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Smart Web of Things (WoT) Thing Description (TD) Generator & RAG Search System
An intelligent, full-stack application designed to generate, validate, and search W3C-compliant Web of Things (WoT) Thing Descriptions (TDs).
This project integrates state-of-the-art Large Language Models (LLMs) with a robust self-correction validation loop and a highly optimized two-stage Retrieval-Augmented Generation (RAG) search pipeline to provide a seamless developer experience for WoT devices.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Allow me to introduce Deadli. 🚀
A fictional productivity companion designed to transform deadlines into a calmer and more focused creative experience. Built as both a collectible mascot and the central character of a digital product, Deadli represents the idea that great work doesn’t need more pressure, just the right companion.
I hope Deadli earns a place in your memory long after you’ve finished viewing this project. 😊
✨Here is the link to my project
https://www.recraft.ai/project/6b62ad39-13f8-48c3-b4eb-cf9fe1f8e45d
A founder from Silicon Valley came to us with a product that was already working.
The AI logic was solid. The backend did what it was supposed to. DataScoop could analyze metric changes, find the root causes and explain them in plain language - which, honestly, is genuinely hard to build.
The problem was everything the user actually saw.
The interface hadn't kept up with the product. There were Figma designs ready, a completely new visual direction, but no one had translated them into a working frontend yet. The existing code wasn't built to carry them. And the data visualization layer, the part that makes analytics actually readable, needed to be rebuilt from scratch.
So the ask was clear on the surface: rebuild the frontend, implement the new design, make it fast.
In practice, it was more nuanced than that.
Complex data files needed to be parsed and turned into charts that told a story, not just displayed numbers. Performance had to hold up so that insights landed in seconds, not after a loading spinner that made you forget what you were looking at. And all of it had to feel like it belonged together: the AI output, the visualizations, the interface, the Slack and email delivery.
We rebuilt the frontend in React.js and TypeScript, applied strict code quality standards from the start and worked through the Figma designs screen by screen, not just implementing them, but pressure-testing how they behaved with real data.
The hardest part wasn't any single technical problem. It was maintaining coherence, making sure that as the pieces came together, they felt like one product, not a patchwork.
The result is a platform where a data analyst can open it, see a metric move, and understand why, in plain language, in seconds, delivered wherever they actually work.
That's the version DataScoop's users have now.
Check it out
Great job
most booking platforms try to do one thing well.
what happens when you bring everything into one experience?
hotels.
flights.
cars.
real estate.
all connected through a single platform.
recently turned a figma design into a fully responsive Next.js experience focused on speed, clean interactions, and modern booking workflows.
one thing i enjoy about these projects is the challenge of balancing complexity with simplicity.
users see a smooth booking experience.
behind the scenes, there are dozens of flows, filters, states, and edge cases working together.
that's the part of product development i find most interesting.
design is important.
making complex systems feel simple is where the real work begins. 🚀
check it out
#nextjs #webdevelopment #saas #bookingplatform #productdesign #frontend #startup #algorizetech
strong visual balance
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