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Now free A website that checks your brand name for vulgarity

Hacker News

Now free A website that checks your brand name for vulgarity

Hey HN! A couple of days ago I posted already SafeName - a tool that checks your brand or product name for vulgarity in all languages. I decided to make it free! Have you ever heard the story of Ford's car named "Pinto"? Well, not to go too much into detail but the word "Pinto" means something - let's say...vulgar in Brazilian Portuguese :-) The car did not sell well, as you might imagine. Or Kiri Cheese, you know the little white cheese block for kids? In Persian, "Kiri" means also something vulgar (yes, sometimes this THING is also small :-)). To avoid that your company or product name ends up with the same faux pais, I created SafeName - a tool that checks your brand or product name in all languages around the world. With more and more creative brand names around the world it is likely that this name means something obscene, vulgar or inappropriate in a different language. Check it out - it's free now! Roland

Visit product View on Hacker NewsMay 16, 2024

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

52%52% 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 HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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.

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

41%41% 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

21%21% 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

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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