ReelComment My Little app for better youtube comment

Hacker News

I'm delighted to share my latest little project just in time after I started adopting lean startup approach. Been working with a few friends on and off for the past couple of months, it's awesome to "launch" it under the name "reelcomment", in that it is about better video comment, markup for youtube video, as I feel it's getting messier and harder to find videos on youtube. I'd love to have a place to store my favorite place under different categories, quickly find the key moments within each video, and engage in conversation with friends and people who care. This is probably less than what a MVP should be, but we are iterating it as we go. Please check it out and let me know your feedback, you're always awesome - http://reelcomment.com

Visit product View on Hacker NewsMay 10, 2013

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Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video, month, way · 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

36%36% 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

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

23%23% 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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