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The Point Poker – A Free, Gamified Online Planning Poker Tool

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The Point Poker – A Free, Gamified Online Planning Poker Tool

I built *The Point Poker* ( https://www.thepointpoker.com/ ), a free web app to make estimating efforts in Agile teams more engaging. It takes the standard planning poker method (Fibonacci) and adds *gamification*: * Teams can use custom cards with unique animations and styles. * Users gain experience and level up as they participate in sessions. * Provides real-time collaboration for up to 8 participants per room. The app is entirely free, currently in beta, and open for testing. I'm looking for feedback on the real-time experience and the gamified elements. The current limits for free accounts are 1-3 sessions per day and a maximum of 8 participants. Feel free to jump in and start a session with your team!

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Actual performance

2points
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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
52%52% 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, open · Missing: mac, agents, macos
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
40%40% 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
25%25% 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 · Missing: arr, mrr, revenue
14%14% 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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