For years we helped other startups and studios to build other people's websites, products & brands.
Today we're launching Componine Creative Studio.
A few things we care about:
→ Staying close to the work. You'll talk to the founder directly, not someone passing your brief down a chain.
→ Keeping things under one roof. Web, product, brand, motion, all in the same place.
→ Quality over quantity. We only take on a limited number of projects at a time, so nothing gets rushed or watered down.
New site is live. Visit Componine.com (https://www.componine.com/)
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Land of Moe
A custom baby blanket brand, and the storefront that sells it. Moms browse the patterns, pick the size and the back fabric, and the finished configuration lands in WhatsApp.
What I built
The catalogue: every pattern in one grid, filtered by the brand's own tags — animals, letters, colours, occasions — and sorted by price or date. Over a hundred tags, and search answers "bunny" with ninety-four patterns.
Product pages that configure the product: type, size, backside (printed fleece, or a minky dot colour), quantity, with the front and back of the pattern shown side by side.
An order that carries its own configuration into WhatsApp. Pattern, type, size, backside, price and quantity are written into the message before it is sent, so the conversation starts at the right blanket instead of at the beginning.
The pages the shop runs on: how to order, washing instructions, FAQ, about — plus a customer gallery built from the brand's own Instagram posts, so the social proof lives on the site and not only in the feed.
Behind the login, a back office where the patterns, tags, prices and pages live as data rather than hand-built pages.
Stack
Next.js, Tailwind CSS, Cloudflare.
Land of Moe has been making these since 2017, and everything is made to order, so the storefront is built around how an order actually happens.
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Built a full-stack AI-powered nutrition recommendation platform for athletes, combining a modern web application with a personalized recommendation engine. The system manages athlete profiles, nutrition data, food ratings, meal planning, and analytics while using Collaborative Filtering and Cosine Similarity to generate personalized food recommendations.
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