Groq

These three devs built Neurana because they were sick of the drag between idea and release: APIs to connect, auth to configure, infra to wrangle, yet nothing shipped. Here’s how they killed that drag and what you can steal for your builds. For devs Marcelo Bernartt, Bruno Henrique Rodrigues de Araujo, and Felipe Karimata, every project hit the same wall: setup, configuration, deployment. By the time the backend worked, the idea was already old. So they asked a dangerous question: “What if describing an app was enough to build it?” That question became Neurana, a system that turns plain language into running software. The first step wasn’t AI magic. It was identifying repetition. They realized 80% of backend work is boilerplate: REST endpoints, auth, environment setup, integrations. So they automated that first. 📘 Lesson one: automate what repeats. Every line you write twice should be a script. Next came structure. They broke the system into modular building blocks: 🔹 API builder for REST, GraphQL, and webhooks 🔹 Authentication with Google, JWT, and social login 🔹 AI agents for automations and integrations 🔹 Chatbots that deploy anywhere Each piece was self-contained but composable. 📘 Lesson two: design systems to be reused, not rebuilt. They built the interface last. Instead of starting with UX, they built a backend that could generate its own endpoints and deploy automatically. Then they added a simple layer: “Describe what you need.” The prompt became the config. 📘 Lesson three: build for what users want to exist, not what they must set up. When it launched, people used it for things they didn’t expect. Chatbots. Internal tools. Dashboards. Removing friction didn’t just make them faster, it revealed new demand. 📘 Lesson four: speed exposes new needs. Growth was fast. Too fast. Every generated API required more compute, and it added up fast. Latency climbed. Costs exploded. They had built speed into creation, but not into execution. Groq changed that. Running inference on GroqCloud cut latency by more than 50% and stabilized costs. Speed became sustainable. 📘 Lesson five: build for the bottleneck you’ll hit next, not the one right in front of you. With Groq, Neurana scaling was smooth. 90% faster development, more than 100 integrations, and near-perfect uptime. From three builders to thousands of automated workflows running every month, Neurana’s journey highlights some important lessons for developers: ✅ Automate work that repeats. ✅ Build modules meant to be reused, not rebuilt. ✅ Let users describe what they want, not what they must configure. ✅ Speed reveals the needs you couldn’t see before. ✅ Design ahead for the bottleneck you’ll hit next.

There’s a fine line between usable and used. If your feature makes people wait, they won’t wait around for you to fix it. See how Recall made knowledge retrieval real-time.👇

> what unread emails do i have? > what events do i have in my calendar for today?

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In live sports, every millisecond matters. Stats Perform runs 7.2 petabytes of data through 200+ software modules. They could’ve invested in their own hardware, but instead they chose the cloud built for inference. “The average inference speed with Groq is 7–10x faster than anything else we tested.”

Saudi ambition and American innovation working together to move AI from idea to production.

“The world doesn’t have enough compute for everyone to build AI. That’s why Groq and Equinix are expanding access, starting in Australia.” -Jonathan Ross, CEO & Founder of Groq https://lnkd.in/gSK5wnHZ

Australia, we’re live. 4.5MW of compute, now serving tokens to devs across APAC.