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To create fun for our remote colleagues, we built moochee

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To create fun for our remote colleagues, we built moochee

Moochee is an interactive quiz game for teams. One person starts a game on Mobile/PC as host, the other people can join by scanning the QR code with mobile camera as players. We can easily supporting 100+ people playing in one game. It was built by two of us during pandemic. We have the need to run online quiz game but the commercial solution like Kahoot! is too pricy and only support 20-50 players in their affordable plans. There are 2 options to experience it: - Try Out[1]: no log in required, you can host/play existing fun quizzes and create public quizzes - Sign In[2]: log in with gmail, and then you can create private quizzes. [1]: https://moochee-app.fly.dev/tryout [2]: https://moochee-app.fly.dev [3]: website: https://moochee.fly.dev Any feedback is welcome ask.moochee@gmail.com

Visit productView on Hacker NewsJun 5, 2022
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Actual performance

2points
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
88%88% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: code · Missing: mac, agents, macos
29%29% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
22%22% 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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