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What if you could see the world through the eyes of a local? 🧐
A quick search doesn't always cut it. We get funneled toward the same generic spots, and half the time we don't even know why something's being recommended to us.
Incola fixes that. Just ask someone who actually knows the place you're heading to. 🧳
Where should I go if I love history and I've got 2 days in New York? Where do I find open-air house music events in Tokyo? Ask a local. And while you're at it, help other travelers by answering the open questions about your own city.
Try it now! The more people jump in, the faster we leave the cold start problem behind. 😄
Can't believe I'm saying this, but all of this was built in Figma Make.
Try Incola: https://vary-mac-30681003.figma.site
More insights coming soon.
See the world through the eyes of a local' — that's such a compelling angle. Generic recommendations are the worst. Love the community-powered approach!
thank you! 😊
This is so cool! this is going to be such a fun way to make an itinerary when travelling
highly appreciate it!
Love the visual direction here. The attention to detail really stands out.
soft design, I really like it =)
Nice
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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Did you know a tornado formed the year you were born?
Not a real one. A data one.
Type your birth year. Watch the storm react - the speed, the color, the rage of it - all driven by the exact CO₂ levels recorded that year.
🌪️Live Site - https://thedatatornado.figma.site
💻GitHub Repo - https://github.com/isumenuka/Thedatatornado
🔬 The Problem
Climate change is the most documented crisis in human history. Scientists have been collecting data for over 65 years. But most people feel nothing when they see the numbers - because a wall of data doesn't make you care. That is a design problem. The Data Tornado is my answer.
⚙️ How It Was Built
I started in FigJam - mapping the full app structure, severity color system (Stable → Elevated → Critical → Extreme), and the 65-year climate timeline before touching any build tool.
In Figma Make, I loaded my complete design guidelines first - colors, fonts, spacing rules - so every generated output matched my vision from the first prompt. That one step eliminated hours of corrections.
The MCP connector was the most critical technical piece: a custom live pipeline to NOAA's servers, pulling real CO₂ and temperature readings automatically every time someone opens the app. No downloading. No pasting. Always live.
The hero background video was generated entirely in Figma Weave - I set a start frame and end frame, and Weave generated the full atmospheric storm footage between them. The Figma Agent handled precision edits throughout -clicking directly on individual elements, repositioning buttons, aligning sections, without touching anything else.
Supabase powers the share cards, news gallery, and live data caching. GitHub handles deployment.
🛠️ Tools Used
→ FigJam: full app structure, severity system & data flow diagrams
→ Figma Make: prompt-to-code app with custom NOAA MCP connector
→ Figma MCP: live pipeline direct to NOAA's climate API
→ Figma Weave: AI video generation for the hero storm background
→ Figma Agent: precision element-level UI edits throughout the build
→ Supabase: backend for share cards, news & data caching
→ GitHub: deployment and version control
✨ Key Feature - Birth Year Telemetry
Enter your birth year. The app instantly generates your personal climate log -the exact CO₂ concentration the year you arrived in the world, your temperature anomaly then vs. now, your severity level at birth vs. today. It stops being a global statistic. It becomes yours.
Most people go quiet when they see their own number.
What happened on the day you were born? Share your link in the comments!
THIS IS MINE - https://thedatatornado.figma.site/?share=d9844bb7-12d7-4c5a-94e8-ebd84ade9f8b
Pilah is an AI-powered waste sorting assistant built to solve one of Indonesia’s most visible daily problems: confusion around waste disposal. Even though the country generates massive amounts of waste every day, many people still struggle to sort it correctly. Pilah helps bridge that gap by making recycling easier, faster, and more intuitive for everyone.
With just a camera, users can point at any piece of trash and let AI do the thinking. Pilah identifies the item, gives clear disposal instructions, and logs the user’s positive impact instantly. Beyond sorting, it also helps users understand why their actions matter through an Impact tab that tracks weekly progress and compares personal contribution to the national scale.
To make the experience more engaging, Pilah turns waste sorting into a journey. Users can earn badges, build streaks, and download custom posters to share with friends and encourage more people to join the movement. It’s not just a scanner — it’s also a learning hub for sustainable living, with practical guides like home composting and other everyday eco-friendly habits.
Built entirely with Figma Make and connected to a live Supabase backend, Pilah is my way of using design and technology to create something purposeful, useful, and socially relevant. It reflects my belief that small actions can create real impact when the experience is simple, motivating, and accessible.
Figma site link: https://goal-finite-12613920.figma.site
Ready for Config Makeathon
I joined the Config Makeathon and built BriefOS — a client brief operating system for designers, studios, and freelancers.
The problem I wanted to solve is something almost every designer deals with:
Client projects rarely start clean.
They usually start with scattered notes, vague goals, random references, unclear positioning, mixed opinions, and no approved direction. That chaos creates slow starts, endless revisions, weak strategy, and confusion between the designer and the client.
So I built BriefOS to turn that mess into a clear, structured website blueprint.
The idea:
Client chaos → AI signal extraction → website blueprint → visual direction → wireframe → client approval
Inside BriefOS, a designer can collect messy client input, organize it into useful categories, extract important signals, build a sitemap, generate copy directions, choose visual routes, adjust wireframes, and send decisions into a client approval room.
I wanted the product to feel less like a generic AI tool and more like a real project command center.
What I built:
Command Center to track the full project workflow
Intake Wall for messy client notes, links, screenshots, and references
Signal Extractor to identify offer, audience, CTA, tone, gaps, and contradictions
Blueprint Builder for sitemap, homepage structure, copy, and conversion path
Visual Lab for mood, palette, typography, layout direction, and style routes
Wireframe Studio for reviewing and refining the homepage structure
Approval Room for client decisions, comments, approvals, and revision requests
I also focused on making the experience interactive instead of just “AI magically does everything.”
The user can tag notes, approve or reject signals, choose direction, reorder sections, compare options, adjust wireframes, and approve final decisions.
Built using Figma Make as part of the Config Makeathon.
The goal was simple:
Help designers move from confusion to clarity faster — while keeping strategy, copy, design, and client approval connected in one workflow.
Still more I’d love to improve:
deeper real data inputs
stronger drag-and-drop behavior
better client presentation mode
more polished animations
live export options
more visual direction templates
But for this version, I’m happy with the core concept: a useful AI workflow product built around a real design problem.
preview link:https://www.figma.com/make/LhthPqSGpwgLBKVoJdQLHG/Begin-Project?fullscreen=1&t=aPQZNZHYQiD53qn0-1&code-node-id=0-9
#ConfigMakeathon @figma #FigmaMake #ProductDesign #UIDesign #AIDesign #WebDesign #DesignTools #Contra
This is actually a really useful idea. Turning messy client briefs into a clear workflow solves a real problem.
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