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Fill your hiring pipelines with ready-to-interview candidates

Hacker News

Fill your hiring pipelines with ready-to-interview candidates

As a former recruiter, I saw firsthand the struggle of getting relevant candidates into the hiring process. Companies could spend 10-20 hours per week just to go through endless LinkedIn profiles without knowing if the candidate will respond. Connect is a product built by recruiters for recruiters. It's a sourcing platform that takes in requirements through a structured kick-off, then shares candidates that were reached out to by our recruiters and are already interested in speaking to the company. Would love for you to check out the product and give us feedback!

Visit product View on Hacker NewsJul 27, 2022

Actual performance

2points

3comments

Did not reach leaderboard

Launch Intel predictions

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

74%74% 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.

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

62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

39%39% 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 · Strong signals: platform · Missing: plus, intuitive, reviews

26%26% 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

18%18% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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