Shay Frendt

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Shay Frendt

Shay Frendt

@shayfrendt

CTO at @glideapps, previously @github. Long #Bitcoin.

Wake Forest, NC Katılım Mart 2007
1.2K Takip Edilen1.3K Takipçiler
Shay Frendt
Shay Frendt@shayfrendt·
@jdsimcoe @mercury LOVE your UX. It is so refreshing to get to work with a bank that cares about the user experience and keeping friction low. It’s been getting so good lately! Keep going!
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Jonathan Simcoe
Jonathan Simcoe@jdsimcoe·
it was wild watching @claudeai Design spin up a working version of our @mercury design system after spending 10m with our code. it got 90% there on the first try. also getting a full feature prototype live took minutes.
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Shay Frendt
Shay Frendt@shayfrendt·
So @Delta is the desired customer experience here: 1. I pay you for a seat upgrade. 2. You're aware that you can't deliver on that contract. 3. You assign me homework? What if you automatically refunded and perhaps throw in a complimentary seat voucher to offset 4 hours of lost working time on the laptop? Please?
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Shay Frendt
Shay Frendt@shayfrendt·
Nerdmaxxing with 4 Claude Code agents on United wi-fi while en route to San Francisco. Somehow I get paid for this? Can you imagine sending a telegram via Pony Express and using an outhouse in the winter...
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superwhisper
superwhisper@superwhisper·
Superwhisper's next update might be too powerful to release publicly. The new voice model is so fast at transcription it started finishing sentences users hadn't thought of yet... We even put it in a sandbox and it dictated its way out. It also identified a flaw in the English language that had gone unnoticed for 600 years. Linguists have been informed. Out of an abundance of caution, we are withholding the update until further notice. Sincerely, The Superwhisper Team
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Shay Frendt
Shay Frendt@shayfrendt·
Finally get to take that vacation I've been planning.
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Jacob
Jacob@fat·
Code[dot]Storage A new Git provider for machines by @pierrecomputer. In Oct, Github shared they were averaging ~230 new repos per minute. Last week we hit a sustained peak of > 15,000 repos per minute for 3 hours. And in the last 30 days customers have created > 9m repos🧵
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Shay Frendt
Shay Frendt@shayfrendt·
Incredible work! So cool to see this flow built on the Ramp Inspect foundation. You guys are crushing it and paving a path for the rest of us. The future of continuous improvement via tastefully applied runtime observability and backpressure is bright!
Ramp Labs@RampLabs

We built a codebase that maintains itself. An agent instruments every pull request, triages alerts, and pushes fixes autonomously. The system runs on a thousand AI-generated monitors, one for every 75 lines of code.

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Shay Frendt retweetledi
Atal
Atal@ZabihullahAtal·
🚨 BREAKING: A new research paper proved that the future computer will have no apps at all and no operating systems like Windows, macOS, or Linux. Instead, it may run entirely on AI agents. The concept is called AgentOS. Here’s the problem researchers identified. Today’s AI agents are becoming incredibly capable. Systems like OpenClaw can already: • control a local computer • execute complex workflows • connect and use external tools • perform multi-step tasks autonomously But there’s a hidden limitation. All of these agents still run inside traditional operating systems. And those systems were designed for a completely different era. Modern operating systems like Windows, macOS, and Linux were built around two interaction models: • GUI (Graphical User Interface) clicking icons and navigating windows • CLI (Command Line Interface) typing commands into a terminal These models were designed for humans manually operating software. Not for AI agents coordinating complex tasks across dozens of tools. This creates a fundamental mismatch. And it leads to several problems. First: fragmentation. Every application exists in its own silo. Data, workflows, and permissions are separated across different programs. Second: context loss. When a task spans multiple tools, the system has no unified understanding of what the user is trying to accomplish. Each app only sees a small piece of the workflow. Third: messy permissions and hidden automation. Many AI tools bypass normal system controls to get things done. Researchers call this phenomenon “Shadow AI.” Where autonomous agents operate across systems without clear structure, governance, or transparency. In short: AI agents are powerful. But the operating system architecture isn’t designed for them. So researchers propose a new paradigm. A new type of operating system called AgentOS. Instead of apps running on the system… The system itself becomes an AI coordination layer. At the center is something called the Agent Kernel. Think of it as the brain of the entire computer. This kernel continuously interprets user intent and manages intelligent agents. It can: • understand natural language requests • break complex tasks into smaller steps • coordinate multiple specialized AI agents • select the right tools for each step And traditional software? It evolves into something called Skills-as-Modules. Instead of launching separate applications, capabilities become modular skills that agents can dynamically combine. For example, instead of manually opening multiple tools: • a document editor • a spreadsheet • a presentation app • an email client You simply say: “Analyze this report, extract the key insights, create slides, and send them to my team.” The Agent Kernel interprets the request. Then it automatically selects and orchestrates the required skills. No apps. No switching windows. Just intent → execution. In other words: Computers stop being app platforms. They become intent platforms.
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Shay Frendt
Shay Frendt@shayfrendt·
The next wave of business productivity will come from automating the “finished work” that knowledge workers produce as part of the repeatable business processes they own. Those who delegate their work by creating agents (AI employees) in this capacity will be promoted, get raises, and become the most valuable employees in the company. After decades of stagnant wages, there is finally a path towards both helping your company be more efficient while increasing your earnings along the way. The company needs you to keep automating in order to remain and become more competitive.
GREG ISENBERG@gregisenberg

you don't need to overthink this when you look at this goldman sachs chart long enough it becomes pretty obvious how people will build the next wave of $10m-$100m+ ARR vertical ai companies ill break it down so we all know every business function produces something tangible 1. a recruiting pipeline produces candidate summaries 2. a finance team produces monthly reporting packages 3. a real estate team produces market analyses and listing packages those outputs come from repeatable processes that pull information from a handful of systems and sources. builders who win in this environment start by understanding how those outputs get created today they collect real examples, reconstruct the process step by step, then design software that gathers the inputs and assembles the finished output automatically as adoption grows, the system expands into adjacent responsibilities until the product becomes the infrastructure that function runs on most people still think in terms of software categories. CRM. ATS. ERP. project management. that framing misses what is happening the next great vertical ai companies will be built around finished work. they will own the artifact the customer actually cares about, then expand outward until they own the function so the opportunity isnt really “build an ai tool for real estate” which is what i see a lot of on twitter the opportunity is much more specific: 1. build the ai employee that creates the broker opinion of value 2. build the ai employee that prepares the insurance renewal package 3. build the ai employee that drafts the first version of the investment memo 4. build the ai employee that assembles the lender reporting package every month that is how small software companies become very large ones in this market start with one painful output, automate it well, then expand until you own the workflow basically you go from automation to ai employees if you don't remember anything from this long post, remember that it's obvious that this is where its all going you dont need to overthink it you're in the robot business now

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Shay Frendt retweetledi
Glide
Glide@glideapps·
Businesses don't run on vibes. They run on systems they can actually inspect and understand. That's why the new Glide starts with your spreadsheet and builds from there. Join the waitlist for early access: glideapps.com/new
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Maor Shlomo
Maor Shlomo@MS_BASE44·
I can finally share that base44 passed $100M ARR, and is growing faster than ever. This makes us one of the fastest companies to do so. Definitely the fastest without VC backing :) I'm taking some time to digest. This milestone is surprisingly emotional for me, to be honest. Maybe it's just reflecting on how crazy this past year has been. I'll probably post some stuff i've learned from powering through it. But for now - I want to thank our users, for trusting us to turn their wildest ideas into reality. For building their businesses on our platform. And for pushing us to be a better product every day. Base has by far the wildest, most valuable community in this market, and it’s not even close. And lastly, It's hard to state how much I'm grateful for the Base44 team. Thank you for being there with me, in the trenches, on this generational run. You're the most talented, hard working, sometimes funny people I've worked with. ------ 5 million users later, It's still day 1 for base44
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Shay Frendt
Shay Frendt@shayfrendt·
We have been working super hard on an AI-native product experience for the last 6 months, rebuilding our entire platform from the ground up to better serve our current and future customers. I am so appreciative of the nonstop Looms, Zooms, Notion docs, and Slack messages happening between our amazing customers and our talented team of Gliders while incubating this experience. The feedback so far makes me very excited for the future of business software! We've learned so much along the way, and I can't wait to learn even more and begin sharing more in the open soon.
Glide@glideapps

Introducing a new Glide, built for the AI age. The new Glide combines the power of generative AI with the visibility and control of spreadsheets and no-code. We're doubling down on our core spreadsheet to app functionality, and making it 100X more powerful. But that's not all... Join the waitlist to be one of the first to experience the new Glide: glideapps.com/new

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David Siegel
David Siegel@dvdsgl·
Glide has turned millions of spreadsheets into software. A bold new chapter is starting soon... and it still starts with a spreadsheet.
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