web application

4 stories filed under web application on Beyond Market Intelligence. The newest of them: “Watch Neural Networks Learn in Real Time Right in Your Browser”, “Visualize Neural Network Training Directly in Your Browser”, and “From Agent to Interface: Building a Production-Ready UI for LangGraph”. Watching neural networks train often feels like peering into a black box. Watching neural networks train often feels like staring at a black box, but OpenTrainDNN changes that by putting the process directly in your browser. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every web application story on Beyond Market Intelligence, newest first.

Watch Neural Networks Learn in Real Time Right in Your Browser
Machine Learning

Watch Neural Networks Learn in Real Time Right in Your Browser

Watching neural networks train often feels like peering into a black box. *OpenTrainDNN* pulls back the curtain. This open-source tool runs entirely in your browser, rendering backpropagation, activation flows, and weight updates in real time, no server, no hardware drivers, no installation required. It makes the invisible mechanics of deep learning visible and approachable. If you prefer a more structured path, our *Build AI from the ground up* series offers 523 hands-on lessons to deepen that understanding.

Machine Learning

Visualize Neural Network Training Directly in Your Browser

Watching neural networks train often feels like staring at a black box, but OpenTrainDNN changes that by putting the process directly in your browser. This open-source, client-side app visualizes backpropagation, activation flows, and weight updates in real-time, no servers or special hardware required. It's a practical way to see the mechanics behind deep learning, not just theorize about them. For those wanting to dig deeper into model behavior, our related piece on real-world computer vision deployments offers a useful companion perspective.

From Agent to Interface: Building a Production-Ready UI for LangGraph
Towards Data Science

From Agent to Interface: Building a Production-Ready UI for LangGraph

Building a production-ready interface for a stateful LangGraph agent sounds like a step toward making AI tools genuinely practical. Creating a Streamlit UI matters because a powerful agent is only useful if people can actually interact with it. The focus here is on accessibility, turning complex backend logic into something approachable. It is a reminder that thoughtful design carries equal weight to the technology underneath.

Redefining data architecture with client-side event sourcing
InfoQ

Redefining data architecture with client-side event sourcing

Most spreadsheet users know the pain of wrestling a three-tier stack when all they want is a responsive app. Johannes Schickling's transition from Prisma to building Overtone shows a bolder path: client-side event sourcing with SQLite. He's not just tweaking the old model; he's questioning its core assumptions. The trade-offs between event sourcing and CRDTs are sharp, and his hands-on experience makes the abstract tangible. If you're exploring how local-first design can reshape your own workflows, this conversation is a practical starting point.