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modelARch
Stop fixing code in Lovable. Build scalable apps instead.
modelARch turns your requirements into an evolving model that becomes the source of truth. Preview and refine your entire application before generating it deterministically. When things change, evolve the model, dispose of the code, and regenerate, at no additional code cost.
AI app builders made it incredibly fast to start building software.
But as applications grow, so do the roles, permissions, workflows, business rules, and dependencies between them.
With prompt-driven development, every change can mean another generation, another correction, and another attempt to keep everything consistent.
We think the problem is simple: you shouldn't have to keep fixing generated code. You should change the system that defines it.
That's why we built modelARch.
🧠 Model first. Generate later.
With modelARch, AI helps you turn natural-language requirements into an explicit model of your entire application: data, relationships, roles, permissions, workflows, rules, and behavior.
Something changes?
Change the model, dispose of the code, and regenerate it.
The model remains the source of truth.
👀 Build the whole app before buying the code
You can model your application from end to end, preview it across desktop, tablet, and mobile, change it, and validate it before purchasing the generated code.
Your subscription gives you access to the modeling environment.
No credits. No pay-per-prompt.
Keep refining until you're satisfied.
Only then do you pay for the code.
⚙️ Then modelARch generates deterministically
AI helps interpret what you want to build.
But the final application isn't generated probabilistically from another prompt.
Once the model is ready, modelARch generates the full-stack application deterministically from that model.
AI interprets. The model defines. modelARch generates.
🔄 Evolve the model. Regenerate the software.
This is the bigger idea behind modelARch.
We don't think generated code should be something you continuously maintain. The model should be the durable artifact. The code should be disposable.
As your business changes, you evolve the model. The existing code can be discarded, and the entire application regenerated deterministically from its new state.
No patches. No accumulated prompt history. No trying to keep generated code in sync with what the business is supposed to do.
We maintain evolutionary models, not generated code.
The model evolves. The code is disposable. The software is regenerative.
And regeneration isn't another purchase: once you've generated your application, you can keep evolving the model and regenerating the software without paying for the code again.
🎯 Who is it for?
Founders, developers, agencies, and software teams building applications that are becoming too complex for endless prompting — especially systems with interconnected roles, permissions, workflows, and business rules.
If you've been building with Lovable, Base44, Bolt, or similar tools, we're particularly interested in hearing what you think.
Maybe the next step after vibe coding isn't better code generation. Maybe it's making generated code disposable.
About modelARch on Product Hunt
“Stop fixing code in Lovable. Build scalable apps instead.”
modelARch was submitted on Product Hunt and earned 32 upvotes and 17 comments, placing #25 on the daily leaderboard. modelARch turns your requirements into an evolving model that becomes the source of truth. Preview and refine your entire application before generating it deterministically. When things change, evolve the model, dispose of the code, and regenerate, at no additional code cost.
On the analytics side, modelARch competes within Developer Tools, Artificial Intelligence and No-Code — topics that collectively have 999.2k followers on Product Hunt. The dashboard above tracks how modelARch performed against the three products that launched closest to it on the same day.
Who hunted modelARch?
modelARch was hunted by Martin Herran. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of modelARch including community comment highlights and product details, visit the product overview.
Martin Herran
Hey Product Hunt 👋
AI app builders made it incredibly fast to start building software.
But as applications grow, so do the roles, permissions, workflows, business rules, and dependencies between them.
With prompt-driven development, every change can mean another generation, another correction, and another attempt to keep everything consistent.
We think the problem is simple: you shouldn't have to keep fixing generated code. You should change the system that defines it.
That's why we built modelARch.
🧠 Model first. Generate later.
With modelARch, AI helps you turn natural-language requirements into an explicit model of your entire application: data, relationships, roles, permissions, workflows, rules, and behavior.
Something changes?
Change the model, dispose of the code, and regenerate it.
The model remains the source of truth.
👀 Build the whole app before buying the code
You can model your application from end to end, preview it across desktop, tablet, and mobile, change it, and validate it before purchasing the generated code.
Your subscription gives you access to the modeling environment.
No credits. No pay-per-prompt.
Keep refining until you're satisfied.
Only then do you pay for the code.
⚙️ Then modelARch generates deterministically
AI helps interpret what you want to build.
But the final application isn't generated probabilistically from another prompt.
Once the model is ready, modelARch generates the full-stack application deterministically from that model.
AI interprets. The model defines. modelARch generates.
🔄 Evolve the model. Regenerate the software.
This is the bigger idea behind modelARch.
We don't think generated code should be something you continuously maintain. The model should be the durable artifact. The code should be disposable.
As your business changes, you evolve the model. The existing code can be discarded, and the entire application regenerated deterministically from its new state.
No patches. No accumulated prompt history. No trying to keep generated code in sync with what the business is supposed to do.
We maintain evolutionary models, not generated code.
The model evolves. The code is disposable. The software is regenerative.
And regeneration isn't another purchase: once you've generated your application, you can keep evolving the model and regenerating the software without paying for the code again.
🎯 Who is it for?
Founders, developers, agencies, and software teams building applications that are becoming too complex for endless prompting — especially systems with interconnected roles, permissions, workflows, and business rules.
If you've been building with Lovable, Base44, Bolt, or similar tools, we're particularly interested in hearing what you think.
Maybe the next step after vibe coding isn't better code generation. Maybe it's making generated code disposable.