BingeTheTube: binge YouTube channels from oldest to latest

Hacker News

Briefly, what the app does: 1. Points to a reverse playlist(an actual youtube playlist) for a channel. 2. Ability to skip to a position in playlist from beginning. 3. Request any new channel you would like to have a reverse playlist for ! Usage eg: - Using the above you can skip to say 100th video from begining in a channel (e.g CaseeyNeistat Vlog) and keep watching on youtube app (without going back to bingethetube.com). - Come back next day and resume watching from say video 120 without a lot of scrolling Useful if you like to follow a creators youtube journey or old Vlogs !

Visit product View on Hacker NewsDec 30, 2022

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

65%65% 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, using · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

45%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, intuitive

33%33% predicted probability of success on AppSumo, 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 released

32%32% 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

16%16% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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