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A Night Without the Nerds – Claude Opus 4.6, Field-Tested

https://konfuzio.com/en/a-night-without-the-nerds-claude-opus-4-6-in-the-field-test/
1•konfuzio•1m ago•0 comments

Could ionospheric disturbances influence earthquakes?

https://www.kyoto-u.ac.jp/en/research-news/2026-02-06-0
1•geox•3m ago•0 comments

SpaceX's next astronaut launch for NASA is officially on for Feb. 11 as FAA clea

https://www.space.com/space-exploration/launches-spacecraft/spacexs-next-astronaut-launch-for-nas...
1•bookmtn•4m ago•0 comments

Show HN: One-click AI employee with its own cloud desktop

https://cloudbot-ai.com
1•fainir•6m ago•0 comments

Show HN: Poddley – Search podcasts by who's speaking

https://poddley.com
1•onesandofgrain•7m ago•0 comments

Same Surface, Different Weight

https://www.robpanico.com/articles/display/?entry_short=same-surface-different-weight
1•retrocog•10m ago•0 comments

The Rise of Spec Driven Development

https://www.dbreunig.com/2026/02/06/the-rise-of-spec-driven-development.html
2•Brajeshwar•14m ago•0 comments

The first good Raspberry Pi Laptop

https://www.jeffgeerling.com/blog/2026/the-first-good-raspberry-pi-laptop/
3•Brajeshwar•14m ago•0 comments

Seas to Rise Around the World – But Not in Greenland

https://e360.yale.edu/digest/greenland-sea-levels-fall
2•Brajeshwar•14m ago•0 comments

Will Future Generations Think We're Gross?

https://chillphysicsenjoyer.substack.com/p/will-future-generations-think-were
1•crescit_eundo•17m ago•0 comments

State Department will delete Xitter posts from before Trump returned to office

https://www.npr.org/2026/02/07/nx-s1-5704785/state-department-trump-posts-x
2•righthand•20m ago•1 comments

Show HN: Verifiable server roundtrip demo for a decision interruption system

https://github.com/veeduzyl-hue/decision-assistant-roundtrip-demo
1•veeduzyl•21m ago•0 comments

Impl Rust – Avro IDL Tool in Rust via Antlr

https://www.youtube.com/watch?v=vmKvw73V394
1•todsacerdoti•21m ago•0 comments

Stories from 25 Years of Software Development

https://susam.net/twenty-five-years-of-computing.html
3•vinhnx•22m ago•0 comments

minikeyvalue

https://github.com/commaai/minikeyvalue/tree/prod
3•tosh•27m ago•0 comments

Neomacs: GPU-accelerated Emacs with inline video, WebKit, and terminal via wgpu

https://github.com/eval-exec/neomacs
1•evalexec•32m ago•0 comments

Show HN: Moli P2P – An ephemeral, serverless image gallery (Rust and WebRTC)

https://moli-green.is/
2•ShinyaKoyano•36m ago•1 comments

How I grow my X presence?

https://www.reddit.com/r/GrowthHacking/s/UEc8pAl61b
2•m00dy•37m ago•0 comments

What's the cost of the most expensive Super Bowl ad slot?

https://ballparkguess.com/?id=5b98b1d3-5887-47b9-8a92-43be2ced674b
1•bkls•38m ago•0 comments

What if you just did a startup instead?

https://alexaraki.substack.com/p/what-if-you-just-did-a-startup
5•okaywriting•45m ago•0 comments

Hacking up your own shell completion (2020)

https://www.feltrac.co/environment/2020/01/18/build-your-own-shell-completion.html
2•todsacerdoti•48m ago•0 comments

Show HN: Gorse 0.5 – Open-source recommender system with visual workflow editor

https://github.com/gorse-io/gorse
1•zhenghaoz•48m ago•0 comments

GLM-OCR: Accurate × Fast × Comprehensive

https://github.com/zai-org/GLM-OCR
1•ms7892•49m ago•0 comments

Local Agent Bench: Test 11 small LLMs on tool-calling judgment, on CPU, no GPU

https://github.com/MikeVeerman/tool-calling-benchmark
1•MikeVeerman•50m ago•0 comments

Show HN: AboutMyProject – A public log for developer proof-of-work

https://aboutmyproject.com/
1•Raiplus•50m ago•0 comments

Expertise, AI and Work of Future [video]

https://www.youtube.com/watch?v=wsxWl9iT1XU
1•indiantinker•51m ago•0 comments

So Long to Cheap Books You Could Fit in Your Pocket

https://www.nytimes.com/2026/02/06/books/mass-market-paperback-books.html
4•pseudolus•51m ago•2 comments

PID Controller

https://en.wikipedia.org/wiki/Proportional%E2%80%93integral%E2%80%93derivative_controller
1•tosh•55m ago•0 comments

SpaceX Rocket Generates 100GW of Power, or 20% of US Electricity

https://twitter.com/AlecStapp/status/2019932764515234159
2•bkls•55m ago•1 comments

Kubernetes MCP Server

https://github.com/yindia/rootcause
1•yindia•57m ago•0 comments
Open in hackernews

Why Boring Businesses Outlast AI Hype Cycles

4•Taikhoom10•6mo 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•6mo ago
Well, using an LLM might improve your writing style - conciseness, paragraphs, etc.
mockingloris•6mo ago
Is it okay; I took some liberties and REworded your entry for light readers.

--- EASY READING: ---

--- Why Boring Businesses Beat the AI Hype ---

Everyone’s chasing the AI gold rush—every pitch deck screams "AI-powered," and startups claim to be "ChatGPT for X." But while entrepreneurs crowd into overhyped markets, the real money lies in solving unglamorous, overlooked problems.

--- The Hidden Gold in "Boring" Problems ---

Take government assistance forms: a bureaucratic nightmare of confusing paperwork. One company tackled this "unsexy" issue and now generates $30M in annual revenue. Why? They fished where others weren’t—solving a real pain point with paying customers.

--- AI Startup Risks ---

Commodity Trap: As AI tools become common, differentiation vanishes. Your AI chatbot looks like everyone else’s.

Hype Hangover: When the AI bubble bursts, investors will demand profits, not demos. Many AI startups lack a path to profitability.

Dependency Risk: Building on evolving AI models means one API change can break your business.

--- Advantages of Boring Businesses ---

Less Competition: Entrepreneurs chase trends, leaving mundane problems underserved.

Sticky Customers: Solving operational headaches creates deep integration, making your solution hard to replace.

Predictable Revenue: Ongoing problems lead to reliable subscription income.

Lower Acquisition Costs: Real solutions spread through word-of-mouth.

--- How to Find Your "Boring" Gold Mine ---

Start with Pain Points: What frustrates you daily? If it annoys you, it likely annoys others.

Mine Your Network: Ask colleagues, “What’s the worst part of your job?” or “What wastes your time?” Look for patterns.

Spot Manual Processes: Spreadsheets or faxed forms in 2025? That’s an opportunity.

Follow Complaints: Reddit, Twitter, and forums are treasure troves of broken processes begging for solutions.

--- Takeaway Skip the AI hype. ---

Find a boring, underserved problem, solve it well, and build a business with real staying power.

mockingloris•6mo ago
I took away:

├── Start with Pain Points

├── Mine Your Network

├── Spot Mundane Processes

└── Follow Complaints