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Venetia's Vintage
TrustMRRWe sell preowned womens, mens, and kids apparel - as well as used home goods and accessories.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting59%59% 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.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto55%55% predicted probability of success on BetaList, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released48%48% 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, personal44%44% predicted probability of success on TrustMRR, 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, intuitive25%25% 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, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
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Indie Hackerscommitment-full-timeused refrigerators30%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-projectused washer and dryer sets43%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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The easiest way to sell downloadable goods online56%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 News2