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Automated Code Testing system (client: Thomson Reuters). A Dockerized Python and Next.js tool that ingests a GitHub repo, auto-generates test cases, and uses LLMs to localize and debug failures, surfacing errors and edge cases to cut manual code-review cycles. Selected in week one to build it. Stack: Python, Next.js, Docker, LLMs.
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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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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