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The Communal Plot – A Shared Coordinate Space to Express Opinions

Hacker News

The Communal Plot – A Shared Coordinate Space to Express Opinions

This is a daily data viz game where you can answer a pair of questions every day and see how how your response compares with the community's in real-time. You can get some cool analytics about your answer, share it with your friends, and even make your friends guess how you answered. It's built to be easy to use. There's no login required, so you just open the page on your phone or computer and tap on the grid. It's also built with privacy in mind. Because there's no login, everything is anonymized in the backend. And after the daily poll gets archived at midnight, all the responses for that day are aggregated on the backend. Your responses are stored locally on your browser. I hope you enjoy it and let me know if you have any feedback or hit any bugs!

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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: computer, open · Missing: mac, agents, macos
78%78% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
52%52% 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 · Missing: mobile apps, ios, personal
42%42% 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
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
38%38% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
18%18% 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.

Incorrect prediction on native model

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