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How it works · What we do and don't do

A curated pool, a profile you control, and explanations you can check.

This page is the plain-language version of our product rules. If anything here isn't true in the product, that's a bug — tell us.

  1. 01Founder-curated sourcesWe hand-pick company boards and careers pages, test each, and check robots, rate limits and terms before activating.
  2. 02Scheduled checksApproved sources are polled every few hours. Nothing is scraped from LinkedIn; nothing is crawled at random.
  3. 03One record per jobDuplicates merged. Each field tagged observed, inferred or unknown. A posting is closed only after several confirmed absences.
  4. 04Your profile, confirmed by youCV + optional GitHub / LinkedIn data + your goals. You review and fix our reading before anything is matched.
  5. 05Eligibility, then relevanceHard constraints first (country, visa, work model). Ranking second. Every match comes with reasons, gaps and the official link.

Data notice · short version

What we read, where it goes, how long we keep it.

Legal basis, retention periods and provider agreements are being finalised with counsel (KVKK / GDPR). Values marked [TBC] will be replaced before launch — we won't print numbers we haven't verified.

What we read, what it is used for, whether it goes to the AI provider, and how long we keep it
DataUsed forSent to AI providerRetention
CV textExtracting roles, skills, datesYes — extraction onlyRaw file 90 days [TBC]
GitHub metadataSkill signals (languages, activity)Yes — summarisedUntil disconnect
Career goals & constraintsEligibility and rankingYes — rankingWhile active
LinkedIn archive contactsPrivate network signalsNoUntil you delete
Job postings (shared)Enriched once for all usersYes — public textPer source terms
Email, login, tokensAccount and connectionsNoWhile active

Questions about your data?

Export or delete everything from Settings at any time — no email required. For anything else: [PRIVACY CONTACT].

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