Subsidy Sniper
Subsidy Sniper is a high precision, autonomous AI agent designed to bridge the multi-billion dollar gap between unclaimed government funding and the small businesses that need it most. Operating as a 'Finance First' SaaS solution, Subsidy Sniper continuously monitors federal, state, and local databases (including Grants.gov and SAM.gov) to identify matching subsidies, grants, and tax rebates in real time. Unlike static databases, the 'Sniper' logic uses advanced heuristics to assess eligibility and automatically draft high-converting application narratives, reducing the administrative burden on founders by over 70%. It is a 'turnkey' digital asset built for scalability, zero overhead maintenance, and high-frequency 'toothbrush' utility.
Team structure
Lead
lead
AI Engineer
Backend Engineer
Data Engineer
Mission
Act as a Senior Lead Data Architect. I want to build a 'Grant & Rebate Discovery Agent.' Write a Python script to scrape the latest data from Grants.gov and state-level commerce databases for small business and individual financial assistance programs. Create a logic flow where a user inputs their zip code and business type, and the agent cross-references it with available funds. Integrate an LLM (Large Language Model) to automatically draft a 'Statement of Need' for the user based on the specific grant requirements found. Setup a Stripe API integration to charge $29 for the final 'Application Ready' PDF package.
The team
lead
Team Lead
Team management, task planning, delegation, and monitoring
AI Engineer
Expert in LLM integration and prompt engineering. Responsible for drafting the 'Statement of Need' based on grant requirements.