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I Built an AI-Powered Job Assistant with a Chrome Extension

Hacker News

I Built an AI-Powered Job Assistant with a Chrome Extension

Hey, I’m Dairon. After struggling with the repetitive and disorganized process of applying for jobs, I decided to build Applyvite. It’s a career assistant app that simplifies the entire job application journey—from crafting tailored resumes to saving job descriptions from any website with the Applyvite Chrome extension. The goal is to keep everything in one place, so users can easily track their applications and documents, without the hassle of constantly filling out the same info over and over. I built this as a solo founder and am passionate about making the job application process smoother for everyone. I’d love your feedback—let me know what you think!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
64%64% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · 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
13%13% 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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