PromptQL

CEO @promptql - Maintaining shared context is a second job nobody wants.

PromptQL is a spin-off from Hasura pitched as an agentic workspace that replaces the ambient chatter of Slack with a system where humans and AI agents share the same context. The product connects to sources like chat, code, and meeting recordings, then builds a persistent map of what teams have discussed and decided so agents can act on it. In the launch demo, a project management agent traces a blocked engineer's work across pull requests, threads, and meetings, finds the missing copy and design assets, pings the right teammate, and orchestrates other tools to unblock the task without the founder relaying messages by hand. The launch matters now because agent tooling is shifting from single prompts to long-running work that needs organizational memory, and PromptQL is betting that the memory layer belongs in the workspace itself rather than inside individual bots. The pitch to founders and operators is a stack that captures process context as it happens, reuses "skills" learned from past work (like a Salesforce integration built by a senior engineer), and hands finished drafts back for human review before shipping. The launch tweet claims customers including Instacart, McDonald's, and Cisco, and the team is giving away a bundle of prebuilt skills and agents to people who reply to the announcement. PromptQL is led by Tanmai Gopal, co-founder and CEO, who previously led the creation of the Hasura GraphQL Engine , alongside co-founder Rajoshi Ghosh . The company grew out of Hasura's work on data access for AI systems and is based in San Francisco, with the founding team drawing on the same background that took Hasura's open-source engine into wide enterprise use.

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