ApplyEngine: AI-automated autofill, resume and cover letter

Hacker News

Hi YC Community, I’m excited to introduce the ApplyEngine Chrome Extension! The ApplyEngine Chrome Extension automatically fills out job applications, tailors your resume, and generates personalized cover letters—all powered by AI. Simply upload your resume once, and let our intelligent system handle the rest. While similar products cost $14.99 per week, the ApplyEngine Chrome Extension is FREE for unlimited usage, backed by the Bring Your Own Key (BYOK) feature, which allows you to use your OpenAI API key to control your AI budget and usage. I would appreciate your feedback on both the problem we’re addressing and the product itself. Thanks, Nishant

Visit product View on Hacker NewsNov 21, 2024

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

70%70% 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.

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.

TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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.

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

35%35% 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 · Strong signals: introduce · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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