Aakash Gupta's Linkedin Analytics

AI Prototyping Tools Masterclass: If you've been bouncing between v0, Bolt, Replit, and Lovable wondering, "Which one should I actually be using?" You're not alone. They all look impressive. But if you don’t understand what each one actually does best, you're just spinning your wheels. So, let’s break it all down: — ONE - The 4 Major Players (and What They’re Built For) Let me remind you, these aren’t just "tools" anymore. They’re fast-evolving cloud development environments And each one has a clear edge. 1. v0 by Vercel This one’s all about beautiful front-end design - out of the box. Clean UIs, polished interactions, and a $3.25B valuation behind it. Perfect if you’re spinning up a demo for stakeholders... And want something that looks amazing fast. Just don’t expect deep backend stuff without plugging in extras like Supabase. 2. Bolt Built for speed. The CEO told us the whole thing runs in the browser, no VMs & no lag. That's the reason it went from $0 to $40M ARR in just 6 months. If you’re testing ideas fast (think 10-minute prototypes), this is your tool. It’s flexible, but you'll need to connect things like a database yourself. 3. Replit This one goes deep. Founded by Amjad Masad and now valued at $1.16B, Replit gives you full-stack power. Built-in auth, built-in database, built-in deployment. If your prototype needs to function like a real product, this is the play. It’s not as slick as v0 or as lightning-fast as Bolt... But when it comes to handling real logic, Replit is in a league of its own. 4. Lovable Lovable is becoming the most loved "vibe coding" tool. Founded by Antonin Osika, and it hit $17M ARR in just 3 months. Honestly? It’s the easiest tool in the game, especially if you don’t code. Drag, drop, sync with Supabase. That’s it. No setup headaches. No complex environment. Perfect for non-technical PMs or anyone who wants to go... From idea to live prototype without touching a line of code. — TWO - ADJACENT TOOLS But wait, there’s a twist. These tools aren’t where AI prototyping stops. There are adjacent tools you’ll want to layer in depending on your skill level: If you’re just looking to generate quick code or play around with ideas: → ChatGPT and Claude work great. But if you want to build something real (and you can code): → Tools like Cursor, Windsurf, Zed, and GitHub Copilot are insanely powerful. A great flow in my experience so far? Start in Bolt or Lovable → Sync to GitHub → Then build deeper in Cursor. — I broke all this down in my latest newsletter drop: "Ultimate Guide to AI Prototyping Tools (Lovable, Bolt, Replit, v0)" If you want to understand how to actually use these tools and which one fits your workflow best, go here: https://lnkd.in/eRypMZQ8 It’ll save you weeks of trial and error.

Here are the 6 most dangerous mistakes I see product teams make with A/B testing (and how to avoid them): I partnered with Statsig, vineeth madhusudanan, Chris Schmechel, Craig Sexauer, and Timothy Chan to bring you the best insights: — 1. PEEKING TOO EARLY This one kills me every time. You plan to run the test for 4 weeks. But 3 days in, the numbers “look promising,” and someone says: “We should just ship it.” That’s not experimentation. That’s guessing in a lab coat. If you want reliable results, you need to stick to your sample size. Or use sequential testing to do it right. — 2. CHASING TOO MANY METRICS If you look at 20 metrics, one is bound to “win.” That’s statistical roulette which is bound to fail. Pick one primary metric. Guard it like gold. Then, use a few guardrails to make sure nothing else breaks. — 3. FORGETTING SEGMENT IMPACT I’ve seen tests that looked great overall... But quietly crushed new user onboarding behind the scenes. If you only check the top-line number, you're playing with fire. Always break it down: → New vs. returning → Mobile vs. desktop → Free vs. paid The best product decisions live inside those segments. — 4. NO CLEAR SUCCESS CRITERIA This is the silent killer. “Well, it wasn’t worse… so maybe we should ship it?” That’s how teams end up shipping neutral or harmful features. Decide before the test: What metric needs to move? → By how much? → Over what timeframe? No post-hoc rationalizing should be allowed. — 5. OBSESSING OVER ONE METRIC Optimizing for conversion is great. But if you kill retention, speed, or satisfaction in the process… Did you really win? Every test needs a system of metrics. Primary = what you want to move. Guardrails = what you can’t afford to break. — 6. OVERFEARING EXPERIMENT INTERACTION A lot of teams slow down experimentation because they’re scared one test will “interfere” with another. But unless you’re running conflicting flows in the same UI, interaction effects are rare. I’ve run thousands of tests. Parallel testing has never been the problem! Don’t paralyze yourself. — A/B testing isn’t about volume. It’s about learning velocity. How fast you can generate trusted insight? That defines your success.

The job market is BRUTAL and UNFAIR right now. You’re applying. You’re networking. You’re doing “everything right.” But nothing is working for you! You're not alone. The system has changed so here's the breakdown: — ONE - The Supply of Job Seekers Is Way Up 2025 started with a wave of layoffs. It’s already worse than 2023 and 2024 combined. Q1 layoffs have exceeded the entire total from previous years. (Yes, and it’s only April.) More talent is flooding the market than companies can absorb. And that’s just one part of the problem. — TWO - The Demand for Job Seekers Is Still Down Let’s take Product roles as a lens: - In March 2022, there were ~486,000 open PM roles. - In March 2025? Just 43,000. That’s a 90% drop from the peak. And each role now sees 250+ applicants. Which means you’re not just competing at this point. You’re competing at scale. — THREE - Hiring Is Slower, Tougher, and More Competitive The average hiring cycle used to take 2–3 weeks In 2025, it’s closer to 2–3 months. PMs are saying it takes 3–6 months just to land interviews. Most people I know are rating the difficulty of the market a solid 9/10. If you look closely, this isn't another economic downturn. They're literally restructuring of how hiring works and for who. — FOUR - Traditional Methods Are (Objectively) Failing The numbers speak for themselves: - <2% success rate for standard applications - 15–25% success rate for strategic, network-driven approaches Why? 1. Volume problem: 200–300+ applicants per role 2. Noise problem: Generic resumes get filtered by ATS 3. Timing problem: By the time a job goes live, hiring is often already in motion If you're just "spraying and praying," you're already behind. — FIVE - Market Forecast: Tough Through Q2, Possible Recovery Later Even optimistic job trend models don’t expect relief until Q3 or Q4. Most candidates need new strategies to survive the first half of 2025. If you think just applying to jobs is going to cut through, you're mistaken. You need to work differently and adapt to a market that’s fundamentally changed. — To help make sense of this chaotic market, I connected with 5 people who actually landed jobs in 2025 across different industries and roles. I took their best insights and strategies… and broke them down here for you: https://lnkd.in/ewCi63Az

He was laid-off as a PM at Microsoft. Now he has 123,701 LinkedIn followers. This is Dr Bart Jaworski's raw story: - How he got a job just weeks after - How to build a great PM resume and ace interviews - A live walkthrough of his meme generation workflow Check it out: YouTube: https://lnkd.in/eAvRFDE2 Spotify: https://lnkd.in/eyt7agKj Apple: https://lnkd.in/eAEVwr3u — And thanks to our sponsors: - Amplitude: Try their 2-minute assessment of your company’s digital maturity - https://bit.ly/4hl25RG - Product Faculty: Get $500 off the AI PM certification with code AAKASH25 - https://lnkd.in/ewuAKVUQ — Here were some of my favorite takeaways: 1. Your Resume is a Pitch Deck, Not a Diary! In the podcast, he reviewed resumes live and called out what almost everyone misses: - Generic summaries that say nothing - Bullet points that sound like job descriptions - Zero proof of outcomes The best resumes? Tell a story. Show your thinking. Make the recruiter want to talk to you now. Remember, you're not just “showing experience.” You're selling clarity, judgment, and value BETTER than anyone else. — 2. Why PMs Fail At Interviews (And How To Nail Them) Most PMs bomb interviews not because they don’t know enough. But because they “perform” instead of “think” Here’s what he’s seen: → Over-rehearsed frameworks. Buzzword-heavy answers. Vague stories with zero data What actually works? → Talk like a real human. Proving your competency. Telling stories that matter. In his Microsoft interview, they asked about APIs he barely used. But he still passed by reasoning through it live. So stop studying frameworks. Start proving you’ve done the work. — 3. From Layoff to 125K Followers — One Post, One Meme, One Hook at a time. He didn’t blow up overnight. He treated content like a product - tested, refined, and scaled it. He manually shared posts to get early traction. Wrote hooks that stopped the scroll. Designed memes with a purpose. And studied what worked like a growth funnel. No shortcuts. No secret hacks. Just a system that compounded. Now? He gets paid to post what he once gave away for free. — Check out the episode for more. And repost to share with others ♻️

AI Prototyping 101: If I had to teach someone how to actually build usable products with AI, this is where I’d start. Here's the step-by-step workflow that feels like magic: — ONE - THE UNIVERSAL AI PROTOTYPING WORKFLOW No matter which tool you’re using — v0, Bolt, Replit, or Lovable — this is the backbone of a solid AI build process: 1. Start with Context AI works way better when it knows what you're working with. Figma files are ideal, they give structure and design language. If you don’t have those, use screenshots of your product. Worst case? A hand-drawn wireframe is still better than nothing. Without visual context, AI makes blind guesses. And you’ll spend more time correcting its “creativity” than building useful stuff. 2. Write a PRD (Yes, Even for AI) A simple .md file with a few bullet points on what you’re building goes a long way. Include: - What the customers want - What the feature does - Key user flows - Must-have functionality You can even ask Claude or GPT to write the first draft. But the better your input, the stronger your first output. 3. Get to Building Now open up your tool of choice. Start with a big-picture command. Then zoom in. Don’t say “Build me a dashboard.” Say: “Build a dashboard with 3 sections: recent activity, user goals, and notifications. Each should have X, Y, and Z.” Also, AI can handle technical stuff. So don’t hold back. Use real terms: auth flow, API call, state logic, it gets it. 4. Iterate Like a Builder, Not a Perfectionist Make one change at a time. Test it fast. Roll it back if it doesn’t work. This isn’t “prompt once and ship.” This is real prototyping. AI is just helping you move 100x faster. — TWO - TOOL-BY-TOOL BREAKDOWN (Complete walkthrough of the tools with screenshots, real examples, and tool setups is linked at the end.) So, let’s talk interfaces here. Here’s what each platform does best: 1. v0 - Figma import is seamless - Template gallery = instant jumpstart - Chat interface bottom left, live preview on right - Exports clean code and deploys fast 2. Bolt - Same vibe as v0, but more technical - Built-in Supabase integration with a terminal access - Deploys to Netlify in one click 3. Replit - This one feels like a real IDE - You get an “AI agent” to plan everything - Built-in chat, live console, multiplayer mode - Ships to a live URL, complete with CDN 4. Lovable - The most design-friendly of the bunch - Visual editing > code editing - Figma support, Supabase, live preview, it’s all there - Great for teams who want to stay out of code — I broke it all down - with screenshots, working examples, and use cases - in this full walkthrough: https://lnkd.in/eJujDhBV — All of these tools are powerful. But none of them matter if you don’t understand the workflow behind how to use them. Once you’ve got that down, you can ship real products in hours, not weeks.