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Validate your startup idea in 60 seconds – I built earlylaunch.xyz

Hacker News

Validate your startup idea in 60 seconds – I built earlylaunch.xyz

Tired of building before validating, I made earlylaunch.xyz — a dead-simple tool to launch a clean waitlist page fast. No code, no fluff, just an email box and a dream. Launch in under a minute Collect emails + test interest Validate before you waste weeks building Built this out of frustration. It’s free to try — would love your feedback!

Visit product View on Hacker NewsJun 20, 2025

Actual performance

4points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

47%47% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% 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 · Missing: plus, platform, intuitive

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

22%22% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% 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.

Correct prediction on native model

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