14 years old created WatchMingle

Hacker News

My 14-year-old brother just created and launched WatchMingle ( https://watchmingle.com/ ) and I'm super proud of him!! . He asked me to share it with you and hope to receive feedback about it! (you can tell me or directly reach him at watchmingle@gmail.com) "WatchMingle is a website where you can watch movies with others worldwide.You can chat with them while watching movies. It's just like a cinema but on a website. Who knows? You can find other people with the same interest in movies as you! " Currently, there are only free movies embedded on Youtube, so he hopes that he will be able to find someone who can help him buy licenses for more movies/collaborate with other streaming services. He truly believes that a lot of time, it's not only about the movie, but the discussion when watching it that is really fun. If you do have a ProductHunt account, it would be really great if you could support him and upvote WatchMingle at https://lnkd.in/gxjg9KJW !

Visit product View on Hacker NewsJul 14, 2023

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1points

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Did not reach leaderboard

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

77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

70%70% predicted probability of success on Indie Hackers, 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.

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

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

28%28% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: chat, collaborate · Missing: web3, crypto, cryptocurrency

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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