We just launched something we’ve been quietly building: Veda AI, now live inside our low-code platform, DronaHQ.
It’s an AI assistant that helps you build internal tools from a prompt or a screenshot.
You describe what you need, and it generates connected UI, logic, and data bindings, all editable inside the builder.
Some prompts we’ve been using internally:
It’s tailor-made for operational apps: admin panels, dashboards, CRUD tools, approval flows, internal utilities.
If you’ve ever spent hours just wiring up inputs and queries before getting to the “real” logic, this might save you a few cycles.
We’re live on Product Hunt today. Would love your feedback, ideas, or a quick upvote if it resonates:
👉 https://www.producthunt.com/products/dronahq?launch=veda-ai
The hardest thing about B2B is that you're often selling to someone who didn't budget for your category. They need the result you provide but never planned to pay for it.
The products that win here usually create a new budget line (by being categorically new) or steal from existing budget by making the ROI comparison obvious. Which of those are you trying to do?
This is a fascinating direction — AI copilots that generate apps from screenshots or prompts can definitely accelerate early experimentation.
The tricky part isn’t the build itself — it’s knowing which idea is worth building in the first place. From a validation lens, the real test for tools like this is whether they help you get to real user behavior signals fast (repeat use, workflow adoption, problem resolution).
Many prototype tools can generate an “app,” but the ones that matter are the ones that help you quickly observe user decisions or behavior change.
Curious — when you think about building with a screenshot-to-app AI, what early signal would you watch to decide this is more than a proof-of-concept and actually solving a real user problem?
Hey, i have something similar and that too free.