Two working app prototypes. Built in 48 hours each. Not mockups: full, clickable prototypes my cofounder Warren Kucker could use to pitch real customers on major new directions for our product. I don’t say this lightly because it sounds a bit like a sales pitch, but this is a real shift that product and engineering teams should be taking advantage of. A bit on the process: I take a concept that’s been discussed and vetted by our team - minimal designs, a text-based workflow, etc, and use coding agents to turn it into a prototype within a staging environment for our app. Because we’re aiming for feedback, not production, I can worry much less about quality of the code. I can mock data quickly, and minimize my reviews to just ensuring its secure. If the idea lands, I’ll rebuild it cleanly later - with a nice clickable visual as my guide. The result is we go from whiteboard to clickable prototype, inside the visual framework of our existing app, in two days. I’ve lost count of the number of times a promising idea died because getting something in front of customers was too heavy a lift. Teams that learn to blend AI-assisted prototyping into their product cycles will move faster, test smarter, and waste less time debating hypotheticals. Anyone else seeing similar gains? What's getting in the way of you doing this for more of your work?
Built two clickable prototypes in 48 hours using AI
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Are your prototypes still just clickable screens? It’s time to move beyond static flows. Modern products are dynamic, data-driven, and intelligent — your prototypes should be too. Learn how to build smarter, behavior-driven prototypes that think, react, and evolve. 🔗 Read here: https://lnkd.in/g8HBrDrz #UXDesign #Figma #Prototyping #ProductDesign #AIinDesign #FutureOfUX
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You cannot iterate on an idea that only lives in your head. The distance between "concept" and "V1 functional product" must shrink dramatically. Rapid prototyping isn't just about speed; it's about generating immediate, flawed data. We often fear the messy first output. That mess is the blueprint for V2. For example, I built a complete internal tool this week, from napkin sketch to deployed web app, in one afternoon. It was clunky. The first output was frankly, unimpressive. But analyzing that mediocrity instantly showed us what the V2 logic *must* solve for. That functional, imperfect tool is now my strongest case study. Solving your own urgent internal problems accelerates product learning faster than anything else. What’s one core business problem you could solve with a V1 tool this week?
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Ever had a million-dollar idea… that died in your Google Docs because you didn’t know what to do next? That’s where I come in. As a UI/UX designer, I help founders turn those “what if we built this?” ideas into real, clickable products users can actually interact with. Most startup ideas don’t fail because they weren’t good. They fail because the founder couldn’t communicate that idea visually to investors, to developers, or even to users. So here’s my process 👇 1️⃣ Listen deeply: I start by understanding the problem your idea is solving and who it’s for. 2️⃣ Translate your vision: I map out your idea into a user journey that actually makes sense. 3️⃣ Design the experience: I bring it to life through intuitive, conversion-focused screens. 4️⃣ Deliver clarity: You walk away with a prototype that investors, users, and your dev team can instantly “get.” Because ideas alone don’t sell. Experiences do. Founders, what’s that one idea you’ve been sitting on, the one you wish people could just see? Drop it in the comments 👇 Let’s talk about how to make it real.
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A few weeks ago, I asked my network for their go-to rapid prototyping tools. After putting several of the top contenders through their paces, I'm ready to declare a winner. For Product Managers who need to prototype features fast, Lovable is the best tool I've used, hands down. Why? The quality of the produced mock functionality is fantastic. My key metric was simple: How closely does the tool actually follow the written requirements (prompts + specs) you give it? (Quick note: I'm evaluating this purely for PM-led rapid prototyping, not for vibe-coding a production-ready app.) Here's my quick breakdown of the tools I tested, all judged by that "prompt-to-spec" accuracy: 🥇 Lovable: The clear winner. Consistently delivered the most accurate functional mocks based on my specs. 🥈 Firebase Studio: Powerful and still decent, but not quite as precise in following instructions as Lovable. 🥉 Figma Make: A bit further off the mark for my needs. The Others: Cursor: This leans heavily into "vibe-coding." I found that with more complex requirements, it was too hard to get a sustainable, accurate result. (I know this one might be arguable—would love to hear your thoughts!) Gemini Canvas: Decent! Great for spinning up one or two pseudo-dynamic HTML pages very quickly, which definitely has its place in rapid prototyping. My approach for all tests was "requirements first." What's your take? What's your #1 tool for turning specs into a functional prototype that you can actually test? #ProductManagement #Prototyping #DeveloperTools #AI #SaaS #ProductDesign #Firebase #Figma #Cursor #Lovable
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Figma introduced its Model Context Protocol (MCP) server in beta — this allows AI and coding agents to directly access design data (graphics values, color codes, layouts) instead of inferring via images. 👉 Why it matters: 1️⃣ If you work on front-end, mobile apps or design handoffs, this reduces friction between design → code. 2️⃣ Worth sharing if you’re working in teams where design/development synch matters. How much time does your team spend translating design specs into code — and what would you build if that time were cut in half? #UXDesign #UIDesign #Automation #WebDevelopment #ProductDesign #MobileAppDevelopment #DesignSystem #AIforDesign #DeveloperTools
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Dear Designer, You can see the vision of where you want to go but don't know how to get there? Put one foot in front of the other and just start... Copy and paste a prompt into an AI builder - it's okay if it fails at first. Replicate your favorite app's UI - great way to improve design skills. Find bottlenecks and automate - free up time for more exploration. Vibe-code a POC and raise funding - AI has lowered the barrier to build. Whatever it is, just do the thing. You've got this. --- #productdesign #uxdesign #motivation
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Most people think loading states are wasted space. A spinning wheel, a percentage bar, maybe a skeleton screen. Something to “fill the gap” until the real product shows up. But what if I told you, loading states are one of the most underutilized levers for trust and conversion? Let me explain. We recently worked on a project where the client’s app had a frustrating problem: - Users dropped off during loading. - Churn spiked, especially on low-network connections. - Feedback showed users felt the app was unreliable, even though it worked fine. So we tried something counterintuitive. Instead of showing a generic spinner, we designed a skeuomorphic loading experience, one that visually mirrored the end value of the app. Think of it like this: - A finance app showing your “transactions being sorted” with little animated bills stacking. - A food delivery app showing your “order being packed” in miniature form. - A productivity app showing “cards being shuffled” before your workspace appears. We replaced an empty wait with a mini-story of progress. The result? Perceived wait time dropped (even though actual speed stayed the same). Completion rates improved by 17%. User feedback shifted from “this feels buggy” → to “this feels smooth and alive.” The psychology behind it is simple: - Humans hate uncertainty more than they hate waiting. - Skeuomorphic loaders reduce uncertainty by anchoring the wait in something familiar and meaningful. This wasn’t just about delight. It was about reducing friction at a moment of vulnerability. Because if a user abandons during loading, you never even get a chance to show them the product. So the takeaway? If your loading state is just a spinner, you’re missing a chance to tell a story, build trust, and keep users from bailing. Every second counts. Every screen teaches your user what to expect from you. Design isn’t just what they see at the end. It’s what they feel while waiting to get there.
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🏅 𝑴𝒚 𝑪𝑳𝑰 𝒂𝒑𝒑 𝒋𝒖𝒔𝒕 𝒓𝒂𝒏𝒌𝒆𝒅 #9 𝑷𝒓𝒐𝒅𝒖𝒄𝒕 𝒐𝒇 𝒕𝒉𝒆 𝑫𝒂𝒚 𝒐𝒏 𝑷𝒓𝒐𝒅𝒖𝒄𝒕 𝑯𝒖𝒏𝒕. Built in 48 hours with zero UI. Most people think you need a polished interface to launch a product. But this project proved something different, 𝒖𝒔𝒆𝒇𝒖𝒍𝒏𝒆𝒔𝒔 𝒃𝒆𝒂𝒕𝒔 𝒂𝒆𝒔𝒕𝒉𝒆𝒕𝒊𝒄𝒔 𝒆𝒗𝒆𝒓𝒚 𝒕𝒊𝒎𝒆. I wanted a way to automatically lock my system whenever I stepped away from my desk. No GUI. No setup wizard. Just one command that senses my Bluetooth device and locks/unlocks the system instantly. I built it in Python, tested it with my phone, packaged it as a CLI and shipped it. No marketing, no ads, just a few lines of code solving a real-world problem. That little idea became 𝑷𝒓𝒐𝒙𝒊𝒎𝒊𝒕𝒚 𝑳𝒐𝒄𝒌 𝑺𝒚𝒔𝒕𝒆𝒎, and it ranked #9 𝑷𝒓𝒐𝒅𝒖𝒄𝒕 𝒐𝒇 𝒕𝒉𝒆 𝑫𝒂𝒚 𝒐𝒏 𝑷𝒓𝒐𝒅𝒖𝒄𝒕 𝑯𝒖𝒏𝒕. All from a weekend build. You don’t need a massive team or a perfect design to create impact. You just need to remove friction between the problem and the solution. Every unnecessary click, animation, or layer delays user satisfaction. Sometimes, the fastest product is the one with no interface at all. If you’re building something right now, focus on solving, not showing. 𝑻𝒉𝒆 𝒃𝒆𝒔𝒕 𝒅𝒆𝒔𝒊𝒈𝒏𝒔 𝒂𝒓𝒆 𝒊𝒏𝒗𝒊𝒔𝒊𝒃𝒍𝒆. #ProductLaunch #ProductHunt #Python #Automation #Technology #EngineeringMindset #BuildInPublic #IndieMakers #Innovation #Productivity #Engineering #Startups #Python #CLI #ProductLaunch #BuildInPublic
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😵💫 When Your Design System Becomes a Mess: Multiple Versions, Zero Alignment If you’re scaling fast, you’ve probably seen this: • Figma uses Design System v2.3 • Web app runs on v1.8, with pieces of v2.0-beta • Mobile’s still on v1.5, patched manually • Your dev library? A mix of frameworks and forgotten forks Sound familiar? At some point, your design system stops being a system—and starts being a maintenance nightmare. ⸻ 🚩 How We Get Here • No ownership → Design and dev diverge • Speed over structure → “Just ship it” culture • Lack of tooling/versioning → No clear “source of truth” • Legacy debt → Too many “we’ll fix it later” projects ⸻ ⚠️ The Impact • Inconsistent UX • Broken trust in the system • Slower handoffs, more bugs • Confused users, confused teams ⸻ ✅ What You Can Do 1. Audit the current state Map design + dev versions across teams. 2. Pick your base version Align teams on a single source of truth (Figma + code). 3. Version it properly Use semantic versioning, changelogs, and clear documentation. 4. Assign ownership A cross-functional DS team can manage governance and adoption. 5. Plan your migration Prioritize by impact. Provide guidance and support. 6. Build feedback loops Let your system evolve—with structure. ⸻ 🧠 Final Thought A messy design system isn’t just a design problem. It’s a product maturity problem. Fixing it is hard—but the cost of ignoring it is even harder. ⸻ 💬 Have you been here? How did you solve it? Let’s swap notes in the comments. #UXDesign #DesignSystems #ProductDevelopment #DesignOps #DeveloperExperience
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Great products don’t just happen -They’re built by teams who turn vision into performance. When Rodney, our US-based client, approached Codesteem, His goal was clear: "I want an Android app that’s fast, smooth, and scalable - not just today, but years from now". He needed a solution that was: ↳ Simple – an experience users genuinely enjoy ↳ Flexible – architecture that grows as features and users increase ↳ High-performing – fast load times with rock-solid stability Our Approach: As a team, we led the full design and development process -from concept to launch: ↳ Product Thinking – every feature mapped to real user needs ↳ UI/UX Engineering – intuitive, frictionless experiences ↳ Code Architecture – modular, automated, and performance-driven ↳ Scalable Workflows – new capabilities can be added with minimal effort We don’t just build apps - we engineer systems that anticipate scale. The Results: ↳A smooth launch with measurable performance gains ↳ A user-friendly interface people love using ↳ A product that delivers today - and adapts tomorrow This wasn’t just another app project. It was about engineering a solution that evolves with the client’s vision. Let’s engineer it … smart, fast, and scalable. #AndroidDevelopment #CTOInsights #TechInnovation #ScalableApps #UserCenteredDesign #Codesteem #ClientDiaries
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2wThe prototypes were mind-blowing. Fully clickable and working. Great for early stage demo's where you gauging the unknown solution to a potential problem.