Building In Public

A collection of 40 posts

Building In Public

We made an open source LLM Performance Tracker

You can't just build AI features, you have to operate them in production, which means observability. Here's an open source tool to watch your LLMs in real-time.

Building In Public

Hype v. Reality: 5 AI features that actually work in production

It's hard to sift through all the AI hype. Here are 5 AI features you can build that add immediate value to your app.

Building In Public

Instrument your LLM calls to analyze AI costs and usage

If you're building AI features, make sure to instrument your LLM calls so you can analyze costs, usage, and adoption. Here are a few examples in Python and TypeScript.

Building In Public

Forward: Evolving Tinybird for the AI-native developer

Announcing Tinybird Forward, a new evolution of the Tinybird user experience designed to make building real-time data applications faster and more intuitive than ever before.

ClickHouse

We added the Backup Database engine to ClickHouse

We added a new ClickHouse engine: Backup. Here's why we did it, how it's implemented, and example usage.

Building In Public

You built a Datadog alternative. Now scale it.

I bootstrapped a logs explorer, but I knew it wouldn't scale. Here's how I optimized the data pipeline for billions of logs and thousands of users.

Building In Public

Build a Datadog alternative in 5 minutes

I built an open source template that you can use to have a free, simple Datadog alternative in about 5 minutes. Here was my process for building it.

Building In Public

The perfect data ingestion API design

If you ask me, this is pretty much perfect.

Building In Public Featured

Ship data as you ship code: Deploy changes with a single command

We've redesigned the Tinybird CLI, codename "FORWARD". You can now test it in beta.

Building In Public Featured

Ship data as you ship code: Tinybird is becoming local-first.

Tinybird's local-first experience is coming. Write code. Test it locally. Push it to git. CI runs the build. It's deployed. You're done.

Building In Public

Why we created new pricing for Developer plans

Last week, Tinybird deployed a new pricing model for Developer plans. Here's a deep dive into our reasoning behind the new pricing and how it helps developers ship faster.

Building In Public

Analyzing the Dub.co analytics playbook

Dub is an archetype of the successful modern SaaS. Learn from their success and model their approach to analytics.

Building In Public

A guide to Tinybird's new pricing model

Tinybird has updated its pricing to be more predictable and flexible. Learn what's new with Tinybird's pricing, and learn how to migrate to a new plan.

Building In Public

Building a Resend analytics dashboard

Resend is a developer platform for sending transactional and marketing emails. If you don’t do much with email, well done, you’ve won in life. But if you do, Resend is probably going to save you a bunch of headaches. Once you’re set up to send with Resend,

Building In Public Featured

How to analyze usage from your MCP Server

Since Anthropic launched Model Context Protocol (MCP), thousands of developers have built MCP Servers to connect Claude AI to their unique contexts. Here's how to monitor your MCP Servers for errors and analyze usage with standard logging handlers, Tinybird, and Grafana.

Building In Public

Behind the scenes of Tinybird's big frontend refactor

We recently refactored the Tinybird frontend. Take a look behind the scenes at how we started, the choices we made, and how we arrived at a faster and simpler app deployment.

Building In Public

JWTs for API Endpoints now in public beta!

We are launching JWTs for API Endpoints into public beta! With JWTs, you can call Tinybird APIs directly from within the browser, with no middleware or other backend components necessary.

ClickHouse

ClickHouse®️ JOINs... 100x faster

We recently introduced two pull requests to ClickHouse that significantly improve JOIN performance in common scenarios.

Product

We rebuilt our docs from scratch. It was worth it.

Building modern docs begins with a modern tech stack. Here’s how we rebuilt our documentation and what it enables us to do for our customers.

Real-time Data

Iterating terabyte-sized ClickHouse®️ tables in production

ClickHouse schema migrations can be challenging even on batch systems. But when you're streaming 100s of MB/s, it's a whole different beast. Here's how we make schema changes on a large ClickHouse table deployed across many clusters while streaming… without missing a bit.

Building In Public Featured

How to scale a real-time data platform

Tinybird is an enterprise-grade data platform with large customers processing huge amounts of data. Learn how we scale to support their use cases.

Building In Public

Using Tinybird for real-time marketing at Tinybird

Here's how we use Tinybird to drive the growth of Tinybird.

ClickHouse

Resolving a year-long ClickHouse®️ lock contention

Here's how we fixed a problem that had stumped us for over a year and saw a 5x performance improvement in the process.

Why iterating real-time data pipelines is so hard

"Why can't we just use Git?"

Building In Public

Killing the ProcessPoolExecutor

A story about the Python GIL, threading, and fixing code that already works.