Leela Kids, World's First Kids Only Podcast App

Hacker News

I am sure most parents will identify with the guilt of handing over phone to their kids who use it to watch videos etc. There are a lot of kids related podcasts but finding & subscribing to them & playing an episode based on your kids interest has been super painful. To alleviate that, we created World's First Kids Only Podcast App. HOW IT WORKS? Select the age category of your kid and topic of interest (e.g., Science, Stories, Animals, Dinosaurs, Space, Ocean etc.) and Leela finds the best audio content matching that age and topic. Just click and listen. Easy on Eyes and Great for Mind! DEMO VIDEO https://www.youtube.com/watch?v=-3BWmnV7QzE DOWNLOAD LINK http://apple.co/2twkrs5 PRICE Free and no in-app purchases AVAILABILITY Worldwide on App Store. Would love to get feedback from the community, Regards,

Visit product View on Hacker NewsJul 26, 2017

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting

87%87% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: apple · Missing: mac, agents, macos

57%57% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

17%17% 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, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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