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 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
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.
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.
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.
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.
Bult simplifies CI/CD pipelines, auto-deployments, and product launches. Build, deploy, and scale apps in minutes without DevOps complexity. Perfect for developers and startups.
