A design and investment firm for founders
San Francisco, CA
Joined February 2018
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Partnering on YC Design Day with @framer and @ycombinator - round 2.
Looking forward to helping P26 batch founders.
Zypsy retweeted
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.
Proud of the work we did with @ZettaJouleInc.
They're building advanced small modular reactors to power the world's most energy-intensive industries.
Zypsy retweeted
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The "Three Pillars of Observability" is an outdated idea.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: sazabi.com
Zypsy retweeted
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.
Huge congrats to the winner of F25 Group 1’s product showcase @kingofstrato
The future of war is drone war, and that will be won from 70,000 ft above: comms and overwatch from the stratosphere
Icarus is building the future and already driving 7 figures in revenue from US govt
Zypsy retweeted
Who knew cybersecurity could look this good? @Exein_io's new site is #MadeInWebflow by the talented team at @zypsy 👏🏽
Check it out here: wfl.io/4o5cTHx
Zypsy retweeted
🌁 YC F25, mark your calendar. See you at Partner Day on October 20
xitter.cf/zypsycom/status/197594…
It’s happening.
This month, we’re hosting Partner Day with @ycombinator and @framer in SF!
This event will be a space for YC founders to learn the design lessons and tools to drive momentum.
Excited for the next YC batch.
It’s happening.
This month, we’re hosting Partner Day with @ycombinator and @framer in SF!
This event will be a space for YC founders to learn the design lessons and tools to drive momentum.
Excited for the next YC batch.
Can AI workflows deliver quality? We experimented and shared the workflow. Real process and results, inside.
Tired: AI generated newsletter (we can tell)
Wired: AI to do the busy work (getting links, summarizing, formatting), humans to curate and finalize
Learn how @zypsy reduces the effort to create their weekly review newsletter with Gumloop while keeping curation & quality high
Zypsy retweeted
Just shipped our first fully-automated newsletter!
An experiment in merging editorial quality with AI workflows.
Here’s how we built it:
- The Funnel filters signal from noise
→ RSS feeds, Google Scripts, OpenAI
- The Editor curates and cleans
→ @gumloop
- The Delivery ships the final draft
→ Google Sheets, @make_hq, Mailchimp
It’s still early, just one news source, no verification yet.
But we’re testing how far we can push quality with automation at @zypsy.
Eval (via ChatGPT): Accuracy: 9/10, Value to VCs: 9.5/10
Follow along as we refine our weekly VC/AI curation: eepurl.com/jgk0CY
Databases run the world.
But “teams often find themselves Googling error messages at 3 AM or throwing more hardware at performance problems instead of addressing root causes.”
Crystal DBA makes it simple to manage optimized and reliable databases without disrupting existing workflows or hiring new staff.