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Estim8 – No-frills planning poker built on Phoenix LiveView

Hacker News

Estim8 – No-frills planning poker built on Phoenix LiveView

Hey HN. Recently me and my team found ourselves in need of a very basic planning poker service. Rather settling on existing solution (which is often either too complex, filled with ads or costly) I took a chance of trying out Phoenix LiveView in a real-world (if basic) scenario. Since this is my first Elixir project, source code is in need of a cleanup before being open-sourced. However the service itself is available and costs me almost nothing (shout out to fly.io for the free tier), it's essentially just $10/year for the domain. Give it a try and let me know what you think, feedback/suggestions appreciated.

Visit product View on Hacker NewsSep 28, 2023

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

68%68% 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 HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos

66%66% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, existing, io · Missing: https docs, excited, just released

54%54% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

49%49% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% 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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