Launched on PH today - Agentic platform without any infra headaches. Happy to support yours too.
We built the DronaHQ Agentic Platform. PH link:
https://www.producthunt.com/products/dronahq/launches/dronahq-agentic-platform
Short version: it lets ops and business teams build AI agents for real workflows without any AI infra setup. Think invoice approvals, lead follow-ups, reimbursement flows, CX ticket handling, data cleanup. Stuff that sits in someone's Notion doc labeled 'automate this someday.'
The longer version: I kept watching teams spend weeks stitching together LLMs, APIs, and brittle automations just to get a basic approval flow running. Or they'd buy an AI tool that handled one thing but couldn't talk to their existing stack. We built DronaHQ Agentic to cut that out entirely. You describe the workflow, connect your tools, and the agent runs it. No wrangling.
We've had teams use it for HR ops, customer support escalations, e-commerce order handling, finance workflows. It works across a pretty wide range of stacks.
If you've launched today or recently, drop your link below. I'll go through every one and give real feedback, not just a click-upvote. And if you're curious whether DronaHQ can handle something specific, ask away in the comments. Happy to dig into it.
Good luck to everyone launching today.
The "automate this someday" Notion doc problem is real and massively underserved. Most ops teams have a graveyard of automation ideas that never got prioritized because the technical bar to implement them was too high.
The key question I'd have for enterprise buyers: what does the governance and audit layer look like? Invoice approvals and reimbursement flows touching financial data need trails, approval checkpoints, and the ability to pause or roll back. The automation itself is almost the easy part - it is the accountability layer that determines whether ops leadership will actually trust it in production.
How does DronaHQ handle human-in-the-loop steps for high-stakes actions? Is that configurable per workflow?
We’ve built it with an enterprise-first mindset. Every action taken by an agent is logged in a centralised audit trail. You can see exactly what the LLM 'reasoned,' which API was called, and what the payload was. It’s not a black box; it’s a transparent execution log.
Human-in-the-Loop is actually a core feature rather than an afterthought. You can configure 'Checkpoints' for any high-stakes action (like a payment or a public-facing email).