Resumecreator.io – I built a simple resume builder

Hacker News

Hi HN! I'm a developer who noticed that I haven't done much experimentation lately. I decided I wanted to change that this year. This month I built a simple resume builder with the main goal of practicing front-end development, and to scratch an itch I had when updating my resume. :) After it was functional enough, I casually shared with some friends to express my enjoyment of crafting something just for the sake of having some fun. To my surprise they ended up asking how they could send to others. So I went one step further, due to my pure excitement, and hosted it on Netlify to make publicly available. In case you're curious, I used the React component library Mantine[1] in this project. I loved it, so I definitely recommend to check it out for your next React project. Have thoughts to share? I would love to know! :) If you're postponing starting that project you have been thinking of, just do it. Right now. Just create a new dir, load up your framework of choice and start it, even a couple of lines are enough to get you started. We should never forget that to play around is awesome. -- [1] https://mantine.dev

Visit product View on Hacker NewsMay 30, 2022

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

83%83% 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.

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

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

41%41% 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

15%15% 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.

Correct prediction on native model

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