Grok by SpaceXAI for Word
Product HuntDraft, restructure & tighten wording from panel inside Word
Share cardActual performance
208upvotes
12comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
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BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto82%82% predicted probability of success on BetaList, 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 · Strong signals: grok · Missing: mac, agents, macos48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released41%41% 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, personal38%38% 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, podcasting26%26% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Incorrect prediction on native model
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EtymologyExplorer – word origin trees52%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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Where I get the last word33%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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Hacker News8Wo
Word Slicer42%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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Word Snake33%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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Hacker News8Neighbors & Enemies79%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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Indie Hackerscommitment-side-projectSpießig Or Not18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Demistifying the german word spießig
Indie Hackerscommitment-side-project