Joby.ai – AI-powered job search engine (163,652 live tech jobs)

Hacker News

Job boards suck. I built a tool that scans job postings directly from company career websites (ATS’s like Greenhouse, etc) and intelligently categorizes them based on user-specific preferences with GPT. This way, there are no expired jobs and you can find jobs that are not on linkedin, indeed or any other job search tool. You can filter based on: * City, Country and remote work preferences * Years of experience Salary and currency (where available) Industry and Role type (engineer, architect, product owner, etc.) * Visa Sponsorship and more It’s just a project now, but my goal is that soon we will have all the jobs on the internet. After a few iterations it's finally half decent, and I now exclusively use it for my own job search. Its available for free to everyone: www.joby.ai Let me know if you have any questions, would love to get your feedback!

Visit product View on Hacker NewsJan 30, 2024

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Actual performance

3points

5comments

Did not reach leaderboard

Launch Intel predictions

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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

57%57% 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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% 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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