# I Built This! Published articles for I Built This!. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Building real-time, generative UIs for analytics with Tinybird DevFeed: [Building real-time, generative UIs for analytics with Tinybird]() Original publisher: [Read original article]() Author: Zahle K. Published: 2025-10-17T10:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [data](), [real-time]() Tags: [building](), [data](), [generative](), [how-to](), [i-built-this](), [real-time]() ### AI overview A tutorial on creating rich, generative analytics user interfaces backed by real-time data with Tinybird and C1 by Thesys. ### Source excerpt Learn how to create rich, generative analytics UIs backed by real-time data using Tinybird and C1 by Thesys. ## Web Analytics Architecture for Multitenancy and AI DevFeed: [Web Analytics Architecture for Multitenancy and AI]() Original publisher: [Read original article]() Author: Víctor Ramírez, Alberto Romeu Published: 2025-08-13T14:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [Web](), [Multitenancy](), [Artificial Intelligence]() Tags: [ai](), [analytics](), [architecture](), [i-built-this](), [multitenancy](), [web]() ### AI overview The article describes the architecture of a web analytics platform that uses multitenancy and AI to serve thousands of customers from one platform. ### Source excerpt Web analytics with multitenancy and AI serves thousands of customers from one platform. Here's the architecture behind it. ## Build a Ghost analytics agent with Vercel AI SDK and Tinybird DevFeed: [Build a Ghost analytics agent with Vercel AI SDK and Tinybird]() Original publisher: [Read original article]() Author: Cameron Archer Published: 2025-08-06T10:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [vercel ai sdk](), [Claude](), [Artificial Intelligence](), [Vercel](), [data](), [real-time]() Tags: [agent](), [ai](), [claude](), [data](), [i-built-this](), [real-time](), [vercel](), [vercel-ai-sdk]() ### AI overview A tutorial on building a Ghost analytics agent with Vercel AI SDK and Tinybird, giving Claude real-time access to publishing data. ### Source excerpt Build a Ghost analytics agent with Vercel AI SDK and Tinybird. Give Claude real-time access to your publishing data. ## Orchestrating multi-agent workflows with Claude Code and Tinybird Code DevFeed: [Orchestrating multi-agent workflows with Claude Code and Tinybird Code]() Original publisher: [Read original article]() Author: Cameron Archer Published: 2025-07-28T10:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [Claude Code](), [Code](), [data]() Tags: [claude-code](), [code](), [data](), [how-to](), [i-built-this](), [multi-agent](), [workflows]() ### AI overview The article describes using Claude Code and Tinybird Code to orchestrate multi-agent workflows for automating complex data tasks. ### Source excerpt Multi-agent workflows with Claude Code and Tinybird Code automate complex data tasks. Here's how to orchestrate them effectively. ## Building a product feedback loop with Tinybird MCP and LLM DevFeed: [Building a product feedback loop with Tinybird MCP and LLM]() Original publisher: [Read original article]() Author: Ramiro Aznar, Alberto Romeu Published: 2025-07-15T10:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [Model Context Protocol](), [Large Language Model]() Tags: [building](), [i-built-this](), [llm](), [mcp](), [product]() ### AI overview The article describes building a product feedback loop with Tinybird MCP, Plain, and one LLM prompt to automatically deliver customer insights to a team. ### Source excerpt Build a product feedback loop with Tinybird MCP, Plain, and one LLM prompt. Customer insights delivered automatically to your team. ## Turning Spain's blackout into real-time insights DevFeed: [Turning Spain's blackout into real-time insights]() Original publisher: [Read original article]() Author: Iago Enríquez Published: 2025-07-11T10:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [data analytics](), [real-time](), [data]() Tags: [analytics](), [data](), [data-analytics](), [i-built-this](), [real-time]() ### AI overview The article examines how real-time data analytics could help understand the work of the electric grid in the context of Spain's blackout. ### Source excerpt How real data analytics could help to understand electric grid's work ## Local development: Redpanda Kafka + Tinybird with Docker Compose DevFeed: [Local development: Redpanda Kafka + Tinybird with Docker Compose]() Original publisher: [Read original article]() Author: Gonzalo Gómez Published: 2025-07-09T10:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [Kafka](), [Docker Compose](), [ci](), [Development]() Tags: [ci](), [compose](), [docker](), [i-built-this](), [kafka](), [pipelines](), [production]() ### AI overview This article presents a local development setup using Redpanda Kafka, Tinybird, and Docker Compose, along with custom CI for Tinybird pipelines. The setup catches errors before deployments reach production. ### Source excerpt Custom CI for Kafka and Tinybird pipelines prevents broken deployments. This setup catches errors before they reach production. ## How to build CI/CD pipelines for real-time analytics projects DevFeed: [How to build CI/CD pipelines for real-time analytics projects]() Original publisher: [Read original article]() Author: Gonzalo Gómez Published: 2025-05-25T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [CI/CD](), [data](), [real-time]() Tags: [analytics](), [best-practices](), [ci-cd](), [how-to](), [i-built-this](), [pipelines](), [real-time]() ### AI overview This article presents best practices for building CI/CD pipelines for real-time analytics projects and highlights that data pipelines can fail differently from application code. ### Source excerpt CI/CD for data pipelines fails differently than application code. These best practices prevent the mistakes we've seen repeatedly. ## IoT monitoring with Kafka and Tinybird DevFeed: [IoT monitoring with Kafka and Tinybird]() Original publisher: [Read original article]() Author: Gonzalo Gómez Published: 2025-05-20T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [Internet of things](), [Kafka](), [Monitoring]() Tags: [architecture](), [events](), [i-built-this](), [iot](), [kafka](), [monitoring]() ### AI overview The article presents an architecture for monitoring millions of IoT events per second using Kafka and Tinybird. ### Source excerpt Millions of IoT events per second and your monitoring can't keep up. Kafka plus Tinybird fixes that. Here's the architecture. ## How Inbox Zero uses Tinybird for real-time analytics DevFeed: [How Inbox Zero uses Tinybird for real-time analytics]() Original publisher: [Read original article]() Author: Elie Steinbock Published: 2025-04-04T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [product analytics](), [real-time](), [dashboards]() Tags: [analytics](), [dashboards](), [i-built-this](), [product-analytics](), [real-time]() ### AI overview The article explains how Inbox Zero uses Tinybird for internal product analytics and user-facing real-time dashboards. ### Source excerpt Here's how we use Tinybird at Inbox Zero to power both our own internal product analytics and user-facing, real-time dashboards. ## We made an open source LLM Performance Tracker DevFeed: [We made an open source LLM Performance Tracker]() Original publisher: [Read original article]() Author: Cameron Archer, Alberto Romeu Published: 2025-04-03T00:00:00Z Content type: release Language: en Sources: [Tinybird]() Topics: [Large Language Model](), [Latency](), [Artificial Intelligence](), [Open Source]() Tags: [ai](), [i-built-this](), [latency](), [llm](), [models](), [open-source](), [performance](), [tokens]() ### AI overview Tinybird introduces an open-source LLM Performance Tracker that monitors latency, token usage, and costs across AI calls. ### Source excerpt The LLM Performance Tracker monitors latency, tokens, and costs across all your AI calls. Stop guessing what your models are doing. ## Real-time inventory management with lambda architecture DevFeed: [Real-time inventory management with lambda architecture]() Original publisher: [Read original article]() Author: Ana Guerrero Published: 2025-03-28T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [real-time]() Tags: [architecture](), [how-to](), [i-built-this](), [real-time]() ### AI overview The article explains how Lambda architecture can support real-time inventory management by balancing speed and accuracy, with the goal of tracking stock without overselling. ### Source excerpt Real-time inventory management with Lambda architecture balances speed and accuracy. Here's how to track stock without overselling. ## How I Vibe Coded an Internal Anomaly Detection System DevFeed: [How I Vibe Coded an Internal Anomaly Detection System]() Original publisher: [Read original article]() Author: Ramiro Aznar Published: 2025-03-26T00:00:00Z Content type: opinion Language: en Sources: [Tinybird]() Topics: [Code](), [Tool]() Tags: [code](), [i-built-this](), [tools]() ### AI overview The article describes how the author vibe coded an internal anomaly detection system that had previously taken months to build and deploy. ### Source excerpt How I vibe coded an internal anomaly detection system that had previously taken me months to build and deploy. ## The simplest way to count 100 billion unique IDs: Part 1 DevFeed: [The simplest way to count 100 billion unique IDs: Part 1]() Original publisher: [Read original article]() Author: Ariel Pérez Published: 2025-03-25T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [real-time](), [Apache Cassandra](), [Kafka](), [Redis](), [Reddit]() Tags: [cassandra](), [i-built-this](), [kafka](), [real-time](), [reddit](), [redis]() ### AI overview A tutorial on building a simpler real-time system for counting unique IDs at very large scale, using Kafka, Redis, and Cassandra as part of the design. ### Source excerpt How to build a simpler, real-time version of Reddit's complex system for counting unique IDs, involving Kafka, Redis, and Cassandra. ## Building a Datadog Alternative: Alerts, Dashboards, and Retention Policies DevFeed: [Building a Datadog Alternative: Alerts, Dashboards, and Retention Policies]() Original publisher: [Read original article]() Author: Alberto Romeu Published: 2025-02-26T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [observability](), [dashboards](), [datadog]() Tags: [build](), [dashboards](), [datadog](), [i-built-this](), [observability](), [retention](), [scale]() ### AI overview A tutorial on building a Datadog alternative by adding alerts, dashboards, and retention policies to an observability stack. ### Source excerpt Build a Datadog alternative part 2: add alerts, dashboards, and retention policies. Complete your observability stack today. ## Tutorial: Build observability dashboards as a Datadog alternative DevFeed: [Tutorial: Build observability dashboards as a Datadog alternative]() Original publisher: [Read original article]() Author: Alberto Romeu Published: 2025-02-26T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [dashboards](), [datadog](), [observability](), [Tutorial]() Tags: [build](), [dashboards](), [datadog](), [how-to](), [i-built-this](), [observability](), [tutorial]() ### AI overview This tutorial explains how to create observability dashboards from scratch as an alternative to Datadog. ### Source excerpt Build a Datadog alternative in 5 minutes. Seriously. This tutorial shows how to create observability dashboards from scratch. ## Build a data-intensive Next.js app with Tinybird and Cursor DevFeed: [Build a data-intensive Next.js app with Tinybird and Cursor]() Original publisher: [Read original article]() Author: Cameron Archer Published: 2025-02-13T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [Next.js](), [cursor](), [data]() Tags: [cursor](), [data](), [i-built-this](), [next-js]() ### AI overview A tutorial about building a data-intensive Next.js app with Tinybird and Cursor, with a focus on shipping analytics features faster. ### Source excerpt Build a data-intensive Next.js app with Tinybird and Cursor. Ship analytics features faster than your backend team expected. ## Analyzing the Dub.co analytics playbook DevFeed: [Analyzing the Dub.co analytics playbook]() Original publisher: [Read original article]() Author: Alberto Romeu Published: 2025-01-29T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [Software as a service]() Tags: [analytics](), [i-built-this](), [saas]() ### AI overview An analysis of Dub.co's analytics approach as an example of a successful modern SaaS business. ### Source excerpt Dub is an archetype of the successful modern SaaS. Learn from their success and model their approach to analytics. ## Logging 150M+ link clicks: how Dub built webhook event logs DevFeed: [Logging 150M+ link clicks: how Dub built webhook event logs]() Original publisher: [Read original article]() Author: Alasdair Brown Published: 2025-01-23T00:00:00Z Content type: article Language: en Sources: [Tinybird]() Topics: [Logging](), [debug](), [log management]() Tags: [debug](), [event](), [i-built-this](), [integrations](), [logging](), [logs](), [visibility](), [webhooks]() ### AI overview The article describes Dub webhook event logs, which show what happened and when, and explains that complete event visibility helps developers debug integrations faster. ### Source excerpt Dub webhooks event logs show exactly what happened and when. Debug integrations faster with complete event visibility. ## Building a Resend analytics dashboard DevFeed: [Building a Resend analytics dashboard]() Original publisher: [Read original article]() Author: Alasdair Brown Published: 2025-01-20T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [dashboards](), [real-time]() Tags: [analytics](), [building](), [how-to](), [i-built-this](), [real-time]() ### AI overview A tutorial on building a Resend analytics dashboard to track email bounces, opens, and deliveries in real time. ### Source excerpt Sending emails is painful. Knowing if they actually work? Worse. Here's how to track every bounce, open, and delivery in real time. ## I rebuilt the Auth0 Activity Page with webhooks and Tinybird DevFeed: [I rebuilt the Auth0 Activity Page with webhooks and Tinybird]() Original publisher: [Read original article]() Author: Alberto Romeu Published: 2025-01-16T00:00:00Z Content type: opinion Language: en Sources: [Tinybird]() Topics: [Auth0]() Tags: [auth0](), [i-built-this](), [webhooks]() ### AI overview The author describes rebuilding the Auth0 activity page with additional features and webhooks to learn more about user growth. ### Source excerpt If you know, you grow. I rebuilt the Auth0 activity page with added features so I can learn more about my user growth. ## Measure deployment velocity with Vercel and Tinybird DevFeed: [Measure deployment velocity with Vercel and Tinybird]() Original publisher: [Read original article]() Author: Alasdair Brown Published: 2025-01-13T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [Deployment](), [Vercel](), [Next.js]() Tags: [app](), [deployment](), [how-to](), [i-built-this](), [next-js](), [velocity](), [vercel](), [webhooks]() ### AI overview A tutorial on using Vercel webhooks, Tinybird, and Next.js to build a simple app that tracks deployment velocity. ### Source excerpt Learn how to use Vercel webhooks, Tinybird, and Next.js to build a simple app that tracks your deployment velocity. ## How to analyze usage from your MCP Server DevFeed: [How to analyze usage from your MCP Server]() Original publisher: [Read original article]() Author: Cameron Archer, Alberto Romeu Published: 2024-12-09T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [MCP Server](), [MSP MCP](), [Grafana](), [monitor](), [Claude](), [debug]() Tags: [claude](), [debug](), [grafana](), [how-to](), [i-built-this](), [mcp](), [mcp-server](), [monitor]() ### AI overview A tutorial on monitoring an MCP Server for Claude using Tinybird and Grafana. It covers tracking errors, analyzing usage, and debugging issues. ### Source excerpt Built an MCP Server for Claude? Now monitor it properly. Track errors, analyze usage, and debug issues with Tinybird and Grafana. ## Building an Insights page for your SaaS: from idea to production DevFeed: [Building an Insights page for your SaaS: from idea to production]() Original publisher: [Read original article]() Author: Gonzalo Gómez Published: 2024-12-05T00:00:00Z Content type: tutorial Language: en Sources: [Tinybird]() Topics: [Software as a service]() Tags: [analytics](), [building](), [how-to](), [i-built-this](), [retention](), [saas]() ### AI overview This tutorial describes building an insights page for a SaaS product, adding analytics intended to increase retention and encourage users to check the page daily. ### Source excerpt Building an insights page for your SaaS increases retention. Here's how to add analytics your users will actually check daily. [Next page]()