Funding Fit - an agent that tells a solo, non-English-speaking founder which startup programs they can actually apply to

说明与用途

Funding Fit 是一个代理，帮助没有公司、无法进行英语视频面试的单人创始人确定他们可以申请哪些创业项目，使用本地 LLM 和 Sanity 知识库。

问题

Solo founders without a company, staying in Korea, and unable to do English video interviews struggle to determine which startup programs they can apply to because eligibility information is scattered across program pages.

结果

The agent identified Hustle Fund, TheVentures, FuturePlay, and Mashup Ventures as programs with no blocking eligibility rules for the founder’s profile, Antler Korea as conditional, and excluded Y Combinator, Founder University, SparkLabs, and Betaworks Camp.

工作流

• 1. Create a Sanity knowledge base with 14 official program sources organized into 9 entry categories.
• 2. Define a purpose field to focus on eligibility, residency, interview format, and application process.
• 3. Deploy a local model (gemma3:4b via Ollama) to run all LLM calls locally.
• 4. Use the Context MCP endpoint (funding-fit) with read‑only Context Viewer token.
• 5. Agent workflow: initial_context → knowledge_base_search → knowledge_base_read → extract 8 fields per program with quotes.
• 6. Grounding check: verify each value’s quote appears in the retrieved text and matches the topic.
• 7. Compute fit verdict (apply / conditional / excluded) and final summary from verified facts only.
• 8. Present results in Korean and English.
• 9. Record performance metrics (e.g., 47 facts extracted, 39 verified, 100 s runtime).

证据

Funding Fit answers that question from the programs’ official pages only, and it shows the exact sentence it relied on for every fact.

来源

All model calls run locally with a small open model (gemma3:4b via Ollama) - free, offline, nothing about me leaves the PC except the search query to Sanity.

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The fit verdict (apply / conditional / excluded) and the final summary are computed by code from verified facts only.

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