Jo

Job Boards in One Place

Hacker News

Job Boards in One Place

I am on a mission to help people to find a good job, for now mostly are from companies in the tech industry, however there are plenty of non-tech roles.Remote jobs are trending and non-tech industries are offering remote roles. I am curating a list of the best job boards in the world in one place, Job Board Search https://jobboardsearch.com/ there are 252 so far, also there is a filtering system and now I am working on a crowsourced raiting system. If you are a job hunter for sure this list is going to help you to find and get a job! Would be great to have some feedback about the website, how could it be more helpful and useful as a job seeker. What features would you add. Any feedback is helpful Also if you know any job board not in the list please let me know. Thanks :)

Visit product View on Hacker NewsMay 20, 2022

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

64%64% 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

59%59% 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

44%44% 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

38%38% 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

25%25% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

16%16% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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