We support flexible compute sizing in Bult.ai so apps only use what they actually need.

XS to XL sizes cover everything from prototypes to databases, with per-minute billing and the ability to resize anytime from the Canvas UI.
Compute options:
XS: 0.1 vCPU, 256 MB RAM, $2.7 per month. Ideal for prototypes
S: 0.25 vCPU, 512 MB RAM, $5.4 per month. Suitable for small apps
M: 0.5 vCPU, 1 GB RAM, $12 per month. Designed for web applications
L: 1 vCPU, 2 GB RAM, $24 per month. A good fit for APIs
XL: 2 vCPU, 4 GB RAM, $48 per month. Optimized for databases

Custom sizes are also available for advanced workloads available on request.
Happy to answer questions about sizing or use cases.

Vibe coding is about moving fast from idea to production without getting stuck on infrastructure.

A simple stack that works well:

• Frontend and Backend: @Google Antigravity, @Cursor, @Claude Code

• Databases and RAG: @Pinecone

• Cloud and DevOps: Bult.ai

• LLMs: @OpenAI, @Google Gemini, @Hugging Face, @Ollama

Bult.ai handles deployment, infrastructure, SSL, domains, scaling, and CI CD, so you can focus on building the product, not managing servers.

Every project on Bult.ai gets a ready to use public URL that works instantly, for example
https://blog.fin1.bult.app

You can also attach your own custom domain directly in the platform and expose services with branded URLs like blog.com.

Bult.ai lets you deploy production-ready databases with automated backups and monitoring directly from the Canvas UI using built-in templates or custom images.

Supported out of the box:
PostgreSQL
MySQL
Redis for caching and queues
MongoDB
500+ additional databases available from Docker Hub

Example: Deploy PostgreSQL
Select the PostgreSQL template
Choose compute size and volume
Click Create and get a ready-to-use connection string

No manual server setup. No DevOps overhead.
Databases ready in minutes.

We support most popular languages and frameworks on Bult.ai with either 1-click templates or custom configs.

Node.js, Python, Go, Java, Rust, PHP, Ruby, modern JS frameworks, and more.

We just shipped Backups in Bult.ai
You can now protect your data with built-in backup management:
Enable or disable automatic backups
Choose flexible schedules from hourly to biweekly
Create backups manually when needed
Download, restore, or delete backups

Backups are created while the service is running.

Thank you to everyone who supported Bult.ai this year. Launching on Product Hunt, getting featured, and learning from the maker community was a huge experience for us.

Wishing all makers a year full of shipping, learning, and meaningful wins.
See you in the next launches

We ve improved change tracking in Bult.ai with a Canvas view.

You can now see all uncommitted changes in one place, review what s about to be deployed, approve or discard changes, and roll back when needed. It makes fast iteration safer and deployments more predictable.

We ve added clear volume usage metrics to give teams better visibility into storage consumption over time.
You can track:
Date and time
Total capacity
Available storage
Actual usage
This helps teams monitor growth, plan capacity, and avoid surprises as applications scale.
More observability improvements coming soon.

You can add any Docker Hardened Image from Docker Hub to Bult.ai and run it as a service in minutes.
Import ML & AI frameworks and stacks like LangChain, TensorFlow, PyTorch, and 500+ others in just a few clicks. No manual infrastructure setup, no complex configuration.

We ve just shipped one of our most requested features: Dark Mode for Bult.ai.

You can now work comfortably day or night with reduced eye strain and the same fast deployment experience.

What s included:
Clean and modern dark UI
Automatic theme switching
Available across the entire platform

You can connect several GitHub accounts at the same time and manage all your repositories and projects in one place. It s especially useful if you work across personal projects, client work, or multiple organizations.

No more logging in and out or switching contexts. Everything stays connected and ready to deploy.

Happy to answer questions or hear feedback.

I m curious how other founders and builders approach early traction when launching a new product.

Specifically:

• Do you start with a structured traction plan, or iterate week by week?

• How much do you rely on templates vs. fully custom strategies per product?

• At what point do you decide that an idea is not worth pushing further?

From my experience, the hardest part isn t execution itself, but deciding what not to do in the first weeks especially when time and focus are limited.

Users can now get instant answers to questions about the platform and documentation at any time. The AI assistant is available 24/7 and helps developers onboard faster, resolve issues quickly, and understand how to use Bult.ai more effectively.

More improvements to our support experience are on the way.

Our ready-to-use templates on Bult.ai, making it easy to deploy popular services in just one click.

Instead of spending time on manual configuration, networking, storage, and environment setup, you can now launch production-ready services in minutes directly from the Bult.ai dashboard.

We ve just published a new n8n tutorial for Bult.ai.

It shows how to deploy n8n on Bult.ai in minutes and build a personal AI assistant connected to Telegram, Gmail, Google Tasks, Google Contacts, and Calendar. The guide covers deployment, importing a ready-made workflow, credentials setup, and testing text and voice prompts.

We just shipped a new feature on Bult.ai that many developers have been asking for.

We added a built-in Terminal, which allows you to access and debug running services directly inside the platform. This makes troubleshooting much faster and removes the need for external tools or custom setup.

If you are deploying microservices, experimenting with templates, or debugging environments, this should make your workflow much smoother.

More improvements are on the way. Happy to answer questions and would love your feedback.

Hi everyone, I m Nursultan.

We re building Bult.ai a platform that helps developers instantly deploy, manage, and scale apps without the headache of infrastructure setup, and at a fraction of the cost.

And that s just the beginning: we re also working on the world s first AI DevOps copilot an AI-powered teammate for DevOps, launching later this year.

Excited to share that our Product Hunt launch is coming up on September 17th. Follow along to get notified!

We re building Bult.ai, a DevOps platform that lets you deploy apps in seconds.

Our goal is to make it effortless for engineers to deploy code without worrying about servers.

Our mission is to remove infrastructure headaches so developers can build faster, ship more, and create far more impactful systems. Infrastructure automation = massive leverage.

If you're applying, reply below with what you're building so we can cheer you on!

If you're doing a startup and not applying, why aren't you applying?