Recruiting Firms for Startups

Hacker News

Pretty much what it says on the tin. This is a list of recruiting firms that specialize in working with startups, for things like engineering hiring, executive recruiting, and chief of staff hiring. We've worked with a few hundred seed through series E venture backed startups including many that have raised 9 figures or more to help them find executive coaches, and are now helping a few find recruiting firms too. It's definitely only relevant to a pretty tiny audience, but if you're in that audience (startup execs, founders, or talent people looking for recruiting vendors!) then it'll save you a bunch of time. We could do one on the candidate side too, if there's interest, to help engineers discover recruiters to work with.

Visit product View on Hacker NewsApr 21, 2023

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Actual performance

2points

Did not reach leaderboard

Launch Intel predictions

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

87%87% 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 · Strong signals: including · Missing: supports, reddit linkedin, podcasting

66%66% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, including · Missing: https docs, excited, just released

63%63% 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

44%44% 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

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

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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