
PromptQL
A multiplayer AI agent that builds shared team context from work.

Product memo
PromptQL targets teams struggling with fragmented knowledge and unreliable AI. By enabling multiplayer AI threads and automatically capturing context from work, it creates a shared, compounding knowledge base. This contrasts with traditional wikis or individual AI chats, offering a more integrated and trustworthy AI workflow for complex data and decision-making.
- For who
- Teams collaborating on AI tasks
- Solves what
- Maintaining shared context and knowledge for AI agents
- Multiplayer AI threads
- Context compounding from corrections
- Source citations for AI output
Market demand
PromptQL keyword demand
5 keywords
SimilarWeb keyword snapshot · directional estimate.
In their own words
Maintaining context is the second job nobody wants.
So PromptQL does it. It's a multiplayer AI agent — think Claude or ChatGPT, but with shared threads and a shared brain. Point it at the context you already have. Correct it once and it sticks — for everyone.
PromptQL turns the context you generate into suggested edits
Operator & company
Operators
5 people
Maker · Source-backed
Maker · Source-backed
Maker · Source-backed
Maker · Source-backed
Company
- Team
VC / larger team
Operating model
- Business model
Usage Based
- Platform
Web app
- Audience
General
Product channels
Builder strategy
- Strategy Type
- Wedge Expand
- Stage
- Vc Growth
- Effort
- Small Team
About PromptQL Expand
PromptQL is a multiplayer AI agent designed to solve the problem of fragmented team knowledge. Unlike traditional AI tools or static wikis, PromptQL integrates directly into team workflows, allowing users to correct AI outputs once and have those corrections applied universally.
This creates a compounding knowledge base, turning everyday work into teachable skills. The platform emphasizes transparency with source citations and audit trails, ensuring AI is reliable and secure across diverse data systems.
Built by the team behind Hasura, PromptQL aims to make AI a trusted partner in decision-making and task execution for teams.
Niche context
Adjacent niches
Competitive context
5 peers · Same primary niche · Radar benchmark · PromptQL #4228.
Commercial cues
- Model
- usage based
- Free tier
- Yes
- Trial
- Available
Pricing strategy
- • Free credits incentivize initial adoption and team onboarding
- • Introductory pricing lowers the barrier for OLU adoption
- • Free Start free tier lowers testing friction.
Tech stack
Source evidence
- Category
- Business
- Developer
- Hasura, Inc.
- Download
- Free download
- Current version
- 1.22.0
- Store rating
- 5 from 11 App Store ratings
Latest observed release
v1.22.0 · Jul 16, 2026
General bug fixes and improvements
Evidence sources

