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Funding Library page with real funding programs scraped and parsed with AI
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Mock farm profile page
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Users funding program page
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Real fund program example
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Getting recommended funding programs based on user profile and specified problem
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AI assisted application planning (1): General information about program
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AI assisted application planning (2): Assistance in filling out forms
Inspiration
Farmers struggle to find government funding they qualify for, and existing tools have stale data with no application guidance.
What it does
FundingFlow uses AI to automatically discover funding programs from government websites, match farmers to them via natural language, and generate personalized application plans with auto-filled PDF forms.
How we built it
Node.js/Express backend with Featherless.ai (Qwen3-32B) for AI, Cheerio for web scraping, and pdf-lib for form filling.
Challenges we ran into
Managing token costs from massive government web pages and deduplicating 82+ scraped programs required aggressive HTML cleaning and multi-strategy matching algorithms.
Accomplishments that we're proud of
We built a complete soup-to-nuts workflow from “my tractor broke” to a filled-out government PDF, all powered by four distinct AI applications using real USDA data, not mocks.
What we learned
Prompt engineering varies dramatically by task; extraction needs strict schemas and low temperature, while plan generation needs rich farm context and tier-specific templates.
What's next for FundingFlow
Automated daily scraping, real user authentication, and direct integration with Ambrook’s financial platform for deeper personalization.
Built With
- cheerio
- express.js
- featherless.ai
- html
- javascript
- node.js
- openai-sdk
- pdf-lib
- qwen3-32b(llm)

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