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Show your domains and get buyers message you directly

Hacker News

Show your domains and get buyers message you directly

I built a small tool for domain owners who just want a clean self-hosted-style “for sale” page and prefer handling transactions themselves (choosing an escrow themselves, negotiating etc.). You add a domain, verify ownership via redirect, modify price (5 LLMs appraise your domain for free, you might set a discount) and contact details, and get a simple sale page, your unused domain now redirects to. Buyers contact you DIRECTLY. No signin walls. You keep 100% of your deal, a kind of self-hosted handle-everything-yourself fashion Also you can share a link to your profile page with all your listed domains, like a portfolio showcase or a domain stall The idea is minimal infrastructure for direct P2P domain sales. I'm currently working on Whois/RDAP stuff to display expiration dates, could be very convenient in the future to get notified about expiration dates Example page: https://d.omain.co/d/startup.broker Happy to answer questions and would appreciate feedback.

Visit product View on Hacker NewsFeb 26, 2026

Actual performance

1points

2comments

Did not reach leaderboard

Launch Intel predictions

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

68%68% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% predicted probability of success on TrustMRR, 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

24%24% 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

15%15% 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.

Correct prediction on native model

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