Yo

Your Startup Needs a Better Name

Hacker News

Your Startup Needs a Better Name

Hey HN, Ever notice how so many startups (including YC) seem to have such similar names? Over the years, I've been tracking the most common words I see (i.e. base, loop, layer, stack, etc.) and made a list out of them. This app shows all the combinations available and looks up the domains on Namecheap to see what you can buy. I made this because the list was fun to show at parties, but honestly, I think more than a couple of startups will find this helpful.

Visit product View on Hacker NewsJul 24, 2025

Actual performance

2points

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

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

nativeThis product was originally launched on this platform.

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

63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

43%43% 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

29%29% 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

14%14% 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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