
Interactive demo, Basethread
AI assistant that answers team questions from shared context with sources.
@nav_ux · X
Get your whole team's AI on the same page.
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AI assistant that answers team questions from shared context with sources.
@nav_ux · X
Get your whole team's AI on the same page.

Record your screen with AI summaries to share team messages.
@edithproapp · X
Best screen recording and sharing tool for teams. Built-in video automation and workflows. Businesses can integrate it in their apps using our SDKs

Simple Kanban boards to organize your tasks and projects solo or with teams.
@uixsadiq · X
Convero is a simple, focused workspace that helps individuals and teams organize projects, tasks, and daily work without the clutter

AI coworker that integrates with existing team tools to automate reports, dashboards, and internal task management.
u/ForeignPiece4761 · Reddit
We rebuilt Luffy’s website — what should we improve, and what should we not change? I’m on the team behind Luffy. We’re building an AI coworker for teams of roughly 10–100 people that lives where the team already works (primarily Slack). The idea is not another chat box or a workflow builder. You give it an outcome, it learns the company context, works across tools, keeps going asynchronously, and only pulls a human in for decisions or approvals. It is also meant to be proactive: it notices

Platform with AI agents to help teams create, build, and deploy projects.
underdev1 · Product Hunt
Astra Motions AI agents that automate work, not just chat.

Manage academic conferences: submit and review papers, handle scheduling and registration.
@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

Finding reliable teammates who play when you do. Find players, build your squad, and play when it suits you.
@LudiqoApp · X

Streamline your construction projects with our comprehensive management platform. Built for construction professionals.
@devloperhs · X