QX Labs – build agents, flows and grids that work across your tools

Name: QX Labs – build agents, flows and grids that work across your tools
Availability: InStock
Author: hackfather

by hackfather·Jul 9, 2026·2 points·2 comments

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AI Analysis

●●SolidBig BrainSlick

Grids run agents across spreadsheet rows in parallel—novel UI for batch automation.

Strengths

•Grids metaphor for parallel agent execution over rows is genuinely novel UX.
•Omnichannel memory lets WhatsApp agents recall Slack and email conversations.
•Built-in knowledge vaults index and sync internal data from SharePoint and uploads.

Weaknesses

•AI workflow platforms are extremely crowded with n8n, Zapier, Langflow, and ComfyUI.
•SaaS model competes against well-funded alternatives with larger integration ecosystems.

Post Description

Hey HN, I'm Jai. Wanted to share my work at QX.

QX Labs (qxlabs.com) lets you build composable AI agents that use your tools and are synced to your internal data. The platform has three primitives that can work together: Agents (chat-driven, works across Slack/WhatsApp/email, Teams coming soon), Flows (more complex workflows with triggers/guardrails that you can build with chat), and Grids (run your agents over thousands of rows in parallel, like a spreadsheet where every cell can run an agent, script or flow).

Some specifics:

- Built-in knowledge vaults that index and sync internal data (uploads, SharePoint, Granola, working on Google Drive).

- 1,000 tool/app integrations.

- Omnichannel memory - an agent that you're speaking to in WhatsApp can remember and look up a conversation you had earlier in Slack or over email.

- The usual agent harness stuff: scheduling, browser control, persistent workspace, sub-agents etc.

It's free to start with a fixed monthly credit allowance, then you can pay for higher usage. Would appreciate any feedback and happy to answer questions.