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AI-powered software projets analysed
Project Inspector was created to simplify one of the most time-consuming parts of software development: understanding an unfamiliar project.
Instead of manually exploring hundreds of files, the application automatically analyzes a project and generates a structured technical...
The network for creativity
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Connect with clients, get discovered, and run your business 100% commission-free
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Fluxo | Personal Finance Dashboard 💵
Finance apps are one of the hardest UX challenges in product design.
It's working with stress, numbers, and decisions people actively avoid making. The design has to build trust — creating an app where users feel comfortable enough to hand over their most sensitive numbers.
What I look for in a well-designed money dashboard:
Clarity over completeness — show the 3 numbers that matter, not all 47 Visual hierarchy that guides — your eye should land on the most important data first Emotional tone — dark, clean, premium = I trust this with my money Micro-context — not just €5,210 spent, but -3% vs May tells a story
This Fluxo concept gets a lot right. Cash flow visualization, spending donut, saving goal progress — all scannable in under 5 seconds.
Yes, it's just a concept. But it's built on real interaction logic between a user and a product.
What types of financial products have you worked with? 💰
#FinTech #UXDesign #ProductDesign #UIInspiration #DashboardDesign
Great breakdown. "Clarity over completeness" is the golden rule for dashboards. The high-level metric cards and subtle data comparisons make the interface feel alive and actionable, rather than just a wall of numbers. Looks incredibly clean!
Lately, I’ve been diving deep into Cursor, Claude, and AI agents.
Instead of just watching tutorials, I decided to learn by building something myself — a Figma plugin from scratch. There are already plenty of similar solutions out there, but my goal was to understand the entire creation process, from idea to a working product.
And here’s the result: I went from zero knowledge to a functioning plugin in just two days.
The plugin already helps identify issues in design files and highlights things that are easy to miss during day-to-day work. Of course, I’m still not 100% satisfied with it — there’s always room for improvement. But for a first attempt, I’m pretty happy with the outcome.
The most exciting part is that while building it, I started coming up with new ideas for Design System automation: naming conventions, component structure, style organization, and other repetitive tasks that could be streamlined with AI.
Looks like this is just the beginning 😄
Tech stack: Cursor, Claude, ChatGPT, and the Figma Plugin API.
For now, here’s a look at what I’ve built so far 👇
Wowww, great job 😍 Intrigued for part 2! You know, your approach to testing things yourself (from scratch!) reminded me the Tumblr times back in idk 2012-2014 maybe when everyone was photoshopping pics, memes, gifs etc. and I created my own "colors" (layers with different image...
To the AI creatives:
I remember when AI became a sensation a few years ago. Everyone was amazed by the realistic quality and the infinite possibilities for creation. It was new, exciting, fun—but also intimidating.
Fast-forward to today. Even though its popularity has grown and the technology has improved significantly, I've realized that many people who are not experienced with these tools have developed certain expectations about them.
AI = Fast = High Quality = Cheap
No.
Yes, tools like Nano Banana, Kling, and Seedance can produce impressive results, but don't forget that behind those results is a person sitting at a computer, iterating over and over and over again until they find that "perfect" final image.
I've had bad experiences with clients who think that just because I'm using AI, I should charge less.
"You use AI. You can do it in 20 minutes. Why are you charging so much?"
Well, what about the credits? What about post-production in Photoshop and Lightroom when needed? What about the constant back-and-forth to match branding guidelines and client feedback?
Those minutes and hours count too—not just the speed of Higgsfield, Kling, or ComfyUI.
And what about our hardware? Our storage drives? Our electricity costs? Our subscriptions?
Know your value.
Just because you're using AI doesn't mean you're an emotionless robot working nonstop, generating endless iterations for cheap dollars.
Take your time. Trust your process. Don't fall for the "it's instant and effortless" narrative that many content creators promote—or that some clients expect.
Plan your work. Define your goals. Sometimes a single image can take hours to get right.
If a client thinks that because something is generated quickly it should automatically be cheap, the answer is still:
No.
Know your value. Have a detailed understanding of how much you spend on credits, software, hardware, post-production, and revisions.
Clients are paying for results, experience, taste, creative direction, problem-solving, and the countless hours you've invested in mastering these tools—not just for the seconds it takes an AI model to render an image.
Peace.
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