July 2022 layers: hot springs, drought monitor & more
Every month, Felt’s data team curates new data layers and adds them to the data library for your use.
Narrowing in TypeScript with type predicates and discriminated unions
Discriminated unions are the natural fit for working with unions in TypeScript. Here’s why I advise them over inline checks and type predicates.
When “one size fits all” fails: PostGIS bounding boxes for maps
As a mapping company, we curate and visualize all sorts of data for our users.
June 2022 layers: ZIP codes, congressional districts & more
Our Data Team is working hard to bring you useful and beautiful data layers.
Building the Figma for maps
In this article, I’ll share a bit about how we built a special canvas from the ground up to power Felt’s geospatial drawing tools.
Felt’s public beta, and a new $15M round of funding
Introducing the world’s best way to make & share maps on the internet.
Taking Hashrocket’s "Ultimate Elixir CI" to the next level
Continuous integration and deployment is the heartbeat of a software development team. That’s why we’ve invested in powerful tooling that goes way beyond the basics.
Tips for improving your Elixir configuration
As an Engineer at Felt and a core maintainer of ElixirLS, I wanted to share some of the hidden configuration improvements I’ve found in Elixir’s latest releases.
SQLAlchemy reflection and PostgreSQL for data schema flexibility
How Felt is using SQLAlchemy and PostgreSQL for maximum data schema flexibility.
Tools for fast (and less furious) frontend development
You can think of a Felt map as a space which has certain Felt elements (drawings, pins, notes, data) that live inside it.
Computer graphics in the land of maps
Using my background in computer graphics, I enable our in-house cartographer to create beautiful maps, and to render them as beautifully–and as quickly–as possible.
What it takes to make a map
The internet is being re-written, first docs, then design and now maps. Felt is approaching the complexity of multiplayer mapping head on by building the culture and infrastructure necessary to iterate quickly.
Bring your data, see it on the map
Connect a database or drop in a file and see your data live on a map in minutes.