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One more Planning Poker tool (OSS)

Hacker News

One more Planning Poker tool (OSS)

Hey HN, in the last few weeks me and my team were looking for a planning poker tool with the following features: - Authless - Clean interface - Simple Flow - Anonymous Comments - A way to separate votes and comments per topic/ticket Unfortunately we couldn't find a free $ tool with those features. So i took advantage of it and started doing something on my own to play around with go and websockets. It is open source and the code is available at: (Nothing too fancy really) https://github.com/zebaroni/scrumbluff So you are welcome to open PR with new features or fork it to add your own team business rules... My plan is to leave it free of charges since im taking advantage of fly.io free tier and i don't mind getting a cheap vps if it scales (which is not my objective). Hope it can help you like it helped my team.

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: open source, io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: started, para · Missing: supports, reddit linkedin, podcasting
50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, code, open · Missing: mac, agents, macos
40%40% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way, para · Missing: mobile apps, ios, personal
40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
39%39% 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.

Incorrect prediction on native model

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