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recent
p/general
by
Ryan Hendrickson
Featured
•
3mo ago
What are you building, and what does your stack look like?
... Ryan, solo founder here. Building Clinch ( clinch.land ), an AI job-search copilot: parses your resume, ingests jobs daily, ranks them against your profile with hybrid semantic + keyword search, and can auto-apply in the background. Stack - Backend: FastAPI +
Celery
, Redis as broker + pubsub, Postgres on Supabase with pgvector for hybrid search. I didn't overthink too much the vector database here since the data is already stored on supabase. Still experimenting with the embedding models though - Frontend: React + Vite ... ... nano for cheap structured calls, heavier models for big prompts) with Claude Haiku as fallback. All prompts and traces in Langfuse - Auto-apply: I tested some apis like skyvern , browser use. Ended up building my own - Hosting: Render (web,
celery
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