Software designer/engineer. Creator of @flinto.
Silicon Valley
Joined November 2006
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Figma acquisition shows how hard it is to turn money into software. You'd think for $20B you could build something as good as Figma yourself, but you can't. Software is art.
“ Familiar Command key spacing”
That’s cool, reaching too far for command is my biggest gripe with most mechanical keyboards.
If you know Mac,
you already know this layout.
Long ESC.
Familiar Command key spacing.
MacBook-inspired key positions.
No relearning.
Just flow.
#Lofree #Flow2 #Flow2Mac#MacKeyboard #MacSetup #MacBookSetup
Why does Figma hide selection handles when moving a layer but not when resizing it? Any guesses?
Maybe just to keep the width/height values visible? But you could do that without showing all the handles/outlines...
cc @steveruizok
which voice transcription app has the smallest delay between pressing a button to activate it, and being able to speak?
This is the way. Feels very @imbajs
Nathan Manousos retweeted
This is why PR diff speed matters. This isn't a dunk on GitHub specifically, because GitLab, Forgejo, etc. are all equal or worse. But this is the kind of thing that drives me nuts, because this is a core workflow and its slow enough I literally take my hands off the keyboard.
Btw, when my mouse jiggles on the left, its because the page is literally skipping frames and I'm instinctively shaking my mouse to see if it'll respond. And on the keyboard input you can literally here me finish typing before a letter even shows up.
For someone like me who is an expert at these tools, my brain navigates the tool dramatically faster than it can keep up, and that is not good. The tool should not get in the way.
I feel like not enough attention is being paid to the way @_chenglou created Pretext.
A lot of smart people are asking versions of "If AI is so good why isn't there any new groundbreaking work produced by it"
This seems like a perfect example of that because...
The engine’s tiny (few kbs), aware of browser quirks, supports all the languages you’ll need, including Korean mixed with RTL Arabic and platform-specific emojis
This was achieved through showing Claude Code and Codex the browsers ground truth, and have them measure & iterate against those at every significant container width, running over weeks
I'm trying this now with goal mode in codex. I'm trying to get it to run a weird C library on a PlayDate device (something I have no idea how to do) and it's been running for like 30 hours and seems to be making actual progress. This is legit exciting to me.
Oh and another example, @wesbos ran his agent for 3.5 hours to hack his studio lights and "gave it a laboratory" by pointing a webcam at the lights so claude could verify if they were on.
xitter.cf/wesbos/status/20546007…
Burned $91.34 with Claude Code /goal in 3.5 hours
Unreal, It was able to reverse engineer it!
Nathan Manousos retweeted
Quick update: not dead.
$FIG Q1 results:
→ 46% YoY revenue growth, accelerating for the 2nd straight quarter
→ Net Dollar Retention Rate increased to 139%, our highest rate in over two years
→ Raising 2026 revenue guidance for the year
Design matters more than ever.
Guys I fixed the Figma color picker so you can drag the little thingy without it jumping around.
Now I can precisely adjust the color!
Does anyone care? Should I share this hack?
Nathan Manousos retweeted
My dear front-end developers (and anyone who’s interested in the future of interfaces):
I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept):
Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow
Nathan Manousos retweeted
I’m very happy to present my toy research project: Sotaku!
It's a neural net that automatically discovered the rules of sudoku and learned to solve them, achieving a new state-of-the-art score of 98.9% on one of the hardest sudoku datasets, while being agnostic to the game, and beating all other sudoku-optimized neural net architectures*
Read more for fun motivations, plus some extremely unconventional discoveries, e.g. reverse curriculum consistently beating curriculum (!), emergent reasoning-like capabilities, and the future of traditional programming
They said AI was gonna take my job. Meanwhile, CSS:
