Ch

Channel 6, a site to explore Vines. [nsfw]

Hacker News

Channel 6, a site to explore Vines. [nsfw]

Stick to viewing tags, because the "live" stream can have porn and other oddities. You can add a tag just by starting to type. Travel & Airplanes: http://ch6.co/#airplane+plane+travel+ Stoned people & 420 Easter: http://ch6.co/#420+420easter+stoned+weed+ Random SF Area stuff: http://ch6.co/#berkeley+san francisco+sf+ Pizza: http://ch6.co/#pizza The database is quite small at this time, just a couple days worth of vines.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
61%61% 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 HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
39%39% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
34%34% 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
21%21% 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
16%16% 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
8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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