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An agent that finds you jobs with just your resume

Hacker News

An agent that finds you jobs with just your resume

All you do is upload your resume, and give the site your preferences on location, job titles, pay range, etc, and for free the site finds you a batch of jobs (usually around 5-15 per batch). It takes 10-30 seconds to generate a batch of jobs. The site is free and will always be free for people looking for jobs. It uses agents to check job boards all across the internet to find new / relevant jobs for people. I don't plan to ever make the site cost money for job seekers. For employers, I plan to charge a monthly fee for every live job they want delivered to job seekers. I think this experience is significantly better than using LinkedIn, Indeed, or other websites, even HN. But I believe most people will use multiple job search tools not just one.

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Actual performance

2points
4comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: agents, agent, new · Missing: mac, macos, cursor
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, monthly, way · Missing: mobile apps, ios, personal
38%38% 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
38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · 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
17%17% 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.

Correct prediction on native model

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