Bored People Chat – Anonymous global chat room

Hacker News

Bored People Chat is a minimal, anonymous global chat room inspired by the old internet that doesn't have sign-up, ads or bots. With a goal of cleaning up the bad reputation of previous anonymous chats, it’s a tiny website that has a single public global room. I purposefully didn't implement the ability to DM in here, and added moderation and filtering for anything that looks like personal information. Only a global public room exist where there are eyes of others. I built this because I personally wanted a space where I can always come back to, to meet and talk with strangers but also feel safe. It is mostly from nostalgia from old chat rooms and MMORPGs where I was able to make real deep connections online with people I haven't really seen faces of. I already see a few people who regularly start coming back because they feel lonely, bored or just curious. Some might've just moved to a new place, or have other reasons why it is difficult to meet people in real life. It has really meant a lot to be able to provide a small space like this for people to gather, feel the presence of others and talk about their life. My main focus is on the safety and moderation so I can continue to provide a safe space to talk. I believe this is achievable with help of modern AI agents that can automate the flagged chats and repeat offenders. I’d really appreciate some genuine feedback. Thanks.

Visit product View on Hacker NewsJun 30, 2026

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Actual performance

6points

17comments

Did not reach leaderboard

Launch Intel predictions

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

77%77% 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: agents, agent, new · Missing: mac, macos, cursor

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs

62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

60%60% 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

32%32% 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, real life · 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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