A better way to track and organize your job search

Hacker News

https://jobhuntbuddy.co The job search has been a kick in the teeth, I started building JobHuntBuddy to keep my sanity while hopefully helping others with their search Job hunting can be a long grueling process. I love coding and making new projects. JobHuntBuddy started as a way to show employers what my work is like, while letting me dogfood it for my own job search. It also gave me a (productive) creative outlet while being unemployed. I know I’m not alone in this, lots of people are losing their jobs and struggling to find employment with everything going on in the world right now. This is my way of using what I know to try to help people. Of course, I would love for this app to turn into a sustainable business and allow me to be my own boss, but right now I want to help as many people as I can. I’ve added a free tier that lets job seekers track 10 of their applications and use all of the tools available. If you’re having trouble managing and organizing your job search maybe JobHuntBuddy can help you. Creating an account is free and I’m actively adding tools and features based on feedback, so don’t hesitate to reach out and ask for help. Happy Hunting

Visit product View on Hacker NewsAug 13, 2020

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

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best fitHighest predicted score across all platforms for this description.

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

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

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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