We should have the ability to run any code we want on hardware we own (hugotunius.se)

2069 points by K0nserv 13d ago 1203 comments

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1582 points by nromiun 14d ago 526 comments

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917 points by dmitrybrant 6d ago 319 comments

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900 points by excerionsforte 4d ago 1936 comments

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867 points by robtherobber 3d ago 938 comments

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765 points by dbalatero 10d ago 482 comments

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667 points by Bogdanp 3d ago 522 comments

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665 points by coloneltcb 4d ago 255 comments

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655 points by nobody9999 2d ago 86 comments

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640 points by gmays 9d ago 46 comments

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626 points by b_mc2 1d ago 498 comments

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613 points by rbanffy 4d ago 204 comments

Show HN: council - ai groupchat of ctos (no more asking ai to roleplay)

9 YAndreaRusso 8 9/13/2025, 8:38:16 PM trycouncil.com ↗

i made a council of advisors to help me code. as a self taught dev, ive been heavily reliant on ai for the past two years. found myself often prompting claude to take on different personalities, so i built a web app. it's great for the step before telling cursor what to do and reviewing prs once theyre ready. PLEASE DON"T NUKE MY APY KEY. ty

Comments (8)

rylan-talerico · 3h ago

Have been looking for something like this

YAndreaRusso · 2h ago

love it

jclvsh · 4h ago

This looks really interesting — I can see how it’d be useful for building my applications. How does it compare to using Claude directly?

YAndreaRusso · 3h ago

much better, Claude returns 1 answer with 1 perspective, my council returns 5. so if i have a problem i can run the council through it and move forward with whichever solution i think is best. sometimes its ship fast (levels / sahil) and sometimes its more detailed like torvald

drajan · 3h ago

this is really cool, how did you decide on those 6 default CTO advisors

YAndreaRusso · 2h ago

Thanks, I just wanted different philosophies on shipping code: - If you're stuck on something hard, Peter would say "ship the hecky version tomorrow". - Linus would want proper code review first. - Carmack would rewrite your algorithm and find some clever way to do it with after components.

Basically covered the main approaches: ship fast and iterate. - Peter Sahil optimizes for performance that's Carmack. - Build for scale through process Linus. - Elegant hardware solutions Woz - the modern ML approach with Karpathy.

andyprevalsky · 3h ago

Wow this is actually dope

YAndreaRusso · 3h ago

ty !!!