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The Comfy Web – Alternative YouTube Experience

Hacker News

The Comfy Web – Alternative YouTube Experience

Hi HN, I saw discussion around YouTube removing the "sort by oldest" option and thought you all might appreciate this project. Months ago I created The Comfy Web because I wanted a more minimalistic YT experience. My goal was to roughly replicate the old-school TV experience so I created a website where you can turn any YouTube channel or playlist into an endlessly playing stream of content. You can sort by oldest, newest, and random. Just like a real TV channel the content is synchronized for all viewers too. :) I've now used TCW for many hours and I really love it. No more distractions, pointless redesigns, or feature removals. Happy to answer any questions.

Visit productView on Hacker NewsNov 11, 2022
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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
86%86% 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.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
36%36% 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, revenue
12%12% 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
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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