The business of hourly work

In 2016, Sanish Mondkar walked into Philz Coffee's headquarters near Dogpatch in San Francisco to pitch an idea he hadn't yet built. He was not sure what to do first. Write the software, find a customer, or go raise money. Jacob Jaber, the founder and CEO of Philz, listened, argued with him on a couple of points, and then told him that if he built it, Philz would use it.

Jaber went further than that. He gave Mondkar office space upstairs and let him into the stores to work with managers and baristas. Philz became Legion's first customer and rolled it out nationwide.

"I wasn't expecting that," Mondkar told the CEO.com Podcast. "I think that was pretty instrumental, and I'm very grateful for that."

Mondkar did not need the office space. Before Legion, he was executive vice president and chief product officer at SAP, responsible for every product in the company's procurement and business network line, including Ariba, Fieldglass and Crossgate, a portfolio worth more than $1 billion a year. He came to SAP through Ariba, where he spent more than a decade, starting as an engineer on the Ariba Network and ending as chief product officer, seeing the company through its 2012 sale to SAP under Bill McDermott.

What he couldn't get past after he left was the gap between the software he had spent his career building and the people ringing him up at the grocery store.

"All of us are interacting with frontline workers in some shape or form, whether it's at grocery stores, cafés, restaurants, or retail stores, but they're using very archaic and obsolete ways," he said. "There is not much that's improved in their fundamental experience for decades. As a technologist and a product builder, initially, I was drawn to the question of why that is the case. That curiosity, over a period of time, turned into a calling, a passion, and a really deep motivation to solve that problem."

Legion sells workforce management software, a category that has existed for as long as retailers have had to schedule people. Mondkar's argument is that the category was designed for the employer alone.

"They were very much oriented towards labor efficiency and cost control, which are very important goals, but they're very employer-centric," he said. "And when you over-index on that, employee experiences suffer, and the turnover in these industries is very, very high."

Legion's platform forecasts how many customers a store will see on a given day, works out how many people it needs, and builds schedules around who is available, who is skilled, and who wants which shifts. Employees get an app, some say over their hours, and the option to be paid as soon as a shift ends. The company's customers include Dollar General, Cinemark, and RaceTrac, which were managing more than 300,000 employees on the platform as early as 2020, according to Legion's Series B announcement that year.

The size of the problem is what keeps him in it. By his count, there are somewhere between 75 and 80 million hourly workers in the United States, with retail alone accounting for more than 30 million and healthcare and manufacturing 12 to 15 million each. Worldwide, the number is more than 2 billion.

"The problem statement and the headroom to grow here are almost boundless," he said. "Going from retail and hospitality to healthcare would substantially increase our addressable market, which we are in the process of doing right now, or going from predominantly selling to the US-based customers to adding Europe, and that would, again, substantially increase our addressable market."

That is what the money was for. Shortly before the interview, Legion closed a $50 million growth round led by Riverwood Capital, with Norwest, Stripes, Webb Investment Network and XYZ joining, taking total funding to $145 million. Mondkar said the company decided it wanted the capital the year before, waited out the regional banking crisis, and closed in the second quarter. In December of that year, it added $50 million in financing from Silicon Valley Bank, bringing the total to $195 million. Its earlier rounds were a $22 million Series B in 2020, led by Stripes with Workday Ventures, Dollar General and NTT DOCOMO Ventures, and a $50 million Series C nine months later, after a year in which the company said it grew 391 percent.

The European expansion he described has happened. In August 2026, Legion made the Inc. 5000 for the fifth year running, on 179 percent revenue growth over three years, and in the announcement Mondkar credited customers ranging from multinational enterprises to UK and European brands.

Mondkar has been using AI in the product since the beginning, long before it was the thing every founder was required to talk about. Workforce management is done every day, in every store, and most of it is the same work repeated. That made it a candidate for automation from day one, and Legion's demand forecasting and schedule optimization have run on machine learning throughout.

Generative AI is the part he is newly excited about, and the reason is specific to his users. They do not sit at computers. They are on a sales floor or a loading dock, and any software that asks them to log in and learn a workflow is asking too much. A conversational layer changes that.

"A manager can say, 'Joe is running late right now. Find a replacement for Joe's shift that starts in 30 minutes,' and Legion can take that, map it back to the right actions inside of workforce management, and present some options to the manager, or just go and execute it, depending on what the instruction was," he said. "We feel like, especially generative AI, is the final piece of the puzzle here, which would truly turn workforce management into this conversational intelligence service that you don't have to log in."

Legion now has seven such assistants in production. The Spring 2026 release added one for district and area leaders who oversee store portfolios. A Forrester study that Legion commissioned and published in August modeled the platform's effect on a composite specialty retailer with 15,000 employees across 700 locations and found forecasting accuracy rising from 87 to 96 percent, managers recovering about seven hours a week, and a 10 percent drop in voluntary turnover. In the release, Mondkar said the figure he kept coming back to was turnover.

His view of what AI does to leadership is less about tools than about obligation. A leader needs three things, he said: vision and strategic thinking, emotional intelligence, and effective communication. Strategy now has to include a position on AI, whether a company builds it or only uses it. "I don't think anybody at the leadership level can be just watching and not reacting to what's going on right now," he said. "You don't need to be an expert in how it works, but you need to really have a point of view on what it's going to do to your organization, your product, or your customers, and have a plan for it."

Legion has been fully remote since the pandemic. Mondkar does not describe it as a phase to get through. He wants the company to be good at it, which means treating onboarding and the other friction points as problems to solve rather than costs to accept. He sorts his week into four buckets, color-coded on the calendar: sales and growth, product and technology, existing customers, and recruiting.

He works out every day, sometimes for 10 minutes, and practices intermittent fasting. He talks about how other people talk about eating lunch.

"I truly speak from my own experiences of the past eight years building Legion; there are more bad days than good days, as any entrepreneur will tell you," he said. "And you need something that is grounding for you, which is not actually tied to just your company's accomplishments."

He reads blogs, listens to podcasts at double speed, and picks books that have nothing to do with his job. At the time of the interview, he was a quarter of the way through David Sinclair's book on longevity, which treats aging as a disease rather than a fact.

The interview took place on a bad day for the stock market, in the middle of an election year in the United States and a couple of dozen other countries. Asked where the macro picture was headed, Mondkar said he wished he knew, that the past 18 months had been turbulent financially, politically, economically and socially, and that he did not see the end of it.

"Control what you can," he said. "For us at Legion, for me personally, as a leader of Legion, controlling what I can is making sure we are staying focused on the things that we need to do that are in front of us. So we have to build great products, and we have to continue helping our customers who are also going through that same turbulence."

He was less equivocal about the long run. Hourly work has been through every recession and every crisis, and it is still here. "I firmly believe Legion is working on a very durable problem," he said.

00:00:00 Introduction to Legion Technologies
00:01:18 Sanish's Background and Journey
00:03:31 Recent $50 Million Funding Round
00:05:19 Growth Strategies for Legion
00:08:06 A Day in the Life of a CEO
00:10:17 Thoughts on Artificial Intelligence
00:15:07 Leadership in the Age of AI
00:19:25 Reading Recommendations
00:21:13 Maintaining Mental Health
00:24:13 Navigating the Macroeconomic Environment
00:27:19 The Importance of Giving Chances

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Yeah,<00:03:43.493> so,<00:03:44.264> uh,<00:03:44.987> I<00:03:45.067> think<00:03:45.308> this<00:03:45.485> is<00:03:45.710> a<00:03:46.224> sort<00:03:46.448> of<00:03:46.754> like<00:03:47.075> any,<00:03:47.573> you<00:03:47.653> know,<00:03:47.878> companies<00:03:48.761> like,<00:03:49.243> uh,<00:03:50.448> I<00:03:50.849> would<00:03:51.187> imagine<00:03:51.572> other<00:03:51.749> companies<00:03:52.311> that<00:03:52.536> are<00:03:52.793> in<00:03:53.018> Legion<00:03:53.339> stage.

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It's<00:03:55.025> a,<00:03:55.443> you<00:03:55.539> know,<00:03:55.828> it's,<00:03:56.390> it's<00:03:57.065> a<00:03:57.193> process<00:03:57.756> of,<00:03:58.960> uh,<00:03:59.538> figuring<00:04:00.004> out<00:04:00.261> what<00:04:00.486> you've<00:04:00.743> built<00:04:01.000> is<00:04:01.145> of<00:04:01.369> value<00:04:02.815> and<00:04:02.976> then<00:04:03.409> figuring<00:04:04.020> out<00:04:04.678> how<00:04:05.080> do<00:04:05.224> you<00:04:05.867> get<00:04:06.589> the<00:04:06.686> product<00:04:07.151> to<00:04:07.232> as<00:04:07.392> many<00:04:07.633> customers<00:04:08.051> as<00:04:08.212> possible.

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And<00:04:09.416> along<00:04:09.737> the<00:04:09.898> way,<00:04:10.203> there<00:04:10.444> are<00:04:11.246> these<00:04:11.407> inflection<00:04:11.984> points,<00:04:12.529> right,<00:04:12.929> where<00:04:13.410> you,<00:04:14.131> you<00:04:14.212> feel<00:04:14.468> like<00:04:14.708> you<00:04:14.869> could<00:04:15.029> use<00:04:15.269> more<00:04:15.430> capital<00:04:16.055> to<00:04:16.151> go<00:04:16.375> faster<00:04:17.033> or<00:04:17.113> do<00:04:17.353> better<00:04:17.898> or<00:04:17.994> whatever<00:04:18.379> the<00:04:18.475> case<00:04:18.716> might<00:04:18.956> be.

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Uh,<00:04:20.479> Legion<00:04:20.815> is<00:04:20.944> at<00:04:21.056> a<00:04:21.120> point<00:04:21.521> where<00:04:21.761> we<00:04:21.921> feel<00:04:22.482> going<00:04:22.707> global<00:04:23.669> and<00:04:23.829> serving<00:04:24.871> markets<00:04:25.512> in<00:04:25.672> more<00:04:25.929> countries<00:04:26.570> and<00:04:26.650> serving<00:04:27.051> our<00:04:27.211> customers<00:04:27.852> better<00:04:28.958> by,<00:04:29.599> uh,<00:04:30.096> you<00:04:30.192> know,<00:04:30.577> just<00:04:30.898> doing<00:04:31.298> more<00:04:31.603> of<00:04:31.763> what<00:04:31.939> we<00:04:32.020> are<00:04:32.100> doing.

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So<00:04:32.500> we're<00:04:32.661> well<00:04:32.901> past<00:04:33.222> product<00:04:33.526> market<00:04:33.799> fit.

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We<00:04:34.344> feel<00:04:34.568> like<00:04:34.825> this<00:04:34.985> is<00:04:35.610> what<00:04:35.786> we<00:04:35.883> have<00:04:36.107> is<00:04:36.267> working.

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Uh,<00:04:37.934> it's<00:04:38.255> a<00:04:38.896> It<00:04:39.009> is<00:04:39.153> a<00:04:39.234> matter<00:04:39.699> of<00:04:39.892> now,<00:04:40.535> of<00:04:40.743> course,<00:04:40.936> doing<00:04:41.161> that<00:04:41.466> better.

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So<00:04:41.964> there's<00:04:42.125> continuous<00:04:42.767> improvement<00:04:43.313> elements<00:04:43.731> to<00:04:43.875> it,<00:04:44.052> but<00:04:44.277> also<00:04:45.176> doing<00:04:45.481> that<00:04:45.738> on<00:04:45.883> a<00:04:46.059> bigger<00:04:46.525> and<00:04:46.702> broader<00:04:47.023> scale.

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So<00:04:48.003> that<00:04:48.212> was<00:04:48.388> the,<00:04:49.255> uh,<00:04:49.609> that<00:04:49.769> was<00:04:49.914> the<00:04:49.994> realization<00:04:50.781> we<00:04:50.878> had,<00:04:51.504> uh,<00:04:52.002> sometime<00:04:52.387> last<00:04:52.708> year.

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Uh,<00:04:54.090> and<00:04:54.250> then,<00:04:54.796> uh,<00:04:55.037> you<00:04:55.069> know,<00:04:55.615> we,<00:04:55.937> we,<00:04:56.258> we<00:04:56.402> had<00:04:56.595> some,<00:04:56.981> we<00:04:57.125> were,<00:04:57.623> we<00:04:57.864> paused<00:04:58.249> for<00:04:58.506> the<00:04:58.892> right<00:04:59.213> timing<00:04:59.791> for<00:05:00.755> raising<00:05:01.156> around<00:05:01.558> because<00:05:01.943> there<00:05:02.023> were<00:05:02.120> some,<00:05:02.361> all<00:05:02.521> these<00:05:02.682> interesting<00:05:03.083> things<00:05:03.324> going<00:05:03.630> on<00:05:03.726> last<00:05:04.031> year<00:05:04.288> with,<00:05:04.673> uh,<00:05:04.898> you<00:05:04.946> know,<00:05:05.476> the<00:05:05.573> banking<00:05:05.974> crisis<00:05:06.600> and,<00:05:07.563> uh,<00:05:08.221> you<00:05:08.413> know,<00:05:08.542> things<00:05:08.766> of<00:05:08.863> that<00:05:09.039> nature.

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So<00:05:09.986> we,<00:05:10.548> we<00:05:10.628> did<00:05:10.772> our<00:05:10.933> round,<00:05:11.350> we<00:05:11.671> initiated<00:05:12.233> that<00:05:13.260> late<00:05:13.501> last<00:05:13.838> year,<00:05:14.063> and<00:05:14.239> we,<00:05:14.560> we<00:05:14.705> completed<00:05:15.202> that<00:05:15.379> in<00:05:15.507> the<00:05:15.539> second<00:05:15.844> quarter<00:05:16.085> of<00:05:16.245> this<00:05:16.470> year.

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Oh,<00:05:17.770> that's<00:05:17.995> incredible.

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And<00:05:20.033> so<00:05:20.338> what's<00:05:20.739> the<00:05:20.883> idea<00:05:21.204> here?

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Like,<00:05:22.023> how<00:05:22.183> do<00:05:22.248> you<00:05:22.408> grow<00:05:22.585> this<00:05:22.809> thing<00:05:23.066> even<00:05:23.291> more?

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Yeah,<00:05:24.992> so<00:05:25.393> if<00:05:25.538> you<00:05:25.634> think<00:05:25.810> about<00:05:26.099> fundamentally<00:05:26.677> what<00:05:26.902> we<00:05:26.998> do,<00:05:27.319> right,<00:05:27.640> we<00:05:27.865> are,<00:05:28.683> we<00:05:28.924> are<00:05:29.422> a<00:05:29.486> platform<00:05:29.951> that<00:05:30.128> serves<00:05:30.449> employees<00:05:30.994> and<00:05:31.508> employees<00:05:32.053> both.

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That<00:05:32.599> is<00:05:32.759> our<00:05:32.936> value<00:05:33.176> proposition.

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So,<00:05:34.139> and<00:05:34.283> that<00:05:34.444> is<00:05:34.620> what,<00:05:35.086> you<00:05:35.118> know,<00:05:35.278> employers<00:05:35.808> want.

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That<00:05:36.080> is<00:05:36.209> what<00:05:36.305> employees<00:05:36.786> want.

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There<00:05:37.909> is<00:05:38.134> a<00:05:38.230> lot<00:05:38.407> of<00:05:38.551> common<00:05:38.952> ground<00:05:39.514> which<00:05:39.674> has<00:05:40.075> not<00:05:40.396> really<00:05:40.781> been<00:05:41.022> explored<00:05:42.161> in<00:05:42.305> workforce<00:05:42.642> management<00:05:42.963> platforms<00:05:43.524> before.

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They<00:05:44.712> were<00:05:44.888> very<00:05:45.129> much<00:05:45.434> oriented<00:05:45.931> towards<00:05:46.573> the<00:05:48.001> labor<00:05:48.321> efficiency<00:05:49.364> and,<00:05:50.022> you<00:05:50.118> know,<00:05:50.263> cost<00:05:50.648> control,<00:05:51.065> which<00:05:51.289> are<00:05:51.386> very<00:05:51.546> important<00:05:52.027> goals,<00:05:52.348> but<00:05:52.429> they<00:05:52.525> are<00:05:52.557> very<00:05:52.830> employer-centric.

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And<00:05:55.300> when<00:05:55.541> you,<00:05:56.263> when<00:05:56.423> you<00:05:56.600> do<00:05:57.482> when<00:05:57.706> you<00:05:58.027> over-index<00:05:58.684> on<00:05:58.845> that,<00:06:00.031> employee<00:06:00.592> experiences<00:06:01.634> suffer<00:06:02.355> and<00:06:02.772> the<00:06:02.933> turnover<00:06:03.430> in<00:06:03.494> these<00:06:03.734> industries<00:06:04.455> is<00:06:04.616> very,<00:06:04.856> very<00:06:05.177> high.

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We<00:06:06.299> wanted<00:06:06.556> to<00:06:06.876> achieve<00:06:07.261> the<00:06:07.341> right<00:06:07.582> balancing<00:06:08.062> act.

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So<00:06:08.928> that,<00:06:09.345> that's<00:06:09.650> been<00:06:09.810> the<00:06:09.890> message,<00:06:10.387> that's<00:06:10.627> been<00:06:10.788> the<00:06:10.948> product<00:06:11.221> capabilities.

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Now,<00:06:13.673> when<00:06:13.834> you<00:06:13.994> take<00:06:14.218> a<00:06:14.250> step<00:06:14.635> back,<00:06:15.517> you<00:06:16.399> can<00:06:17.024> sort<00:06:17.136> of<00:06:17.344> just<00:06:17.745> quickly<00:06:18.082> come<00:06:18.242> to<00:06:18.338> the<00:06:18.483> conclusion<00:06:19.044> through<00:06:19.188> just<00:06:19.364> basic<00:06:19.829> math<00:06:20.102> that<00:06:20.711> actually<00:06:20.951> it's<00:06:21.048> a<00:06:21.064> very<00:06:21.368> broad<00:06:21.673> problem<00:06:21.993> statement.

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It,<00:06:22.875> it<00:06:23.454> This<00:06:25.225> balanced<00:06:25.789> perspective<00:06:26.594> of<00:06:26.772> managing<00:06:27.303> labor<00:06:27.625> applies<00:06:28.124> to<00:06:28.591> all<00:06:28.849> labor-intensive<00:06:29.574> industries.

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We<00:06:31.217> are<00:06:31.265> talking<00:06:31.443> about<00:06:31.783> retail<00:06:32.285> with<00:06:32.447> 30+<00:06:33.078> million<00:06:33.402> workers<00:06:34.066> in<00:06:34.146> the<00:06:34.308> US.

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We<00:06:34.842> are<00:06:34.875> talking<00:06:35.134> about<00:06:35.506> healthcare<00:06:36.316> and<00:06:36.979> manufacturing<00:06:37.950> with<00:06:38.193> each<00:06:38.355> one<00:06:38.501> of<00:06:38.598> them<00:06:38.841> 12<00:06:39.083> to<00:06:39.164> 15<00:06:39.569> million<00:06:39.812> workers.

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We're<00:06:40.459> talking<00:06:40.782> about<00:06:42.819> service<00:06:43.450> industry,<00:06:44.096> financial<00:06:44.662> industry.

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There<00:06:45.648> is,<00:06:46.037> there<00:06:46.263> are<00:06:46.586> basically<00:06:47.669> somewhere<00:06:48.057> between<00:06:48.316> 75<00:06:49.028> to<00:06:49.254> 80<00:06:49.400> million<00:06:49.752> hourly<00:06:50.087> workers<00:06:50.439> in<00:06:50.523> the<00:06:50.673> US.

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Serving<00:06:52.716> these<00:06:52.956> labor-intensive<00:06:53.598> industries.

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When<00:06:54.866> you<00:06:54.962> take<00:06:55.203> a<00:06:55.219> step<00:06:55.524> back<00:06:55.780> even<00:06:56.085> further,<00:06:56.968> there<00:06:57.064> are<00:06:57.209> over<00:06:57.834> 2<00:06:58.091> billion<00:06:58.637> hourly<00:06:58.957> workers<00:06:59.920> in<00:07:00.017> the<00:07:00.177> world.

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So<00:07:01.220> the<00:07:02.183> problem<00:07:02.664> statement<00:07:03.450> and<00:07:03.691> the<00:07:03.723> headroom<00:07:04.349> to<00:07:04.509> grow<00:07:04.750> here<00:07:05.071> is<00:07:05.376> almost<00:07:05.633> boundless.

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And<00:07:07.093> so<00:07:08.104> the<00:07:08.200> way<00:07:08.424> we<00:07:08.585> think<00:07:08.777> about<00:07:09.098> it<00:07:09.307> is,<00:07:10.061> of<00:07:10.206> course,<00:07:10.607> we<00:07:10.847> have<00:07:11.088> to<00:07:12.131> grow<00:07:12.372> one<00:07:12.532> step<00:07:12.773> at<00:07:12.853> a<00:07:12.933> time,<00:07:13.318> but<00:07:13.575> each<00:07:13.720> one<00:07:13.816> of<00:07:13.896> those<00:07:14.008> steps<00:07:14.377> can<00:07:14.618> be<00:07:14.843> very<00:07:15.019> meaningful<00:07:15.645> and<00:07:15.741> impactful.

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For<00:07:16.560> example,<00:07:17.025> going<00:07:17.250> from<00:07:17.426> retail<00:07:17.747> and<00:07:17.827> hospitality<00:07:18.533> to<00:07:18.630> healthcare.

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That<00:07:19.833> would<00:07:20.539> add—<00:07:21.116> that<00:07:21.341> would<00:07:21.501> substantially<00:07:22.223> increase<00:07:22.624> our<00:07:22.720> addressable<00:07:23.282> market,<00:07:24.710> which<00:07:24.886> is—<00:07:25.592> we<00:07:25.624> are<00:07:25.688> in<00:07:25.769> the<00:07:25.913> process<00:07:26.314> of<00:07:26.474> doing<00:07:26.731> that<00:07:26.956> right<00:07:27.196> now.

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Or<00:07:27.934> going<00:07:28.239> from<00:07:29.121> predominantly<00:07:29.843> selling<00:07:30.405> to<00:07:30.501> the<00:07:30.806> US-based<00:07:32.907> customers<00:07:33.613> to<00:07:34.656> adding<00:07:35.378> Europe,<00:07:36.741> and<00:07:36.918> that<00:07:37.142> would<00:07:37.239> again<00:07:37.576> substantially<00:07:38.265> increase<00:07:38.747> our<00:07:38.843> addressable<00:07:39.388> market.

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So<00:07:40.271> those<00:07:40.463> are<00:07:40.527> the<00:07:40.688> type<00:07:40.993> of<00:07:41.233> very<00:07:41.554> impactful<00:07:42.196> growth<00:07:42.452> vectors<00:07:43.575> that<00:07:43.816> we<00:07:43.977> think<00:07:44.201> can<00:07:44.442> be<00:07:44.602> unlocked<00:07:45.501> with<00:07:46.160> some<00:07:46.386> investment,<00:07:46.951> and<00:07:47.096> obviously<00:07:47.435> a<00:07:47.499> lot<00:07:47.612> of<00:07:47.693> execution.

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So<00:07:48.871> that's<00:07:49.129> how<00:07:49.532> we<00:07:50.726> are<00:07:50.759> sort<00:07:50.984> of<00:07:51.065> mapping<00:07:51.533> out<00:07:51.775> Legion's<00:07:52.179> growth,<00:07:53.227> uh,<00:07:53.792> you<00:07:53.889> know,<00:07:54.276> and,<00:07:54.518> and,<00:07:54.841> and<00:07:55.099> as<00:07:55.244> I<00:07:55.454> said,<00:07:55.807> the,<00:07:56.129> the<00:07:56.209> size<00:07:56.482> of<00:07:56.546> the<00:07:56.627> market<00:07:57.334> and<00:07:57.655> the<00:07:57.735> headroom<00:07:58.137> here<00:07:58.314> is<00:07:58.394> so<00:07:58.539> much<00:07:58.700> that<00:07:58.796> we<00:07:58.876> could<00:07:59.117> be<00:07:59.680> sort<00:07:59.840> of<00:08:00.001> doing<00:08:00.403> that<00:08:01.512> one<00:08:01.945> impactful<00:08:03.054> step<00:08:03.392> at<00:08:03.456> a<00:08:03.536> time<00:08:03.777> for<00:08:03.938> a<00:08:04.018> long<00:08:04.259> period<00:08:04.500> of<00:08:04.661> time<00:08:04.822> and<00:08:04.903> continue<00:08:05.307> growing.

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What<00:08:06.472> does<00:08:06.618> a<00:08:06.683> typical<00:08:07.087> day<00:08:07.314> look<00:08:07.492> like<00:08:07.718> for<00:08:07.816> you?

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Uh,<00:08:10.546> lots<00:08:10.942> of<00:08:11.124> remote<00:08:11.454> meetings<00:08:11.850> over<00:08:12.032> Zoom.

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So<00:08:13.496> Legion<00:08:13.962> is<00:08:14.139> a<00:08:14.284> remote-first<00:08:15.104> company.

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We<00:08:15.909> went<00:08:16.472> basically<00:08:17.035> fully<00:08:17.357> remote<00:08:17.904> after<00:08:18.161> the<00:08:18.242> pandemic,<00:08:18.740> like<00:08:19.030> many<00:08:19.271> others<00:08:20.172> did,<00:08:20.639> and<00:08:20.960> we<00:08:21.057> never<00:08:21.282> looked<00:08:21.459> back.

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Our<00:08:23.984> goal<00:08:24.306> was<00:08:24.628> to<00:08:25.336> not<00:08:25.594> just,<00:08:27.348> and<00:08:27.670> is,<00:08:27.928> the<00:08:28.008> goal<00:08:28.314> is<00:08:28.572> to<00:08:29.377> not<00:08:29.602> just<00:08:29.779> think<00:08:29.940> about<00:08:31.067> being<00:08:31.325> remote<00:08:31.695> as<00:08:31.856> a<00:08:31.937> phase<00:08:32.436> that<00:08:32.661> we<00:08:32.742> are<00:08:32.838> going<00:08:33.080> through,<00:08:33.241> but<00:08:33.402> we<00:08:33.549> want<00:08:33.713> to<00:08:33.811> really<00:08:34.137> be<00:08:34.219> good<00:08:34.529> at<00:08:34.627> it.

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We<00:08:35.101> truly<00:08:35.444> believe<00:08:35.771> this<00:08:35.999> is,<00:08:37.061> you<00:08:37.094> know,<00:08:38.864> By<00:08:39.106> and<00:08:39.332> large,<00:08:39.832> the<00:08:40.462> way<00:08:41.269> at<00:08:41.365> least<00:08:41.607> technology<00:08:42.237> work<00:08:42.495> is<00:08:42.656> gonna,<00:08:43.786> it<00:08:43.963> is<00:08:44.109> going<00:08:44.254> to<00:08:44.335> happen<00:08:44.609> in<00:08:44.673> the<00:08:44.819> future.

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That's<00:08:45.383> what<00:08:45.642> employees<00:08:46.287> want.

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Now<00:08:47.901> we<00:08:47.981> gotta<00:08:48.206> figure<00:08:48.528> out<00:08:48.689> how<00:08:48.882> to<00:08:49.107> take<00:08:49.413> the<00:08:49.574> friction<00:08:50.056> points<00:08:50.619> like<00:08:52.549> employee<00:08:52.951> onboarding<00:08:53.675> and<00:08:53.772> other<00:08:54.013> things<00:08:54.270> and<00:08:54.415> make<00:08:54.640> them<00:08:54.898> work<00:08:55.945> and<00:08:58.446> improve<00:08:58.833> all<00:08:58.994> those<00:08:59.172> things.

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So<00:09:00.382> back<00:09:00.543> to<00:09:00.624> the<00:09:00.769> question,<00:09:01.124> yes,<00:09:01.350> lots<00:09:01.656> of<00:09:01.915> remote<00:09:02.302> meetings<00:09:02.624> over<00:09:02.866> Zoom.

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I<00:09:03.770> try<00:09:03.931> to<00:09:04.093> divide<00:09:04.657> my,<00:09:05.972> week<00:09:06.372> into<00:09:06.693> sort<00:09:06.869> of<00:09:07.815> the<00:09:07.911> time<00:09:08.360> spent<00:09:08.841> over<00:09:09.033> 4<00:09:09.418> categories.

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One<00:09:10.364> is<00:09:10.636> of<00:09:10.781> course<00:09:11.021> sales/growth,<00:09:13.249> uh,<00:09:13.506> then<00:09:13.746> it's<00:09:14.131> product,<00:09:15.109> product<00:09:15.494> innovation,<00:09:16.071> technology.

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Uh,<00:09:17.674> third<00:09:18.059> is<00:09:18.235> customers,<00:09:19.117> so,<00:09:19.742> uh,<00:09:19.918> you<00:09:19.998> know,<00:09:20.223> existing<00:09:20.720> customers<00:09:21.585> and,<00:09:21.986> you<00:09:22.419> know,<00:09:22.868> meeting,<00:09:23.509> uh,<00:09:24.311> our<00:09:24.551> customer<00:09:24.904> sponsors<00:09:25.689> and,<00:09:26.234> uh,<00:09:26.811> building<00:09:27.068> a<00:09:27.132> relationship<00:09:27.677> with<00:09:27.837> them.

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And<00:09:28.976> last<00:09:29.296> but<00:09:29.440> definitely<00:09:29.841> not<00:09:30.082> the<00:09:30.162> least,<00:09:30.418> people.

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Employees<00:09:33.773> and,<00:09:34.255> you<00:09:34.335> know,<00:09:35.074> candidates<00:09:36.456> that<00:09:36.681> we<00:09:36.842> are<00:09:37.227> trying<00:09:37.468> to<00:09:37.565> recruit.

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So<00:09:37.966> these<00:09:38.191> are<00:09:38.223> sort<00:09:38.432> of<00:09:38.513> the—<00:09:39.236> how<00:09:39.477> I<00:09:40.360> bucket<00:09:40.778> my<00:09:41.099> week<00:09:41.581> and<00:09:41.726> the<00:09:41.887> time.

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And<00:09:42.610> I,<00:09:43.574> I'm<00:09:43.734> one<00:09:43.831> of<00:09:43.911> those<00:09:44.152> people<00:09:44.409> who<00:09:44.554> color<00:09:44.875> codes<00:09:45.277> the<00:09:45.839> meeting<00:09:46.145> calendar<00:09:46.868> and,<00:09:47.060> you<00:09:47.205> know,<00:09:47.526> everything<00:09:47.912> is<00:09:47.960> sort<00:09:48.185> of<00:09:48.394> organized.

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Um,<00:09:50.740> in<00:09:50.885> addition,<00:09:51.447> in<00:09:51.608> addition<00:09:51.945> to<00:09:52.090> that,<00:09:52.491> I,<00:09:52.893> I,<00:09:53.616> I'm<00:09:54.355> very<00:09:54.596> disciplined<00:09:55.175> about,<00:09:55.865> uh,<00:09:56.508> working<00:09:56.910> out<00:09:57.071> every<00:09:57.312> day<00:09:57.810> and<00:09:58.678> Taking<00:09:58.936> care<00:09:59.242> of<00:09:59.500> my<00:09:59.741> health,<00:10:01.513> I<00:10:02.076> think<00:10:02.463> everybody<00:10:02.801> should<00:10:03.204> do<00:10:03.445> that.

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That<00:10:04.154> is<00:10:04.315> the<00:10:05.877> most<00:10:06.924> important<00:10:07.311> thing<00:10:07.440> you've<00:10:07.617> got.

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So,<00:10:09.087> that's<00:10:09.329> sort<00:10:09.490> of<00:10:09.797> my,<00:10:12.220> the<00:10:12.316> main<00:10:12.639> things<00:10:14.319> that<00:10:15.546> I<00:10:15.627> spend<00:10:15.934> time<00:10:16.192> on<00:10:16.354> in<00:10:16.434> a<00:10:16.515> day.

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How<00:10:17.432> are<00:10:17.514> you<00:10:17.678> thinking<00:10:18.022> about<00:10:18.496> artificial<00:10:19.053> intelligence?

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I<00:10:21.836> think<00:10:22.163> it<00:10:23.292> is,<00:10:24.274> I'm<00:10:24.945> sure<00:10:25.190> you've<00:10:25.436> heard<00:10:25.600> this,<00:10:26.582> People<00:10:26.903> talk<00:10:27.144> about<00:10:27.465> it<00:10:27.625> like<00:10:28.171> overhyped<00:10:29.054> in<00:10:29.151> the<00:10:29.247> near<00:10:29.696> term,<00:10:30.836> underhyped<00:10:31.575> in<00:10:31.703> the<00:10:31.864> long<00:10:32.121> term.

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I<00:10:33.951> truly<00:10:34.192> believe<00:10:34.433> that<00:10:34.770> with<00:10:35.252> artificial<00:10:35.669> intelligence.

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So<00:10:36.921> just<00:10:37.162> taking<00:10:37.483> a<00:10:37.515> step<00:10:37.821> back,<00:10:38.944> Legion<00:10:39.330> was<00:10:39.587> founded<00:10:40.791> with<00:10:41.834> the—<00:10:42.075> we<00:10:42.156> had<00:10:42.332> two<00:10:42.477> fundamental<00:10:43.119> goals<00:10:43.440> of<00:10:43.681> where<00:10:43.922> we<00:10:44.002> wanted<00:10:44.307> to<00:10:44.339> evolve<00:10:44.789> workforce<00:10:45.126> management.

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One<00:10:45.913> was<00:10:46.330> make<00:10:46.555> it<00:10:46.651> more<00:10:46.812> employee-centric,<00:10:48.803> as<00:10:48.963> I<00:10:49.043> talked<00:10:49.236> about<00:10:49.525> the<00:10:49.621> balance.

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And<00:10:51.612> the<00:10:51.773> other<00:10:52.014> is,<00:10:52.560> to<00:10:53.059> automate<00:10:53.462> workforce<00:10:53.866> management<00:10:55.155> using<00:10:55.575> data.

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So<00:10:59.106> in<00:10:59.589> our<00:10:59.993> customer<00:11:00.476> organizations,<00:11:02.489> workforce<00:11:02.892> management<00:11:03.697> is<00:11:03.794> a<00:11:03.858> critical<00:11:04.180> platform<00:11:04.664> that<00:11:04.776> gets<00:11:04.986> used<00:11:05.324> every<00:11:05.501> single<00:11:05.807> day.

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So<00:11:06.387> to<00:11:06.516> schedule<00:11:06.999> employees,<00:11:07.498> to<00:11:07.579> capture<00:11:07.981> time,<00:11:08.239> you<00:11:08.303> can<00:11:08.464> imagine<00:11:08.851> it<00:11:08.948> is<00:11:09.092> like<00:11:09.270> a<00:11:09.560> daily<00:11:09.994> operational<00:11:10.638> and<00:11:10.783> mission-critical<00:11:11.347> platform.

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Well,<00:11:13.198> it's<00:11:13.520> also<00:11:13.858> a<00:11:13.938> great<00:11:14.824> candidate<00:11:16.257> to<00:11:16.353> fully<00:11:16.820> automate.

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If<00:11:17.706> you<00:11:17.947> are<00:11:18.108> going<00:11:18.269> to<00:11:18.366> do<00:11:18.446> the<00:11:18.591> same<00:11:18.929> thing<00:11:19.155> over<00:11:19.300> and<00:11:19.399> over,<00:11:20.064> you<00:11:20.097> know,<00:11:20.662> it's<00:11:21.659> not<00:11:21.808> a<00:11:21.825> high-value<00:11:22.357> thing<00:11:22.423> to<00:11:22.490> do<00:11:24.130> manually,<00:11:25.378> manually<00:11:25.946> and<00:11:26.092> repeat<00:11:27.568> the<00:11:27.665> same<00:11:27.974> things<00:11:28.363> and<00:11:28.558> spend<00:11:28.947> time<00:11:29.352> doing<00:11:29.985> the<00:11:30.066> same<00:11:30.309> things<00:11:30.553> over<00:11:30.731> and<00:11:30.877> over<00:11:30.990> again.

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So<00:11:32.220> we,<00:11:33.062> we<00:11:33.304> aspired—<00:11:34.016> this<00:11:34.178> was<00:11:34.275> our<00:11:34.437> founding<00:11:34.744> thesis—<00:11:35.148> we<00:11:35.245> aspired<00:11:35.569> to<00:11:35.650> fully<00:11:36.054> automate<00:11:36.766> workforce<00:11:37.171> management,<00:11:37.672> and<00:11:37.818> we<00:11:37.915> had<00:11:38.076> to<00:11:38.222> from<00:11:38.481> day<00:11:38.643> one<00:11:38.885> lean<00:11:39.193> a<00:11:39.274> lot<00:11:39.516> on<00:11:39.759> AI.

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So<00:11:42.753> in<00:11:42.996> Legion,<00:11:43.579> we<00:11:43.806> have<00:11:44.065> a<00:11:44.292> lot<00:11:44.551> of—<00:11:46.397> almost<00:11:46.721> all<00:11:46.802> our<00:11:46.900> customers<00:11:47.450> use<00:11:47.774> AI<00:11:47.952> in<00:11:48.098> some<00:11:48.260> shape<00:11:48.519> or<00:11:48.616> form,<00:11:48.924> whether<00:11:49.167> it<00:11:49.329> is<00:11:49.491> to<00:11:50.115> to<00:11:50.279> predict<00:11:50.624> demand.

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For<00:11:53.546> if<00:11:53.691> you're<00:11:53.853> a<00:11:53.869> retailer,<00:11:54.581> you<00:11:54.614> know,<00:11:54.905> knowing<00:11:55.228> how<00:11:55.326> many<00:11:55.568> customers<00:11:57.591> that<00:11:57.818> you<00:11:57.915> have<00:11:58.238> for<00:11:58.400> a<00:11:58.481> particular<00:11:58.966> given<00:11:59.274> day<00:11:59.452> or<00:11:59.678> time<00:12:00.649> would<00:12:00.973> allow<00:12:01.313> you<00:12:01.475> to<00:12:01.782> accurately<00:12:02.186> plan<00:12:02.508> labor.

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So<00:12:03.105> demand<00:12:03.894> forecasting<00:12:04.603> is<00:12:04.764> huge,<00:12:05.086> and<00:12:05.247> we<00:12:05.344> use<00:12:06.150> machine<00:12:06.536> learning<00:12:06.859> and<00:12:06.955> deep<00:12:07.197> learning<00:12:07.519> for<00:12:07.664> that.

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We<00:12:09.050> schedule<00:12:09.437> optimization,<00:12:10.436> figuring<00:12:10.806> out<00:12:12.017> who's<00:12:12.356> the<00:12:12.518> right<00:12:12.840> person<00:12:13.244> to<00:12:13.325> be<00:12:13.567> placed<00:12:13.890> at<00:12:13.970> the<00:12:14.051> right<00:12:14.309> time<00:12:14.842> based<00:12:15.165> on<00:12:15.278> employee<00:12:15.682> skills<00:12:16.214> and<00:12:16.376> work<00:12:16.553> preferences.

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So<00:12:17.425> both<00:12:17.538> sides<00:12:17.909> are<00:12:18.006> happy.

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Those<00:12:18.975> types<00:12:19.217> of<00:12:19.298> things<00:12:19.378> are,<00:12:19.427> we<00:12:19.475> use,<00:12:23.037> some<00:12:23.278> pretty<00:12:24.164> deep<00:12:24.566> adoption<00:12:25.033> of<00:12:25.275> AI.

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Now,<00:12:27.304> more<00:12:27.545> recently,<00:12:27.964> of<00:12:28.173> course,<00:12:29.936> there<00:12:30.081> is<00:12:30.242> a<00:12:30.323> lot<00:12:30.500> of<00:12:30.661> focus<00:12:31.547> on<00:12:31.692> generative<00:12:32.047> AI.

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And<00:12:33.078> generative<00:12:33.625> AI<00:12:34.028> has<00:12:34.286> a<00:12:34.447> very<00:12:35.156> unique<00:12:35.655> value<00:12:35.977> proposition<00:12:36.783> for<00:12:38.458> applications<00:12:39.101> like<00:12:39.375> Legion,<00:12:39.761> like<00:12:40.002> workforce<00:12:40.469> management<00:12:40.952> as<00:12:41.048> a<00:12:41.193> category.

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Because<00:12:42.673> if<00:12:42.802> you<00:12:42.883> think<00:12:43.076> about,<00:12:43.526> we<00:12:43.703> predominantly<00:12:44.443> serve<00:12:45.297> deskless<00:12:45.704> workers,<00:12:46.939> right?

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So<00:12:47.264> they're<00:12:47.671> not<00:12:48.500> sitting<00:12:48.825> at<00:12:48.907> a<00:12:48.972> computer<00:12:49.785> like<00:12:50.191> technology<00:12:50.679> workers<00:12:50.825> or<00:12:50.874> many<00:12:50.972> other<00:12:51.118> type<00:12:51.167> of,<00:12:51.248> you<00:12:51.281> know,<00:12:53.412> jobs<00:12:53.876> out<00:12:54.036> there.

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They<00:12:54.838> are<00:12:55.238> out,<00:12:56.360> uh,<00:12:56.776> facing<00:12:57.321> customers,<00:12:58.074> they're<00:12:58.443> out<00:12:58.923> on<00:12:59.084> a<00:12:59.324> factory<00:12:59.821> floor,<00:13:00.365> they're<00:13:00.686> out<00:13:00.958> in<00:13:01.102> distribution<00:13:01.679> centers.

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So<00:13:03.971> how<00:13:04.147> do<00:13:04.307> they<00:13:04.531> interface<00:13:05.268> with<00:13:05.429> the<00:13:05.669> platform,<00:13:06.470> that<00:13:06.694> is<00:13:07.512> workforce<00:13:07.976> management,<00:13:08.617> which<00:13:08.793> is<00:13:08.954> going<00:13:09.194> to<00:13:09.290> assign<00:13:09.739> tasks<00:13:10.219> to<00:13:10.380> them<00:13:10.620> which<00:13:10.716> they<00:13:10.780> have<00:13:10.940> to<00:13:11.037> mark<00:13:11.373> complete,<00:13:11.982> or<00:13:12.158> they<00:13:12.190> have<00:13:12.382> to—<00:13:12.879> it<00:13:12.959> will<00:13:13.103> assign<00:13:13.440> schedules<00:13:14.065> and<00:13:14.161> shifts?

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And,<00:13:15.907> uh,<00:13:16.388> these<00:13:16.564> things<00:13:16.789> are<00:13:16.885> changing<00:13:17.350> all<00:13:17.446> the<00:13:17.526> time<00:13:17.766> without<00:13:18.087> being<00:13:18.231> in<00:13:18.327> front<00:13:18.711> of<00:13:18.808> the<00:13:18.888> computer.

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Well,<00:13:20.250> generative<00:13:20.714> AI<00:13:21.051> has<00:13:22.479> offers<00:13:23.443> a<00:13:23.603> great<00:13:24.037> step<00:13:24.744> forward<00:13:25.949> by<00:13:26.495> providing<00:13:26.977> a<00:13:27.009> natural<00:13:27.635> language<00:13:28.181> interface<00:13:28.920> that<00:13:29.081> can<00:13:29.241> be<00:13:29.402> mapped<00:13:29.804> to<00:13:30.028> all<00:13:30.189> the<00:13:30.285> complexities<00:13:31.667> of<00:13:31.876> workforce<00:13:32.277> management,<00:13:32.775> business<00:13:33.161> processes,<00:13:33.659> and<00:13:33.819> workflows.

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So<00:13:34.944> we<00:13:35.104> think<00:13:35.409> about<00:13:36.213> generative<00:13:36.614> AI<00:13:37.096> as<00:13:37.337> giving<00:13:37.755> that<00:13:38.076> layer<00:13:38.702> of,<00:13:39.505> of,<00:13:40.228> you<00:13:40.325> know,<00:13:41.208> natural<00:13:41.529> language<00:13:41.915> conversations<00:13:43.457> that<00:13:44.099> users<00:13:44.726> of<00:13:44.919> Legion<00:13:45.449> can<00:13:45.706> use<00:13:46.027> to<00:13:46.428> not<00:13:46.669> just<00:13:47.777> interface<00:13:48.274> and<00:13:48.434> get<00:13:48.594> information<00:13:49.235> like<00:13:49.412> a<00:13:49.476> Q&A<00:13:49.893> type<00:13:50.181> of<00:13:50.293> thing,<00:13:50.438> like<00:13:50.534> a<00:13:50.598> ChatGPT,<00:13:51.944> but<00:13:52.105> also<00:13:52.265> execute<00:13:52.746> actions.

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They<00:13:53.243> can<00:13:53.403> say,<00:13:53.644> hey,<00:13:53.964> you<00:13:54.060> know,<00:13:54.926> Joe<00:13:55.166> is<00:13:55.407> not—<00:13:55.808> a<00:13:55.824> manager<00:13:56.224> can<00:13:56.465> say,<00:13:56.914> Joe<00:13:57.106> is<00:13:57.651> running<00:13:58.036> late<00:13:58.292> right<00:13:58.597> now,<00:13:59.815> find<00:14:00.232> a<00:14:00.280> replacement<00:14:01.017> for<00:14:01.258> Joe's<00:14:01.963> shift<00:14:02.364> from<00:14:02.781> that<00:14:03.005> starts<00:14:03.406> in<00:14:03.646> 30<00:14:03.887> minutes.

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And<00:14:05.586> Legion<00:14:06.067> can<00:14:06.548> take<00:14:06.868> that<00:14:07.269> and<00:14:07.430> map<00:14:07.814> it<00:14:07.991> back<00:14:08.327> to<00:14:08.455> the<00:14:08.536> right<00:14:09.017> actions<00:14:10.058> inside<00:14:10.395> of<00:14:10.459> workforce<00:14:10.860> management<00:14:11.421> and<00:14:11.597> present<00:14:11.982> some<00:14:12.223> options<00:14:12.575> to<00:14:12.703> the<00:14:12.736> manager<00:14:13.425> or<00:14:13.585> just<00:14:13.761> go<00:14:13.906> and<00:14:13.986> execute<00:14:14.467> it<00:14:14.563> depending<00:14:14.964> on<00:14:15.108> what<00:14:15.204> the<00:14:15.284> instruction<00:14:15.845> was.

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These<00:14:16.887> types<00:14:17.192> of<00:14:17.288> things<00:14:17.673> are<00:14:17.849> now<00:14:18.266> very,<00:14:18.651> very<00:14:18.875> feasible<00:14:19.100> feasible,<00:14:19.758> and<00:14:19.934> we<00:14:20.079> have<00:14:20.175> started<00:14:20.657> to<00:14:20.818> productize<00:14:21.444> them,<00:14:22.504> these<00:14:23.210> conversational<00:14:23.788> capabilities<00:14:24.511> through<00:14:24.687> Legion's<00:14:25.073> assistants,<00:14:25.699> AI<00:14:25.859> assistants.

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So<00:14:28.043> we<00:14:28.268> are<00:14:28.444> very<00:14:28.830> bullish<00:14:29.472> with<00:14:30.195> AI.

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We<00:14:30.628> feel<00:14:30.997> like<00:14:32.298> it<00:14:32.443> is<00:14:32.683> the—<00:14:32.956> especially<00:14:33.663> generative<00:14:34.128> AI<00:14:34.321> is<00:14:34.466> the<00:14:34.690> final<00:14:35.028> piece<00:14:35.493> of<00:14:35.750> the<00:14:36.312> sort<00:14:36.473> of<00:14:36.617> the<00:14:36.794> puzzle<00:14:37.179> here,<00:14:37.516> which<00:14:37.741> would<00:14:38.544> truly<00:14:39.122> turn<00:14:39.507> workforce<00:14:39.989> management<00:14:40.647> into<00:14:40.953> this<00:14:41.209> conversational<00:14:42.253> intelligence<00:14:43.682> service.

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That<00:14:44.982> you<00:14:45.127> don't<00:14:45.351> have<00:14:45.528> to<00:14:45.688> log<00:14:46.009> in,<00:14:46.185> but<00:14:46.490> you<00:14:46.810> as<00:14:46.971> a<00:14:46.987> retail<00:14:47.532> worker<00:14:47.853> or<00:14:48.013> as<00:14:48.125> a<00:14:48.190> service<00:14:48.655> worker<00:14:48.991> or<00:14:49.071> a<00:14:49.216> frontline<00:14:49.649> employee<00:14:50.178> or<00:14:50.274> a<00:14:50.290> manager<00:14:50.739> or<00:14:50.835> a<00:14:50.996> district<00:14:51.397> manager<00:14:52.279> can<00:14:52.455> fully<00:14:53.064> interface<00:14:55.005> with<00:14:55.165> that<00:14:55.406> platform<00:14:56.993> and<00:14:57.731> get<00:14:57.875> a<00:14:57.891> lot<00:14:58.052> of<00:14:58.276> value<00:14:58.773> without<00:14:59.319> learning<00:14:59.655> the<00:14:59.880> platform<00:15:00.457> or<00:15:00.537> without<00:15:00.922> necessarily<00:15:01.980> engaging<00:15:02.462> with<00:15:02.606> the<00:15:02.702> platform<00:15:03.263> in<00:15:03.408> a<00:15:03.424> software,<00:15:04.851> in<00:15:04.947> a<00:15:05.027> conventional<00:15:05.573> software<00:15:05.973> manner.

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Yeah,<00:15:07.834> that's<00:15:08.074> actually<00:15:08.315> really<00:15:08.555> interesting.

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How<00:15:09.100> are<00:15:09.261> you<00:15:09.357> thinking<00:15:09.678> about<00:15:09.999> leadership<00:15:10.720> now<00:15:11.394> Does<00:15:11.767> leadership<00:15:12.319> change?

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Like,<00:15:12.984> what<00:15:13.081> are<00:15:13.162> some<00:15:13.454> like<00:15:13.697> characteristics<00:15:14.849> and<00:15:14.995> traits<00:15:15.400> of<00:15:15.497> leadership<00:15:15.968> that<00:15:16.065> you<00:15:16.211> think<00:15:16.406> are<00:15:16.470> really<00:15:16.714> important?

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And<00:15:17.833> will<00:15:18.076> AI<00:15:18.417> affect<00:15:18.822> any<00:15:18.984> of<00:15:19.130> those?

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I,<00:15:21.327> I<00:15:21.423> think<00:15:21.648> so.

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I<00:15:22.130> mean,<00:15:22.291> I<00:15:22.371> think,<00:15:22.934> um,<00:15:23.737> uh,<00:15:24.300> you<00:15:24.396> know,<00:15:25.039> when<00:15:25.184> you<00:15:25.296> think<00:15:25.441> about<00:15:25.762> leaders<00:15:26.325> and<00:15:26.485> leadership,<00:15:27.112> I<00:15:27.144> mean,<00:15:27.369> just<00:15:28.334> my,<00:15:29.121> uh,<00:15:29.217> sort<00:15:29.523> of<00:15:30.150> philosophy<00:15:30.994> across<00:15:31.464> the<00:15:31.562> board,<00:15:31.789> regardless<00:15:32.292> of<00:15:32.844> what<00:15:33.185> you<00:15:33.331> are<00:15:33.428> leading,<00:15:33.834> whether<00:15:34.224> you<00:15:34.321> are<00:15:34.467> leading<00:15:35.117> a<00:15:35.522> technology<00:15:36.107> company<00:15:36.740> or<00:15:36.918> a<00:15:37.577> or<00:15:37.673> a<00:15:37.754> services<00:15:38.396> company<00:15:39.119> or<00:15:39.279> of,<00:15:39.584> you<00:15:39.616> know,<00:15:39.905> goods<00:15:40.227> or<00:15:40.259> software,<00:15:40.724> whatever<00:15:40.965> it<00:15:41.126> might<00:15:41.351> be,<00:15:41.447> there<00:15:41.592> are<00:15:41.624> sort<00:15:41.832> of<00:15:41.929> the<00:15:42.089> 3<00:15:42.555> most<00:15:42.812> important<00:15:43.246> things<00:15:43.599> for<00:15:43.695> a<00:15:43.792> leader<00:15:44.081> to<00:15:44.177> have<00:15:44.418> is<00:15:44.562> obviously<00:15:45.622> first<00:15:45.879> is<00:15:46.088> vision<00:15:46.409> and<00:15:46.505> strategic<00:15:46.987> thinking.

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You<00:15:47.919> have<00:15:48.047> to,<00:15:48.818> you<00:15:48.850> have<00:15:48.994> to<00:15:49.171> know<00:15:49.637> the<00:15:49.797> calculus<00:15:50.584> of,<00:15:50.841> you<00:15:50.921> know,<00:15:51.162> how<00:15:51.564> you<00:15:51.644> are<00:15:51.805> navigating<00:15:52.431> your<00:15:52.592> company<00:15:53.314> or<00:15:53.411> your<00:15:53.571> team<00:15:54.117> or<00:15:54.294> your<00:15:54.454> department<00:15:55.097> or<00:15:55.177> whatever<00:15:55.498> it<00:15:55.659> might<00:15:55.900> be<00:15:56.702> against,<00:15:57.409> uh,<00:15:58.774> micro<00:15:59.191> and<00:15:59.352> macro<00:16:00.075> goals<00:16:01.038> both.

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And,<00:16:01.664> and,<00:16:01.986> and<00:16:02.178> it's<00:16:02.403> the<00:16:02.483> leader's<00:16:02.885> job<00:16:03.286> to<00:16:03.608> basically<00:16:04.234> have<00:16:04.812> have<00:16:05.117> this,<00:16:05.518> uh,<00:16:06.080> you<00:16:06.112> know,<00:16:06.401> in<00:16:06.497> their<00:16:06.674> minds<00:16:06.979> and<00:16:07.107> have<00:16:07.220> a<00:16:07.364> plan<00:16:07.766> for<00:16:07.926> it<00:16:08.103> and,<00:16:08.889> and<00:16:08.986> look<00:16:09.210> around<00:16:09.467> the<00:16:09.612> corners<00:16:10.109> and<00:16:10.270> whatever,<00:16:10.752> you<00:16:10.848> know,<00:16:11.057> however<00:16:11.378> you<00:16:11.458> want<00:16:11.538> to<00:16:11.618> describe<00:16:12.052> it.

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But<00:16:12.357> that's,<00:16:12.742> to<00:16:12.822> me,<00:16:12.983> it's<00:16:13.160> vision<00:16:13.481> and<00:16:13.545> strategic<00:16:13.962> thinking.

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Uh,<00:16:15.728> the<00:16:15.824> second<00:16:16.290> thing<00:16:16.450> is<00:16:16.611> emotional<00:16:17.109> intelligence,<00:16:17.815> knowing<00:16:18.537> the<00:16:18.682> people,<00:16:19.179> knowing<00:16:19.501> the<00:16:19.661> team,<00:16:20.143> knowing<00:16:20.383> the<00:16:20.528> strengths<00:16:20.945> and<00:16:21.106> weaknesses<00:16:21.587> of,<00:16:21.925> of<00:16:22.069> yourself<00:16:22.695> and<00:16:22.791> your<00:16:22.952> team,<00:16:23.979> and<00:16:24.236> how<00:16:24.477> do<00:16:24.541> you,<00:16:25.264> you<00:16:25.360> know,<00:16:25.665> obviously,<00:16:26.548> uh,<00:16:27.367> improve<00:16:27.832> that<00:16:28.009> but<00:16:28.233> also<00:16:28.651> work<00:16:28.972> with<00:16:29.197> it,<00:16:29.935> right?

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Uh,<00:16:30.658> that's<00:16:31.621> a,<00:16:31.685> you<00:16:31.717> know,<00:16:31.878> motivating<00:16:32.488> people,<00:16:32.905> leading<00:16:33.306> them,<00:16:33.932> uh,<00:16:34.173> with,<00:16:34.494> uh<00:16:35.136> with<00:16:35.312> positive<00:16:35.777> reinforcement.

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And<00:16:37.396> last<00:16:37.636> but<00:16:37.812> not<00:16:38.021> the<00:16:38.117> least,<00:16:38.357> effective<00:16:38.758> communication.

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There<00:16:40.120> could<00:16:40.280> be<00:16:40.425> a<00:16:40.441> lot<00:16:40.601> of<00:16:40.697> things<00:16:41.162> that<00:16:41.386> you<00:16:41.546> have<00:16:41.819> in<00:16:41.963> your<00:16:42.348> mind<00:16:42.845> that<00:16:43.149> you,<00:16:44.127> you<00:16:44.287> need<00:16:44.527> to<00:16:44.752> translate<00:16:45.329> that,<00:16:46.050> you<00:16:46.386> know,<00:16:46.755> into<00:16:47.027> the<00:16:47.108> right<00:16:47.492> words,<00:16:47.957> or<00:16:48.534> whether<00:16:48.694> it's<00:16:48.999> spoken<00:16:49.640> words<00:16:50.121> or<00:16:50.521> written<00:16:50.858> words<00:16:51.322> at<00:16:51.419> the<00:16:51.515> right<00:16:51.835> time,<00:16:53.085> and<00:16:53.983> to,<00:16:54.384> to<00:16:54.544> get<00:16:54.768> the<00:16:54.848> right<00:16:55.666> output<00:16:56.307> from<00:16:56.611> whether<00:16:56.852> it's<00:16:57.028> your<00:16:57.252> employees,<00:16:57.749> your<00:16:57.909> customers,<00:16:58.630> you<00:16:58.711> know,<00:16:59.015> all<00:16:59.111> of<00:16:59.191> that<00:16:59.352> stuff.

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If<00:17:00.618> you<00:17:00.778> think<00:17:01.034> about<00:17:01.595> these<00:17:01.980> are<00:17:02.012> the<00:17:02.220> three<00:17:02.413> sort<00:17:02.701> of<00:17:02.958> mainstays<00:17:03.839> of<00:17:04.063> a<00:17:04.240> leadership<00:17:04.801> role.

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How<00:17:06.308> can<00:17:06.469> AI<00:17:06.709> help<00:17:07.031> actually<00:17:07.368> in<00:17:07.512> all<00:17:07.689> of<00:17:07.865> them,<00:17:08.797> right?

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Um,<00:17:10.964> strategic<00:17:11.526> thinking,<00:17:12.185> you,<00:17:12.731> you<00:17:12.811> know,<00:17:13.389> whether<00:17:13.614> you<00:17:13.790> like<00:17:14.047> it<00:17:14.192> or<00:17:14.336> not,<00:17:14.657> you<00:17:14.738> have<00:17:14.914> to<00:17:14.995> have<00:17:15.155> a<00:17:15.219> plan<00:17:15.541> for<00:17:15.717> AI.

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You<00:17:16.905> have<00:17:17.082> to<00:17:17.130> have<00:17:17.243> a<00:17:17.403> plan<00:17:17.708> for<00:17:19.009> whether<00:17:19.330> you<00:17:19.490> are<00:17:19.635> going<00:17:19.747> to<00:17:19.876> be<00:17:19.972> a<00:17:20.133> user<00:17:20.775> of<00:17:21.080> AI<00:17:21.803> in<00:17:21.883> your<00:17:21.995> organization<00:17:23.007> or<00:17:23.183> you<00:17:23.344> are<00:17:23.456> going<00:17:23.569> to<00:17:23.745> be<00:17:25.174> a,<00:17:25.512> a<00:17:25.672> producer<00:17:26.539> of<00:17:26.941> AI-powered<00:17:27.824> capabilities<00:17:28.562> like<00:17:28.803> we<00:17:29.108> are.

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This<00:17:31.549> is<00:17:31.613> something<00:17:32.159> we<00:17:32.319> cannot<00:17:32.672> just<00:17:32.977> kind<00:17:33.121> of<00:17:33.618> be<00:17:33.779> on<00:17:33.923> the<00:17:33.955> sidelines.

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I<00:17:34.661> don't<00:17:34.805> think<00:17:34.982> anybody<00:17:35.607> at<00:17:35.687> the<00:17:35.784> leadership<00:17:36.249> level<00:17:36.489> can<00:17:36.666> be,<00:17:37.452> you<00:17:37.484> know,<00:17:37.869> just<00:17:38.270> watching,<00:17:39.296> uh,<00:17:39.697> and,<00:17:40.178> and<00:17:40.836> not<00:17:41.157> reacting<00:17:41.702> to<00:17:41.798> what's<00:17:42.039> going<00:17:42.344> on<00:17:42.504> right<00:17:42.745> now.

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At<00:17:43.627> a<00:17:43.643> minimum,<00:17:44.846> just<00:17:45.872> adopting<00:17:46.674> AI<00:17:47.011> in<00:17:47.156> your<00:17:47.236> organization<00:17:48.214> to<00:17:48.310> increase<00:17:48.695> productivity,<00:17:49.497> right?

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You<00:17:50.396> should<00:17:50.524> have<00:17:50.620> a<00:17:50.684> plan<00:17:50.941> for<00:17:51.085> that<00:17:51.262> at<00:17:51.358> a<00:17:51.502> minimum,<00:17:52.064> right?

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So,<00:17:53.090> uh,<00:17:53.668> so<00:17:53.828> that's<00:17:54.229> basically<00:17:54.710> the<00:17:54.790> strategic<00:17:55.416> part,<00:17:55.977> uh,<00:17:56.458> of,<00:17:56.779> of,<00:17:57.180> of<00:17:57.341> the,<00:17:57.742> of<00:17:57.838> the<00:17:57.918> thinking,<00:17:58.961> but<00:17:59.508> Effective<00:17:59.847> communication,<00:18:01.142> you<00:18:01.223> know,<00:18:02.194> we've<00:18:02.436> had<00:18:02.857> internally<00:18:03.472> at<00:18:03.650> Legion<00:18:04.038> our<00:18:04.216> goals<00:18:04.621> for,<00:18:04.945> for<00:18:05.090> example,<00:18:05.511> content<00:18:05.916> production,<00:18:07.048> right?

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Like<00:18:07.518> blogs<00:18:08.165> and<00:18:08.230> like<00:18:08.584> other<00:18:08.745> things.

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We<00:18:09.776> have<00:18:09.889> increased<00:18:10.420> our,<00:18:11.548> our<00:18:12.031> ambition<00:18:12.595> to<00:18:14.383> produce<00:18:14.770> content<00:18:15.108> by<00:18:15.269> 10x<00:18:16.477> because<00:18:16.961> we<00:18:17.090> have<00:18:17.365> now<00:18:17.592> just<00:18:17.770> the<00:18:17.916> productivity<00:18:18.483> tools<00:18:19.132> have<00:18:20.428> completely<00:18:21.239> gotten<00:18:21.563> rid<00:18:21.725> of<00:18:21.968> things<00:18:22.211> like<00:18:22.390> writer's<00:18:22.795> block<00:18:23.427> and,<00:18:23.767> you<00:18:23.848> know,<00:18:24.092> all<00:18:24.189> the<00:18:24.399> things<00:18:24.643> we<00:18:24.740> would<00:18:25.160> sort<00:18:25.336> of,<00:18:26.378> uh,<00:18:26.875> sit<00:18:27.035> in<00:18:27.179> front<00:18:27.355> of<00:18:27.436> a<00:18:27.516> computer<00:18:28.221> and<00:18:28.381> stare<00:18:28.782> and<00:18:28.878> say,<00:18:29.103> well,<00:18:29.343> what<00:18:29.439> am<00:18:29.535> I<00:18:29.599> gonna<00:18:30.241> write<00:18:30.481> a<00:18:30.561> blog<00:18:30.882> about?

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Well,<00:18:32.084> you<00:18:32.164> don't<00:18:32.549> have<00:18:32.709> that<00:18:32.885> problem<00:18:33.286> anymore.

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And<00:18:34.969> that's<00:18:35.610> just<00:18:35.915> one<00:18:36.091> example.

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Writing<00:18:37.133> code,<00:18:37.678> testing<00:18:38.175> code,<00:18:38.559> generating<00:18:39.056> test<00:18:39.361> cases,<00:18:40.403> uh,<00:18:41.044> you<00:18:41.076> know,<00:18:41.461> all<00:18:41.637> of<00:18:41.781> these<00:18:42.102> things<00:18:42.647> are<00:18:43.368> any<00:18:43.624> type<00:18:43.945> of<00:18:44.105> communication,<00:18:44.907> any<00:18:45.147> type<00:18:45.468> of<00:18:46.333> language,<00:18:46.974> any<00:18:47.215> type<00:18:47.471> of<00:18:47.952> written<00:18:48.577> or,<00:18:49.379> or<00:18:49.779> computer<00:18:50.340> code,<00:18:50.901> or<00:18:51.462> all<00:18:51.639> these<00:18:51.879> things<00:18:52.184> have<00:18:52.440> gone<00:18:52.761> through<00:18:54.268> Already<00:18:54.990> in<00:18:55.712> the<00:18:55.792> last<00:18:56.129> 2<00:18:56.370> years<00:18:56.835> of<00:18:56.995> generative<00:18:57.476> AI,<00:18:58.615> you<00:18:58.696> know,<00:18:59.161> early<00:18:59.498> stages<00:18:59.979> of<00:19:00.059> generative<00:19:00.524> AI,<00:19:00.701> I<00:19:00.861> think<00:19:01.022> they've<00:19:01.326> already<00:19:01.663> gone<00:19:01.824> through<00:19:01.968> quantum<00:19:02.449> leaps.

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Companies<00:19:04.855> and<00:19:05.096> leaders<00:19:05.577> who<00:19:05.738> are<00:19:05.834> going<00:19:06.091> to<00:19:06.219> understand<00:19:06.941> it,<00:19:07.197> make<00:19:07.502> it,<00:19:07.823> take<00:19:08.080> the<00:19:08.240> effort<00:19:08.625> to<00:19:08.721> understand<00:19:09.283> it.

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You<00:19:09.523> don't<00:19:09.716> need<00:19:09.780> to<00:19:09.908> be<00:19:10.005> an<00:19:10.085> expert<00:19:11.272> in<00:19:11.368> how<00:19:11.769> it<00:19:11.994> works,<00:19:12.395> but<00:19:12.555> you<00:19:12.651> need<00:19:12.892> to<00:19:13.293> really<00:19:13.694> have<00:19:13.854> a<00:19:13.935> point<00:19:14.239> of<00:19:14.336> view<00:19:14.576> on<00:19:14.801> what<00:19:14.993> it's<00:19:15.202> gonna<00:19:15.394> do<00:19:16.164> to<00:19:16.245> your<00:19:16.309> organization<00:19:17.287> and<00:19:17.544> your<00:19:17.785> product<00:19:18.346> or<00:19:18.410> your<00:19:18.587> customers<00:19:19.934> and<00:19:20.030> have<00:19:20.207> a<00:19:20.271> plan<00:19:20.752> for<00:19:20.913> it.

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I<00:19:21.153> believe<00:19:21.474> that<00:19:21.699> is<00:19:21.859> a<00:19:22.100> pretty<00:19:22.452> important,<00:19:22.934> it's<00:19:23.078> an<00:19:23.158> imperative<00:19:23.623> for<00:19:23.800> leaders<00:19:24.121> now.

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Yeah.

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What<00:19:25.777> are<00:19:25.859> you<00:19:26.038> reading?

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What<00:19:27.179> reading<00:19:27.489> recommendations<00:19:28.125> would<00:19:28.239> you<00:19:28.321> have<00:19:28.549> for<00:19:28.728> us?

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I<00:19:30.982> read<00:19:31.290> a<00:19:31.453> lot<00:19:31.939> of<00:19:32.670> my<00:19:33.432> sort<00:19:33.660> of<00:19:35.591> content<00:19:35.932> consumption<00:19:36.727> is<00:19:37.392> sporadic<00:19:39.647> and<00:19:40.068> blogs.

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I'm<00:19:41.038> a<00:19:41.264> huge<00:19:41.863> sort<00:19:42.089> of<00:19:43.140> blog<00:19:43.544> reader<00:19:43.868> and<00:19:44.094> podcast,<00:19:45.808> 2x<00:19:46.196> speed<00:19:49.338> is<00:19:49.451> a—<00:19:49.821> I<00:19:49.837> mean,<00:19:49.981> some<00:19:50.158> of<00:19:50.223> these<00:19:50.400> podcasts<00:19:51.027> are<00:19:51.124> like<00:19:51.526> 4<00:19:51.751> hours<00:19:52.250> and<00:19:52.636> I<00:19:52.797> just<00:19:53.939> heard<00:19:54.100> that<00:19:56.626> I<00:19:56.706> didn't<00:19:57.188> go<00:19:57.348> through<00:19:57.493> it,<00:19:57.669> but<00:19:57.814> there<00:19:57.910> was<00:19:58.054> the<00:19:58.215> latest<00:19:58.632> Elon<00:19:59.034> Musk<00:19:59.339> and<00:19:59.499> Lex<00:19:59.756> Fridman<00:20:00.221> was<00:20:00.462> 8.5<00:20:01.185> hours.

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Yeah,<00:20:02.389> can<00:20:02.710> you<00:20:02.790> believe<00:20:03.127> that?

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That<00:20:04.074> is<00:20:04.170> insane.

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But<00:20:05.840> I'm<00:20:05.936> sure<00:20:06.177> there's<00:20:06.321> a<00:20:06.337> lot<00:20:06.514> of<00:20:06.642> good<00:20:06.739> stuff<00:20:07.076> in<00:20:07.140> there.

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So<00:20:07.943> I<00:20:08.087> learn<00:20:08.328> a<00:20:08.408> lot<00:20:08.809> through<00:20:09.146> sort<00:20:09.387> of,<00:20:09.484> you<00:20:09.564> know,<00:20:09.773> podcasts<00:20:10.591> and<00:20:10.816> blogs<00:20:11.314> and<00:20:11.795> things<00:20:12.036> like<00:20:12.277> that.

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On<00:20:13.946> the<00:20:14.123> books,<00:20:14.588> I,<00:20:15.487> you<00:20:15.567> know,<00:20:16.916> I<00:20:17.012> tend<00:20:17.269> to<00:20:17.413> read<00:20:17.799> sort<00:20:17.911> of<00:20:18.120> non-technology<00:20:19.099> books.

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They<00:20:20.142> just,<00:20:20.768> it<00:20:21.250> offers<00:20:21.667> me<00:20:21.812> a<00:20:21.844> good<00:20:22.133> outlet<00:20:22.614> to<00:20:23.336> learning<00:20:23.736> things<00:20:24.137> other<00:20:24.313> than<00:20:24.537> what<00:20:24.778> I'm<00:20:26.396> organically<00:20:27.261> learning<00:20:27.742> through<00:20:28.959> my<00:20:29.199> role<00:20:29.744> and<00:20:31.042> my<00:20:31.683> colleagues<00:20:32.468> and<00:20:33.845> other<00:20:34.086> things.

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So<00:20:35.351> most<00:20:35.528> recently<00:20:36.072> I've<00:20:37.706> been<00:20:37.931> reading<00:20:38.251> about<00:20:38.796> this<00:20:39.949> David<00:20:40.334> Sinclair's,<00:20:42.016> you<00:20:42.080> know,<00:20:42.160> it's<00:20:42.416> a<00:20:42.657> longevity<00:20:43.378> book<00:20:43.922> around<00:20:44.259> lifespans<00:20:44.996> and<00:20:45.140> why<00:20:45.460> we<00:20:45.765> age<00:20:46.101> and<00:20:47.303> the<00:20:47.527> claim<00:20:47.928> of<00:20:48.104> why<00:20:48.328> we<00:20:48.424> don't<00:20:48.584> have<00:20:48.905> to.

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And,<00:20:49.530> you<00:20:49.562> know,<00:20:51.164> so<00:20:52.013> it's<00:20:52.429> a<00:20:52.493> fascinating<00:20:53.150> read<00:20:53.455> about<00:20:55.315> thinking<00:20:55.638> about<00:20:56.026> aging<00:20:56.833> more<00:20:57.010> as<00:20:57.172> a<00:20:57.252> disease<00:20:58.059> than<00:20:58.447> as<00:20:58.689> a<00:20:58.721> natural<00:20:59.415> process<00:20:59.980> that<00:21:00.255> everybody<00:21:00.626> has<00:21:00.803> to<00:21:00.965> go<00:21:01.062> through.

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And<00:21:01.611> just,<00:21:02.644> I'm<00:21:03.128> kind<00:21:04.016> of<00:21:04.355> 25%<00:21:04.774> through<00:21:05.258> it,<00:21:05.872> but<00:21:06.114> it's<00:21:06.775> been<00:21:06.921> great<00:21:07.163> so<00:21:07.340> far.

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Yeah,<00:21:08.874> that's<00:21:09.293> super<00:21:09.616> interesting<00:21:10.310> actually.

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That's<00:21:11.294> cool.

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How<00:21:13.929> do<00:21:13.994> you<00:21:14.027> stay<00:21:14.321> grounded?

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How<00:21:16.134> do<00:21:16.199> you<00:21:16.232> maintain<00:21:16.640> your<00:21:16.722> mental<00:21:17.032> health?

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As<00:21:20.100> I<00:21:20.148> was<00:21:20.245> saying<00:21:20.567> before,<00:21:21.050> I<00:21:21.211> think<00:21:21.437> one<00:21:21.549> of<00:21:21.630> the<00:21:21.710> most<00:21:22.081> important<00:21:22.644> things<00:21:22.983> for<00:21:23.691> anybody<00:21:24.271> to<00:21:24.416> do,<00:21:24.577> no<00:21:24.690> matter<00:21:25.237> what<00:21:25.479> you're<00:21:25.720> doing<00:21:26.348> or<00:21:26.542> no<00:21:26.622> matter<00:21:26.993> what<00:21:27.170> your<00:21:27.347> role<00:21:27.717> is<00:21:27.830> or<00:21:27.911> how<00:21:28.233> important<00:21:28.716> you<00:21:28.861> think<00:21:28.990> your<00:21:29.168> role<00:21:29.346> is,<00:21:31.436> is<00:21:31.534> to<00:21:31.696> find<00:21:32.344> time<00:21:32.814> for<00:21:33.397> your<00:21:33.721> own—<00:21:34.612> to<00:21:34.758> take<00:21:34.920> care<00:21:35.082> of<00:21:35.163> your<00:21:35.244> own<00:21:35.407> health.

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And<00:21:37.683> that<00:21:37.942> is<00:21:38.232> a—<00:21:39.281> it's<00:21:40.589> a<00:21:40.976> matter<00:21:41.784> of,<00:21:42.510> you<00:21:42.542> know,<00:21:42.768> just<00:21:44.383> good<00:21:44.609> habits.

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I<00:21:45.432> think<00:21:45.674> it's<00:21:45.835> just,<00:21:46.142> you<00:21:46.239> know,<00:21:47.982> you<00:21:48.128> don't<00:21:48.453> have<00:21:48.728> to<00:21:48.956> necessarily<00:21:49.686> go<00:21:49.929> and<00:21:50.026> spend<00:21:50.481> hours<00:21:50.886> working<00:21:51.292> out<00:21:52.509> and<00:21:53.174> stuff<00:21:53.417> like<00:21:53.580> that,<00:21:53.823> but<00:21:53.969> just<00:21:54.326> doing<00:21:54.650> something<00:21:55.347> every<00:21:55.524> day,<00:21:56.960> at<00:21:57.057> least<00:21:57.283> my<00:21:58.266> take<00:21:58.573> on<00:21:58.670> that,<00:21:58.976> has<00:21:59.799> a<00:22:00.121> bigger<00:22:00.380> impact<00:22:01.799> than,<00:22:02.299> you<00:22:02.396> know,<00:22:02.686> probably<00:22:03.089> anything<00:22:03.493> else<00:22:03.735> you<00:22:03.831> could<00:22:03.993> do,<00:22:04.702> you<00:22:04.751> know,<00:22:05.090> in<00:22:05.122> terms<00:22:05.446> of<00:22:05.608> taking<00:22:06.255> care<00:22:06.336> of<00:22:06.417> your<00:22:06.660> health.

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So<00:22:07.307> to<00:22:07.404> me,<00:22:07.550> the<00:22:07.647> most<00:22:07.890> important<00:22:08.586> thing<00:22:09.315> from<00:22:09.898> a<00:22:09.978> mental<00:22:10.286> health<00:22:10.529> standpoint<00:22:12.957> is<00:22:13.524> just<00:22:14.022> health.

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I<00:22:14.503> mean,<00:22:14.744> it's—<00:22:15.049> you,<00:22:15.306> you,<00:22:16.092> um,<00:22:17.135> uh,<00:22:17.617> I'm,<00:22:17.938> I'm—<00:22:18.580> I<00:22:18.596> like<00:22:18.756> working<00:22:19.142> out<00:22:19.703> every<00:22:19.960> day,<00:22:20.586> uh,<00:22:21.003> even<00:22:21.164> if<00:22:21.324> it's<00:22:21.549> like<00:22:21.726> 10<00:22:21.966> minutes,<00:22:22.448> but<00:22:22.753> I<00:22:22.849> would—<00:22:23.957> I<00:22:24.053> will<00:22:24.213> work<00:22:24.454> out<00:22:24.631> every<00:22:24.791> single<00:22:25.096> day.

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I<00:22:25.979> do<00:22:26.059> intermittent<00:22:26.605> fasting.

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Um,<00:22:28.370> I,<00:22:28.771> I<00:22:28.868> like<00:22:29.108> that<00:22:29.349> for<00:22:29.590> a,<00:22:29.831> for<00:22:30.055> a,<00:22:30.312> for<00:22:30.408> a<00:22:30.457> lot<00:22:30.569> of<00:22:30.697> reasons.

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Those,<00:22:32.238> those<00:22:32.543> are—<00:22:32.864> if,<00:22:33.442> you<00:22:33.522> know,<00:22:33.763> those<00:22:34.004> are<00:22:34.244> things<00:22:34.629> that,<00:22:35.271> uh,<00:22:35.689> to<00:22:35.913> me<00:22:36.315> are<00:22:36.555> part<00:22:36.812> of<00:22:36.957> my<00:22:37.197> day,<00:22:37.374> just<00:22:37.599> like<00:22:37.775> having<00:22:38.096> a<00:22:38.176> meal<00:22:38.433> is.

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Like,<00:22:38.995> it's<00:22:39.284> not<00:22:39.525> a<00:22:39.926> negotiation.

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It<00:22:40.969> is<00:22:41.210> not<00:22:41.451> a—<00:22:42.253> it's<00:22:42.670> just<00:22:42.911> something<00:22:43.377> that<00:22:43.537> I<00:22:43.617> will<00:22:43.714> do<00:22:43.970> every<00:22:44.131> single<00:22:44.436> day.

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Um,<00:22:46.683> that<00:22:46.924> is,<00:22:47.566> that<00:22:47.790> is<00:22:48.031> core<00:22:48.609> to<00:22:48.914> mental<00:22:49.251> health.

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And<00:22:49.716> then<00:22:50.037> other<00:22:50.198> than<00:22:50.439> that,<00:22:50.760> you<00:22:50.840> know,<00:22:51.016> just<00:22:51.257> focus<00:22:51.963> on<00:22:52.525> the<00:22:52.942> things<00:22:53.344> that<00:22:53.504> you<00:22:53.649> can<00:22:53.745> control.

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Um,<00:22:56.634> acknowledge<00:22:57.340> the<00:22:57.436> things<00:22:57.757> that<00:22:57.918> you<00:22:58.062> cannot<00:22:58.399> control,<00:22:58.817> so<00:22:59.106> you,<00:22:59.523> you,<00:22:59.988> you<00:23:00.085> know<00:23:00.390> they're<00:23:00.630> out<00:23:00.807> there,<00:23:01.353> you<00:23:01.449> know,<00:23:01.754> you,<00:23:02.075> you<00:23:02.235> can<00:23:02.396> see<00:23:02.717> them,<00:23:02.974> but<00:23:03.134> they're<00:23:03.375> not<00:23:03.616> within<00:23:03.840> your<00:23:03.937> control.

00:23:04.643 --> 00:23:10.203
And<00:23:04.755> so<00:23:04.980> there's<00:23:05.221> not<00:23:06.008> There<00:23:06.747> isn't<00:23:07.165> a,<00:23:07.936> you<00:23:08.177> know,<00:23:08.756> don't<00:23:08.917> waste<00:23:09.142> time<00:23:09.319> stressing<00:23:09.785> over<00:23:10.042> it.

00:23:10.829 --> 00:23:26.195
And<00:23:11.890> I<00:23:12.035> think<00:23:12.838> just<00:23:12.999> being<00:23:13.256> kind<00:23:13.658> to<00:23:14.221> people<00:23:14.462> around<00:23:14.687> you,<00:23:16.391> you<00:23:16.471> know,<00:23:17.597> is,<00:23:18.626> I<00:23:18.706> think<00:23:18.883> it<00:23:19.028> goes<00:23:19.607> both<00:23:19.832> ways<00:23:20.635> and<00:23:21.954> it<00:23:22.082> comes<00:23:22.404> back<00:23:23.066> and<00:23:23.536> helps<00:23:23.861> you<00:23:24.363> when<00:23:24.606> you<00:23:24.704> need<00:23:24.931> that<00:23:25.093> kindness<00:23:25.563> back<00:23:25.741> from<00:23:25.903> others.

00:23:27.602 --> 00:23:31.899
So<00:23:28.413> these<00:23:28.510> are<00:23:28.591> simple<00:23:29.142> things<00:23:31.072> to<00:23:31.250> do<00:23:31.477> in<00:23:31.574> a<00:23:31.655> day.

00:23:32.687 --> 00:23:41.935
The<00:23:32.784> hard<00:23:33.186> part<00:23:33.411> about<00:23:34.455> all<00:23:34.552> these<00:23:34.713> things<00:23:34.938> I<00:23:34.970> mentioned<00:23:36.304> is<00:23:36.545> to<00:23:36.882> turn<00:23:37.123> it<00:23:37.220> into<00:23:37.445> a<00:23:37.525> habit<00:23:38.731> that<00:23:39.277> you<00:23:40.177> do<00:23:40.483> consistently<00:23:41.223> day<00:23:41.385> after<00:23:41.660> day.

00:23:42.421 --> 00:23:49.026
And<00:23:43.165> I<00:23:43.246> think<00:23:43.408> that<00:23:43.635> is<00:23:43.813> where<00:23:44.299> some<00:23:44.703> work<00:23:45.043> is<00:23:45.270> needed,<00:23:45.610> some<00:23:46.144> sort<00:23:46.258> of<00:23:46.549> efforts<00:23:47.051> are<00:23:47.196> needed,<00:23:47.617> but<00:23:47.714> it's<00:23:48.103> totally<00:23:48.589> worth<00:23:48.848> it.

00:23:50.513 --> 00:23:55.202
And<00:23:51.162> I<00:23:51.259> truly<00:23:51.519> speak<00:23:51.827> from<00:23:52.541> my<00:23:52.622> own<00:23:52.817> experiences<00:23:53.449> of<00:23:53.596> past<00:23:54.001> 8<00:23:54.163> years<00:23:54.504> building<00:23:54.829> Legion.

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There<00:23:56.354> are<00:23:56.938> more<00:23:57.571> bad<00:23:57.831> days<00:23:58.074> than<00:23:58.236> good<00:23:58.398> days.

00:23:59.216 --> 00:24:09.869
As<00:23:59.312> any<00:23:59.536> entrepreneur<00:24:00.033> will<00:24:00.193> tell<00:24:00.337> you,<00:24:01.218> and<00:24:02.420> you<00:24:02.452> need<00:24:02.692> something<00:24:03.141> that<00:24:03.317> is<00:24:03.942> grounding<00:24:04.423> for<00:24:04.679> you,<00:24:05.159> which<00:24:05.384> is<00:24:05.560> not<00:24:06.121> actually<00:24:06.521> tied<00:24:06.761> to<00:24:06.842> just<00:24:07.242> your<00:24:07.402> company's<00:24:08.139> accomplishments.

00:24:09.966 --> 00:24:12.609
And<00:24:10.847> these<00:24:11.151> are<00:24:11.728> sort<00:24:11.904> of<00:24:11.968> the<00:24:12.112> things<00:24:12.353> for<00:24:12.449> me.

00:24:13.410 --> 00:24:21.004
We're<00:24:13.490> talking<00:24:13.875> on<00:24:13.955> a<00:24:14.035> day<00:24:14.211> where<00:24:14.371> the<00:24:14.451> stock<00:24:14.772> market<00:24:15.637> is<00:24:16.053> having<00:24:16.294> a<00:24:16.374> really<00:24:16.598> rough<00:24:16.854> day,<00:24:17.399> and<00:24:17.655> it<00:24:17.912> appears<00:24:18.376> like<00:24:18.617> that<00:24:18.793> might<00:24:19.001> continue<00:24:20.459> for<00:24:20.603> a<00:24:20.683> little<00:24:20.859> bit.

00:24:21.084 --> 00:24:23.759
How<00:24:21.180> do<00:24:21.244> you<00:24:21.420> think<00:24:21.596> about<00:24:21.821> the<00:24:21.901> macroeconomic<00:24:22.958> environment?

00:24:24.368 --> 00:24:27.620
And<00:24:24.448> also,<00:24:24.848> like,<00:24:25.121> you<00:24:25.185> know,<00:24:25.345> obviously<00:24:25.730> we're<00:24:25.826> in<00:24:25.890> the<00:24:25.954> middle<00:24:26.210> of<00:24:26.242> an<00:24:26.306> election<00:24:26.707> in<00:24:26.851> the<00:24:26.931> United<00:24:27.267> States.

00:24:27.668 --> 00:24:30.023
There's<00:24:27.812> elections<00:24:28.229> in<00:24:28.389> 20,<00:24:28.789> 25<00:24:29.190> countries<00:24:29.671> this<00:24:29.895> year.

00:24:31.255 --> 00:24:39.022
As<00:24:31.336> you<00:24:31.482> think<00:24:31.643> about<00:24:31.885> just<00:24:32.047> kind<00:24:32.160> of<00:24:32.224> macroeconomic<00:24:33.112> and<00:24:33.193> then<00:24:33.435> just<00:24:33.677> macro<00:24:34.404> in<00:24:34.566> general,<00:24:35.276> what<00:24:35.437> are<00:24:35.534> we<00:24:35.696> looking<00:24:35.954> at<00:24:36.326> here<00:24:36.971> over<00:24:37.149> the<00:24:37.230> next<00:24:37.553> 6<00:24:38.263> months<00:24:38.586> to<00:24:38.699> a<00:24:38.828> year?

00:24:40.280 --> 00:24:42.680
Firstly,<00:24:40.474> I<00:24:40.555> would<00:24:40.815> start<00:24:41.366> by<00:24:41.463> saying<00:24:41.836> I<00:24:41.852> wish<00:24:42.485> I<00:24:42.517> knew.

00:24:46.244 --> 00:24:56.218
The<00:24:46.553> past<00:24:47.593> 18<00:24:47.918> months<00:24:48.731> have<00:24:48.910> been<00:24:49.154> pretty<00:24:49.381> turbulent<00:24:50.210> in<00:24:50.519> many,<00:24:50.779> many<00:24:51.023> ways,<00:24:52.053> especially<00:24:52.472> when<00:24:52.618> you<00:24:52.779> think<00:24:52.941> about<00:24:53.183> a<00:24:53.199> macro,<00:24:53.732> whether<00:24:53.909> it's<00:24:54.135> financial,<00:24:54.862> political,<00:24:55.605> economics.

00:24:58.618 --> 00:25:01.501
Political,<00:24:59.440> economical,<00:25:00.245> even<00:25:00.921> social.

00:25:01.678 --> 00:25:09.070
And<00:25:01.920> I<00:25:02.081> think<00:25:02.660> that<00:25:03.450> what<00:25:03.772> we<00:25:04.013> are<00:25:04.110> seeing<00:25:04.577> today<00:25:05.012> is<00:25:05.318> that<00:25:05.785> we<00:25:05.946> are<00:25:06.107> far<00:25:06.525> from<00:25:06.848> the<00:25:07.009> turbulence<00:25:07.556> being<00:25:07.814> over,<00:25:08.844> right?

00:25:09.585 --> 00:25:14.689
Which<00:25:09.826> way<00:25:10.776> it<00:25:10.937> would<00:25:11.114> go<00:25:11.597> and<00:25:11.758> what<00:25:11.984> exactly<00:25:13.111> would<00:25:13.272> happen<00:25:13.787> is<00:25:13.932> anybody's<00:25:14.496> guess.

00:25:15.784 --> 00:25:18.738
But<00:25:16.186> going<00:25:16.428> back<00:25:16.653> to<00:25:16.734> the<00:25:16.830> point<00:25:17.040> I<00:25:17.137> was<00:25:17.185> saying<00:25:17.541> earlier,<00:25:17.800> control<00:25:18.188> what<00:25:18.349> you<00:25:18.446> can.

00:25:19.239 --> 00:25:31.911
And<00:25:20.048> for<00:25:20.290> us<00:25:21.099> at<00:25:21.438> Legion,<00:25:22.085> for<00:25:22.247> me<00:25:22.716> personally<00:25:23.282> as<00:25:23.379> a<00:25:23.460> leader<00:25:23.783> of<00:25:24.010> Legion,<00:25:24.590> controlling<00:25:25.023> what<00:25:25.184> I<00:25:25.264> can<00:25:25.585> is<00:25:25.746> making<00:25:26.051> sure<00:25:27.030> we<00:25:27.191> are<00:25:27.351> staying<00:25:27.656> focused<00:25:28.234> on<00:25:28.315> the<00:25:28.475> things<00:25:28.957> that<00:25:30.145> we<00:25:30.257> need<00:25:30.482> to<00:25:30.659> do<00:25:30.884> that<00:25:31.108> are<00:25:31.141> in<00:25:31.349> front<00:25:31.542> of<00:25:31.751> us.

00:25:32.232 --> 00:25:34.448
So<00:25:32.554> we<00:25:32.714> have<00:25:32.875> to<00:25:33.533> build<00:25:33.758> great<00:25:34.015> products.

00:25:34.577 --> 00:25:40.839
We<00:25:34.657> have<00:25:34.834> to<00:25:35.604> continue<00:25:36.006> helping<00:25:36.487> our<00:25:36.664> customers<00:25:37.852> who<00:25:38.013> are<00:25:38.109> also<00:25:38.430> going<00:25:38.735> through<00:25:38.832> that<00:25:38.976> same<00:25:39.313> turbulence,<00:25:40.518> right?

00:25:41.545 --> 00:25:46.716
And<00:25:41.642> if<00:25:41.786> we<00:25:41.866> can<00:25:42.107> help<00:25:42.380> them<00:25:43.328> be<00:25:43.633> less<00:25:43.890> worried<00:25:44.195> about<00:25:44.435> how<00:25:44.676> labor<00:25:45.014> will<00:25:45.174> be<00:25:45.254> managed,<00:25:46.443> right?

00:25:47.647 --> 00:26:05.152
Or<00:25:47.888> if<00:25:48.064> we<00:25:48.209> can<00:25:48.450> help<00:25:48.851> our<00:25:50.790> users,<00:25:51.794> largely<00:25:52.239> the<00:25:52.453> frontline<00:25:52.964> workforce,<00:25:54.952> get<00:25:56.100> a<00:25:56.310> little<00:25:56.569> more<00:25:56.827> satisfaction<00:25:57.700> from<00:25:57.862> the<00:25:57.959> schedules<00:25:58.816> and<00:25:58.994> their—<00:25:59.463> and<00:25:59.641> the<00:25:59.786> experience<00:26:01.322> of<00:26:01.565> working<00:26:02.292> and<00:26:02.858> getting<00:26:03.197> paid<00:26:03.602> instantly<00:26:04.232> after<00:26:04.475> the<00:26:04.540> shift<00:26:04.797> is<00:26:04.958> over.

00:26:05.216 --> 00:26:09.309
So<00:26:05.442> there<00:26:05.603> is<00:26:05.700> some<00:26:06.570> financial<00:26:07.617> wellness<00:26:08.036> and<00:26:08.197> relief<00:26:08.600> on<00:26:08.761> that<00:26:09.068> part.

00:26:09.712 --> 00:26:19.230
Then<00:26:09.970> we<00:26:10.115> are<00:26:10.212> doing<00:26:10.679> our,<00:26:11.485> you<00:26:11.565> know,<00:26:12.145> our<00:26:12.468> part<00:26:12.854> in<00:26:13.098> helping,<00:26:14.996> you<00:26:15.094> know,<00:26:16.482> both<00:26:16.787> our<00:26:16.964> customers<00:26:17.687> and<00:26:17.848> also<00:26:18.153> advancing<00:26:18.732> the<00:26:18.796> company.

00:26:19.310 --> 00:26:21.319
So<00:26:19.519> it's<00:26:19.760> sort<00:26:19.921> of,<00:26:20.017> that's<00:26:20.419> how<00:26:20.660> I<00:26:20.821> think<00:26:20.997> about<00:26:21.238> it.

00:26:21.367 --> 00:26:29.968
So<00:26:22.106> focusing<00:26:22.652> on<00:26:22.749> that<00:26:24.018> is<00:26:24.661> also<00:26:25.143> an<00:26:25.224> antidote<00:26:25.722> from<00:26:26.687> stressing<00:26:27.153> out<00:26:27.314> about<00:26:27.958> other<00:26:28.134> things<00:26:28.923> that<00:26:29.341> we<00:26:29.421> can't<00:26:29.663> help.

00:26:30.483 --> 00:26:37.099
I'll<00:26:31.094> also<00:26:31.738> say<00:26:31.995> this,<00:26:34.309> I<00:26:34.391> firmly<00:26:34.798> believe<00:26:35.141> Legion<00:26:35.467> is<00:26:35.614> working<00:26:35.875> on<00:26:35.973> a<00:26:36.038> very<00:26:36.283> durable<00:26:36.756> problem.

00:26:38.426 --> 00:26:39.926
It<00:26:38.506> is,<00:26:38.926> I<00:26:38.942> mean,<00:26:39.152> we<00:26:39.184> are<00:26:39.232> talking<00:26:39.426> about<00:26:39.571> labor.

00:26:40.745 --> 00:26:42.314
We<00:26:40.765> are<00:26:41.023> talking<00:26:41.346> about<00:26:41.733> hourly<00:26:42.137> work.

00:26:42.395 --> 00:26:45.428
We<00:26:42.443> are<00:26:42.475> talking<00:26:42.766> about<00:26:43.040> these<00:26:43.589> labor-intensive<00:26:44.250> industries,<00:26:44.815> which<00:26:44.976> are<00:26:45.122> massive.

00:26:46.027 --> 00:26:46.926
And<00:26:46.123> they're<00:26:46.219> not<00:26:46.444> going<00:26:46.766> away.

00:26:47.007 --> 00:26:52.888
And<00:26:47.151> they<00:26:47.216> have<00:26:47.328> seen<00:26:47.794> a<00:26:47.890> lot<00:26:48.115> of<00:26:48.212> financial<00:26:49.883> collapses<00:26:50.767> and<00:26:51.409> other<00:26:51.666> crises<00:26:52.149> and<00:26:52.229> things<00:26:52.550> like<00:26:52.775> that.

00:26:52.952 --> 00:26:54.157
And<00:26:53.113> they're<00:26:53.193> still<00:26:53.434> around.

00:26:54.462 --> 00:26:56.615
And<00:26:54.719> we<00:26:54.864> all<00:26:55.507> use<00:26:55.748> and<00:26:55.844> love<00:26:56.005> those<00:26:56.166> industries.

00:26:57.210 --> 00:27:04.457
So<00:26:58.881> the<00:27:00.584> long-term<00:27:01.950> macro,<00:27:02.770> I'm<00:27:03.316> very<00:27:03.557> bullish<00:27:03.878> about.

00:27:05.244 --> 00:27:13.858
But<00:27:05.469> I<00:27:05.581> do<00:27:05.790> think<00:27:05.967> that<00:27:06.272> the<00:27:06.995> phase<00:27:07.269> of<00:27:07.413> turbulence,<00:27:08.281> we<00:27:08.442> are<00:27:09.277> nowhere<00:27:09.582> close<00:27:09.904> to<00:27:10.064> that<00:27:10.370> being<00:27:11.189> kind<00:27:11.350> of<00:27:11.834> We<00:27:11.915> don't<00:27:12.177> see<00:27:12.732> the<00:27:12.960> end<00:27:13.140> line<00:27:13.384> on<00:27:13.531> that<00:27:13.711> yet.

00:27:15.500 --> 00:27:15.596
Yeah.

00:27:15.917 --> 00:27:17.090
Yeah,<00:27:16.014> I<00:27:16.190> think<00:27:16.399> you're<00:27:16.496> right<00:27:16.672> about<00:27:16.962> that.

00:27:17.219 --> 00:27:18.616
We<00:27:17.267> might<00:27:17.460> just<00:27:17.620> be<00:27:17.781> at<00:27:17.861> the<00:27:17.942> beginning<00:27:18.359> of<00:27:18.504> it.

00:27:19.291 --> 00:27:27.116
Finally,<00:27:19.709> we<00:27:19.950> end<00:27:20.111> every<00:27:20.352> interview<00:27:20.737> with<00:27:20.834> the<00:27:20.914> exact<00:27:21.251> same<00:27:21.541> question,<00:27:22.119> and<00:27:22.199> that<00:27:22.424> is<00:27:22.585> at<00:27:22.665> CEO.com,<00:27:23.549> we<00:27:23.645> believe<00:27:23.902> the<00:27:24.031> chances<00:27:24.449> one<00:27:24.754> gives<00:27:25.172> is<00:27:25.254> just<00:27:25.499> as<00:27:25.580> important<00:27:25.891> as<00:27:25.989> the<00:27:26.070> chances<00:27:26.463> one<00:27:26.642> takes.

00:27:27.704 --> 00:27:30.448
When<00:27:27.851> you<00:27:28.014> hear<00:27:28.194> that,<00:27:28.422> who<00:27:28.586> gave<00:27:28.831> you<00:27:28.945> a<00:27:29.010> chance<00:27:29.353> to<00:27:29.484> get<00:27:29.647> you<00:27:29.746> to<00:27:29.811> where<00:27:29.974> you<00:27:30.154> are<00:27:30.317> today?

00:27:32.664 --> 00:27:37.880
I<00:27:32.761> think<00:27:33.069> there<00:27:33.134> have<00:27:33.247> been<00:27:33.490> many<00:27:33.798> people<00:27:34.705> who,<00:27:35.985> you<00:27:36.017> know,<00:27:36.309> gave<00:27:37.297> me<00:27:37.443> a<00:27:37.540> chance.

00:27:37.929 --> 00:27:38.885
I've<00:27:38.010> always<00:27:38.318> had<00:27:38.431> mentors.

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I've<00:27:39.387> always<00:27:39.727> had<00:27:41.107> people<00:27:42.004> that<00:27:42.149> I<00:27:42.325> go<00:27:42.566> to<00:27:42.902> for<00:27:43.191> advice,<00:27:43.752> and<00:27:44.185> sometimes<00:27:44.650> they<00:27:44.746> may<00:27:44.890> not<00:27:45.195> know<00:27:45.371> it,<00:27:45.548> but<00:27:45.708> they<00:27:45.820> have<00:27:46.077> actually<00:27:46.398> unlocked<00:27:46.959> a,<00:27:47.760> you<00:27:47.792> know,<00:27:48.017> a<00:27:48.097> decision<00:27:48.883> or<00:27:49.123> a,<00:27:49.684> or<00:27:50.165> opened<00:27:50.518> a<00:27:50.582> door<00:27:50.967> for<00:27:51.208> me.

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And,<00:27:52.009> and<00:27:52.089> so<00:27:52.250> I'm<00:27:52.506> always<00:27:52.811> grateful<00:27:53.148> for<00:27:53.228> that.

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In<00:27:54.831> Legion's<00:27:55.456> case<00:27:55.873> specifically,<00:27:57.140> you<00:27:57.172> know,<00:27:57.557> in<00:27:57.813> my<00:27:58.102> very<00:27:58.423> early<00:27:58.663> days<00:27:59.641> when<00:27:59.866> I<00:27:59.962> was,<00:28:01.148> uh,<00:28:02.271> really<00:28:02.591> on<00:28:02.687> the<00:28:02.832> fence<00:28:03.313> with<00:28:03.553> how<00:28:03.794> to<00:28:03.954> go<00:28:04.195> about<00:28:05.253> building<00:28:05.878> it<00:28:06.054> and<00:28:06.375> where<00:28:06.535> do<00:28:06.760> I<00:28:06.856> start—<00:28:07.321> do<00:28:07.417> I<00:28:07.433> start<00:28:07.802> with<00:28:07.898> building<00:28:08.139> the<00:28:08.219> software,<00:28:08.700> do<00:28:08.844> I<00:28:08.860> start<00:28:09.181> with<00:28:10.325> Do<00:28:10.939> I<00:28:11.262> start<00:28:11.762> with,<00:28:13.280> you<00:28:13.377> know,<00:28:13.926> talking<00:28:14.184> to<00:28:14.265> investors<00:28:14.991> and<00:28:15.298> raising—<00:28:15.702> like,<00:28:16.041> when<00:28:16.767> I<00:28:16.848> was<00:28:17.171> going<00:28:17.348> through<00:28:17.558> that<00:28:17.962> very,<00:28:18.220> very<00:28:18.462> early<00:28:18.719> phase<00:28:19.748> of<00:28:19.909> Legion,<00:28:20.536> I<00:28:20.713> happened<00:28:21.099> to<00:28:21.179> meet<00:28:22.481> Jacob,<00:28:22.964> who<00:28:23.510> was<00:28:24.411> Jacob<00:28:24.732> Chaber,<00:28:25.134> who<00:28:25.215> was<00:28:25.456> the<00:28:27.812> founder<00:28:28.184> and<00:28:28.281> CEO<00:28:28.508> of<00:28:28.540> Philz<00:28:28.848> Coffee.

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And<00:28:31.034> Philz—<00:28:31.747> and<00:28:31.909> this<00:28:32.152> was—<00:28:32.395> and<00:28:32.557> I'd<00:28:32.719> just<00:28:32.897> gone<00:28:33.140> to<00:28:33.366> pitch<00:28:33.544> the<00:28:33.706> idea<00:28:34.030> of<00:28:34.192> Legion<00:28:34.516> to<00:28:34.678> him.

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And<00:28:37.419> we<00:28:37.531> sat<00:28:38.717> down<00:28:39.823> at<00:28:39.999> their<00:28:40.224> headquarters<00:28:40.865> back<00:28:41.121> then.

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It<00:28:41.505> was<00:28:41.762> near<00:28:42.868> Dogpatch<00:28:43.428> in<00:28:43.525> San<00:28:43.669> Francisco.

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And<00:28:45.912> he<00:28:46.169> really<00:28:46.569> loved<00:28:46.794> the<00:28:46.890> idea<00:28:48.076> and<00:28:48.348> he<00:28:49.277> kind<00:28:49.838> of<00:28:50.495> challenged<00:28:50.960> me<00:28:51.056> on<00:28:51.152> a<00:28:51.216> couple<00:28:51.473> of<00:28:51.697> points.

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We<00:28:52.034> had<00:28:52.162> a<00:28:52.178> great<00:28:52.434> discussion<00:28:54.005> and<00:28:54.325> he<00:28:54.421> said,<00:28:54.726> "Hey,<00:28:56.280> if<00:28:56.489> you<00:28:56.745> build<00:28:57.129> it,<00:28:57.530> I<00:28:57.690> will<00:28:57.947> use<00:28:58.251> it."<00:28:59.613> And<00:29:00.334> that<00:29:00.511> was<00:29:01.377> sort<00:29:01.570> of<00:29:02.501> a<00:29:02.678> great—<00:29:03.385> I<00:29:03.401> wasn't<00:29:03.626> expecting<00:29:04.204> that.

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And<00:29:05.152> then<00:29:05.328> furthermore,<00:29:05.858> he<00:29:05.955> said,<00:29:06.678> I'll<00:29:06.790> also<00:29:07.015> help<00:29:07.320> you<00:29:07.561> build<00:29:07.818> it.

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You<00:29:08.300> can—<00:29:09.007> I'll<00:29:09.103> give<00:29:09.328> you,<00:29:10.051> uh,<00:29:10.452> office<00:29:10.709> space,<00:29:11.577> uh,<00:29:12.540> uh,<00:29:12.958> you<00:29:13.038> know,<00:29:13.520> upstairs,<00:29:14.082> which<00:29:14.243> was<00:29:14.404> the<00:29:14.629> office,<00:29:15.191> and<00:29:15.432> I<00:29:15.528> will<00:29:15.689> give<00:29:15.849> you<00:29:16.154> access<00:29:16.572> to<00:29:17.600> my<00:29:17.937> locations,<00:29:18.725> and<00:29:18.805> you<00:29:18.901> can<00:29:19.142> work<00:29:19.383> with<00:29:19.544> the<00:29:19.688> store<00:29:19.929> managers<00:29:20.668> and<00:29:20.893> work<00:29:21.150> with<00:29:21.873> the<00:29:22.756> baristas<00:29:23.640> and<00:29:23.945> do<00:29:24.122> your<00:29:24.363> research.

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And,<00:29:26.194> and<00:29:27.178> do<00:29:27.421> what<00:29:27.664> you<00:29:28.231> need<00:29:28.474> to<00:29:28.571> do<00:29:28.879> to<00:29:29.122> get<00:29:29.348> off<00:29:29.510> the<00:29:29.591> ground.

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And<00:29:30.660> that<00:29:30.887> was<00:29:32.685> extremely<00:29:33.155> impactful.

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And<00:29:33.981> furthermore,<00:29:34.694> after<00:29:34.840> that,<00:29:36.329> they<00:29:36.491> became<00:29:36.734> our<00:29:36.879> first<00:29:37.138> customer.

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They<00:29:37.802> rolled<00:29:38.093> out<00:29:39.081> nationwide.

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I<00:29:40.279> got<00:29:40.441> a<00:29:40.603> lot<00:29:40.781> of<00:29:40.862> feedback<00:29:41.347> from<00:29:41.655> Philz.

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So<00:29:43.112> I<00:29:43.209> think<00:29:44.001> specifically<00:29:44.646> for<00:29:45.066> Legion's<00:29:45.695> journey,<00:29:46.179> I<00:29:46.196> think<00:29:46.438> that<00:29:46.599> was<00:29:46.825> pretty<00:29:47.406> instrumental.

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And<00:29:48.826> I'm<00:29:49.020> very<00:29:49.181> grateful<00:29:49.569> for<00:29:49.649> that.

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Sunish,<00:29:50.869> so<00:29:51.079> great<00:29:51.257> to<00:29:51.338> talk<00:29:51.645> to<00:29:51.677> you.

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Seriously,<00:29:52.307> congratulations<00:29:53.116> on<00:29:53.261> everything<00:29:53.520> you're<00:29:53.681> doing.

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You're<00:29:55.055> building<00:29:55.362> an<00:29:55.443> incredible<00:29:55.864> product,<00:29:56.090> an<00:29:56.122> incredible<00:29:56.413> company.

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Would<00:29:58.507> love<00:29:58.667> to<00:29:58.716> have<00:29:58.828> you<00:29:58.909> back<00:29:59.214> on<00:29:59.310> again<00:29:59.439> to<00:29:59.616> talk<00:29:59.809> about<00:30:00.130> it<00:30:00.419> as<00:30:00.500> you<00:30:00.580> progress<00:30:00.982> here.

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Seriously,<00:30:02.043> thank<00:30:02.268> you<00:30:02.300> so<00:30:02.461> much.

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It's<00:30:02.766> been<00:30:02.911> a<00:30:02.927> real<00:30:03.087> pleasure.

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Thank<00:30:04.357> you.

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Would<00:30:04.614> love<00:30:04.759> to<00:30:04.839> be<00:30:04.936> back.