A little exploration from the cutting room floor, playing with pixelation, digital textures, and a different visual language for bringing virtual reality to life.
Sometimes the ideas that don’t make it are just as interesting as the ones that do.
5. A brand is the reason people choose you when they could choose anyone else.
BrandOS keeps everything you make feeling like the company they chose.
https://t.co/07Zg2ZjncC
4. It’s not new software.
It’s portable, and it works with ChatGPT, Claude, Cursor, and whatever comes next.
The tools will change. The brand shouldn’t have to.
What would accounting look like if you rebuilt it from scratch for AI?
Most systems keep the number and lose the story behind it. AI can’t automate what it can’t see.
Grateful to Parker Gilbert and @numeric_io, one of our earliest clients and investments.
5 years ago, a friend introduced me to @zeyalater.
Over the years, he’s been instrumental in helping Zypsy partner with founders. He never had to go out of his way, but he always did.
The crazy part is that until last week, we’d never actually met in person. After years of being pen pals, we finally got to shake hands.
Zeya, thank you for believing in us and having our back all this time. Grateful for you, and looking forward to the next 5.
Today, we're launching Sazabi version 1.0.
The reality of shipping software as a team in the age of AI is actually crazy.
Agents merging their own PRs. Hundreds of deployments per day. A codebase that is constantly changing. Junior developers with 10x or 100x leverage. 😵💫
I spent the last year building a safety harness for teams that ship with AI. It's called @sazabi.
The premise is simple:
1. You send us logs.
2. We detect anomalies, investigate them, and send you back rich, actionable alerts about real problems in your app.
Sazabi helps you find issues before your users notice.
No monitors or noisy alerts. Just pure signal.
And today we're making it available for anyone to use.
We just launched the new Podium brand.
They raised $18m Series A and backed by @constructcap, @a16z, and @svangel.
@podium_automate builds industrial control panels.
Faster and better than anyone in their space.
We invested in @sazabi.
AI-generated code introduces new failure modes.
Sazabi is defining the observability layer for AI-native engineering.
Full thesis in the comment.
Introducing: Sazabi (@sazabi).
The AI-native observability platform for fast moving engineering teams.
Backed by engineering leaders from the world's top AI and dev tool companies: Graphite, Vercel, Browserbase, LangChain, Browserbase, and more.
Sazabi is taking a radically different approach to observability, centered on three core principles:
1. LESS IS MORE
Product engineers don't need more observability bells and whistles. They need clear, actionable answers. The best UX for observability is chat.
2. LOGS ARE ALL YOU NEED
The "Three Pillars of Observability" is an outdated idea. Logs can do everything traces can do, and more.
3. MONITORING IS DEAD
Creating static monitors for fast-evolving systems is a fool's errand. The future is something different entirely: agentic anomaly detection.
I started Sazabi out of desperation.
After years of working on observability systems at Crunchbase, Brex, and 11x, I was all too familiar with the toil and complexity.
Dashboards.
Monitors.
Session recordings.
Error tracking.
APM.
RUM.
Instrumentation.
OpenTelemetry.
Endless screens and configuration.
It was too much. And despite everything, my teams still struggled to find and fix production issues.
I was fed up.
I dreamed about a better way.
AI makes it possible.
Today, I'm proud to introduce Sazabi to the world and announce our closed alpha program. We're selecting 10 startups to participate.
Learn more: https://t.co/nUxOJ5Sq2W
Haven’t felt this inspired in a long time after meeting with @kingofstrato. Icarus is opening a new operational domain in the stratosphere for the US. Excited to partner on their mission.