Applied Compute

@appliedcompute

The best AI is built, not bought. Our platform, Applied Compute Agent Cloud, is now in private beta. Book a demo below.

San Francisco

appliedcompute.com/book-a-demo

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Applied Compute
@appliedcompute
Aug 25
Today, we're introducing AC2, the Applied Compute Agent Cloud, to enable every team to train, serve, and improve their own frontier models.
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Applied Compute
@appliedcompute
Sep 4
A 35B open-weight model trained to search a precomputed index answers repo search questions at 100x lower cost than a frontier model. We partnered with @turbopuffer to train Qwen3.6-35B-A3B to find code across ~9,000 repositories. It tops the needle-in-a-haystack task outright
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Applied Compute
@appliedcompute
Sep 3
“50% of DoorDash’s agentic restaurant orders are going to places users have never ordered from before.” @andyfang tells our CEO @ypatil125 what happens when agents become the discovery layer. If models increasingly decide what gets surfaced and bought, companies have a strong
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Applied Compute
@appliedcompute
Sep 2
@andyfang and our CEO @ypatil125 get into what actually counts as proprietary data. Sometimes it’s obvious, like customer behavior or merchant data. Other times it’s buried in a support agent hearing “happy birthday” and knowing to send a cake. The opportunity is to turn the
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Applied Compute
@appliedcompute
Sep 1
“Until you actually see things operationally, it’s going to be hard to build DoorDash from scratch.” Our CEO @ypatil125 sat down with @andyfang on why cheaper software doesn’t erase years of operating advantage. @DoorDash’s moat is its proprietary data, edge cases, and hard-won
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