Jobamate – Automate your job search

Hacker News

Jobamate helps you auto-apply to jobs with a few clicks. Upload your resume, and it finds matches, tailors cover letters using GPT-4, and even fills out job apps on LinkedIn and Indeed using browser automation I built this after watching too many friends burn out from applying manually. It uses resume parsing, skill-to-role matching, and dynamic prompt engineering to target real jobs—not just generic spam blasts. There's a Chrome extension that works in the background as you browse job boards, and a dashboard to track progress and generate custom interview prep. I'm also working on a mobile version and deeper integrations with niche boards. Would love feedback from anyone job hunting, hiring, or thinking about resume AI.

Visit product View on Hacker NewsMay 20, 2025

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Actual performance

2points

Did not reach leaderboard

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

79%79% 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.

TrustMRRFits verified-revenue profile · Strong signals: apps · Missing: mobile apps, ios, personal

67%67% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: apps, using · Missing: mac, agents, macos

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

39%39% predicted probability of success on AppSumo, 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

24%24% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

19%19% 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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