geodb: managed geospatial stack, $3K a month, self-reported in 2022

geodb provides a managed service for geospatial data science, visualization, and application development. Its $3K a month was founder-reported on the Indie Hackers product page (not independently verified), as of July 2022.

What it actually sells

geodb provides “Geospatial Data Science, Visualization & Application Development, all as a single managed service.” The service includes Managed PostgreSQL, CartoDB, and a geospatial data science environment.

How it charges

Machine-based plans start at $75/mo, with scalable pricing and resizing available. The pricing page also says, “you can always resize later.”

Where customers come from

The site identifies “Data Science Teams” as users of geodb. It lists “Use Preloaded Jupyter Notebooks” and “Use Preinstalled Spatial Analysis Libraries” under their use of the service. Customer acquisition channels are not disclosed.

What stands out

geodb lists a “Fully Managed Geospatial Stack” and says, “We take care of backups, upgrades & performance so you can focus on work.” Every account comes with a Python 3.6+ Jupyter Lab environment, and the site lists “Dedicated PostGIS/CartoDB in just 3 Steps.”

From the official site

Data Science Teams 1. Use Preloaded Jupyter Notebooks 2. Use Preinstalled Spatial Analysis Libraries

We take care of backups, upgrades & performance so you can focus on work

Excerpts from the official website, fetched October 1, 2026.

Where it sits in the data

geodb's $3K a month is higher than 53% of the 6,604 projects with founder-reported monthly revenue in our dataset; the median across them is $2K. Snapshot: 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.

Currency

All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.

Could you build something like this?

In my view, demand would come from data science teams that need notebooks, spatial-analysis libraries, PostgreSQL, PostGIS, and CartoDB in a managed workspace. The buyer is the team responsible for geospatial data work, and distribution would depend on reaching those teams through developer, data-science, and geospatial communities.

Building the service would require operational work across managed databases, backups, upgrades, performance, environments, and support. General regulation, infrastructure costs, service reliability, and competition would also matter.

Verdict: Needs real work.

One thing to take from it

The product brings Managed PostgreSQL, CartoDB, Python, Jupyter Lab, notebooks, and spatial-analysis libraries into one managed service. Its stated users are Data Science Teams working with notebooks and spatial-analysis libraries.

Sources

geodb official website, fetched October 1, 2026
geodb pricing page, fetched October 1, 2026
Indie Hackers product page: revenue founder-reported on the Indie Hackers product page (not independently verified), as of July 2022

Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure