github scout.
Two layers: a cheap deterministic radar that continuously searches GitHub for rejected demand, and a smaller curated list of plays worth thinking about harder.
__COUNT__raw candidates
__CURATED_COUNT__curated plays
__REPOS__repos scanned
__SEEDS__seed repos
__DISCOVERED__discovered repos
__UPDATED__last radar · UTC
curated
Promoted opportunities with an actual thesis and smallest next move. Static for now; no scheduled model job burning tokens.
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raw deterministic radar
No model judgment. Seed repos + deterministic GitHub repo discovery → rejected issues → explicit score → ranked candidates.
Minimum score: __THRESHOLD__. Score = rejection + recency + engagement + externalizability + repository activity/scale/issue surface. Repos are either permanent seeds or discovered from fixed GitHub search queries. Same inputs, same ranking.
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