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ChannelyTV – turn YouTube videos into linear TV

Hacker News

ChannelyTV – turn YouTube videos into linear TV

I've created an app that allows you to turn any youtube playlist into a channel similar to how TV works - no controls, just continuous playback. It allows for sharing the channel with others, as well as exploring channels created by others. It enables me to come back home and put something on, without thinking too much about choosing what to watch, without sacrificing watching what I actually like - youtube videos. Main features: - create a channel from any youtube playlist - watch a channel with an embedded youtube video that automatically syncs and doesn't allow skipping - share the channel with others - switch channels similarly to a real TV - watch a random channel

Visit product View on Hacker NewsSep 30, 2025

Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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

68%68% 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.

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

61%61% 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 · Missing: https docs, excited, just released

48%48% predicted probability of success on Hacker News, 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, intuitive

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

37%37% 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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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