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Ever wondered how to actually measure the success of your design system? 🤔📊
This resource breaks it down in a way that finally makes sense — from adoption metrics to efficiency gains and real product impact. No fluff, just practical insights you can actually use.
If you're working on a design system (or planning to build one), this is the kind of guide you’ll want to bookmark 🔖
✨ Featured under: https://uiuxshowcase.com/resources/the-design-system-metrics-collection/
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The network for creativity
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Did you know your home reflects how much you read?
Not a metaphor. A literal one.
Add a book. Set a timer. Watch your apartment slowly come alive as you read. Dust clears in real time. Rooms bloom from neglect to warmth. Stop reading and watch it all fade back.
The Problem
Most reading trackers are lists. Cold. Forgettable. They record what you have not done without making you feel anything about it. You open the app, see a number, close the app. Nothing changes inside you.
Shelf Life is built around a different belief. Your habits should live somewhere. They should breathe. They should have consequences you can see.
Your bedroom holds the book you read before sleep. Your kitchen holds the article you meant to finish over coffee. Your study holds the essay you keep putting off. Read consistently and each space blooms back to life through an organic dust clearing animation driven by your actual reading time. Neglect your reading and the dust returns. Your home becomes a mirror of your habits. Honest and quiet and impossible to ignore.
I deliberately chose not to let users upload or read books inside the app. The moment you can read inside a tracker it stops being a tracker and starts competing with the experience of actually holding a book. Shelf Life honours the ritual of reading without replacing it.
How It Was Built
I started with a design philosophy before I started with a prompt. Warmth. Craft. Human first. Every decision was made to make the user feel something not just complete a task.
The isometric apartment and all ten room images including the neglected and bloomed states for each of the five rooms were generated entirely using Figma Weave. I used Figma for rapid design ideation and layout exploration before moving into Figma Make.
In Figma Make I built the full app in React and TypeScript. The core technical challenge was the dust clearing animation. It uses an SVG mask system with organic circular spots growing via requestAnimationFrame running in parallel with the reading timer. Each spot has its own delay and duration so the reveal feels natural and alive rather than mechanical. The same spots reverse in mirror order when the room returns to neglected. The animation runs both ways. Forward when you read. Backward when you stop.
Room specific ambient music plays in each space. The bedroom has soft rain and piano. The kitchen has morning acoustic warmth. The living room has fireplace crackle. The study is near silence. Each room sounds like it feels.
Tools Used
Figma Weave for AI image generation across all ten room backgrounds
Figma for design ideation and layout
Figma Make for the full app built in React and TypeScript
The Moment That Matters
Start a reading timer. Watch your room slowly clean itself in real time. Organic dust spots grow across the image revealing the bloomed version beneath. It is not a progress bar. It is not a percentage. It is your home breathing back to life because you chose to read.
When the timer ends the room holds its bloomed state then gradually returns to neglect. The direction of the animation tells you everything about your relationship with reading that week.
Most people go quiet when they watch it happen for the first time.
• 9h
First time participating in a Contra challenge.
I'm primarily a Webflow & Framer developer, so most of my work involves implementing design decisions rather than making them.
That led me to a question:
How do you actually train your design eye?
So I've been building EyeCheck — a design perception experiment that tests spacing, typography, hierarchy, color, and visual judgment while comparing your answers with community consensus.
One thing I've already discovered while building it:
Designers agree far less than I expected.
Some decisions reach 90%+ agreement.
Others are nearly 50/50.
And those are usually the most interesting conversations.
Still refining the experience before submission, but I'd love feedback from the design community:
What's one design decision you think people consistently get wrong?
#ConfigMakeathon #Figma #DesignSystems #ProductDesign #WebDesign
good work!
• 4h
Nucleus — A Premium Dark SaaS Homepage Built for Design System Teams, Designed in Figma.
I noticed most design system homepages lead with features rather than feeling. My approach was to lead with motion and visual tension first — make the visitor feel the product before reading about it.
Good work!
Challenges
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