Zypsy

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.

A small look at our 3D nuclear reactor visualization. The craft coming out of the @zypsy team lately is just energizing. More soon.

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 LOGS ARE ALL YOU NEED The "Three Pillars of Observability" is an outdated idea.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: sazabi.com

It's been over a decade since "observability" became a software engineering concept, discipline, and product category. Why does it still suck? 🧵

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.

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

🌁 YC F25, mark your calendar. See you at Partner Day on October 20 x.com/zypsycom/statu…

We just launched @Exein_io's new brand. As billions of devices (from industrial machines to robotics) come online, security becomes a bigger risk. Exein is the cybersecurity immune system - bringing security directly onto devices. Congratulations on your €70M Series C.

Can AI workflows deliver quality? We experimented and shared the workflow. Real process and results, inside.

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

It was designed to improve database management teams, not replace them. With the efficiency of Crystal DBA, talented team can focus on what really matters, shifting them from firefighting to proactive management.

Crystal DBA makes it simple to manage optimized and reliable databases without disrupting existing workflows or hiring new staff.

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.”

Learn more: zypsy.com/investment

Introducing Zypsy Capital — an investment fund backing startups with capital and hands-on design. We invest in founders who believe great products start with great design, offering the support they need from a team that knows what it takes to build something exceptional.

We’ve spent years building products alongside founders and early-stage teams. Now, we’re investing in them.

Short-form videos to long-term partners. When we started working with Captions, they were an early-stage startup generating captions for short-form videos. They started out as a tool to help Gen Z creators. We worked together with them to explore and build new features. As they grew, the product did too. It gradually became a sophisticated video suite for professionals. They now offer creators everything from automatic editing tools and multi-lingual dubbing to fully AI generated videos featuring the world’s first 3D avatar.