Excited to share our partnership with DoorDash. Together we went from kickoff to real impact — in weeks, not quarters. Highlights: - Time to value: weeks, not quarters - Quality at scale: 90%+ DWR in production - Built for scale: 10B+ lifetime orders, 500K+ merchants, 8M+ Dashers, and hundreds of thousands of daily assistance requests

Generalists are useful, but it’s not enough to be smart. Advances come from specialists, whether human or machine. To have an edge, agents need specific expertise, within specific companies, built on models trained on specific data. We call this Specific Intelligence. It's what we're building at Applied Compute. We unlock the latent knowledge inside a company, use it to train custom models, and deploy an in-house agent workforce that reports to your team. We work with sophisticated companies that have already captured early gains from general models, like @cognition, @DoorDash, and @mercor_ai. They’re pulling even further ahead with proprietary in-house agents that don’t need to wait for the next public model release. Together, we are building and validating models and agents in days instead of months, achieving state-of-the-art performance on customer evals. Our team has high density and low latency. Our founders all worked on different parts of this problem while they were researchers at OpenAI — @ypatil125 as a key member on the agentic software engineer effort (Codex), @rhythmrg as a core contributor to the first RL-trained reasoning model (o1), and @lindensli as a core contributor on ML systems and infrastructure for RL training. Two-thirds of the team are former founders, and everyone brings a deep technical background, from top AI researchers to Math Olympiad winners. We are backed by $80M in funding from Benchmark, Sequoia, Lux, Elad Gil, Victor Lazarte, Omri Casspi, and others. With their support, we are growing the team, scaling deployments, and bringing to market the first generation of agent workforces built on specific models. In short: 1. We are building Specific Intelligence for specific work at specific companies. 2. That will power in-house agent workforces to support their human bosses. 3. That in turn will unlock AI’s full potential through humanity’s greatest engine of progress: thriving corporations in a free market.

Introducing Dot, your local delivery robot!

Introducing @tempo A payments-first blockchain incubated by Stripe and Paradigm

I’m so proud of all the work we’ve done over the past 4 years @rexapp. It’s been a rewarding journey to help people discover local businesses they’ll love. I’m very excited to share that the Rex team will be joining @DoorDash, where we’ll continue to help connect people to the best of their local neighborhoods. A huge thank you to @amitku, @adinatecklu and all of our investors for believing in and supporting Rex. We’re excited to start working with @andyfang, @rajat_shroff, @ParagDhanuka and the entire DoorDash team!

Loved chatting with @andyfang, co-founder and CTO @DoorDash, on our how a class project turned into a massive food delivery service in America... as part of our #AmericanDreamers series. @Forbes @FoundationCap forbes.com/sites/joannechen/…

Jaaa! Today we are launching in Germany, Europe's biggest economy 🇩🇪 doordash.news/2021/11/16/doo…

Excited to share I took a new role at @DoorDash as Engineering Director for Consumer Verticals + NYC Site Lead! Both really excited to join the DoorDash team and to be back in NYC. For all my NY friends, DM me if you want to catch up!