Emilio Escobar
3.6K posts

Emilio Escobar
@eaescob
Ettercap guy, CISO @Datadoghq, angel investor, passion for all things tech. Views are my own and not of my employer. Mastodon @[email protected]
Los Angeles, CA Katılım Kasım 2010
1.8K Takip Edilen1.9K Takipçiler

@peduarte Saw your tweet while installing it. Thx for responding, on it already!
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Omarchy 3.7 is out! Huge release with new CLI, tons more gaming options, unlock screen themeing, OCR text extraction, cliamp, Asus ExpertBook PTL compatibility, and a million other fixes and improvements. github.com/basecamp/omarc…




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I commend how @vercel has communicated through out their investigation. Communicating during an incident is a damned if you do and damned if you don’t situation. You say too little you get yelled at, you wait for details it’s bad. 1/2
Vercel@vercel
Our investigation has revealed that the incident originated from a third-party AI tool with hundreds of users whose Google Workspace OAuth app was compromised. We recommend that Google Workspace Administrators check for usage of this app immediately. #indicators-of-compromise-iocs" target="_blank" rel="nofollow noopener">vercel.com/kb/bulletin/ve…
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@saranormous But what we're seeing is what i call the modern version of phishing. Instead of going after regular users via email, the devs and CI runners are the targets.
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Almost every SaaS app inside Vercel has now been replaced with a generated app or agent interface, deployed on Vercel.
Support, sales, marketing, PM, HR, dataviz, even design and video workflows. It’s shocking.
The SaaSpocalypse is both understated and overstated. Over because the key systems of record and storage are still there (Salesforce, Snowflake, etc.)
Understated because the software we are generating is more beautiful, personalized, and crucially, fits our business problems better.
We struggled for years to represent the health of a Vercel customer properly inside Salesforce. Too much data (trillions of consumption data points), the ontology of Vercel was a mismatch to the built-in assumptions, and the resulting UI was bizarre. We generated what we needed instead. When you don’t need a UI, you just ask an agent with natural language.
We’ve also been moving off legacy systems with poor, slow, outdated, and inconsistent APIs, as well as just dropping abstraction down to more traditional databases. UI is a function 𝑓 of data (always has been), and that 𝑓 is increasingly becoming the LLM.
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@v0 "If you were one for the top designers, how would you criticize our existing design" and named a few services (@linear and @vercel) that I think have great designs. This led to the current design of whatsdown.ai.
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But as a counter example for whatsdown.ai, I suck at design. So I didn't know what to prompt for as far the design and experience I wanted (I don't know the terminology). So what worked for me, curious on your thoughts, was to prompt @v0 with 3/
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Fun little project I've been working on: whatsdown.ai. You can configure your agents to check the status of AI related services and report issues. Totally vibe coded and designed by @v0. Thanks for the feedback @rauchg. 1/
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