FairApply — fairapply.app
KI liest Lebensläufe und erstellt passende Bewerbungen pro Stelle — mit echten Zahlungen und E-Mail.

Ergebnis
- ✓Two products on one data layer — FairApply is built entirely on the FairJobs API.
- ✓AI-generated CVs and motivation letters per vacancy, not generic templates.
- ✓Payments and email built to production standards (webhook-verified Mollie, Brevo deliverability).
Meine Rolle
Founder and sole engineer — product, AI flows, payments and email.
Die Herausforderung
Applying to jobs is repetitive and slow — rewriting your CV and a motivation letter for every role. I wanted a product that does that heavy lifting with AI, on top of live vacancies — and, as a real business, it had to handle payments and transactional email properly.
Was ich gebaut habe
A React app backed by ~15 Supabase Edge Functions: Claude parses an uploaded CV, improves it, and generates tailored motivation letters and resumes per vacancy (pulled from the FairJobs API), with Mollie payments and Brevo email wired end to end.
Wie es funktioniert
- Upload a CV → Claude parses and improves it → generates a tailored motivation letter per vacancy — all inside Deno Edge Functions.
- Payments run through Mollie with a verified webhook round-trip; the server confirms payment before anything unlocks.
- Email, referrals and status notifications are all handled server-side, keeping deliverability out of the DIY danger zone.
Stack & Warum+
Bereit, KI wirklich arbeiten zu lassen?
Produkte, die echte Arbeit erledigen.
Rund 11 GB amtliche Quelldaten als 121-MB-PMTiles-Karte, mit gemessener, berechneter, geschätzter oder unbekannter Herkunft pro Feld.
FairCTO — faircto.comEine produktive NL/EN/DE-Seite mit Live-Claude-Agent, lokaler SEO, strukturierten Daten und direkter Terminbuchung.