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PromptQL
Multiplayer AI with shared context — a team AI agent that learns from corrections to maintain knowledge everyone can trust.
Available on Mac, Windows, iOS, AndroidUsed daily by a 70-person internal teamVertical solutions for FinServe, Healthcare, RetailActive community on r/PromptQLShared threads with automatic context capture
Opportunity score
55/100
A technically sophisticated solution with high retention potential and expansion paths, but faces intense competition and a difficult go‑to‑market challenge to get teams to adopt yet another tool.
Founder verdict
MAYBE
PromptQL is a technically thoughtful product that could become a team’s institutional memory, but the battle against free built‑in AI features in Slack and Teams is daunting.
What is PromptQL?
PromptQL is a multiplayer AI workspace that solves the 'context maintenance' problem inside teams. It connects to existing tools (Slack, docs, CRM, databases), surfaces answers, and — critically — allows any teammate to correct it inline. That correction becomes shared, cited knowledge the AI uses from then on, eliminating the decaying wiki problem. By embedding context capture into real work rather than relying on separate documentation chores, PromptQL aims to reduce meetings, tool-switching, and deadline drift. Currently launching with enterprise use cases in financial services, healthcare, and retail, it positions itself as an AI sidekick that makes teams faster and more confident.
Get the full PromptQL playbook
The complete reverse-engineering — what to copy, what to avoid, and exactly what to build instead.
- Full opportunity score across 8 dimensions
- The real problem & why customers pay
- Why it's winning — with evidence
- Complete business reverse-engineering
- Competitive advantages & moat analysis
- Weaknesses, risks & what to avoid
- Clone strategy — what to build instead
- Week-by-week MVP roadmap
- Recommended technical stack
- Founder verdict & highest-leverage move