I ran my job search like a GTM pipeline

Find the roles worth pursuing at companies with real momentum, using the same signal-based playbook I'd run for a sales pipeline.

• Job boards miss most roles and block scrapers.
• Research agents mis-cite sources.
• Momentum and fit get conflated, so hype inflates scores.

1. Swept employer applicant-tracking APIs directly, accepting a board only when it provably belongs to the company. 1,023 (open receipt)Receipt Verified 2026-10-091,023 of the postings came straight from employer applicant-tracking APIs, not job boards.PeriodRun of 2026-09-15MethodAshby, Greenhouse and Lever public board APIs.SourceDated run folder of the postings came straight from those APIs.
2. Quick triage, then 239 (open receipt)Receipt Verified 2026-10-09Scored 239 roles across 25 parallel agent batches on a 4-factor rubric; 215 cleared Good-Fit.PeriodRun of 2026-09-15MethodRubric: technical 30, experience 25, behavioral 15, career 30.SourceDated run folder roles scored by 25 parallel agent batches on a 4-factor rubric.
3. Momentum tiers (recent funding, product or revenue signals) order the list but never change a fit score.
4. Fact-checked 343 (open receipt)Receipt Verified 2026-10-09Fact-checked 343 company claims before using any: 324 supported, 16 partly, 3 rejected.PeriodRun of 2026-09-15Method21 verification batches over 124 companies.SourceVerification outputs (JSON) company claims before using any: 324 supported, 16 partly, 3 rejected.
5. A deterministic equity model: three scenarios, never one number. Agents gather the inputs; code does the math.

• 1,652 (open receipt)Receipt Verified 2026-10-09Mapped 1,652 unique postings from 13 sources.PeriodRun of 2026-09-15MethodDeduplicated across sources.SourceDated run folder unique postings mapped from 13 sources.
• A ranked, momentum-tiered shortlist with every company claim sourced.