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Large tech companies don't need heroes

https://www.seangoedecke.com/heroism/
1•medbar•1m ago•0 comments

Backing up all the little things with a Pi5

https://alexlance.blog/nas.html
1•alance•2m ago•1 comments

Game of Trees (Got)

https://www.gameoftrees.org/
1•akagusu•2m ago•1 comments

Human Systems Research Submolt

https://www.moltbook.com/m/humansystems
1•cl42•2m ago•0 comments

The Threads Algorithm Loves Rage Bait

https://blog.popey.com/2026/02/the-threads-algorithm-loves-rage-bait/
1•MBCook•5m ago•0 comments

Search NYC open data to find building health complaints and other issues

https://www.nycbuildingcheck.com/
1•aej11•8m ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
2•lxm•10m ago•0 comments

Show HN: Grovia – Long-Range Greenhouse Monitoring System

https://github.com/benb0jangles/Remote-greenhouse-monitor
1•benbojangles•14m ago•1 comments

Ask HN: The Coming Class War

1•fud101•14m ago•1 comments

Mind the GAAP Again

https://blog.dshr.org/2026/02/mind-gaap-again.html
1•gmays•16m ago•0 comments

The Yardbirds, Dazed and Confused (1968)

https://archive.org/details/the-yardbirds_dazed-and-confused_9-march-1968
1•petethomas•17m ago•0 comments

Agent News Chat – AI agents talk to each other about the news

https://www.agentnewschat.com/
2•kiddz•17m ago•0 comments

Do you have a mathematically attractive face?

https://www.doimog.com
3•a_n•21m ago•1 comments

Code only says what it does

https://brooker.co.za/blog/2020/06/23/code.html
2•logicprog•27m ago•0 comments

The success of 'natural language programming'

https://brooker.co.za/blog/2025/12/16/natural-language.html
1•logicprog•27m ago•0 comments

The Scriptovision Super Micro Script video titler is almost a home computer

http://oldvcr.blogspot.com/2026/02/the-scriptovision-super-micro-script.html
3•todsacerdoti•28m ago•0 comments

Discovering the "original" iPhone from 1995 [video]

https://www.youtube.com/watch?v=7cip9w-UxIc
1•fortran77•29m ago•0 comments

Psychometric Comparability of LLM-Based Digital Twins

https://arxiv.org/abs/2601.14264
1•PaulHoule•30m ago•0 comments

SidePop – track revenue, costs, and overall business health in one place

https://www.sidepop.io
1•ecaglar•33m ago•1 comments

The Other Markov's Inequality

https://www.ethanepperly.com/index.php/2026/01/16/the-other-markovs-inequality/
2•tzury•34m ago•0 comments

The Cascading Effects of Repackaged APIs [pdf]

https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6055034
1•Tejas_dmg•36m ago•0 comments

Lightweight and extensible compatibility layer between dataframe libraries

https://narwhals-dev.github.io/narwhals/
1•kermatt•39m ago•0 comments

Haskell for all: Beyond agentic coding

https://haskellforall.com/2026/02/beyond-agentic-coding
3•RebelPotato•43m ago•0 comments

Dorsey's Block cutting up to 10% of staff

https://www.reuters.com/business/dorseys-block-cutting-up-10-staff-bloomberg-news-reports-2026-02...
2•dev_tty01•45m ago•0 comments

Show HN: Freenet Lives – Real-Time Decentralized Apps at Scale [video]

https://www.youtube.com/watch?v=3SxNBz1VTE0
1•sanity•47m ago•1 comments

In the AI age, 'slow and steady' doesn't win

https://www.semafor.com/article/01/30/2026/in-the-ai-age-slow-and-steady-is-on-the-outs
1•mooreds•54m ago•1 comments

Administration won't let student deported to Honduras return

https://www.reuters.com/world/us/trump-administration-wont-let-student-deported-honduras-return-2...
1•petethomas•54m ago•0 comments

How were the NIST ECDSA curve parameters generated? (2023)

https://saweis.net/posts/nist-curve-seed-origins.html
2•mooreds•55m ago•0 comments

AI, networks and Mechanical Turks (2025)

https://www.ben-evans.com/benedictevans/2025/11/23/ai-networks-and-mechanical-turks
1•mooreds•55m ago•0 comments

Goto Considered Awesome [video]

https://www.youtube.com/watch?v=1UKVEUGEk6Y
1•linkdd•58m ago•0 comments
Open in hackernews

Do things that don't scale' is not valid anymore

1•bmadduma•2mo ago
I'm telling you from my experience, the idea of “doing things that don’t scale” no longer works for enterprise B2B startups.

Every customer’s data systems and requirements are different. You can build a consulting company that way, but not a scalable product company.

Believe it or not, this comes from my own experience.

Comments

onion2k•2mo ago
You missed the point of the essay.

a scalable product company

If you're building a scalable product company your first customers are your best evangelists. They're the ones you need to cultivate and nurture to take your message to a wide audience. Wider than you can connect with without them on side. That's why you have to do things at the start like emailing and talking with them personally. You can't do that when you have 1,000 customers, but you need to do that when you have 3.

bmadduma•2mo ago
Sorry forgot to mention B2B AI company. You need be mindful not built everything customers ask you to build. I'm talking about that, email, talking to customers I have no problem with that.
wmf•2mo ago
You need be mindful not built everything customers ask you to build.

Did PG say to do that?

bmadduma•2mo ago
I didn't mean hurt your master, I did not mention your masters name.
robocat•2mo ago
Please don't be rudely facetious.

You are on YC and appear to be disagreeing with PG's "Do Things that Don't Scale" article: https://paulgraham.com/ds.html so people jump to conclusions even if you don't.

bmadduma•2mo ago
What is rude? Did I mentioned anything bad here, I expressed my point of view, so other founders can either take it or not. I'm describing a real problem in enterprise AI. If pointing that out makes me "against the cult," so be it. I'd rather share what I learned the hard way than repeat talking points that don't apply to my context.