Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
semantic embedding benchmark toolkit for evaluating text representations
A single Bluesky post placed this repo at rank 1 on that platform, but it has zero presence on GitHub trending, Hacker News, X/Twitter, Reddit, Product Hunt, or developer blogs. The signal is isolated and unconfirmed.
Why now: Nothing changed. Random single-post amplification on low-weight platform (bs weight 0.06) with no follow-through.
Considerations: Single Bluesky post could be self-promotion, a bot, or random share with no organic uptake. No GitHub stars velocity, no forks, no issues discussion, no package downloads. Embedding benchmarks are a crowded space (MTEB, BEIR, etc.) with established leaders; new entrants need strong differentiation to matter.
EMERGING SIGNAL · Ignore: Do not track further unless it appears on ≥2 additional credible sources with engagement metrics.
Sources: Bluesky search: MinishLab/semble
Methodology: synthesized from this project's own documentation, live GitHub data, third-party coverage, and multi-platform signal convergence — by AISO.tools.
git clone https://github.com/MinishLab/semble.gitThen follow the README in the cloned directory.
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