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Domainy – Monitor domain names for availability

Hacker News

Domainy – Monitor domain names for availability

Domainy is a tool to get alerted on when the domain names you like and want are about to expire and also become available. https://www.domainy.io A few use cases - I'm monitoring all the other TLD domain names for which I would like to eventually acquire to protect brand names for the domain names that I already have (e.g. I have google.com and I want to make sure that I have google.abcde, google.edfg etc etc) - I also want to know when some of the domains that I would like will expire and possibly become available, so I can quickly buy them if I can. Just because a domain is expired, it doesn't mean it's available right away. But still, I'd like to keep my eye on them. - Sometimes, it's just super interesting to see when some high profile names are available through obsecure TLDs (e.g. twitter.beauty, twitter.accountant, twitter.dealer domain names are available. What would happen if I buy them and do something with it. Twitter will probably come after me, but hey, it's an interesting thought. Maybe they'll buy them off? I don't know. What other high profile names are available through other TLDs? cheers!

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google, way · Missing: mobile apps, ios, personal
36%36% 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
10%10% 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.

Correct prediction on native model

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