AI Apps Fail in Production: 3 Common Mistakes

A founder I worked with did everything right. Validated the idea, got early users, raised a pre-seed round, launched in under three months using AI coding tools. Then an investor asked one question on a board call: what happens when you hit 10,000 users at once? He didn't know. Neither did his developer. That's the gap nobody talks about enough. A working app and a production-ready app are not the same thing. One does what you demo. The other does what you demo under real conditions: concurrent users, bad inputs, third-party failures, actual pressure. AI coding tools have made building fast. They haven't made building ready. And the founders who skip that distinction usually find out the hard way, right when a customer hits an edge case or an investor asks the wrong right question. I wrote about the three failure modes I see most often, and the one check I recommend before any serious launch or raise. Full piece is up on Fast Company.

Wild proof that distribution and a working checkout matter more than the tech stack. The “no-code” part grabs attention. But shipping fast, solving a real problem, and getting people to pay? That’s the actual flex. Too many people obsess over frameworks, languages, and architectures while ignoring the harder question: Can you distribute your product and turn users into customers? At the end of the day: 🚀 Shipping > perfecting 💰 Revenue > vanity metrics 📈 Distribution > complexity Build less. Launch faster. Learn from users. Repeat. #Startups #BuildInPublic #NoCode #Entrepreneurship #ProductDevelopment #AI #TechStartups

I keep seeing people brag about one-shotting an MVP in an afternoon. They’re missing the point entirely. Since the “Opus 4.5 effect,” anyone can ship. No surprise there, right? But “anyone can ship” was never the blocker to creating value. Half of what’s getting built right now is the same to-do list app, made by someone going “I can one-shot this and sell it”. But they don’t clock that everyone else can one-shot it too. Here’s the part they miss: When everyone can ship, the bar for what people will actually use goes up. Not down. Building three MVPs in an afternoon doesn’t make you special. It means everyone can. Which means it’s not the ceiling anymore. It’s the baseline. The ceiling is much higher now: something people genuinely want, that they understand in five seconds, that you can get in front of them in a way that compounds. But better than before - and agentic :D Shipping has never been easier. Our standards will just get higher. #AI #Startups #ProductDevelopment #Distribution

He bootstrapped a photo-calorie app to $1M in 4 months — and $30M+ in a year. Then sold it to MyFitnessPal before turning 19.  Zach Yadegari was 18. Forget the age — here's the machine.  Three moves any founder can steal:  → He picked a wedge whose demo fits in one sentence and is  satisfying to watch: snap a photo → instant calories.  → Because the core action is screenshot-able, the product became its  own ad creative. Every user demo = free distribution.  → He engineered one founder-story moment the press carried for free  — so coverage compounded without a PR budget.  Full forensic teardown 👇 (link in comments)  #founders #startups #AI #buildinpublic

We are not trying to scale ratemyidea.ai yet. That would be the wrong goal. Before scaling anything, we need better signal: Real ideas. Real objections. Real bugs. Real willingness to pay. Real reasons people stop before finishing. A product can look promising in our own heads. A landing page can look clean. A demo can feel convincing. But none of that is the scoreboard. The scoreboard is what happens when real founders use it with real ideas and decide whether the feedback is useful enough to come back, pay, or recommend it. So the current sprint is intentionally small: 10–30 real users. Controlled outreach. Direct feedback. No fake traction claims. No big launch noise. The World Cup is a good reminder: opinions before the match do not count. The scoreboard does. For us, the scoreboard is market signal. If you are working on an idea, test it before you build around it: ratemyidea.ai #buildinpublic #startups #validation #ainorte

As a founder of a bootstrapped startup studio, I've learned that building successful products is not just about having a great idea, but about being able to iterate and adapt quickly. At OverbyteLabs, we've found that AI-assisted workflows have been a game changer for our product development process, allowing us to automate repetitive tasks and focus on higher level decision making. Some key benefits we've seen include - increased efficiency in data analysis - improved accuracy in testing and quality assurance - enhanced ability to scale our products quickly. By leveraging these technologies, we've been able to build and launch products faster, and with more confidence in their quality. What are some ways you're using AI and automation to improve your product development process, and what benefits or challenges have you seen as a result? https://lnkd.in/d7mRmei7, #AIinProductDev, #BootstrappedStartups, #SoftwareProductDevelopment, #StartupLife

Vibe coding did not lower the bar for startups. It moved it. It lowered the bar to start, since almost anyone can now describe an idea to a model and have a working version of it by the end of an afternoon. And the uncomfortable corollary is that if you can build your product in a weekend, so can everyone else. Execution stopped being scarce, which means it stopped being a moat, which means product-market fit is the question you can no longer hide from behind a year of honest building. #Startups #VibeCoding #AI

An idea for Gen-AI app builders: A feature in the LLM prompt editor that lists all the prompts you've entered for a specific topic. Right now, I have to scroll through the conversation and manually eyeball it to find the questions I've previously asked. Another useful feature would be for the AI to recognize when I'm asking a question I've asked before, and point me back to the previous discussion. Worth building? Well, it comes from a real user pain point, and I'm pretty sure I'm not the only one experiencing this issue  🤔 #LLM #GenAI #prompts #businessideas #startups #builders

𝗠𝗼𝘀𝘁 𝘀𝘁𝗮𝗿𝘁𝘂𝗽 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀 𝗱𝗼𝗻’𝘁 𝗻𝗲𝗲𝗱 𝗮 𝗳𝘂𝗹𝗹 𝗮𝗽𝗽 𝗳𝗶𝗿𝘀𝘁. They need clarity. Clarity on: • 𝗪𝗵𝗮𝘁 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 𝘁𝗵𝗲𝘆'𝗿𝗲 𝘀𝗼𝗹𝘃𝗶𝗻𝗴 • 𝗪𝗵𝗮𝘁 𝗳𝗲𝗮𝘁𝘂𝗿𝗲 𝗮𝗰𝘁𝘂𝗮𝗹𝗹𝘆 𝗺𝗮𝘁𝘁𝗲𝗿𝘀 • 𝗪𝗵𝗮𝘁 𝗰𝗮𝗻 𝗯𝗲 𝘁𝗲𝘀𝘁𝗲𝗱 𝗺𝗮𝗻𝘂𝗮𝗹𝗹𝘆 𝗳𝗶𝗿𝘀𝘁 • 𝗪𝗵𝗮𝘁 𝘀𝗵𝗼𝘂𝗹𝗱 𝗯𝗲 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗹𝗮𝘁𝗲𝗿 • 𝗪𝗵𝗮𝘁 𝘄𝗶𝗹𝗹 𝗴𝗲𝗻𝘂𝗶𝗻𝗲𝗹𝘆 𝗽𝗿𝗼𝘃𝗲 𝗱𝗲𝗺𝗮𝗻𝗱 After working on SaaS platforms, AI workflows, Laravel applications, outreach systems, Google integrations, and custom admin tools, I've noticed the same pattern over and over: The startups that move fastest don't build more. They build less. 𝗧𝗵𝗲𝘆 𝗳𝗼𝗰𝘂𝘀 𝗼𝗻 𝘁𝗵𝗲 𝗼𝗻𝗲 𝘄𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝘁𝗵𝗮𝘁 𝗱𝗲𝗹𝗶𝘃𝗲𝗿𝘀 𝘃𝗮𝗹𝘂𝗲. Not the 50 features they might need someday. 𝗕𝗲𝗰𝗮𝘂𝘀𝗲: A simple product can evolve. An overbuilt product usually gets rebuilt. Before writing a single line of code, map the workflow. Understand the user. Validate the demand. Then build only what's necessary. The best MVP isn't the smallest product. It's the clearest one. What's the biggest feature founders waste time building too early? #Startup #Founders #Entrepreneurship #SaaS #MVP #ProductDevelopment #BuildInPublic #Startups #WebDevelopment #AI

Most founders don't fail because their idea was bad. They fail because they built 6 months of features before talking to a single customer. The overbuilding trap is real: you get excited, you start building, and 3 months later you have a polished product nobody asked for. The fix isn't moving faster — it's scoping smarter before you write a line of code. Here's what that looks like in practice: take your feature list, ask "what's the one thing that proves this is worth building?" Everything else is version 2. A 3-week MVP that gets real feedback is worth more than a 6-month build that doesn't. If you're not sure what your smallest useful first version looks like, I help founders figure that out at 1stStep.ai — there's also a free App Idea Checker at 1ststep.ai that gives you a readiness score and build path in 2 minutes. #MVP #founders #startups #buildinpublic #productdevelopment