{"version":"1.0","type":"card","id":"6c6a1e4b-245f-4bf2-8c48-f80fbe8367bb","url":"https://stacklist.com/card/6c6a1e4b-245f-4bf2-8c48-f80fbe8367bb","title":"Ollama raises $65M as its open-model runner hits nearly 9M developers","source_url":"https://thenextweb.com/news/ollama-65m-series-b-theory-ventures-open-models","note":"Ollama has raised a $65M Series B led by Theory Ventures, taking total funding to $88M, as its open-model runner reaches nearly 9 million developers. This funding round highlights the growing interest in open-model technologies and their applications in software development.","image":{"url":"https://ucarecdn.com/53a77ba4-f04d-46e3-8005-7d79c0485617/","alt":"Ollama raises $65M as its open-model runner hits nearly 9M developers","width":868,"height":488},"stack":{"id":"b4b2a9ee-24c0-4e11-92f5-3eca6f0ce7a2","title":"Signals Served #019 - Regulation Became the Moat","url":"https://stacklist.com/c/finance/stack/b4b2a9ee-24c0-4e11-92f5-3eca6f0ce7a2"},"created_at":"2026-07-21T20:15:44.868Z","updated_at":null,"aco":{"summary":"Ollama has raised a $65M Series B led by Theory Ventures, bringing its total funding to $88M, as the 14-person company reaches 8.9 million monthly developers and 85% of the Fortune 500. The startup bets that open-weight models will dominate AI inference, positioning its local-first platform and GPU-billed cloud as the default layer for running them.","tags":["ollama","series-b","open-source","ai-models","venture-capital","developer-tools","local-inference"],"key_entities":[{"name":"Ollama","type":"organization","confidence":1},{"name":"Jeff Morgan","type":"person","confidence":0.98},{"name":"Michael Chiang","type":"person","confidence":0.95},{"name":"Theory Ventures","type":"organization","confidence":0.97},{"name":"Benchmark","type":"organization","confidence":0.95},{"name":"Peter Fenton","type":"person","confidence":0.95},{"name":"Tomasz Tunguz","type":"person","confidence":0.93},{"name":"8VC","type":"organization","confidence":0.9},{"name":"Y Combinator","type":"organization","confidence":0.92},{"name":"Docker","type":"organization","confidence":0.9},{"name":"DeepSeek","type":"technology","confidence":0.88},{"name":"Nemotron","type":"technology","confidence":0.85},{"name":"open-weight models","type":"concept","confidence":0.95},{"name":"Nvidia","type":"organization","confidence":0.88},{"name":"TechCrunch","type":"organization","confidence":0.85},{"name":"local inference","type":"concept","confidence":0.9}],"classification":"analysis","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-07-21T20:15:57.950Z"},"token_counts":{"approximate":810,"cl100k":717},"content_hash":"sha256:546547c1c8780e3250177fedcf3243f3f4c7831e2cf7a479f9b5dce91beee631","acp_version":"0.2","body_available":true,"body_tokens":810,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/6c6a1e4b-245f-4bf2-8c48-f80fbe8367bb.json","html":"https://stacklist.com/card/6c6a1e4b-245f-4bf2-8c48-f80fbe8367bb","md":"/api/public/card/6c6a1e4b-245f-4bf2-8c48-f80fbe8367bb.md","stack_json":"/api/public/stack/b4b2a9ee-24c0-4e11-92f5-3eca6f0ce7a2.json"}}