Verdent 2.0 - Your AI Technical Cofounder
by•
Verdent is your AI technical cofounder for turning ideas into running businesses. Tell it what you want to build in plain words, and it plans the work, drives execution, and delivers real product progress using your project context. Unlike most code generation tools, Verdent moves the entire product forward end to end, remembers your project, improves over time, and keeps working even when you're offline.



Replies
Coolest launch of the day but "AI technical cofounder” is a strong claim. What responsibilities do you think should never be delegated to Verdent?
Verdent
@lak7 Hey Lakshay, great question! We think of Verdent as the technical cofounder, not the decision maker. You are still responsible for product direction, priorities, and the key tradeoffs. What to build and why it matters should always come from you. Verdent helps with everything after that. Turning your decisions into actual progress and keeping the work moving.
Verdent
Hi Product Hunt 👋 I’m Adrian, cofounder of Verdent.
With most AI coding tools, you are still acting as the PM, engineer, QA, and ops. You keep switching contexts, checking every step, and re explaining things every time. Instead of building a business, you end up managing the process. Most tools help you prototype. Verdent is built to help you actually ship.
Stop wearing every hat
Say “I need a booking page with time slots and payments.” Manager handles the planning, implementation, and testing. You just decide what to build next.
Stop managing every step
Give it a goal and come back to something that works.
Stop repeating yourself
Manager keeps track of your project, your standards, and how you like things done. It gets better the more you use it.
Stop being tied to your desk
Send it a message from your phone. It keeps working while you are away.
Our most active users are solo founders shipping features daily without writing code.
Last launch was about coding with AI.
This one is about helping builders actually run and ship their business.
Try it free 🙌
Verdent
Hey all, we have integrated Anthropic's latest model Claude Opus 4.7 already! Excited for everyone to try it in Verdent:)
Looks exciting, couple questions though. When Verdent is "working even when you're offline", do you mean it is running agents on my infrastructure, or cloud-side on Verdent's? Curious how you handle context limits across long async runs.
Verdent
@vayvala Hi Michael, it's still running on ur infrastructure! We've designed auto context compaction when approaching context limit, as well as agent memory system to share context across sessions.
Verdent
Does it maintain shared context across agents or does each run independently?
Verdent
@aanchal_dahiya Not completely independent. Agents can pull in context from other agents via retrieval and use it in their own run. The manager can also carry over key context between tasks, so there’s a shared memory layer when it’s useful, without forcing every agent to always share the full context.
That's amazing then
Dim Notes
The longer a project runs, the more I notice the benefit. Verdent starts to fit the project better instead of making me restate everything.
LIVE: wtf are agents buying?
One thing I really like is that Verdent helps me stay focused on what I am trying to build, instead of getting lost in the process.
Verdent
@feiyou_guo Awesome! Glad u like it!
Sounds good! Does it also figure out nuances and fix em while building features or just suggests what to do?
Verdent
@udaii It’ll often fix those things along the way. The manager takes care of a lot of the deterministic, obvious work for you, but when it’s confused or uncertain, it’ll ask for input instead of guessing.
Tooling Studio
We’ve been thinking a lot about how to reduce context switching while building. Even small interruptions break flow quickly. This takes it a step further by trying to carry the work forward in the background. Interesting direction. Keen to see how it plays out with real usage.
Verdent
@nick_kramer Appreciate that — totally agree. Reducing context switching is a big part of the motivation here, so we’re excited to see how it holds up in real usage too.