Every product needs the same first afternoon of plumbing. Provision a database. Stand up an admin tool. Build sign-in and token issuance, or wire in a third party that holds your users hostage. Find somewhere to put uploads. Point a domain at it and get a certificate. None of it is the product you set out to build, and all of it has to exist before the product can.

The Launch a SaaS starter stack collapses that into one button. You get a SaaS backend in a box: your own PostgreSQL with a Directus studio over it, end-user auth, object storage, and a custom domain, wired together and EU-resident, in minutes.

Standing up a search stack usually starts the same way every time. Provision an OpenSearch cluster. Stand up Dashboards next to it. Wire Dashboards to the cluster with an endpoint and credentials you paste into a config file. Make sure the security plugin lets the two talk. Decide where Dashboards keeps its saved objects. Only then do you get to the part you actually wanted: indexing data and running a query.

The Launch a search workspace stack collapses that into one button. You get a managed OpenSearch cluster and a full OpenSearch Dashboards workspace, attached and EU-resident, in minutes, with nothing to wire by hand.

An auditor reviewing your data layer does not want a screenshot. A screenshot is a picture of a number at a moment, detached from the system that produced it, trivially edited, and impossible to verify after the fact. What an auditor actually wants is evidence: a record of what a control did, backed by an observed value, that can be checked against a source of trust without taking anyone's word for it.

That is what a FoundryDB compliance evidence packet is. It is a per-organization document, generated from real platform data, that maps the infrastructure controls we operate to the framework you are being measured against (SOC 2, GDPR Article 30 ROPA, DORA, or the EU AI Act). It is cryptographically signed, stored immutably, and rendered as both machine-verifiable JSON and a human-readable PDF. Anyone holding our published public key can confirm a packet came from the platform and was not altered, with no shared secret and no need to trust the channel it arrived through. This post walks through how that works, from operational data to a signature an auditor can check in their browser.

Getting to your first dashboard is rarely about the dashboard. It is about provisioning a database, standing up a BI tool, opening a port, copying a connection string, and praying the two halves agree on TLS. By the time anything renders, the afternoon is gone and the chart you actually wanted is still a row in a spreadsheet.

The Launch a BI workspace stack collapses all of that into one launch. You get a complete Metabase workspace wired to your own PostgreSQL, EU-resident, with dashboards in minutes. You do not assemble it. You launch it.

Standing up a headless CMS usually means a weekend. Provision a database. Pick a CMS. Wire it to the database with a connection string you paste into an environment file. Open a firewall rule. Mint an API token. Then, finally, model your first collection. The content platform you actually wanted was always one good afternoon of plumbing away.

The Launch a CMS stack collapses that into one button. You get a production headless CMS running on your own PostgreSQL, EU-resident, in minutes, with nothing to wire by hand.

Building a GraphQL API used to be a project. You stand up a server, wire it to a database, hand-write resolvers for every type, add a subscription transport, build an authorization layer, and keep all of it in sync with your schema as it changes. Weeks of plumbing before a single useful query runs.

The Launch a GraphQL API stack collapses that into one button. Pick it, accept the cost preview, and a few minutes later you have a production GraphQL API over your own PostgreSQL: queries, mutations, real-time subscriptions, and fine-grained permissions. No backend code. EU-resident from the first request.

Spreadsheets are how most teams actually model their work. A table of customers, a tracker of orders, a board of tasks. The tools that make this delightful, the Airtables of the world, give you a grid you can edit by hand and an API you did not have to write. What they do not give you is the database. Your data lives in someone else's product, in a shape you do not control, behind an export button.

Today you can have both. Launch a no-code database stands up NocoDB, the open-source Airtable alternative, wired to your own PostgreSQL. The editing experience is the spreadsheet you wanted. The thing underneath is a real SQL database, in your own account, resident in Europe, that you can query, scale, and back up like any other.

Retrieval-augmented chat is the demo everyone wants and almost nobody ships cleanly. The interface is easy. The plumbing is not. You need a vector store, somewhere to keep the documents, an inference endpoint that does not leak your data, and an app that knows how to reach all three. That is a database, a bucket, an API key, a handful of environment variables, and a firewall rule or two, all wired by hand before you see a single answer.

The rag-chatbot stack collapses that into one launch. Pick it, accept the cost preview, and a few minutes later you are chatting over your own data on infrastructure you own, resident in Europe.

Every platform you have ever shipped on hands you a bag of parts. A database here. A bucket there. An auth provider, a connection string, a set of S3 keys, a firewall rule, an environment variable to remember on Monday. Each part is real and each part works, but none of them know about each other. The wiring is the project. You spend the first afternoon copying credentials between dashboards before your app renders a single useful screen.

Today we ship the opposite of a bag of parts. create-foundry-app is live. One command scaffolds a Next.js app that already declares what it needs. One deploy provisions every one of those resources on FoundryDB, wires them together, and injects the credentials into the running app. No connection strings to copy. No firewall rules to open. No API keys to paste. You write the app and you ship the wired whole, resident in Europe, in one command and one deploy.

And because we know the first question every serious developer asks: it is open-source, it is MIT, and every primitive maps to an open standard, so the same app runs anywhere. You own the convenience, not a lock.

You have a database full of tables. Now you want to see them. So you go find a BI tool, spin up a server for it, open a firewall rule, copy a connection string, paste in a host and a port and a username and a password, pick the right SSL mode, and after twenty minutes of yak-shaving you finally reach a login screen. Then you do it again next week when someone asks for a CMS, or a GraphQL API, or a no-code grid your ops team can edit.

That whole detour is now one click. From any FoundryDB database, click Add app, pick what you want, and the platform provisions a connected companion application for you. It auto-connects to your database over a private network with its own scoped credentials, serves it at its own subdomain with automatic HTTPS, and meters it like any other service. No config, no connection strings, no separate hosting to babysit. One click from data to a working app.