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Queueing Theory v2: DORA metrics, queue-of-queues, chi-alpha-beta-sigma notation

https://github.com/joelparkerhenderson/queueing-theory
1•jph•8m ago•0 comments

Show HN: Hibana – choreography-first protocol safety for Rust

https://hibanaworks.dev/
1•o8vm•10m ago•0 comments

Haniri: A live autonomous world where AI agents survive or collapse

https://www.haniri.com
1•donangrey•11m ago•1 comments

GPT-5.3-Codex System Card [pdf]

https://cdn.openai.com/pdf/23eca107-a9b1-4d2c-b156-7deb4fbc697c/GPT-5-3-Codex-System-Card-02.pdf
1•tosh•24m ago•0 comments

Atlas: Manage your database schema as code

https://github.com/ariga/atlas
1•quectophoton•26m ago•0 comments

Geist Pixel

https://vercel.com/blog/introducing-geist-pixel
1•helloplanets•29m ago•0 comments

Show HN: MCP to get latest dependency package and tool versions

https://github.com/MShekow/package-version-check-mcp
1•mshekow•37m ago•0 comments

The better you get at something, the harder it becomes to do

https://seekingtrust.substack.com/p/improving-at-writing-made-me-almost
2•FinnLobsien•38m ago•0 comments

Show HN: WP Float – Archive WordPress blogs to free static hosting

https://wpfloat.netlify.app/
1•zizoulegrande•40m ago•0 comments

Show HN: I Hacked My Family's Meal Planning with an App

https://mealjar.app
1•melvinzammit•40m ago•0 comments

Sony BMG copy protection rootkit scandal

https://en.wikipedia.org/wiki/Sony_BMG_copy_protection_rootkit_scandal
1•basilikum•43m ago•0 comments

The Future of Systems

https://novlabs.ai/mission/
2•tekbog•43m ago•1 comments

NASA now allowing astronauts to bring their smartphones on space missions

https://twitter.com/NASAAdmin/status/2019259382962307393
2•gbugniot•48m ago•0 comments

Claude Code Is the Inflection Point

https://newsletter.semianalysis.com/p/claude-code-is-the-inflection-point
3•throwaw12•50m ago•1 comments

Show HN: MicroClaw – Agentic AI Assistant for Telegram, Built in Rust

https://github.com/microclaw/microclaw
1•everettjf•50m ago•2 comments

Show HN: Omni-BLAS – 4x faster matrix multiplication via Monte Carlo sampling

https://github.com/AleatorAI/OMNI-BLAS
1•LowSpecEng•51m ago•1 comments

The AI-Ready Software Developer: Conclusion – Same Game, Different Dice

https://codemanship.wordpress.com/2026/01/05/the-ai-ready-software-developer-conclusion-same-game...
1•lifeisstillgood•53m ago•0 comments

AI Agent Automates Google Stock Analysis from Financial Reports

https://pardusai.org/view/54c6646b9e273bbe103b76256a91a7f30da624062a8a6eeb16febfe403efd078
1•JasonHEIN•56m ago•0 comments

Voxtral Realtime 4B Pure C Implementation

https://github.com/antirez/voxtral.c
2•andreabat•58m ago•1 comments

I Was Trapped in Chinese Mafia Crypto Slavery [video]

https://www.youtube.com/watch?v=zOcNaWmmn0A
2•mgh2•1h ago•0 comments

U.S. CBP Reported Employee Arrests (FY2020 – FYTD)

https://www.cbp.gov/newsroom/stats/reported-employee-arrests
1•ludicrousdispla•1h ago•0 comments

Show HN: I built a free UCP checker – see if AI agents can find your store

https://ucphub.ai/ucp-store-check/
2•vladeta•1h ago•1 comments

Show HN: SVGV – A Real-Time Vector Video Format for Budget Hardware

https://github.com/thealidev/VectorVision-SVGV
1•thealidev•1h ago•0 comments

Study of 150 developers shows AI generated code no harder to maintain long term

https://www.youtube.com/watch?v=b9EbCb5A408
2•lifeisstillgood•1h ago•0 comments

Spotify now requires premium accounts for developer mode API access

https://www.neowin.net/news/spotify-now-requires-premium-accounts-for-developer-mode-api-access/
1•bundie•1h ago•0 comments

When Albert Einstein Moved to Princeton

https://twitter.com/Math_files/status/2020017485815456224
1•keepamovin•1h ago•0 comments

Agents.md as a Dark Signal

https://joshmock.com/post/2026-agents-md-as-a-dark-signal/
2•birdculture•1h ago•1 comments

System time, clocks, and their syncing in macOS

https://eclecticlight.co/2025/05/21/system-time-clocks-and-their-syncing-in-macos/
1•fanf2•1h ago•0 comments

McCLIM and 7GUIs – Part 1: The Counter

https://turtleware.eu/posts/McCLIM-and-7GUIs---Part-1-The-Counter.html
2•ramenbytes•1h ago•0 comments

So whats the next word, then? Almost-no-math intro to transformer models

https://matthias-kainer.de/blog/posts/so-whats-the-next-word-then-/
1•oesimania•1h ago•0 comments
Open in hackernews

Ask HN: Can a startup idea succeed solely based on execution?

1•slashtmpslashme•2mo ago
Let's say I have an idea which someone has already built.

But I execute it much better in some way. (Eg: cost efficiency / user experience / whatever). So there might be something else which is approximately same as my application, can I win based on refinement or efficiency of execution?

Or is it more likely the competitor will figure out the way to realize the same efficiency gains?

What are some examples of this succeeding and failing?

Any personal anecdotes will be appreciated too.

Comments

james_marks•2mo ago
“Execute it much better in some way” is the definition of a startup.

And typically the ones that succeed execute one thing much better than their peers: distribution.

WheelsAtLarge•2mo ago
I don't gave proof but I would say that most successful startups are copies of other startups. A unique idea is so much harder to execute in both money and effort so coping an ongoing business and making it better is the way to go.

A successful business is mainly about managing resources and people. The idea is secondary.

I would bet on a successful team over an idea any time.

Flundstrom2•2mo ago
Read Daniel Pink: "Whole new mind".

Whatever you do, someone else will be able to do it faster and cheaper.

Also, read up on the "Red ocean" vs "Blue ocean" theories about competition.

Yes, you can compete in the cut-throat red ocean, where all other competitors try to survive by offering roughly the same product or service. Look at basically every AliExpress shop.

But it will only get you so far. Will they survive in the long run? To really succeed, you have to offer something unique. Production efficiency is of course on everyones radar. No company ever said "we dont care about how much it cost to produce our product/service".

Google wasn't unique when they started. There were several other search engines out there, Alta Vista being the largest one. Both offered their services for free - so how can you possibly compete on price in the Red Ocean against all other search engine? No matter how efficient the execution was, they had to attract people. Because that was what they were selling. People are the raw material. So, Google offered a different experience than all other engines. That way, they eventually got more and better raw material (people) to sell.

Apple tried what everyone else did back in the early 2000s; Sell mobile phones. But they did not become the world's second largest handset maker by being the most efficient at developing or producing them. In fact, they deliberately sold their phones at a loss for the first years. They decided that they would provide a completely new experience, and that eventually people would be willing to pay a premium which turned out to be twice as much than an android phone with comparable hardware features and costs.

SpaceX, on the other hand, have gotten the world leader in rocket launcher thanks to outstanding execution ; instead of destroying every rocket once the payload has been deployed, they are reusing the rockets, thus keeping the cost per launch much lower. Noone else have yet been near their reusability and cost per launch - because its litterarily rocket science, not because the competitors are less efficient in their execution.

Thomann and Behringer are some of the world's largest companies in the music instrument business. They have perfected execution to such degree that it is hard to find cheaper alternatives that are comparable even on AliExpress!

Ingvar Kamprad started his first company by buying pens in big-pack, selling them piecewize at a large markup. Later the company decided - similar to Behringer - to copy the design of well-known furnitures, but optimize the logistics, eventually also optimizing the manufacturing process. IKEA is now the world's most famous furniture company. But, even they can't sell the cheapest bookshelf anymore.