Mo

Monitor Aftermarket Domain Listings

Hacker News

Monitor Aftermarket Domain Listings

Domain Watch emails you when a domain name is listed for sale on an aftermarket or its price drops. It's like camelcamelcamel.com for domain names. Currently supports the following "Buy It Now" aftermarkets: Afternic, Sedo, Spaceship SellerHub, Atom, Namecheap Market, Porkbun Marketplace, Gname. You can watch up to 3 domains for 60 days with the free plan. Support for auctions is coming soon. Why I made this: 1. To know where and when I could buy the domains that I wanted to buy, ASAP. 2. Empower other domain name buyers with marketplace awareness, data, and an improved shopping experience. 3. To make money one day. Feedback welcome and appreciated!

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
84%84% 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.
AppSumoStrong fit for a featured deal · Strong signals: soon · Missing: plus, platform, intuitive
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
49%49% 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 · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: email · Missing: mac, agents, macos
12%12% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: make money · Missing: web3, chat, crypto
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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