I'll name your startup for $249 (relaunch)

Hacker News

Last week I launched a naming company (Nomvilla.com - http://news.ycombinator.com/item?id=3822305) and got a lukewarm response. The biggest issue (I think) was the price, which at $899 turned a lot of people off. So, I've lowered it to $249, which is hopefully more reasonable for the average founder. Each project comes with a detailed report, in which we research and analyze each of the names thoroughly. Considering how important a name is (and how difficult it is to create a good one), there's a lot of value here, especially when compared to other naming firms that charge $10,000+. I'd really appreciate any questions or feedback. Thanks!

Visit product View on Hacker NewsApr 17, 2012

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

78%78% 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 NewsStrong engagement from HN community · Strong signals: ide, 000, io · Missing: https docs, excited, just released

73%73% 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 HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

54%54% 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

34%34% 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

12%12% 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.

Incorrect prediction on native model

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