Firki
Agentic AI that sees and extracts technical signals from JD
What it does
Firki is the first Agentic Vision Model (AVM) built to solve the 73% "Keyword Gap" in talent discovery. While traditional ATS systems rely on rigid text matching, Firki’s AI "sees" unstructured JDs in Gmail/Outlook to infer true technical intent. Key Impacts: 97.5% Efficiency: Reduces Boolean building from 20 mins to 30 secs. Ethical AI: Focuses on skill signals over pedigree to reduce bias. ROI: Saves recruiters $3k+/mo in manual labor.
Does the same job
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Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
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Community, All the HN belong to you. This is an archive of hacker news that fits in your browser. When I made HN Made of Primes I realized I could probably do this offline sqlite/wasm thing with the whole GBs of archive. The whole dataset. So I tried it, and this is it. Have Hacker News on your device. Go to this repo (https://github.com/DOSAYGO-STUDIO/HackerBook): you can download it. Big Query -> ETL -> npx serve docs - that's it. 20 years of HN arguments and beauty, can be yours forever. So they'll never die. Ever. It's the unkillable static archive of HN and it's…
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