To

Tool that matches careers with your interests

Hacker News

Tool that matches careers with your interests

We've created a tool where anyone can select their interests and explore careers with skill maps without signing up. Once we launched the YouTube analyzing algorithm https://news.ycombinator.com/item?id=32482716 , we discovered 2 crucial things: 1. People want to edit and set up their interests manually. 2. People are concerned about privacy and don't want to share their results. We've also improved the privacy part of YouTube's analysis. We removed profile names and avatars from the public view, added the ability to edit them, and made the data policy clear and straightforward. Kudos to the community for previous feedback. Looking forward to the next :)

Visit product View on Hacker NewsOct 14, 2022

Actual performance

1points

Did not reach leaderboard

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

62%62% 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: io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

31%31% 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

14%14% 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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