Get Instant for Jobs from companies you like

Hacker News

Hi HN Community, I built this website to help track companies I’d love to work for. Initially, I used Google Sheets to keep track, especially for companies that don’t post jobs on LinkedIn. After realizing others might find it useful, I decided to share it with you. I’d love for you to check it out, and I welcome any feedback or suggestions to improve the tool. In the future, we plan to evolve this into a cost-effective Applicant Tracking System (ATS) for businesses. If your company is interested or if you'd like to learn more, feel free to reach out. Thanks for taking a look! Later I thought it can be useful for others, so sharing it here, please check it out, and all feedback is welcome. We do plan to convert it into some kinda cheaper ATS in future if your company is interested, feel free to reach out as well.

Visit product View on Hacker NewsSep 22, 2024

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2points

Did not reach leaderboard

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

73%73% 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.

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

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: google · Missing: mobile apps, ios, personal

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

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

41%41% predicted probability of success on AppSumo, 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

24%24% 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

16%16% 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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