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First Decentralized AI Search for Builders & Agents

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  20. 208B

    Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…

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  21. 21AA

    Hi HN, Even the smartest AI coding agents stall when the fix isn’t in their training data. AgruSeek runs an agentic search loop across ~30 M developer sources to dig up solutions normal web search misses. REAL‑WORLD USES • Found an undocumented `--runtime‑bypass` flag (buried in a 2017 gist) • Pulled actual Claude Code pricing from forum anecdotes - no “contact us” paywalls • Traced a race condition by cross‑linking five issue trackers across forks WHY POST NOW We’ve abused AgruSeek internally for three weeks; we’d love outside stress tests. Access is free (limited seats for Beta, no…

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  24. 24AT

    Hi everyone! We just launched Depth AI - a tool that helps you onboard to large and messy codebases. Unlike most dev tools that help in codegen and building smaller apps, this one mainly aims at understanding large repos better - so we have focussed a lot of code search quality. We also launched the first version on product hunt https://www.producthunt.com/posts/depth-ai. Do check us out. Would love to hear feedback here and discuss more how our approach to code search is different.

    2024

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