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Peaceterms – Chat to people you disagree with

Hacker News

Peaceterms – Chat to people you disagree with

Hi all, I'd like to get some feedback on my side project - https://www.peaceterms.com It's a way to chat with people you disagree with in order to (hopefully) learn to understand them better. It's based on the idea of the talking stick - https://en.wikipedia.org/wiki/Talking_stick . You can add any opinion you like, and take it in turns to express your point of view. If it works/gets any traction, in the future I'd like to add a way to share links so people you know can chat directly with you. All feedback and advice is gratefully received. It's built with Elixir/Phoenix. Many thanks for your time! https://www.peaceterms.com

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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
67%67% 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.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
62%62% 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 HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos
52%52% 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 · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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