Instead of struggling with top companies whose details are available everywhere. I thought of starting out with startups on my list. So, I got 35 from my list of companies and easily got their ...
Two major milestones: finalizing my database choice and successfully running a local model for data extraction.
Going to the database repeatedly is slow and operations-heavy. Caching stores recent/frequent data in a faster layer (memory) ...
This is the summarization of my day 5 research. (I gave my rough research to AI for summarization.) Job aggregators like Indeed and LinkedIn actively prohibit ...
Breaking into 4 independent services means: Scale each based on actual need (crawler needs 10 instances, matcher needs 2) Test one piece at a time (ship faster, iterate publicly) Different tech ...
No code today, just research. Honestly felt like I did less work than previous days, but research is work. New plan: Custom open-source LLM (haven’t picked model yet) running locally first. Generate a ...
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