GeoLibre: Local-First Geospatial Workspace

Problem and target customer

Why this exists

Customer problem

Spatial analysis workflows are fragmented across desktop GIS, browser maps, and notebooks. Analysts cannot easily load local geospatial files, run spatial SQL, style results, and share an interactive map project in one tool without sending sensitive data to a remote cloud.

Who pays

GIS analysts and data scientists in organizations that handle sensitive location data and need a portable, local-first workspace for ad-hoc spatial analysis and map sharing.

Business model

Free local-first workspace for individual analysts; paid team workspaces for managed project storage, share links, access controls, and usage-based tile and data delivery.

Editorial note

GeoLibre is a local-first geospatial workspace for analysts who need to inspect, query, style, and share spatial data without moving raw files into a hosted GIS by default. The first product loop is deliberately narrow: import a dataset, style its layers, run spatial SQL, and share a project when collaboration is needed.

The commercial product is a team workspace, not the local map editor. Individual users can stay on the local workflow, while teams pay for managed project storage, access controls, shareable embeds, and hosted tile or data delivery. Storage and delivery volume are the clearest usage meters because they grow with the value consumed.

The MVP should validate the import-to-share loop on browser-sized datasets before adding server-side geoprocessing, 3D tiles, desktop parity, or a plugin marketplace.

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Evaluate the operating tradeoffs quickly, or inspect how to build the MVP.

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Compare the three operating paths at the default workload before opening the full calculator.

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Review MVP scope, workflow, states, data rules, architecture, and acceptance criteria.

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Evaluation preview

What would it take to run?

Directional infrastructure estimates for the current 500 data layers assumption. Open the full calculator when you are ready to change it.

Open full cost and deployment

ManagedSelected

$5.1-$26/ month

Managed app, database, and worker capacity for the beta workload.

Lowest operating effort

Lean self-hosted

$5.1-$16/ month

A lower fixed-cost deployment with more setup and maintenance.

Lowest baseline cost

More control

$20-$81/ month

More control over service placement and operational capacity.

Most separation and control

Build blueprint

Build the first paid use case

Product goal

Who it serves and what it must change

Target user: GIS analysts and data scientists who work with sensitive location data and need a local-first browser workspace for spatial SQL and map sharing.
Problem: Loading local geospatial files, running spatial SQL, styling results, and sharing an interactive map requires multiple disconnected tools and often exposes data to remote cloud GIS platforms.
Measurable outcome: An analyst can import a 50 MB GeoJSON file, style one layer, run one spatial SQL filter query, and generate a shareable embed link within 10 minutes, with all processing occurring in-browser.

MVP scope

What ships now and what waits

Included

Browser project workspace with GeoJSON and GeoParquet import
MapLibre interactive map with layer styling controls
DuckDB-WASM spatial SQL console
Attribute table inspection panel
Shareable embed link via managed storage API

Excluded

3D tiles and planetary basemaps
Desktop, Android, and Jupyter clients
Plugin marketplace
Server-side geoprocessing
Real-time collaborative editing

UX and user flow

Screens, actions, and states

Project workspace

Main interface with map canvas, layer sidebar, SQL console, and attribute table.

Create projectImport fileSelect layerOpen SQL consoleClick share

Layer import panel

Drag-and-drop zone for GeoJSON and GeoParquet files with geometry type detection.

Drag fileConfirm importView layer summary

Layer styling panel

Controls for fill color, stroke width, stroke color, and opacity per layer.

Adjust fill colorSet stroke widthChange opacityApply style

SQL console

Code editor for DuckDB-WASM spatial SQL queries with result preview as derived layer.

Write queryRun queryView result layerClear console

Share dialog

Generates embeddable link by serializing project state to managed storage.

Click shareCopy embed linkView read-only preview

Primary flow

Create project
Import GeoJSON file
Style layer
Run spatial SQL filter
Share embed link

Loading, empty, and error states

Empty project with no layers
Importing file with progress indicator
Layer loaded and rendered on map
SQL query running with spinner
Query result added as derived layer
Share link generated and copied

Core entity outline

Entities and business rules

GIS Project

Top-level container for layers, styles, queries, and share state.

Fields: id, name, created_at, share_token, share_url
Relations: Has many Data Layers, Has many Spatial Queries, Has one Map Style

Data Layer

Represents an imported or derived spatial dataset rendered on the map.

Fields: id, project_id, name, source_type, geometry_type, feature_count, is_derived
Relations: Belongs to GIS Project, Has one Map Style

Map Style

Stores visual styling properties for a layer.

Fields: id, layer_id, fill_color, stroke_color, stroke_width, opacity
Relations: Belongs to Data Layer

Spatial Query

Stores a DuckDB-WASM SQL statement and its result layer reference.

Fields: id, project_id, query_text, result_layer_id, executed_at
Relations: Belongs to GIS Project, Produces one Data Layer

Shared Project

Serialized project state stored in managed backend for embeddable access.

Fields: id, project_id, share_token, serialized_state, created_at, view_count
Relations: Belongs to GIS Project

Business rules

A project must contain at least one data layer before sharing is enabled.
Derived layers from SQL queries inherit the coordinate reference system of their source layer.
Share links render a read-only map view and do not expose the SQL console or import panel.
Local-only projects that are never shared do not sync any data to managed storage.
File imports are limited to GeoJSON and GeoParquet formats in the MVP.

Architecture and data flow

Components, integrations, and controls

React workspace shell

Renders split-pane UI, manages panel state, and coordinates user actions across map, console, and table.

MapLibre GL JS renderer

Displays interactive vector map, applies layer styles, and handles pan, zoom, and feature selection.

DuckDB-WASM engine

Loads imported spatial data into in-browser tables, executes spatial SQL queries, and returns result geometries.

File import handler

Parses GeoJSON and GeoParquet files, detects geometry type, and registers layers in the DuckDB-WASM instance.

Managed storage API

Receives serialized project state, persists layer metadata and styles, and serves read-only embed views.

Integrations

MapLibre GL JS for map rendering
DuckDB-WASM with spatial extension for in-browser SQL
Railway-hosted API for shared project storage
Optional Make webhook for share notifications

Data flow

User drags GeoJSON file into import panel
File import handler parses geometries and loads data into DuckDB-WASM table
MapLibre renders features using layer style properties
User writes SQL in console; DuckDB-WASM executes and returns result rows
Result geometries render as a new derived layer on the map
On share, project state serializes to JSON and POSTs to managed storage API
API returns share token and embeddable URL

Failure handling

If a file exceeds browser memory, display a message recommending a smaller subset and abort import
If DuckDB-WASM query fails, show the SQL error in the console without crashing the workspace
If the managed storage API is unreachable during share, queue the request locally and retry on reconnect
If a geometry type is unsupported by MapLibre, log a warning and skip rendering that feature

Security

Local file data never leaves the browser unless the user explicitly shares a project
Share links use opaque tokens rather than sequential IDs
Embeddable views are read-only and do not expose raw SQL or import endpoints

Rate limits

Managed storage API allows 50 project share requests per hour per browser session
DuckDB-WASM query execution is limited to 30 seconds per query to prevent browser lockup

Deliverables and acceptance

Definition of done for the MVP

Deliverables

React workspace with MapLibre map, layer sidebar, SQL console, and attribute table
GeoJSON and GeoParquet file import with geometry detection
DuckDB-WASM spatial SQL console with result layer rendering
Layer styling controls for fill, stroke, and opacity
Railway-hosted managed storage API with share link generation
Read-only embeddable map view accessible via share token

Acceptance criteria

An analyst can import a 50 MB GeoJSON file and see features rendered on the map within 30 seconds.
An analyst can apply fill color, stroke width, and opacity changes to a layer and see the map update in real time.
An analyst can write and execute a spatial SQL filter query in DuckDB-WASM and see the result as a new derived layer.
An analyst can click share and receive an embeddable URL that opens a read-only interactive map in a new browser tab.
Local-only projects that are never shared do not produce any network requests to the managed storage API.

Recommended stack

Enough technology for the first version

Frontend framework

React

Component-driven UI for split-pane workspace with map canvas, SQL console, and attribute table panels.

Map rendering

MapLibre GL JS

Open-source interactive map renderer with styling support and vector tile display, matching the local-first philosophy.

Spatial compute

DuckDB-WASM

In-browser analytical SQL engine with spatial extension, enabling local-first queries without server round-trips.

Backend hosting

Railway

Deploys managed storage API for shared project serialization and embeddable link generation.

Automation glue

Make

Optional webhook handler that triggers project link generation and notifies team channels when a project is shared.

Why this is sufficient

React provides the component structure for a multi-panel geospatial workspace. MapLibre GL JS handles interactive vector map rendering with full styling control. DuckDB-WASM runs spatial SQL entirely in-browser, preserving the local-first privacy differentiator. Railway hosts the lightweight managed storage API for shared projects. Make is optional glue for share notifications, not core functionality.

Not required for the MVP

User authentication and team management in MVPPlugin development SDKMobile or desktop native buildsReal-time collaborative cursorsServer-side raster processing

Next stepTurn the blueprint into an execution plan

Copy the build prompt, model the operating cost, and choose where to deploy.

Build and ship

Execution

Build, price, and deploy the MVP

Once the blueprint is clear, use the prompt, cost model, and deployment options to start building.

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Cost calculator

Model the MVP operating cost

A technical run-cost estimate for the first production version. Team, acquisition, payment fees, and business COGS are excluded.

Estimated monthly total$5.1-$26

$1.02-$5.25 per 100 data layers

Data layers processed / month500 data layers

Selected pathEasiest

Pricing checkedAug 2, 2026

Cost breakdown

$5.1-$26 per month

Low and high values allow for usage variance and plan headroom.

Managed application stack

Managed app, database, and worker capacity for the beta workload.

1K data layers included, then $5-$20 per 1K data layers

$5-$25

Spatial data processing

Layer loading, spatial SQL, and analysis work driven by dataset volume.

0 included, then $0.02-$0.25 per 100 data layers

$0.1-$1.25

Included

Application hosting
Database and background processing
Required product modules

Not included

Labor
Marketing
Taxes and legal review
Enterprise compliance work

Pricing basis

The estimate combines the selected infrastructure path, required operating modules, selected optional modules, and usage above included monthly allowances. Taxes and regional uplifts are excluded.

Railway pricing Cloudflare R2 pricing

Deployment options

Pick the operational tradeoff

Choose based on operating preference, not only the headline price.

EasiestRecommended

Railway

Run the web app, database, and background jobs with a small operational footprint.

$5-$25/month plus usage modules

Good fit

Managed beta
Fast deployment
Background jobs

Limitation

Service usage and background workloads can exceed the base plan.

Deploy on Railway

Cheapest

Vultr

Run the app, worker, and database on one small Vultr VPS with Docker Compose and explicit backups.

Varies by selected stack

Good fit

Hands-on operator
Small pilot
Low fixed cost

Limitation

You manage more setup, backups, monitoring, and upgrades.

Deploy on Vultr View the lean VPS guide

More control

DigitalOcean

Separate application, worker, data, storage, and backup responsibilities as the workload grows.

$10-$60/month plus usage modules

Good fit

Dedicated capacity
Custom services
Operator control

Limitation

Security updates, backups, observability, and scaling remain your responsibility.

Explore DigitalOcean View the separated cloud guide

Start building

Prototype, automate, then deploy

Recommended route

01Vibe-coding builderGeospatial workspace UI

Build the React split-pane interface with a MapLibre map canvas, layer sidebar, SQL console, and attribute table panel. Wire local file import to register layers and render geometries.

Open Lovable 02AutomationShare webhook automation

Optionally configure a Make scenario that listens for project-share webhooks from the Railway API and posts a notification with the embed link to a Slack or Teams channel.

Open Make 03DeployManaged project storage API

Deploy a lightweight Node or Python API that accepts serialized project state, stores layer metadata and style definitions, and returns an embeddable read-only project link.

Open Railway

GeoLibre: Local-First Geospatial Workspace

Is this worth validating?

Build this if

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Validate first

Why this exists

Customer problem

Who pays

Business model

What do you need next?

What would it take to run?

Build the first paid use case

Who it serves and what it must change

What ships now and what waits

Included

Excluded

Screens, actions, and states

Primary flow

Loading, empty, and error states

Entities and business rules

Business rules

Components, integrations, and controls

Integrations

Data flow

Failure handling

Security

Rate limits

Definition of done for the MVP

Deliverables

Acceptance criteria

Enough technology for the first version

React

MapLibre GL JS

DuckDB-WASM

Railway

Make

Why this is sufficient

Not required for the MVP

Build, price, and deploy the MVP

Copy this into a builder

Your build prompt is ready

Model the MVP operating cost

Usage assumptions

$5.1-$26 per month

Included

Not included

Pricing basis

Pick the operational tradeoff

Railway

Good fit

Limitation

Vultr

Good fit

Limitation

DigitalOcean

Good fit

Limitation

Prototype, automate, then deploy

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