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Get hired faster by reaching decision-makers early

Hacker News

Get hired faster by reaching decision-makers early

I built Insider Openings because I know how frustrating job searching can be. You spend hours tweaking resumes, writing cover letters, applying through job boards… and then? Crickets. I’ve been there, wondering if anyone even saw my application. But after years of working with startups, I noticed something most job seekers don’t see is that when a company raises funding, they’re about to grow. They start hiring fast, often before a job ever hits a careers page. That’s when the window of opportunity is wide open… but no one’s talking about it. So I thought, what if I could give job seekers a head start? A list of companies fresh off a funding round, along with direct contacts to the people actually making hiring decisions? That’s how Insider Openings was born.

Visit product View on Hacker NewsMar 21, 2025

Actual performance

6points

4comments

Did not reach leaderboard

Launch Intel predictions

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

83%83% 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 NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

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

nativeThis product was originally launched on this platform.

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

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

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

46%46% 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

36%36% 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

19%19% 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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