Domian.io – Find similar and misspelled domains to safeguard your brand

Hacker News

After having misspelled a domain and landed on a squatter’s site many times, I spent some time this year building domian.io to prevent this from happening again. It gives you a list of the most likely misspellings of a domain, their availability, and an easy way to register them - all in one simple tool. I built this with SvelteKit, Supabase, OpenAI, Resend, and Stripe using TypeScript and hosted it on Vercel. It was a really fun project and took some tinkering to get everything working together. Check it out and let me know what you think! PS. you can also access it through http://misspelled.domains

Visit product View on Hacker NewsDec 22, 2023

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Product HuntOn track for Day 1 leaderboard · Strong signals: stripe, openai, using · Missing: mac, agents, macos

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

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nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive

58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% 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

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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