ResumeAI, AI-powered Resume Builder (get your resumes done in seconds!)

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Hey everyone, I'm self-taught dev from France. I'd like to share and receive your feedback on ResumeAI, which is a project I've been working on because I was frustrated with the traditional resume building process. I especially got tired of multiple input fields for all the resume builders out there. So I built a solution to generate fully formatted CVs out of a single text area. It's also possible to use your own voice in order to describe your experiences, projects, etc from just natural language (my app is using the whisper LLM under the hood). For now you can try it for free, just refresh the page if you see the paywall in order to try again. AI rewrites for now are unlimited. I've got a bunch of templates ready and more are on the way. Please visit https://resumeai.app/ to let me know what you guys think!

Visit product View on Hacker NewsJul 22, 2024

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

84%84% 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.

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

76%76% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

51%51% 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: way · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: builder · Missing: plus, platform, intuitive

33%33% predicted probability of success on AppSumo, 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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