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One Million Emojis

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One Million Emojis

Hey HN, I saw the one million checkboxes post the other day and thought it was really cool. I wanted to work on a fun project with the same sort of style, some type of collaborative game with websockets, and thought of a funny idea. What if we had one million emojis? Genius idea, I know. There are some interesting differences. You can’t change an emoji once it’s selected, so it’s permanently yours! The grid stays the same no matter what, so by the end of this we’ll have some type of giant square flag of emojis if it gets filled out. Please don’t make anything horrible Full credit goes to eieio for making one million checkboxes and inspiring this project! Check out their stuff here: https://eieio.games/ I make things and also talk about them sometimes: https://torresjuan.com/ Juan

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
63%63% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
54%54% predicted probability of success on TrustMRR, 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
50%50% 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
39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
32%32% 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
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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