Praxos – Multiplayer AI

Hacker News

Hey Hacker News! Lucas here, founder of Praxos (YC S24). Praxos is a team messaging platform for people and AI agents. It offers people and AI agents a place to talk and work together via a messaging platform that remembers the context around conversations. That context can then be used by the next person, AI agent, or even you, a week later. You can pick work back up without needing to get hold of another person to explain things again for you… or give you a refresher. A surprising amount of work exists only because one person knows something another person needs, or because we need to coordinate activities with another person. We believe that model sessions bring a new dimension to this problem. AI is multiplying the number of conversations any one person has at a given time. Think about it: for most people, the main entry point to using AI is messaging. So, you now have to add the number of conversations you have with AI tools like ChatGPT and Claude to all the other conversations you were having with your coworkers. Each of these conversations holds valuable bits of information that the others don't. But someone has to move the context from one place to the other... and that's you. Our business is making sure that context remains useful after the conversation where it was created has ended. We are an ideal fit for teams who frustrated by existing messaging platforms and their developer tooling. It works best for early-stage companies ranging from a solo founder to teams of 25 people. If you live between Slack, Claude, Codex, customer conversations, docs, and email… or relaying what you learn from one conversation to another is starting to get overwhelming, then Praxos is for you. --If you're a builder looking to try it on their own, we recommend running the following on your CLI: sh -c "$(curl -fsSL " https://app.mypraxos.com/claude-code/install.sh?$(date+%s) ")". That will run an installation agent on Claude Code. --If you instead would like to talk to a person to get guided setup, book a call with me at https://cal.com/lucas-urbisaia-u4ip5c/30min :)

Visit product View on Hacker NewsSep 21, 2026

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6points

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, claude · Missing: mac, macos, cursor

99%99% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

88%88% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

53%53% 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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

36%36% 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

25%25% 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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