Product Names
Indie HackersAvailable domains for product inspiration
I made Product Names to tweet out available names for product inspiration or new projects 🚀
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Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting32%32% predicted probability of success on Indie Hackers, 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, intuitive29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue17%17% 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, crypto11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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A searchable directory of available domain names
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Baby Name Generator that finds names via available domains – YC Hacks65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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A long list of available, attention-grabbing domain names 🙃
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Find available domains related to your keyword52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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Open database of available domains69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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Available two-letter domains55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
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