AI

AI Domain Genius

Hacker News

AI Domain Genius

Hi HN - Last month I attended MicroConf in Denver and met domain investor Andrew Allemann of Domain Name Wire. I know nothing really about that space, but of course the topic of AI came up. He mentioned that he’s tried a lot of domain name generators, and very few provided decent results, and the ones that did (using AI) didn’t show if the domains were available. I thought this problem could be solved pretty easily by combining the ChatGPT API and GoDaddy API into a single, easy to use app. A few weekends later, AI Domain Genius was born: https://www.aidomaingenius.com (And yes, the app named itself!) I’d love to get people’s feedback, in general, and specifically: 1. Do you find it easy and intuitive to use? 2. Does it generate any domain names where you think, “Yeah, I could see buying that domain for my project / business / website”?

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Actual performance

5points
3comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
90%90% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: chatgpt, single, using · Missing: mac, agents, macos
57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
55%55% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews
43%43% 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
15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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