Max Martin retweeted
adding Cognition’s growth to a chart that circulated last year (h/t @Yuchenj_UW), you can see that execution speed defines the company this should not surprise those who saw Scott’s childhood mathcounts video, but hard to fully appreciate until seen in the context of the greats
Cognition has crossed $1B in annualized revenue run rate. This milestone belongs to our customers. Here's how a few of them are building with Devin.
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LFG
Cognition has crossed $1B in annualized revenue run rate. This milestone belongs to our customers. Here's how a few of them are building with Devin.
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Teams vs Slack graph
Devin loves building apps on its own PC. Now, it works even better on yours. Introducing two updates to Devin for Microsoft users: native support for Teams, and a first-party Microsoft 365 integration to connect to your mail, calendar files, chats, and more.
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Just saw a sick internal demo. Development won't be the same
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*destined
devin is so determined to win
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Max Martin retweeted
"Send a TestFlight link so you can start using it" crazy
Special delivery: Devin just got a Mac 🍎 Now Devin can: 1. Build & test apps on its own Mac VM with iOS simulator 2. Send a screen recording via Slack 3. Send a TestFlight link so you can start using it 📲
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Max Martin retweeted
I'm hiring 3-4 FDEs to work with me @Cognition on AI-native companies in Silicon Valley and New York. A few things that could make for an attractive candidate: 1) You studied CS and were actually good. Yes, AI has permanently changed the shape of engineering skills, but the important thing here is that you committed a time of your life to studying something and took pride in being good at it. 2) Ideally you've started a company and made money before. The company could have failed or been unprofitable - which is OK. The main thing here is that you've experienced the process of transacting with a customer. 3) You probably want to start a company again in the future. You're taking a job for now and know that it's temporary. This is also OK. 4) You're a natural at working with technical people in the SF and NY AI ecosystems. Perhaps you were a Fellow or Scholar with one of our investors (cc: @BainCapVC @8vc @generalcatalyst @soma_capital @kleinerperkins @accel @a16z). @zfellows is also an awesome cohort. 5) You don't want to have a boss and treat 1:1s as a nice-to-have. Your default mode is to just figure things out on your own. There's probably more but these are a good start. You don't need to have all of these things, but it should feel obvious whether you are this general shape of person or not. If we have a mutual friend or you have a contact at one of our investors, warm intros are great and will guarantee a convo. If you don't have that, just email me (shayan@cognition.ai) and I'll take a look.
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This Cognition drop is bigger than most people realize due to the attention to detail they spent post-training Kimi K3. Only a handful of labs are able to curate enough engineers with taste to double down on the details that matter for this work. The achievements here can’t be done with taking a model off the shelf and sending swarms of agents at these problems. - SWE-2 is better at writing tests that check an implementation end-to-end, catching regressions and edge cases more reliably. - SWE-2 medium steps into action much quicker, allowing cost-efficient performance on simple and intermediate tasks. - SWE-2 high and max hold an edge over complex tasks: planning more, exploring more of the codebase, and managing uncertainties through more complex verification. I can’t wait to play with this live and push the limits on my workflows.
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Max Martin retweeted
We have some very big news to share. 🎉 Today, Dioxus Labs is joining @Cognition to accelerate the development of Devin, Cognition’s autonomous cloud coding agent. We are excited to continue building Dioxus while also helping Cognition shape the future of software engineering.
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LFG!!!
Introducing SWE-2, our closest model yet to the frontier. On leading evals, it scores on par with recent frontier models – at up to 70% lower cost. We scaled RL to multiple trillions of parameters, with a refined recipe that pushes the Pareto curve on both capabilities & cost.
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Inevitable
The world needs far more software than it can build. Cognition exists to change that. We’ve just raised over $2B at a $48B valuation, led by a16z, Accel, Founders Fund, General Catalyst, and Avenir. Since our round in May, run-rate revenue has grown from $492 M to almost $900 M.
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BJJ breaks this chart. Peak IYKYK life changer.
The most commonly rated “life-changing” interventions: - Doing math - More sleep - Weightlifting - α-Klotho - Oxytocin - Dihexa - Modafinil - Nicotine - Caffeine Personally, I’d add bromantane and semax to the upper-right quadrant too.
Community note
This chart is a digitally altered version of a chart from a 2022 Reddit nootropics rating survey. It has added numerous nonsensical nootropics and has repositioned real nootropics that were included in the original survey. web.archive.org/web/2026031300…
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Max Martin retweeted
Be “so fucking good” that you’d be hated. Be like Devin
Devin is so fucking good that I hate this feature. I refuse to use subpar harnesses in my Devin experience lmao
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Nothing tells you more about someone than how they talk about salespeople
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New post re: Devin (the AI SWE). We couldn't find many reviews of people using it for real tasks, so we went MKBHD mode and put Devin through its paces. We documented our findings here. Would love to know if others have had a different experience. answer.ai/posts/2025-01-08-d…
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Max Martin retweeted
Some personal news: I’m joining @cognition as Head of Creative
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Do it all with @DevinAI
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Great use case
highly effective Devin automation that costs me under $1.50 per day Every day at 5pm: - Devin trawls through our logs and finds the slowest queries in the app - Creates a linear issue for each - Fixes them This would have taken a $200K per year engineer at least 3-4 hours per day previously.
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Extremely bullish - @moritz_stephan and team are special
Announcing Hone Intelligence has become abundant. Yet the world looks remarkably similar to how it did five years ago. With every model release, the gap between what frontier AI can do and the economic value derived from it widens. Closing the gap requires re-organizing work around organizational outcomes, not individual tasks. Hone builds AI that creates, orchestrates, and improves agents and software continuously to own organizational outcomes over weeks and months. We are ex-founders and early core contributors to Cognition, Mercor, Ramp, and OpenAI. We obsess over real-world value, not theoretical benchmarks. Our core beliefs on closing the gap in the thread below.
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