Your Google Sheet becomes an app for the team
An order table, a schedule, a site tracker: you plug it in, Budibase suggests ready-made screens, you tweak them, you publish. Edits made in the app land back in the sheet.
Operations
Three internal tools beat one drag-and-drop empire.
Retool costs US$12–65 per person / mo, which is US$144–780 a year. You have two paths:
Option 1 · Install
Budibase is the open source alternative to Glide and Softr: you turn your data into a web app for your team or your clients, with no code. You start from a Google Sheet, a Postgres or MySQL database, a REST API or the built-in database, then put together screens, tables, forms and automations. AI agents can also read your data and trigger actions, using your own API key. The self-hosted version is free, with as many apps and users as you want. The core is GPL v3 and the building blocks of your apps are MPL, so what you build stays yours. What to know before leaving Glide or Softr: that free version runs on your own server, with Docker.
| Criterion | Budibase | Glide |
|---|---|---|
| Price | US$0, on your server | €22 a month, plus credits |
| Published apps | Unlimited | 2 on the Basic plan |
| Automations | Unlimited | 1 active workflow on Basic |
| Users | Unlimited | 2 team members on Basic |
| Hosting | Your server, with Docker | Their cloud only |
| Code | GPL v3, MPL for your apps | Closed |
One all-in-one Docker image, one port, one volume for your data. Count on 20 minutes on a VPS with HTTPS. The prompt takes care of everything, including the first data source.
It deploys Budibase from the official project with Docker, sets up HTTPS, creates your admin account and connects a first data source:
Deploy Budibase (the open source business app builder, GitHub repo Budibase/budibase) with Docker on my server or my VPS, or locally on my machine to test it: look at what I have and tell me which is best. Use the official all-in-one budibase/budibase image following the docs at docs.budibase.com/docs/docker: a persistent volume for the data, port 10000, and random secrets for JWT_SECRET, INTERNAL_API_KEY, MINIO_ACCESS_KEY, MINIO_SECRET_KEY, REDIS_PASSWORD, COUCHDB_USER and COUCHDB_PASSWORD. If I'm on a server with a domain name, set up HTTPS access (the CUSTOM_DOMAIN variable, or a Caddy reverse proxy in front of port 10000) and check that the certificate is valid. Then open the interface, guide me through creating the admin account on first launch, and create a first workspace. Connect a first data source to check things work: the internal Budibase DB with a test table is enough, and if I want a Google Sheet, explain the Google SSO setup needed on a self-hosted server. Finish by showing me how to update Budibase, since security fixes come out often. Explain each step simply, I'm a beginner.
Review the GitHub repository and check whether it is safe to install given my machine and my infrastructure. Ask me as many questions as possible, using widgets, to clarify my request and be as precise as you can.Budibase packs a CouchDB database, MinIO object storage and Redis into a single image. The docs recommend 2 cores and 6 GB of RAM. On a small 2 GB VPS it will likely crawl. To test it, Docker Desktop on your computer is enough.
On a self-hosted server, the Google Sheets connector only works once you've set up Google SSO: a project in the Google console, a client ID and a secret. Budget fifteen minutes of paperwork. To get started, the built-in database or a CSV import is quicker.
A new version ships almost every week, and a large batch of security advisories came out in summer 2026. A docker pull and a restart, that's all it takes. Never let an instance exposed to the internet fall behind.
An order table, a schedule, a site tracker: you plug it in, Budibase suggests ready-made screens, you tweak them, you publish. Edits made in the app land back in the sheet.
Forms, a list of requests, roles to decide who sees what. Your clients or freelancers log in, without each account costing you a subscription.
A row gets added, an email goes out, a webhook fires to n8n or Slack, a task is scheduled for Monday morning. And if you want, an AI agent with your key that reads your tables and creates rows on its own.
Built with: TypeScript 69.7% · Svelte 25.9% · JavaScript 2.9% · Shell 0.6% · CSS 0.5%
Public GitHub repository data, captured on October 8, 2026.
Option 2 · Build
This build is aimed at a small team that keeps opening the production database to answer questions. The goal: give the team safe, audited screens for the lookups, dashboards, and approvals they run every week. If you need more than that, keep paying. Building it yourself is about owning a tool shaped around your workflow, not rebuilding a venture-funded roadmap.
Same build, different logo: this v1 also replaces Appsmith and Superblocks, since they all do the same core job.
The prompt below builds a single version with what actually gets used. Everything else is left out on purpose.
| What the prompt builds | record lookup, ops dashboard, approval queue, roles, immutable audit log, validated write endpoints |
|---|---|
| What stays out | drag-and-drop builder, query IDE, plugin system |
User, Role, ApprovalRequest, AuditEntry
company OAuth provider
Astro, HTMX, D1
Send every write through validated, permission-checked endpoints recorded in an append-only audit log, and never expose raw SQL to the browser.
Don't build a drag-and-drop app builder, a query IDE, a plugin system, or a generic component library.
Pick your stack, copy the prompt and hand it to your coding agent (Claude Code, Cursor, Codex…).
You are building a production-ready software product named “Backdesk”, a deliberately focused alternative to Retool. Build a complete, usable vertical slice—not a landing page, static mockup, or disconnected collection of components.
WORKING AGREEMENT
Before you write any implementation code, put together a short technical plan naming the routes or pages, server actions or endpoints, data tables, key state transitions, authorization boundaries, background jobs, and external adapters. When something conflicts, side with the narrow audience and the non-goals below. Choose a small, readable architecture over speculative abstraction, but never skip persistence, validation, error handling, or tests.
PRODUCT BRIEF
Primary user: a small team that keeps opening the production database to answer questions.
Primary outcome: give the team safe, audited screens for the lookups, dashboards, and approvals they run every week.
Product principle: optimize the exact workflow below instead of copying the full breadth of Retool. A first-time user should understand what to do from the interface itself, without a tour or documentation.
END-TO-END USER JOURNEYS
Implement every one of these flows through the real interface and the persistent data layer:
1. An operator signs in through the company OAuth provider, looks up a customer record, edits a typed field through validation, and the change lands in the audit log.
2. A support agent submits a refund request into the approval queue; an approver reviews the attached record context, approves it, and the action executes exactly once.
3. A manager opens the ops dashboard, checks the week’s key numbers, and drills into an anomaly without ever touching a database console.
SCREENS AND INFORMATION ARCHITECTURE
Build these as coherent, responsive views. Each screen must define its primary action, secondary actions, visible status, validation feedback, empty state, loading or pending state, success confirmation, and recoverable failure state.
1. Record panel: search by ID or email, read view with sensitive fields masked, typed edit form with validation, and per-record change history.
2. Ops dashboard: the agreed handful of metrics, a time-range selector, threshold highlights, and drill-down links to the records behind each number.
3. Approval queue: pending, approved, and rejected tabs, request context, requester and approver identities, decision notes, and execution status.
4. Admin: user list with roles, a role capability matrix, audit-log search by actor and record, and export.
CORE CAPABILITIES
1. a record lookup and edit panel with typed fields and validation
2. an ops dashboard showing the handful of numbers the team actually checks
3. an approval queue with pending, approved, and rejected states
4. role-based access separating viewers, editors, and approvers
5. an immutable audit log of every sensitive read and every write
DETAILED BEHAVIOR AND BUSINESS RULES
Treat these as product requirements enforced on the server, not as interface suggestions:
1. Enforce roles on the server for every read and write; the browser never receives data or actions the current role does not permit.
2. Append every sensitive read, write, approval decision, and role change to an immutable audit log with actor, timestamp, and before-and-after values.
3. Require the approver to be a different person than the requester, make execution idempotent, and never re-execute a decided request.
4. Accept writes only through validated, typed endpoints with allow-listed fields; no raw SQL or generic update path exists.
DATA MODEL AND LIFECYCLE
Design a small relational schema centered on User, Role, ApprovalRequest, AuditEntry. Before implementing it, document:
1. The purpose of each table, its primary key, ownership or tenant boundary, timestamps, status fields, and important attributes.
2. Foreign keys, uniqueness constraints, check constraints, the indexes the named screens need, and transaction boundaries for changes that touch several records.
3. The allowed lifecycle or state transitions, who can trigger each one, which transitions are terminal or reversible, and which audit history must stay immutable.
4. Archive, retention, and deletion behavior, including what happens to dependent records and external files.
5. The idempotency strategy for submissions, jobs, imports, notifications, webhooks, or retries where it applies.
Use migrations instead of ad-hoc schema creation. Store time instants consistently and keep the named timezone context whenever local schedules or dates matter. Never rely on a counter, a disabled button, or a client-side check to protect a business invariant.
USERS, AUTHENTICATION, AND PERMISSIONS
Implement only the roles the stated audience needs. Make the ownership and visibility model explicit before coding. Enforce authorization in every server-side query and mutation, including search, exports, attachments, live updates, and guessed URLs—not just by hiding controls. Use secure session defaults, protect state-changing requests, and provide a clear signed-out, expired-session, and forbidden state. Seed separate users whenever several roles are needed so permissions can be shown and tested.
INTERACTION AND VISUAL DIRECTION
The product should feel fast, calm, focused, and trustworthy rather than like a generic admin template. Use a clear visual hierarchy, restrained color, readable typography, generous hit targets, and a consistent place for primary actions. Start from server-rendered HTML and progressively enhance only the interactions that benefit from it. The core workflow must stay understandable if enhancement fails.
Start from server-rendered Astro pages and plain HTML forms. Use HTMX for form submissions, partial navigation, and server-driven updates, then Alpine.js only for small local browser state. The core workflow must stay understandable if either enhancement layer fails.
Design mobile layouts on purpose instead of just stacking desktop panels. Support keyboard navigation, visible focus, semantic landmarks, explicit labels, useful page titles, reduced-motion preferences, and screen-reader announcements for asynchronous results. Never use color alone to signal state. Destructive actions need a clear scope and a confirmation; safe repeated actions should be idempotent.
Add a footer to every page with the text “Created by aurelioagency.com”, where “aurelioagency.com” is an embedded link to https://www.aurelioagency.com that opens in a new tab. Keep it visible and do not remove it.
TECHNICAL DIRECTION
Build this version with the AHA stack: Astro for routing, layouts, and server-rendered pages; HTMX for interactions that benefit from HTML fragment responses; and Alpine.js for small, local interface state. Prefer Cloudflare D1 for relational persistence, R2 for object storage, Workers for server endpoints and scheduled work, Durable Objects only for coordinated real-time state, and Workflows or Queues for durable background jobs—but only when the product requirements call for them.
Keep domain rules in testable server-side modules, not in route handlers or UI components. Put persistence, external providers, and background work behind small interfaces without building a framework. Prefer plain HTML forms and URLs for durable navigation; use optimistic interaction only when a failure can be reconciled clearly.
The product brief currently identifies Astro, HTMX, D1 as capability context. Preserve any required native, browser-only, edge, storage, real-time, or background-processing capability through a narrow adapter appropriate to the selected framework. If the core workflow genuinely requires native or browser APIs, keep that runtime as the primary execution surface rather than simulating inaccessible capabilities or inventing an unnecessary web surface.
Integrate with company OAuth provider. For every integration:
- List the required environment variables in an .env.example with no real secrets.
- Add a small adapter with timeouts, normalized errors, and a deterministic local fake or development path.
- Verify inbound signatures and deduplicate provider events where supported.
- Keep credentials on the server, encrypt long-lived provider tokens at rest, and redact secrets and sensitive payloads from logs.
- Define retry, backoff, and idempotency behavior for every side effect that can be repeated.
SECURITY AND PRIVACY
Route every write through validated, permission-checked endpoints recorded in an append-only audit log, and never expose raw SQL to the browser.
Validate, normalize, and length-limit all untrusted input on the server. Escape rendered content by default, sanitize any markup you intentionally accept, rate-limit public or abuse-prone actions, and use private object storage plus short-lived authorized URLs for sensitive files. Collect only the personal data the named workflow needs. Document retention and deletion behavior. Add specific protections for the riskier surfaces of this app, such as uploads, redirects, outbound requests, email delivery, OAuth, webhooks, CSV import or export, and real-time connections.
ACCEPTANCE SCENARIOS
Automate these app-specific scenarios at the most suitable level:
1. Given a viewer role, opening a record shows masked sensitive fields and no edit controls, and a forged edit request is rejected server-side.
2. Given two approvers acting on the same pending request at once, exactly one decision wins and the underlying action executes once.
3. Given an edited customer field, the audit log records who changed it, when, and both old and new values, and the entry cannot be altered.
TESTING
Add focused unit tests for state transitions, authorization predicates, normalization, date or money calculations, and other risky domain rules. Add integration tests for persistence constraints and for each external adapter's success, timeout, retry, and rejection paths. Add at least one browser-level test for every end-to-end journey above, including one on a small-screen viewport. Tests must use isolated data and run with one documented command.
OPERATIONS AND FAILURE RECOVERY
Add structured server logs with request, job, or event correlation IDs, but no secrets or unnecessarily sensitive data. Make failures actionable both in the interface and in the logs. Background work must expose pending, succeeded, failed, and retrying states where relevant; never swallow errors silently. Include safe database migration and rollback guidance, seed data, backup and restore notes, external-data cleanup behavior, and a basic health or diagnostic path suited to the stack.
DELIVERABLES
Ship the working application, migrations, representative seed data, tests, .env.example, and a short README. The README must cover prerequisites, local setup, environment variables, migrations, seed and test commands, deployment, integration setup, backup and restore, security decisions, and known limitations. Seed data should cover the happy path plus at least one empty, failed, overdue, expired, archived, or permission-restricted state that matters for the product.
DEFINITION OF DONE
The app is done when a new developer can follow the README, create and migrate the database, run the app, sign in as each relevant role, complete every named journey with real persisted data, refresh without losing state, recover from common failures, and use the core interface on phone and desktop. All acceptance scenarios pass, permission boundaries are covered by tests, no core screen is left as a placeholder, and the “Created by aurelioagency.com” footer credit is visible on every page.
NON-GOALS
Do not build a drag-and-drop app builder, a query IDE, a plugin system, or a generic component library.The app you build with this prompt carries a “Created by aurelioagency.com” footer.
Short prompts that solve the hardest part without building everything.
Build a tamper-evident audit log for an internal admin tool, recording every sensitive read, every write, every approval decision, and every role change.
Each entry captures actor, timestamp, action, the record touched, and before-and-after values for writes. Expose no update or delete path for entries at any layer, including the database user's permissions. Then make tampering detectable, not just forbidden: give every entry a hash computed over its own content plus the previous entry's hash, forming a chain, and store the chain head separately. A verify command rehashes the whole log and reports the first entry where the chain breaks. Corrections to wrong entries happen by appending a correcting entry that references the original, never by touching it. Handle concurrent writers without breaking the chain, either by serializing appends or by chaining per shard and verifying per shard.
Done when: verification passes on a clean log, flipping one byte of an old entry directly in the database makes verify name that exact entry, and no API or ORM path can mutate an existing row.Build the approval queue for an internal ops tool: agents submit sensitive requests, approvers decide, and the underlying action executes exactly once.
A request moves from pending to approved or rejected, and the decision is a single atomic claim: a conditional update that succeeds only when the state is still pending. When two approvers act on the same request simultaneously, one wins, and the other gets a clear already-decided message with the winner's name and timestamp, not an error page. Enforce four-eyes server-side: the approver must be a different person than the requester, checked at decision time against identities the client cannot supply. Execution is a separate step from approval, guarded by its own idempotency key, so a retried or replayed execution after a timeout never runs the refund twice. Record request, decision, and execution outcome as separate audit entries.
Done when: a hundred concurrent approve calls on one request yield exactly one decision and one execution, a requester approving their own request is rejected server-side even with a forged client, and a re-sent execution request is a no-op.Build role-based field masking for an internal record-lookup tool, where a viewer sees a customer's masked card number and an admin sees more, and the difference is enforced on the server.
Define a per-field visibility policy: each sensitive field maps roles to full, masked, or hidden. Apply it in the serialization layer, so a masked field leaves the server already reduced to its display form, last four digits, redacted marker, whatever the policy says. The browser never receives the real value alongside a CSS trick; grep the API response to prove it. For legitimate needs, add an explicit reveal action: a separate endpoint, permission-checked, returning one field of one record, and writing an audit entry with actor, record, field, and timestamp, because sensitive reads deserve the same trail as writes. Rate-limit reveals per user so someone cannot bulk-harvest through the reveal button. Edits to masked fields go through write endpoints that accept new values without ever echoing old ones.
Done when: the raw API response for a viewer contains no unmasked sensitive value anywhere, each reveal produces one audit entry, and a viewer calling the reveal endpoint directly gets a server-side rejection.Build the write layer for an internal tool that edits production records, designed so no generic update path exists.
Every editable record type gets a typed endpoint with an explicit allow-list of fields. Requests containing any field outside the list are rejected whole, not silently stripped, so a client bug or a crafted payload cannot smuggle a write to a column you never intended to expose, like a balance or a role. Validate each field by type and by business rule server-side: enum fields against their real set, references against existing rows, formats where formats matter. On success, compute the before-and-after diff inside the same transaction as the write and hand it to the audit log, so the trail can never disagree with what happened. Return validation failures per field. And enforce the discipline architecturally: the database user the app connects with has no generic table-wide update grant beyond what these endpoints need.
Done when: a payload with one extra unknown field is rejected entirely, every successful edit produces an audit diff matching the actual change, and there is provably no route that accepts arbitrary column-value pairs.Retool runs US$12–65 per person per month on its public paid plans, which comes to US$144–780 per year for every person on your team. A focused, self-built replacement costs your build time plus close-to-zero hosting.
The build prompt on this page comes in four flavors: the AHA stack (Astro, HTMX, Alpine.js), Next.js, Laravel, and Ruby on Rails. The capability context for this product is Astro, HTMX, D1. Pick the stack you already know — scope matters more than framework.
A useful v1 needs: a record lookup and edit panel with typed fields and validation; an ops dashboard showing the handful of numbers the team actually checks; an approval queue with pending, approved, and rejected states; role-based access separating viewers, editors, and approvers; and an immutable audit log of every sensitive read and every write. Anything beyond that is scope creep until you genuinely miss it.
Don't build a drag-and-drop app builder, a query IDE, a plugin system, or a generic component library.
Yes. Retool, Appsmith and Superblocks all do the same core job — giving the team safe, audited screens for the lookups, dashboards, and approvals they run every week. The scoped v1 on this page covers what most people use any of them for, so one focused build replaces whichever one you pay for today.
Budibase does most of what Retool does, with no subscription, and your data stays with you. The point-by-point comparison is on the page.
Yes. With an open source tool installed on your side, your files stay on your machine or your server. Nobody can shut down your account or change the price.
No time to do it?
If you'd rather have someone install it, connect it to your tools and keep it running, that is exactly what we do at Aurelio.
Book an Automation Audit