A GPT-driven tool for analyzing & tracking your resumes & job postings

Hacker News

Jobs-Scout is an AI (OpenAI's GPT) driven job tracking tool that can parse job postings and analyze your resumes against them. The AI recommends qualifications, accomplishments and keywords that can improve your chances in matching the job posting. As you add job postings to the tool, it allows you to set status, notes and track resumes used and be better organized as well. I'm keeping it free hoping it will be helpful to some of the new job seekers out there. All I ask for is any feedback that could improve it. PS. an email is needed to login. For Beta, you can use a fake email, but I may clean-up unverified users later. I promise that email goes nowhere other than for authentication.

Visit product View on Hacker NewsJan 26, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: user, new, email · Missing: mac, agents, macos

72%72% predicted probability of success on Product Hunt, 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: users · Missing: mobile apps, ios, personal

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% 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

36%36% 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

14%14% 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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