Building Tools, Building Culture

Last weekend, I sunk hours into over-engineering an avatar builder for Jasin. Pure catnip for the designer in me: custom inputs, slick UI, endless little decisions that felt important. But after hitting a few stubborn bugs, I paused long enough to ask myself the obvious question: Who’s actually going to use this?

Spoiler: Nobody.

It’s a common trap: when personal passion masquerades as product validation. It feels like progress because you’re busy, engaged, and “shipping.” But it’s often just motion without traction. A feature no one touches doesn’t add value. It just adds weight.

In today’s world, building is easier than ever. Deciding what to build and why: that’s the hard part. Most of the time, a few quick customer calls, a rough prototype, or a ruthless two-week usage check will tell you more than weeks of building ever will.

Most Interesting

The scratch-my-own-itch trap

Jason Cohen explains why “I built it for myself” sounds better in theory. Founders love this origin story, but it often skips the hard part: finding out if anyone else needs the thing you’re building.

Notion Mail is here

Notion’s take on email: designed for people who live in their workspace.

Top Resources

Monaspace

GitHub Next and Lettermatic built a type family that softens monospaced fonts. It adjusts spacing dynamically, so your IDE looks less like a ransom note. Tiny fix, massive daily impact.

That Guide to UI Design

A comprehensive, well-organized guide to UI design principles and patterns.

People’s Graphic Design Archive

Design history, told by the people who made it. A messy, beautiful, crowd-sourced time machine. Oral histories, process docs, weird stuff from the 90s: it’s all in there. Less museum, more mixtape.

Figma’s data says creative teams are thriving. 41% more satisfaction, 97% remote, and finally some respect for design orgs. Figma’s report proves smart management and lightweight AI aren’t perks: they’re baseline. Happy teams build better products.

A practical guide to building agents

OpenAI’s official guide to building AI agents: practical, grounded, and useful.

The new moat: Memory

Jeff Morris Jr. breaks down OpenAI’s new memory feature, and why it changes the game. Persistent context means less prompting, better outputs, and a bond that’s hard to replicate. Stanford data shows a 62% bump in long-haul tasks.