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Metrics

sameernagar-hub edited this page Oct 9, 2026 · 1 revision

Metrics

Every published number, where it comes from and how to reproduce it. Numbers that can't be reproduced aren't published.

Metric Value Reproduce
Verified applications 69 to date (2026-10-09) python -m engine report: counts SUBMITTED + proof screenshot on disk
Best day 28 (2026-10-09) python -m engine report 2026-10-09
Boards polled ~2,370 workspace/boards.json; a full scan prints the count
Fresh postings per full scan ~3,400 before filtering python -m engine scan 1 output
ATS read-back 77–100% of matched JD terms resume events → coverage.ats.score
Scheduler throughput ×2.05 (3 tabs), ×2.5 (4 tabs) vs sequential python scripts/bench_scheduler.py 20 3 (seeded)
Tailoring speed ×3 vs v0.7 python scripts/bench_tailor.py
Tests 95 passing python -m pytest -q
Lead resolution alerts 45 relevant → 6 at source; newgrad 215 → 34 engine alerts, engine newgrad output
Big-tech roles ready 43 on first run python -m engine bigtech 3

What a "verified application" means

The company's confirmation page was reached and saved as a full-page screenshot, and the event log's latest status for that URL is SUBMITTED. Form-filled-but-unsubmitted, CAPTCHA-blocked or unconfirmed attempts are not counted.

Funnel on a strong day (2026-10-09)

Unique jobs touched: 113 → skipped by the fit gate 39 → needs you (legal, CAPTCHA, self-certification) 24 → failed or errored on site 21 → flagged by airbags 1 → submitted 28.

Related: Testing and evidence · Outcomes and learning

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