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Daytona vs Microsandbox: A Technical Comparison Table of Contents * Why AI Products Need Sandboxing * Section 1: Executive Summary * 1.1. Overview * 1.2. Key Technical Differences * 1.3. Which Should You Choose? * 1.4. Key Differences Table * Section 2: How They Work * 2.1. Daytona Architecture * 2.2. Microsandbox Architecture
Okay, so if you're not into building a big startup with investors and splitting equity, you can try going solo and bootstrapped. Will it work for you? I don't know. It works for me, as far as I can tell - and I'm a tech person - by no means
This week, I’m introducing a new project at ScrapeNinja: a recursive web crawler, packed into an n8n community node. It isn’t just another scraper - it’s an advanced, powerful open-source tool that executes in your local n8n instance and can be used to harvest huge amounts of
I am a big fan of n8n and I am using it for a lot of my projects. I love that it provides a self-hosted version and this self-hosted version is not paywalled like if often happens with so-called "open core" products which just use "open source" as a marketing
I extensively use AI tools for coding - primarily Claude Sonnet 3.5 in VS Code Copilot and the OpenAI ChatGPT macOS app (using the 01 and 40 models) as of December 2024. While these tools, which felt groundbreaking just months ago, have become an integral part of my daily
1.5 years ago, I wrote a blog post sharing my thoughts and experience on using Make.com, Zapier, and Pipedream from my perspective (I recommend reading that piece before continuing here). When exploring these awesome platforms, I was mostly interested in how no-code and low-code products can enhance my
