Schema Map

A database schema viewer app idea: a readable map of any database. Weekend build with Next.js, React Flow and Claude API, for anyone new to an unfamiliar database.

See the spec
Why now

Why now

Database tooling is getting active attention: Liam ERD stayed active through October, reylo drew over a thousand stars after its Oct 21 launch, and 235 new repos mentioned database schemas. Reading a schema file needs no live connection, so it is safe to try.

Checked at the source on Nov 2, 2026. Points, comments, and stars are from that day. GitHub counts are keyword matches, so treat them as a rough guide.

The spec

The spec

Paste your SQL schema and get an interactive diagram of the tables and relationships, with a plain description of what each table seems to be for.

Build time

WeekendBasic logic / CRUD · Level 2 of 5

Audience

Anyone new to an unfamiliar database.

Stack

  • Next.js
  • React Flow
  • Claude API

Fun factor

A database with a hundred tables finally has a map.

Core features

  • Paste a schema or upload a SQL file
  • Diagram of tables and relationships
  • Search for any table or column
  • Export as an image

AI features

  • Describes what each table appears to do
  • Answers questions about how tables connect

Stretch goals

  • Compare two schema versions
  • Shareable links
  • Editable notes on each table

First version

Paste a SQL schema and see a diagram of its tables and foreign keys.

Build plan

Build plan

4 milestones, in the order you would build them. Saved ideas get this plan with checkboxes and notes.

Parse the schemaRead tables, columns, and foreign keys.
Start here
Draw the mapA diagram you can pan and zoom.
SearchJump to any table or column.
Add descriptionsA short note for each table.
The build prompt

The build prompt

Paste this into ChatGPT, Claude, Codex, or Cursor, then build the first version before anything else.

schema-map.prompt.md
# Build Schema Map

You are a senior full-stack engineer pairing with me on a side project. Build a working first version of the product described below. Read the whole brief before writing any code, then follow "How to work" at the end.

## The idea

**Schema Map.** Paste your SQL schema and get an interactive diagram of the tables and relationships, with a plain description of what each table seems to be for.

**Why now:** Database tooling is getting active attention: Liam ERD stayed active through October, reylo drew over a thousand stars after its Oct 21 launch, and 235 new repos mentioned database schemas. Reading a schema file needs no live connection, so it is safe to try.

**Who it is for:** Anyone new to an unfamiliar database

**What makes it fun:** A database with a hundred tables finally has a map.

## Scope

- **Build time:** Weekend. Size every decision to ship a working first version inside this window.
- **Technical ambition:** Level 2 of 5, "Basic logic / CRUD". A few screens over a simple data model with create, read, update, and delete. One lightweight persistence layer, no heavy infrastructure.
- **First version only.** Ship the core features below end to end. Stretch goals are listed so you can design around them, not build them.

## Core features (each must work end to end in the first version)

1. Paste a schema or upload a SQL file
2. Diagram of tables and relationships
3. Search for any table or column
4. Export as an image

## AI features

- Describes what each table appears to do
- Answers questions about how tables connect

How to build them:
- Put every model call behind one server-side module with a typed interface, so the provider can change without touching the UI.
- Read API keys from environment variables only, and document each one in `.env.example`.
- Write prompts as versioned constants with clear instructions and an example of the expected output; parse and validate responses before using them.
- Handle timeouts, rate limits, and malformed output with a graceful fallback the user can understand. Stream responses where a wait would exceed a couple of seconds.
- Never let a feature depend on the model being perfect. Show the result, let the user edit or retry.

## Stretch goals (later, not in the first version)

- Compare two schema versions
- Shareable links
- Editable notes on each table

Leave clean seams for these (a module boundary, a nullable column, a feature flag), but do not implement them unless I ask.

## Tech stack

Use exactly: Next.js, React Flow, Claude.

Stay on current stable versions, follow each tool's official conventions, and add a library only when the standard library or the chosen stack cannot do the job cleanly. If part of this stack is a poor fit for a specific requirement, say so and propose the smallest change.

## Owner's notes

Written by me, the project owner. Treat these as requirements and preferences that override the generated material above when they conflict.

The first version should be exactly this, and no bigger: Paste a SQL schema and see a diagram of its tables and foreign keys.

## Build plan (with saved progress)

0 of 4 steps complete. Resume at step 1: Parse the schema. Before you start it, check what is already implemented so you do not repeat finished work.

1. **Parse the schema** [not started]
   Read tables, columns, and foreign keys.

2. **Draw the map** [not started]
   A diagram you can pan and zoom.

3. **Search** [not started]
   Jump to any table or column.

4. **Add descriptions** [not started]
   A short note for each table.

## Definition of done for the first version

- [ ] Paste a schema or upload a SQL file works end to end, with real data, not a placeholder.
- [ ] Diagram of tables and relationships works end to end, with real data, not a placeholder.
- [ ] Search for any table or column works end to end, with real data, not a placeholder.
- [ ] Export as an image works end to end, with real data, not a placeholder.
- [ ] Every screen handles loading, empty, and error states.
- [ ] Typecheck, lint, and any tests pass, and the main user flow was exercised by hand.
- [ ] A README explains setup, environment variables, and how to run it locally.

## Quality bar

- Responsive from a phone to a desktop, keyboard-accessible, semantic HTML, visible focus states, labelled inputs, and sensible contrast.
- Loading, empty, and error states for every screen that reads or writes data. Errors say what happened and what to do next.
- Validate on the server, never trust the client, and keep secrets in environment variables with a committed `.env.example`.
- Type-safe end to end. No `any` without a comment explaining why.
- Small, readable modules named after what they do. No premature abstraction, no dead code, no TODOs left for later without a note.
- Sensible defaults over settings. If a choice is not in this brief, pick the simplest option that keeps the product coherent and say what you chose.

## How to work

1. **Read, then restate.** Summarize the product in three sentences and list your assumptions. Ask only the questions that block implementation. For everything else, decide and note the decision.
2. **Plan before code.** List the files and modules you will create, in build order, mapped to the core features. If a build plan is included above, use it instead: resume at the first step not marked done and check what already exists before touching it.
3. **Set up.** If a project already exists, inspect its code, instructions, and conventions first and build on them. Otherwise scaffold the stack above with linting, formatting, a typecheck script, `.env.example`, and a README stub.
4. **Model the data first.** Define the types, schema, and any migrations before the UI, so the shape of the product is settled early.
5. **Build in vertical slices.** Finish one core feature end to end (data, logic, UI) before starting the next. Keep the app runnable after every slice and commit each slice with a message that says what changed and why.
6. **Then the interface.** Apply the quality bar above to each screen as it lands, not as a final pass.
7. **Verify.** Run typecheck, lint, and tests. Exercise the main user flow by hand. Check each item in the definition of done and each acceptance criterion.
8. **Report.** Tell me what works, what you tested and how, what is not done, every setup step I must complete myself, and the three most useful next steps. Never claim a service, test, or flow was verified when it was not.

If you can edit and run the project, start implementing right after the short plan. If you cannot, give me concrete code and the exact commands to run for the next step.

Rules: keep the product name and the scope as written, do not invent features, prefer boring and proven choices, and stop to ask me when a decision would be expensive to reverse.

How to use

  1. Copy the prompt above.
  2. Open ChatGPT, Claude, or your AI editor and paste it into a new conversation.
  3. Build milestone one, run it, then move to the next. Add stretch goals only after the first version works.

Want ideas built around you instead? Generate four from your own interests, time, and stack.

Frequently asked questions

FAQ

Frequently asked questions

Answers on what Schema Map is, how to build it, and where example ideas come from.

Similar ideas

Similar to Schema Map

More data & analytics ideas, then a few from other categories.

Generate your own

Ready to generate yours?

Four ideas per round, shaped by your interests, skill level, and how much time you have.