Internet Warzone or Digital Democracy?

Hacker News

TLDR: Reddit but competitive I made PopResolve after experiencing the positive and fun side of fan wars, where two communities pretend to be against each other and the end result is, well... culture. The website lets you create or join a team and go to war or become allies with other teams. Every team votes for a president who takes control over the team's resources, functions and gets to decide which teams are enemies and which are allies. Regular elections for presidents are triggered by the point system. Future development may be aimed towards expanding the governmental structure of the teams. More details on how it works: https://popresolve.com/support No real world politics are allowed, we have enough of that everywhere else.

Visit product View on Hacker NewsJun 2, 2022

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

66%66% 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 · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

51%51% 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

42%42% 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

38%38% 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

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: real world · Missing: web3, chat, crypto

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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