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Ask HN: What toolchains are people using for desktop app development in 2025?

46•lincoln20xx•4h ago•52 comments

ChatGPT 5 is slow and no better than 4

27•iwontberude•3h ago•22 comments

Ask HN: How can ChatGPT serve 700M users when I can't run one GPT-4 locally?

495•superasn•1d ago•322 comments

Ask HN: OpenAI GPT-5 API seems to be significantly slower – is this expected?

4•tlogan•2h ago•3 comments

Ask HN: In which programming language is it better to make your own language?

7•Forgret•6h ago•15 comments

Why Boring Businesses Outlast AI Hype Cycles

3•Taikhoom10•4h ago•1 comments

Ask HN: How do you find honest tech reviews?

7•bjourne•4h ago•4 comments

Ask HN: What trick of the trade took you too long to learn?

373•unsupp0rted•5d ago•647 comments

Exposing Satcom in the Sky: Aircraft Systems Vulnerable to Remote Attacks

2•hacker_might•8h ago•0 comments

Countries with most GPT-5 users, esp. in advanced computation and reasoning?

2•mzk_pi•8h ago•1 comments

Ask HN: Has any of the Pivotal Tracker replacement attempts succeeded?

44•admissionsguy•5d ago•34 comments

Tell HN: Chrome and Spotify dropping support for macOS11

8•Kalanos•9h ago•6 comments

Tell HN: Anthropic expires paid credits after a year

270•maytc•4d ago•135 comments

Ask HN: Claude Code vs. Codex vs. GitHub Coding Agent?

2•endorphine•11h ago•1 comments

Ask HN: How would you build second brain in the AI era?

8•divan•1d ago•4 comments

ChatGPT-5 Can't Do Basic Math

14•MarcellusDrum•1d ago•11 comments

GPT-5 streaming requires submission of biometric data

29•binarymax•1d ago•7 comments

Ask HN: Are you running local LLMs? What are your key use cases?

12•briansun•1d ago•12 comments

Ask HN: What do you dislike about ChatGPT and what needs improving?

32•zyruh•3d ago•123 comments

Ask HN: What are you working on this weekend?

10•lagniappe•12h ago•15 comments

Tell HN: Charles Irby has passed away

30•steven123•2d ago•4 comments

Ask HN: Should brain implants be available for everyone as a productivity boost?

2•amichail•23h ago•4 comments

Ask HN: Which processor to pick for learning assembly?

8•shivajikobardan•1d ago•7 comments

White Paper: Contribution-Based Governance for Developer Communities

4•ff12wq111•1d ago•2 comments

Ask HN: Recommendations for specification management software?

7•gusmally•1d ago•1 comments

What's Your Favorite LLM –and Why?

5•zyruh•22h ago•3 comments

Ask HN: Why Did Mercurial Die?:(

29•sergiotapia•4d ago•32 comments

Tell HN: Thing I learned this year was keeping a work journal

11•Muromec•1d ago•7 comments

Flycrypto – Book Flights and Hotels with Bitcoin and Crypto

3•flycrypto•1d ago•3 comments

Ask HN: What change enabled you to consistently finish your side projects?

49•pillefitz•5d ago•39 comments
Open in hackernews

Why Boring Businesses Outlast AI Hype Cycles

3•Taikhoom10•4h ago
Everyones building an AI company these days Every pitch deck leads with AIpowered every startup claims to be the next ChatGPT for X and venture capitalists cant stop talking about the artificial intelligence revolution But heres what theyre missing while everyone crowds into the same overhyped pond the real money is being made in boring businesses that solve unglamorous problems The Government Forms Gold Mine Let me tell you about a company that perfectly illustrates this principle While thousands of entrepreneurs were building GPT wrappers and AI chatbots a small team noticed something everyone else ignored people applying for government assistance were drowning in paperwork The process was bureaucratic hell—confusing forms, unclear requirements, and endless back-and-forth with government offices. Most tech entrepreneurs wouldn't give this problem a second glance. It's not sexy. It won't make TechCrunch headlines. It doesn't involve machine learning or neural networks. But guess what? That "boring" form-filling software is now generating $30 million in annual revenue. This is the essence of "fishing where the fish are, not where the fishermen are." While everyone else battles over the same crowded markets, smart entrepreneurs find untapped problems with real paying customers. Why Boring Usually Beats Buzzy The AI gold rush reminds me of every other tech bubble. Remember when everything was "blockchain-powered" or "mobile-first" or "social-enabled"? The companies that survived those hype cycles weren't the ones chasing trends—they were the ones solving real problems that happened to use the technology. Today's AI companies face three fundamental problems: The Commodity Trap: As AI capabilities become more accessible, competitive moats disappear. Your AI chatbot for lawyers looks remarkably similar to everyone else's AI chatbot for lawyers. The Hype Hangover: When the AI bubble deflates (and it will), investors will demand actual profits, not just impressive demos. Many current AI companies have no clear path to profitability. The Dependency Risk: Building your entire business on rapidly evolving AI models means you're one API change away from obsolescence. How to Find Your Boring Gold Mine Finding these overlooked opportunities isn't luck—it's a systematic approach to problem identification: Start With Your Own Pain Points The best business ideas often hide in your daily frustrations. What processes make you want to scream? What tasks eat up hours of your time for no good reason? If it annoys you, it probably annoys thousands of other people too. Mine Your Network Your friends, family, and colleagues are goldmines of business ideas. Ask them: "What's the most frustrating part of your job?" "What takes way longer than it should?" "What would save you hours every week?" Listen for patterns—if multiple people mention similar problems, you've found something worth exploring. Question Everything Manual In 2025, if someone's still using spreadsheets to track important business processes, there's probably an opportunity. If people are printing forms, filling them out by hand, and faxing them back, there's definitely an opportunity. Look for workflows that seem stuck in 1995. Follow the Complaints Reddit, Twitter, and industry forums are filled with people complaining about broken processes. These complaint threads are basically free market research. While flashy startups fight for attention, boring businesses enjoy several unfair advantages: Less Competition: Most entrepreneurs chase shiny objects, leaving mundane problems undersolved. Sticky Customers: Businesses that solve operational headaches create deep integration points that are hard to replace Predictable Revenue: Boring problems tend to be ongoing problems, leading to subscription revenue rather than one-time purchases Lower Customer Acquisition Costs When you solve a real pain point in an underserved market customers find you through word-of-mouth

Comments

scarface_74•1h ago
Well, using an LLM might improve your writing style - conciseness, paragraphs, etc.