Ra

RateYourRecruiter.dev

Hacker News

RateYourRecruiter.dev

Tech recruiting and interviewing sucks. So I created https://www.rateyourrecruiter.dev/ to hold recruiters to account. The elevator pitch reads: Interviewing for a role in a highly sought after tech company is broken. Recruiters have incentive to get as many people in for interviews, with little to none (or incorrect) information. Questions often have little to do with on-the-job responsibilities, and are rarely communicated to recruiting and back to the candidate. By having a more transparent process is not only more equitable, but will lead to greater success for candidates and recruiters. RateYourRecruiter.dev aims at demystifying the recruiting and tech interview process.

Visit product View on Hacker NewsMar 4, 2022

Actual performance

13points

1comments

Made the leaderboard

Launch Intel predictions

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

58%58% 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.

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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

23%23% 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

15%15% 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

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

Incorrect prediction on native model

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