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Turn articles to read into podcasts to listen

Hacker News

Turn articles to read into podcasts to listen

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Actual performance

9points
2comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
78%78% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
41%41% 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, revenue
20%20% 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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A+
A++ – Must-listen episodes from the best podcasts27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A++ – Must-listen episodes from the best podcasts

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Listen to articles as dialogues, storytelling, daily recaps (AI)21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Listen to articles as dialogues, storytelling, daily recaps (AI)

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I made this to listen to podcasts for Bootstrappers all in one place41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

I made this to listen to podcasts for Bootstrappers all in one place

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Save your podcasts, listen to them later38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Save your podcasts, listen to them later

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