See when YouTubers change their titles and thumbnails

Hacker News

If you make YouTube content or watch a lot of YouTube, you've probably realized that the success of a video heavily depends on it's packaged. Because if people aren't clicking on your video, they're not watching it. The only problem is that YouTube doesn't show you if changing your title or thumbnail makes a big difference. There's no way to track old titles or thumbnails, or when they changed. So I made this simple chrome extension which allows you to see when you or other YouTube creators change their titles and thumbnails. You can now see how big creators like MrBeast and Airrack A/B test their packaging, and inspect how it affects views. It works by anonymously crowd-sourcing view, title, and thumbnail data from other users who've installed the chrome extension, whenever they visit a YouTube video. No login needed. I hope you find it insightful!

Visit product View on Hacker NewsJan 30, 2023

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

55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

37%37% 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, podcasting

34%34% 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 released

30%30% 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

18%18% 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.

Incorrect prediction on native model

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