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Reduce distractions on YouTube and gain back your focus

Hacker News

Reduce distractions on YouTube and gain back your focus

Hey HN, This product (https://www.producthunt.com/posts/youtube-productivity-mode) is inspired from Indistractable by Nir Eyal. According to the book, one source of distraction are the external triggers that lead us to distracting activities and thus leave less time for things that we actually intend to do. YouTube is one such place on the internet where we often wander and get lost from the focus track that we plan to be on. No doubt YouTube is a great place to learn but it does have a lot of distracting content too. Taking cue from the book, we created YouTube Productivity Mode, with an objective to reduce the triggers. Switch YPM in “Productivity Mode” to blur all the thumbnails on YouTube so that the catchy and clickbaity thumbnails don’t grab your attention. So now if you get redirected to YouTube while working/studying, the recommended thumbnails won’t catch your eyes and you will hopefully switch back to your task again without losing your focus. We would love to hear about our product from you all. P.S. We made our project open-source. Play around and add something cool and valuable to it.

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
80%80% 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: open · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
35%35% 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
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
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.

Correct prediction on native model

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