Georgy Khalin
153 posts

Georgy Khalin
@Khalin_George
Quant dev lead in algo trading obsessed with deep research & understanding


"If you are not working 7 days per week, you are going to lose". Corgi Insurance is the most intense workplace culture in startups. - The company works 7 days per week. - Founder (@nico_laqua) lives and sleeps in the office. - He built a cafe in the office because there was no local cafe that was open 24/7. - 2/3 of the first 30 team members have the Corgi logo as a tattoo. Today I went behind the scenes with Nico, who has used this culture to scale the company to a $2.6BN valuation in just two years. My condensed notes below: 1. If You Are Not Working 7 Days Per Week, You Are Going to Lose: Whatever you can get done in 5 days, you'll get more done in 6 and 7. If you are trying to solve the world’s hardest problems, a standard 5-day workweek will not cut it. 2. Work Trials Repel the Mediocre: Corgi forces candidates into mock work trials over the weekend. If seeing a full office on a Saturday scares them, they don't belong. True intensity acts as a natural filter to attract killers and repel clock-watchers. 3. Lead from the Front Lines You can’t demand 7-day weeks while sitting on a yacht. Nico sleeps 3–4 hours a night on a mattress inside the office. If you want your troops to bleed, you have to be in the trenches with them. 4. Culture Only Means One Thing: Winning Forget superficial jargon like "hackers" or "ex-founders." Strip away the corporate fluff. A great startup culture is aggressively optimized around one single word: Winning. 5. Lifespan vs. Victories Building something world-historic requires radical sacrifice. When asked if he'd rather build a trillion-dollar company and die at 50, or fail and live to 80, the answer was easy. "I would rather measure my lifespan in victories." 6. Reject the Comfort of "Quiet Quitting." If you are operating in a hyper-growth environment and your days off happen to be Saturday and Sunday every single week, you are quiet quitting. To win, you must deliberately bypass the off-ramps of personal comfort and low volatility. Corgi isn't for everyone—and that’s exactly the point.












I’ve thought about applying the Gauntlet AI model to ChemE. 12-18 weeks of like 100 hour per week assault on the brain where a huge part of the work is a unit ops lab. (Gauntlet teaches AI driven software development and only makes money from recruiting fees the hiring people pay. It’s a headhunter firm with a school, essentially.)



Thought experiment: if every company suddenly had infinite free compute, what new products would emerge? My take: with very few exceptions, not much would change. The bottleneck is figuring out what people want, and it’s not so easy to apply compute to solve that.



5 days. 5 announcements. 5 days of Trajectory starts today. Yesterday we launched Trajectory (@trajectorylabs). We are building the platform for Continual Learning. Our platform unlocks the signal already sitting in product usage, so companies can continuously post-train large agentic models that outperform the frontier. Today we are introducing the Pioneers of Continual Learning: some of the first companies building products that keep improving long after they ship. This is how products will be built in the future, and we are building it together. Here, we’d love to highlight a few of these companies: — @harvey is pushing the frontier of legal AI, in a domain that has little tolerance for mistakes. They’ve turned this standard into LAB, an open, expert-graded benchmark. Now, with Trajectory, they are building on that signal toward models that continually improve. @ClayRunHQ has built go-to-market to be AI-native from first principles, and now with Trajectory, they're A/B testing models live that are already cheaper, faster, and most importantly, continually learning. @DecagonAI runs most of their agents on models they trained themselves. Together with Trajectory, they are now exploring how to train models with special capabilties (steerability, interpretability) that owning your own intelligence unlocks, all with the goal of continually improving in production. @mercor_ai is the expert layer beneath frontier AI, turning the judgment of professionals across law, banking, and consulting into benchmarks that grade agents against real work. They are now working with Trajectory on how continual learning can unify model training and the data generation process. — We believe AI should compound, not stagnate. That's the future we're building with the Pioneers of Continual Learning. Read the full story in the blog post below.






What are your top 3 dream companies to work for right now?


Reading From Third World to First. Great lessons on decision-making under slow feedback loops. Especially liked the chapter on the importance of talent — and how much long-term outcomes depend on who is born and raised in a society. True for businesses as well




