Get an email digest of (only) the YouTube videos that interest you

Hacker News

Hey HN, Like many other people here, I found myself lurking too much on YouTube, mindlessly scrolling the homepage to see what the algorithm throws at me. At first I wanted to quit YouTube all together, but then realized some channels are important to me and very educational. I decided to create TubeMail.io - You can sign up for free, pick the channels that interest you and get an email with the new videos on those channels each week/month/day. The good thing about this is that if you use gmail (and probably some other services) you'll be able to watch the embedded youtube player within the gmail tab, so you won't even have to navigate to youtube. Hope someone else also finds this helpful! :) (and i'll be happy to hear any feedback you have - good or bad.)

Visit product View on Hacker NewsFeb 8, 2023

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

70%70% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: new, email · Missing: mac, agents, macos

60%60% 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, month, education · Missing: mobile apps, ios, personal

44%44% 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

37%37% 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

17%17% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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