Stop splitting team knowledge between Slack and everyone's private AI chats. PromptQL is multiplayer AI for teams: think Claude or ChatGPT in shared threads. Tag teammates to review, correct, and refine answers without losing the reasoning. Connect databases, SaaS apps, coding agents, and events. PromptQL captures tribal knowledge and suggests shared-brain updates so context compounds. Scopes and multi-user permissions keep the right context accessible to the right people.
I'm Tanmai, CEO/cofounder at PromptQL and excited to share the world's first AI native workspace with you. Thank you @kevin for hunting us today!
The team behind PromptQL is Hasura, and we ended up building PromptQL entirely by accident.
Here's the story:
Be us
Try to build AI that's accurate with data & tools
Realize that good context is the bottleneck as AI gets better
Realize that no one person in the team has all the required context
Build multiplayer AI (shared threads) so that people can work together in a shared AI thread and automatically capture context
Move our 70 people team out from Slack to "test the multiplayer experience" on desktop & mobile in Feb 2026
Things get f***ing weird
Get team-wide AI psychosis by having a single shared AI connected to everyone and everything
Realize that we built a Slack for the AI era
So now we don't do DMs or meetings, because the AI knows.
When I ask: "What's alex working on?", its able to look at Alex's work in the workspace and across other tools like slack or github (that is visible to me ofc) and gives me a sense of what's happening, what he's blocked on and how I can help him. I don't disturb Alex and I get an accurate status report. No meetings needed.
Or going further, I can do things that I don't know how to do myself:
When I ask "Help me build this integration for a customer", it uses skills and context from other engineers who've built and reviewed integrations before. Even if we don't explicitly maintain a shared skills repo, I'm suddenly as powerful as my entire team, not just my individual ability.
PromptQL is the first agentic workspace because the whole app is an AI:
PromptQL builds task-specific agents on the fly as users talk to each other. It builds connectors to databases, SaaS tools and internal APIs and learns skills on the go.
Other AI Slack clones (including Slack itself) allow humans and agents to talk to each other. But these agents have to be specifically built and added to the workspace, which we think is just a minor milestone in the path to AGI where AI builds the agents for you with the right security and context guardrails!
We think that tools like Slack are holding us back from doing the most important work that we need to do as teams. We need to be building shared context that we can then apply to the hundreds of tasks in parallel with AI. We need to work together in a way where humans are responsible for context and agents are responsible for execution.
Exclusively for the ProductHunt community, we're giving $1000 in tokens if you want to try PromptQL along with your team!
Please comment here if you're interested and tell us about your team. We'll set up a quick custom 15 minute onboarding for your team and unlock those credits for you that work across all our available models from Fable to Sol to Kimi-K3.
You can also sign up yourself and unlock free credits to play around with it yourself.
Congrats on shipping! Knowledge getting trapped in private AI chats is a real problem, and this is an interesting approach. Curious how you're handling security for enterprise teams.
This solves a problem many teams don't realize they have until knowledge starts getting fragmented. How easy is it to bring existing Slack conversations or documentation into @PromptQL ?
Congratulations on the launch team. Sounds like a great product. Can’t wait to try it out
We are a 5-member team and already feel the pain of not having a single source of truth. I can only imagine how much worse this would be in larger teams. Excited to try it out!
super excited for the launch! one of the most brilliant teams. we also use hasura in our stack and have been following them for a long while. congrats, can't wait to try it! :)
the correction/lock mechanism answer covers factual mistakes well, but what about genuine disagreement that isn't a mistake at all - two senior people with different but equally valid judgment calls on how something should work. does the shared thread surface that as visible tension (both views, both names attached) or does it end up flattening into whichever answer got approved first, making the other person's actual position invisible to everyone who reads it later?
how big does a company have to be to start feeling the value of @PromptQL ?? cc: @rajoshi_ghosh
The "shared-brain updates so context compounds" framing is different from other team AI tools. One thing I'd be curious about—when corrections and learning flow back into the context, how do you prevent authoritative corrections from overweighting domain expertise that was already in the system? Like, if someone corrects a nuance mid-thread, does it need peer review before it locks in, or is the cost of outdated shared context higher than the cost of wrong-but-quick updates?
What's a use case you think most people don't know PromptQL can support but is really helpful?
Congrats on the launch! I like the core bet: humans own context, agents do the work.
But Slack is a muscle memory at this point. How do you see that playing out? Is full migration the goal, or is the real win that team context becomes queryable and agents act on it, and chat just happens to be where it lives? Let's say that my team’s stuff lives in Notion, Google Drive, Jira, and Slack. What does week one look like? Do we move in fully, or does PromptQL read from those tools while we ease over?
Been a user of PromptQL and it's an amazing re-invention of collaboration!
I think this is genuinely one of the best apps I've seen so far. or at least dreaming about this kind of apps for while
where everything is in one place, and you can actually work with other people, without having to share documents back and forth. You just share the chat, and their agents keep working on their own tasks. That's genuinely amazing.
Oh wow!! 🤩
This is the coolest AI tool! It’s actually helping unblock me now that I can work faster. And I don’t feel like I’m losing context. It tells me what is happening in other parts of the company in real time. And I’m not gonna break someone else’s flow by pinging them.
Amazing 😻
@rajoshi_ghosh
the scopes/permissions part is the sharp edge - if someone corrects an answer in a restricted-scope thread, does that correction ever bleed into the shared-brain for people outside that scope, or does it stay siloed to who saw the original thread?
the 'tag teammates to review/correct without losing the reasoning' part is the actual hard problem, most team-AI tools just dump a shared chat log and call it collaboration. when someone corrects an answer mid-thread, does that correction get folded back into the shared-brain context for future questions or does it just live as a one-off reply in that thread?
About PromptQL on Product Hunt
“Multiplayer AI that replaces Slack”
PromptQL launched on Product Hunt on July 23rd, 2026 and earned 459 upvotes and 103 comments, earning #2 Product of the Day. Stop splitting team knowledge between Slack and everyone's private AI chats. PromptQL is multiplayer AI for teams: think Claude or ChatGPT in shared threads. Tag teammates to review, correct, and refine answers without losing the reasoning. Connect databases, SaaS apps, coding agents, and events. PromptQL captures tribal knowledge and suggests shared-brain updates so context compounds. Scopes and multi-user permissions keep the right context accessible to the right people.
PromptQL was featured in Productivity (656.8k followers), SaaS (43.3k followers), Artificial Intelligence (474.4k followers) and OpenAI Day (9 followers) on Product Hunt. Together, these topics include over 308.3k products, making this a competitive space to launch in.
Who hunted PromptQL?
PromptQL was hunted by Kevin William David. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how PromptQL stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kevin William David
I'm Tanmai, CEO/cofounder at PromptQL and excited to share the world's first AI native workspace with you. Thank you @kevin for hunting us today!
The team behind PromptQL is Hasura, and we ended up building PromptQL entirely by accident.
Here's the story:
Be us
Try to build AI that's accurate with data & tools
Realize that good context is the bottleneck as AI gets better
Realize that no one person in the team has all the required context
Build multiplayer AI (shared threads) so that people can work together in a shared AI thread and automatically capture context
Move our 70 people team out from Slack to "test the multiplayer experience" on desktop & mobile in Feb 2026
Things get f***ing weird
Get team-wide AI psychosis by having a single shared AI connected to everyone and everything
Realize that we built a Slack for the AI era
So now we don't do DMs or meetings, because the AI knows.
When I ask: "What's alex working on?", its able to look at Alex's work in the workspace and across other tools like slack or github (that is visible to me ofc) and gives me a sense of what's happening, what he's blocked on and how I can help him. I don't disturb Alex and I get an accurate status report. No meetings needed.
Or going further, I can do things that I don't know how to do myself:
When I ask "Help me build this integration for a customer", it uses skills and context from other engineers who've built and reviewed integrations before. Even if we don't explicitly maintain a shared skills repo, I'm suddenly as powerful as my entire team, not just my individual ability.
PromptQL is the first agentic workspace because the whole app is an AI:
PromptQL builds task-specific agents on the fly as users talk to each other. It builds connectors to databases, SaaS tools and internal APIs and learns skills on the go.
Other AI Slack clones (including Slack itself) allow humans and agents to talk to each other. But these agents have to be specifically built and added to the workspace, which we think is just a minor milestone in the path to AGI where AI builds the agents for you with the right security and context guardrails!
We think that tools like Slack are holding us back from doing the most important work that we need to do as teams. We need to be building shared context that we can then apply to the hundreds of tasks in parallel with AI. We need to work together in a way where humans are responsible for context and agents are responsible for execution.
Exclusively for the ProductHunt community, we're giving $1000 in tokens if you want to try PromptQL along with your team!
Please comment here if you're interested and tell us about your team. We'll set up a quick custom 15 minute onboarding for your team and unlock those credits for you that work across all our available models from Fable to Sol to Kimi-K3.
You can also sign up yourself and unlock free credits to play around with it yourself.