Reggi.net your AI domain companion

Hacker News

Reggi.net is an AI-powered domain assistant that helps creators, entrepreneurs, and businesses find and register the perfect domain name in seconds. Just describe your idea — Reggi understands your concept, tone, and style — then instantly generates creative, brand-ready domain ideas with live availability checks. Built for startups, agencies, and dreamers alike, Reggi combines AI-driven brainstorming, real-time domain availability, and instant registration under one clean, modern interface. Domains registered through Reggi default to ns1.reggi.net / ns2.reggi.net, giving every customer a professional landing page and easy access to custom DNS management. Whether you’re launching your first business or building your tenth brand, Reggi makes naming simple, smart, and fun — all powered by the latest AI technology.

Visit product View on Hacker NewsOct 31, 2025

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Actual performance

2points

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.

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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

42%42% 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

38%38% predicted probability of success on Product Hunt, 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

25%25% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · 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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