Applied Compute (@appliedcompute) — Twitter Score 30 out of 1000

Applied Compute is an enterprise AI company that builds custom models and agents trained on proprietary company data, co-founded by Yash Patil, Rhythm Garg, and Linden Li. Applied Compute's Twitter Score is 30 out of 1000 as of October 2026, ranking #32,662 (top 10%) among 493,263 tracked accounts.

Applied Compute describes its core approach as Specific Intelligence, a framework in which proprietary agents are trained on how a given enterprise actually operates and are designed to improve continuously over time. The company positions itself as a cloud for model training, inference, and continuous improvement, with researchers who help organizations convert their internal data and expertise into custom intelligence. Its official infrastructure covers model training, evaluation, agents, datasets, deployment, and inference.

Applied Compute's three co-founders previously worked on Codex, o1, and machine-learning systems and infrastructure for reinforcement-learning training at OpenAI, according to Yash Patil. The company announced $80 million in new financing at a $1.3 billion post-money valuation on April 8, 2026, led by Kleiner Perkins, bringing total disclosed funding to $160 million. Additional backers include Benchmark, Sequoia Capital, Lux Capital, Greenoaks, Neo, Elad Gil, Hanabi, Victor Lazarte, and Omri Casspi.

Applied Compute has published 271 posts on the platform. The account has been mentioned by 28 accounts, with 44 total mentions.

Who follows Applied Compute on X?

The accounts that follow Applied Compute include 144 founders, 52 angel investors, 18 influencers and 3 VCs. Among them are Marc Andreessen, Tommy, Ali Yahya, Cuy Sheffield, Aaron Levie and Gaby Goldberg.