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Quickly snag the perfect .COM domain for your next project

Hacker News

Quickly snag the perfect .COM domain for your next project

Dotcomsnag is a free domain discovery tool that allows you to search through 40k+ domain name alternatives to find that perfoect .COM domain for your next project Features: - Type in a word hit enter and you'll be instantly presented with thousands of domain name variations on that word! - Click on a domain name to check if it's available! - Magic auto-check! Automatically check all the domains on your screen as you scroll! (Unlock this feature by signing up for my Maker & Productivity Newsletter) - Maker & Productivity Tools Newsletter: I'll send you infrequent updates on some of my favorite recent launches related to maker & productivity tools. This will include some of my own tools that I'm working on. Unsubscribe any time!

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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
76%76% 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 · Missing: plus, platform, intuitive
53%53% 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
47%47% 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
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
30%30% 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 · 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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