Vi

Video platform prototype

Hacker News

Video platform prototype

Hi Everyone, So I’ve been messing around with the idea of building a video platform for some time now and decided to put together a prototype. I also applied to YC S12 for it too. So this is a video content network where people can create pages and showcase their videos as if they were building a dedicated website for it. Currently the videos are synched with the users YouTube account for convenience. I’ve been working at it for about a week now and am pleased with the way it’s turned out. Obviously it’s very early stages and there’s a lot more to be developed for it, but as the saying goes- ‘stay focused, keep shipping’. Here’s an example page – http://www.corsvi.com/digitaltakestudios I don’t know how many visitor of HN are content creators in the sense of having uploaded videos to some network, but if you are or know someone who is, I’d greatly appreciate if you could test it out / share it and provide feedback. Thanks http://www.corsvi.com

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
70%70% 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: ios · Missing: supports, reddit linkedin, podcasting
59%59% 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
48%48% 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 · Strong signals: ios, video, users · Missing: mobile apps, personal, entrepreneurs
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
40%40% 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
15%15% 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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