Generate a Cover Letter by Pasting the Job Post and Your Resume

Hacker News

Introducing my new AI-powered tool that generates personalized cover letters in seconds! It's powered by GPT-3 and all you need to do is upload the job post and your resume, and the tool uses the language model to analyze and match the keywords and requirements from the job post with your skills and experience. The generated letter can be further customized, and you can create multiple letters quickly and easily. It's still pretty bare-bones so I'm thinking of ways to make this better. I'd appreciate any feedback! Let me know what you think.

Visit product View on Hacker NewsMar 11, 2023

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67%67% 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: personal, way · Missing: mobile apps, ios, entrepreneurs

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

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

52%52% 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

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

34%34% 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

12%12% 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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