We read public job boards and find the companies scaling their sales team. You get the list, the reason they're a fit, and the proof — in three seconds.
Click any company to see the job postings behind its score. Every link goes straight to that company's own careers page — check us.
Every weight lives in one file and is meant to be argued with. Disagree with a number and change it — you shouldn't have to trust a black box.
One job posted in five cities is one job. Counting it five times is the fastest way to look unserious to anyone who knows how hiring works.
A company with forty open sales seats doesn't beat a company building its first go-to-market team. Volume isn't the same as intent.
Every score opens into the real job postings behind it. You can check the number instead of taking our word for it.
If a job board can't be read, it's reported as a failure — never quietly counted as a zero to make the results look cleaner.
Python, standard library only. No install, no API key, no account, no credit card.
$ git clone https://github.com/Duckky153/gtm-signal-engine $ cd gtm-signal-engine $ python3 -m engine.run # sample output, from the August 8, 2026 run Reading 26 public job boards... 1686 postings from 26 companies Top accounts by buying signal (25 scored above zero): 59 [A] Fivetran Fivetran has 4 open outbound sales roles across 6 postings. 50 [A] n8n n8n has 4 open outbound sales roles. 48 [A] Sierra Sierra has 4 open go-to-market engineering roles across 6 postings.
Tell me who you sell to and I'll rebuild this list around your customers, not my demo companies. Takes about an hour.
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