Two scoring bugs inflated the rankings:
- Substring matching: 'rag' matched sto[rag]e / tet[rag]on, 'intern'
matched inte[rnal], 'lead' matched [lead]ership. Roche's staff
restaurant and Cisco Tetragon roles scored as fits. Now keywords must
not be flanked by alphanumerics (c#/.net/c++ keep matching).
- Body boilerplate: every Kraken post mentions crypto/blockchain/trading,
so sales/PM/design roles scored as high as engineering ones. Title
matches now score full weight, body-only matches half (min 1);
negatives still count fully anywhere.
Strong-fit count drops 13 -> 5; the bogus 'intern' negatives and rag
false positives are gone. Shared _kw_in() also backs the title filter.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
dennisthiessenandClaude Opus 4.7
1e83966049