Le
Leia – a CLI to oneshot playlists onto Yoto MYO cards
Hacker NewsLeia – a CLI to oneshot playlists onto Yoto MYO cards
Might be useful for anyone with a Yoto and eager kids. Simple cli and agent skill to go from a audio/video playlist url (bulk loading) to a Yoto MYO card. Yt-dlp to download media and the yoto dev api to upload audio to your MYO account. Useful for loading whole seasons or series in one go. Handles downloading, organising chapters, writing titles, dedupes, artwork/icons, and managing/fitting card limits. Runs locally. Works exactly where you're thinking.
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3points
Did not reach leaderboard
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Product HuntOn track for Day 1 leaderboard · Strong signals: agent · Missing: mac, agents, macos65%65% 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.
TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting36%36% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released23%23% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: audio · Missing: web3, chat, crypto16%16% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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