Jo

Jobcamp.co, (not) yet another webapp for job seekers

Hacker News

Jobcamp.co, (not) yet another webapp for job seekers

Hi HN community! Wanted to share a first beta of https://jobcamp.co , a webapp I created aiming exclusively at supporting job seekers in the creation of their job application. Realizing how it's complicated to organize and track own job applications, how every resume should be refined for every job posting you're applying for and finally how lonely you can be while looking for job, I've brainstormed and designed Jobcamp.co. The manifesto would be : Be organized ! Do your homework! Good alone, but better together! It has been developed and designed visually with bubble.is. Would love to have any feedback, critics about it and feel free to share it to anyone who can need it! Matt https://jobcamp.co/

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: exclusive · Missing: plus, platform, intuitive
54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
35%35% 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: visual · Missing: mac, agents, macos
29%29% 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
11%11% 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.

Correct prediction on native model

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