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A TUI to match you with Who's Hiring jobs

Hacker News

A TUI to match you with Who's Hiring jobs

None of the web UIs for Who's Hiring made it significantly easier for me to find jobs that matched my skillset / experience / values, so I made a tool to score and sort jobs by my criteria. You can define your own as golang regexes. The tool works offline, and it exports to JSON for further processing. Untested on Windows but let me know your experiences. And hire me as a remote OSS linux dev / SRE architect :) Especially if you're in a humanitarian space.

Visit product View on Hacker NewsOct 31, 2024

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

49%49% 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 · Missing: mobile apps, ios, personal

43%43% 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

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

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

31%31% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

20%20% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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