Manual outreach funnel on talent_profiles (sourced -> shortlisted ->
contacted, one-step undo) tracked per profile with who/when stamps.
New PATCH /talent/profiles/outreach behind talent.edit; Find Talent
screen gains All/Shortlisted/Contacted tabs, a star to shortlist and
a check to record that the recruiter messaged the person on LinkedIn
(the app itself sends nothing). Re-runs never reset outreach state.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Live case: the job titled "Generative Engineer" sourced a pool titled
"Generative AI Engineer" -- the exact phrase never occurs in that title,
so every genuine match fell through to the scattered 35 tier and the
whole pool compressed into the 40s. A current title containing every
job-title token now earns the full 55. The headline tier stays
phrase-only so keyword-stuffed headlines still cap at the 35 tier.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Dashboard/chart audit (senior-analyst pass over the live app):
- Pipeline bars were all 0% while the doughnut showed candidates: the
percentage base was the first stage count (PROCESS, empty). Bars are
now each stage share of the active total, REJECTED is excluded
(matching the Analytics card), and stages sort in pipeline order.
- KPI trend chips no longer show a green up-arrow beside an empty delta;
for lower-is-better metrics (time to hire, cost per hire) the colour
tracks goodness while the arrow tracks the data direction.
- Closed Jobs tile no longer adds hires to closed requisitions and no
longer hardcodes an up arrow; Offers Accepted drops the hires-series
sparkline that plotted the wrong metric.
- charts.js: integer-friendly Y ticks (no more 0,1,1,2,2), edge-hugging
X labels (last month was clipped), and label thinning on packed axes.
Find Talent: nav item and page title renamed from Talent to match the
action button and to distinguish it from Talent Pool.
Already-applied matching (Find Talent x ATS):
- linkedin_utils.py: shared /in/<slug> extraction that survives PDF
mangling (percent-escapes, no scheme, trailing punctuation, /pub/).
- inbox_messages.linkedin_slug + manual_upload_candidate.linkedin_slug
(indexed; empty = scanned-none, NULL = unscanned) written as CVs are
processed and lazily backfilled in bounded batches at fetch time.
- talent/matching.py annotates profile payloads with already_applied
(source, status, job, same_job, applications); profile cards and the
detail modal show a green Already-applied / amber In-ATS-other-job
chip.
Verified live: seeded CV mention matched its sourced profile with zero
false positives across 50 real Apify profiles; 57 backend tests and the
frontend build + smoke suites pass.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Talha Ahmed
ahmed.mujtaba