@johnnywestt · X

Multiplayer AI workspaces free for teams with a dozen agents already onboarded from all different models

avetiszakharyan · HN

BotsArgue – Google Meet for AI Agents

@Janivcohen · X

keeps all your travel plans, bookings, and emergency info in one clean space. ✈️ ​👉

u/UnitedTelevision2651 · Reddit

Claude Code is single-player. When I run a session, my teammate can't see the prompt I wrote, the diff it produced, or what it cost. We were working around that with screenshots and "hey, can you look at this" — a strange way to use a tool that's doing most of the typing. So we built Poly: a shared room where a whole team steers Claude Code together. Everything lands in one timeline. Prompts queue into it, and every reply, tool call and diff shows up there in front of the room. You can wa

gb2d_hn · HN

It was with the transience of valuable agent session dialogue in mind that I built https://www.agentkanban.io - A key feature is context capture in the tasks which you create on the board and then progress in agent sessions. Supported agents are currently Claude and Github CoPilot in VS Code. All of your context is captured in the task and can be reloaded into new agent sessions at any point in the future. Tool use is intentionally discarded because it is proprietary in nature and therefore brea

@suosimath · X

朋友做了一个 AI 团队协作的产品，试用之后感觉不错，推荐一下： 万推，有类似的 AI 协作产品推荐吗？

@UseeHamza · X

@thepioneerroom · X

Just launched The Pioneer Room 🚀 A community where builders, creators, and entrepreneurs find collaborators and work on real projects together. Post a project, join a team, build something real. Early members welcome — #buildinpublic #indiemaker #startup

@harryjwang · X

I've used many of the major conference systems. Plenty still have docs as an unsearchable static site — or worse, as PDFs that stopped tracking the product three versions ago. Somehow, still true in 2026. We took an AI-first path with instead. Our docs are generated from the codebase itself. A custom Claude Code skill writes each page and retakes the screenshots whenever a feature changes — so the docs don't drift from the product. Every page still gets reviewed by a human before it ships. Now you can talk to them, too. We just shipped "Ask AI" over our docs: This feature also turned out to be a nice teaching case for agentic RAG vs. classic RAG: • Classic RAG: chunk → embed → vector DB → retrieve once, by fixed rules • Agentic RAG: hand the model a search tool and let it drive — write a query, read the results, rewrite, retry At more than 100 pages, still no vector database needed. And every answer cites the exact page it came from. #Age

@1T31062175 · X

@RunXItApp · X

u/Melodic-Living4805 · Reddit

Roast my Agentic Platform Been building this platform on the side for about a year would love to hear if the messaging is clear and what your first impressions are. Are you curious ? confused . impressed etc ? https://pindown.ai/ submitted by /u/Melodic-Living4805 to r/microsaas [link] [comments]