I made something you haven't seen 10 times already

Hacker News

It has: War Alliances Presidents Voting for community leaders No users and much more... I made this because I'm terminally online and I'm hyper interested in online communities, how they function, how they evolve and this is basically my bet in the direction that it's all going in. That bet is that online communities will evolve to require much stronger tools to enable mass collaboration, democratically elected leaders/moderators and the war thing is just for fun.

Visit product View on Hacker NewsOct 10, 2022

Share card

Actual performance

5points

6comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

48%48% predicted probability of success on AppSumo, 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

46%46% 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 HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

30%30% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

11%11% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

The Probability Times39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The Probability Times

Hacker News20

How many more times will you see your mother?40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How many more times will you see your mother?

Hacker News1

NotionExtensions52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your Notion workspace, 10 times better.

Indie Hackerscommitment-full-time

TimeCheck22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find times when everyone is free

Indie Hackers1b2b

BroadBoard Times Square 🗽🌟46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get your product launch featured in Times Square 🗽🌟

Indie Hackers1advertising

Find the best times to commute42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Find the best times to commute

Hacker News3

Generate never-before-seen storyboards for Rick and Morty episodes47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generate never-before-seen storyboards for Rick and Morty episodes

Hacker News20

Get featured on a famous billboard in Times Square with 1 click55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get featured on a famous billboard in Times Square with 1 click

Hacker News3

The Hamburg Times39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Manage Your Own Newspaper

Product Hunt+20

It's better to call Java drawImage() many times than once55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

It's better to call Java drawImage() many times than once

Hacker News2

Browse all products Analyze your launch