A simple tool to help filter recruiter spam

Hacker News

I made a tool for myself to act as a filter for recruiter messages. I was tired of getting vague messages and doing the typical messaging back and forth only to hear the salary was too low or the job didn't have remote. The tool lets you create a form with a selection of only the filters you want on there. You give a unique link to recruiters that will take them to the your form They can fill in your form (or not) If their responses pass your filters you'll get an email. If their responses fail your filters, the recruiter gets an email saying so, so they know not to bother you again. The idea is that recruiters can never see your filter values You can rate limit individual recruiter submissions per day (they have to log in to submit) Keen for any feedback thanks! I'm especially keen for any feedback from recruiters if you do decide to use it :) cheers, dar

Visit product View on Hacker NewsJan 19, 2022

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

66%66% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, 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.

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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos

30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

14%14% 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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