Rezume – Build your resume, portfolio, and personal site in minutes

Hacker News

Hi. I built rezume.page. Similar to any other student, I had assignments, deadlines, projects and everything else. Focusing on these didn't allow me to allocate time for the future. You can't get more hours in a day, but you can use the hours given to you more efficiently. Using Rezume, you can build your personal portfolio page (your Rezume page!), a well-formatted resume PDF, and a shareable link in bio, all at the same time. You can also use AI to automatically enhance your resume. Whether it's an internship, a job, or any other prospect, you're always prepared. Rezume is your link in bio, your personal portfolio site, and most importantly, your resume. It’s personally helped me quickly retrieve my resume, make easy edits, and stop wasting time on formatting. Open to feedback! (Free beta access)

Visit product View on Hacker NewsJun 21, 2025

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Actual performance

3points

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: efficiently · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoStrong fit for a featured deal · Strong signals: efficient · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: using, open · Missing: mac, agents, macos

50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

30%30% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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