Talkyard, open-source forum software. StackOverflow Reddit Slack hybrid

Hacker News

Chat "demo": https://forum.talkyard.io/-31/support-chat Q&A demo: https://insightful.demo.talkyard.io/-6/asking-for-help-in-it... If you want to self-host, I'd love feedback on the new installation instructions! Installation repo: https://github.com/debiki/talkyard-prod-one/tree/ty-prod-one... — upcoming new version (feedback welcome). Docker Compose on Debian/Ubuntu. Source code: https://github.com/debiki/talkyard , AGPL. React, Scala, Postgres. Biz model: SaaS + Enterprise edition. Backstory: Inspired by angry people saying silly things in debate programs on Swedish TV. I thought they needed time to think, before they spoke. But they couldn't stay in the TV studio for hours and days. They needed a place online where they could share their thoughts, later when done thinking. There wasn't any good software for this, so I started coding. (This was long ago.) No investors (instead, independent, based out of Europe/Sweden). Hand coded.

Visit product View on Hacker NewsDec 28, 2025

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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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

90%90% 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: model, slack, dock · Missing: mac, agents, macos

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

64%64% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

17%17% 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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