Hi HN,
I’m a frontend engineer and built Jobbi.app, a small tool that uses AI to tailor a resume to each job description. It’s currently free, unlimited, with PDF export.
Problem
During my own job searches I kept rewriting the same resume for dozens of roles. Most “AI resume builders” I tried either:
– focused on generating a resume from scratch instead of working with my existing one
– had strict free‑tier limits or aggressive upsells
– produced very generic, obviously‑AI text.
What Jobbi does
– you upload a “master” resume (PDF or text)
– you paste a job description
– it extracts relevant parts, rewrites bullets to match the JD, and outputs a tailored resume you can edit in the browser and export as PDF.
Under the hood it:
– parses the resume into sections (experience, skills, etc.)
– scores which bullets/skills are relevant to the JD keywords
– rewrites only those parts, keeping the original structure and tone as much as possible
– uses Gemini API with some prompt engineering around “don’t invent experience / don’t change dates / keep numbers”.
What’s different
– it assumes you already have a resume and just want fast tailoring, not a full CV builder
– no limits / logins / credit cards right now (I care more about usage + feedback than monetization at this stage)
– I’m optimizing specifically for software/tech roles, so I’d love feedback from this crowd.
Questions for you
– For those who’ve used similar tools, what did you hate the most?
– Is there something obviously broken / insecure / unethical in my approach?
– What features would make this actually useful for HN readers (e.g. integration with “Who’s Hiring”, diff view of changes, local‑only mode, OSS version, etc.)?
Link: https://jobbi.app
I’ll be in the thread to answer questions and hear any feedback (incl. “don’t do this because X”).