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The All-in-One Sales Hiring Platform

Hacker News

The All-in-One Sales Hiring Platform

Hi HN! I'm one of the creators of HiringCafe, and we're excited (and very nervous) to be posting this on HN. We're recently backed by Pioneer! We struggled to find sales candidates who were passionate about our industry. Our recruiting strategy looked like this: Spend 2/3 of our recruiting efforts outreaching on LinkedIn. Hop on dozens of phone calls with candidates who didn't understand our industry. Post on job boards and get flooded with resumes. Rinse and repeat. To solve for this, we built HiringCafe. It allows you to post your sales jobs on multiple industry-specific communities and job boards, pitch your company to every candidate, and organize your workflow - all in one platform. I'd love your feedback and thoughts on what we're building. Thanks!

Visit product View on Hacker NewsJun 29, 2023

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

71%71% 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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, calls · Missing: plus, intuitive, reviews

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% 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

23%23% 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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