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Overtired

Tech, Mental Health, and Taylor Swift

Month: May 2025

431: The A Capella Episode

Posted on May 12, 2025May 11, 2025 by Brett

Jeff Guntzel and Christina Warren, along with guest Bryan Guffey, dive deep into a capella groups, vibe coding, and AI tools. Mental health journeys and new therapies, plus tech tips, including the use of granola and the Limitless pendant…

https://media.blubrry.com/231067/backbeat.cachefly.net/terpstra/overtired/ot431.mp3

Podcast: Play in new window | Download

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Christina’s GitHub Stars

★ nxtscape/nxtscape
Nxtscape is an open-source agentic browser.
★ moonlight-stream/moonlight-qt
GameStream client for PCs (Windows, Mac, Linux, and Steam Link)
★ PierreBeucher/cloudypad
Free, Open Source alternative to GeForce Now, Blacknut and similar Cloud Gaming platforms. Deploy your own gaming gear in the Cloud ! 🎮 ⛅
★ boldsoftware/sketch
autonomous software apprentice
★ cassidoo/pocketcal
Pick dates, share a link, and that's your calendar!
★ devflowinc/trieve
All-in-one platform for search, recommendations, RAG, and analytics offered via API
★ PromtEngineer/localGPT
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
★ pionxzh/chatgpt-exporter
Export and Share your ChatGPT conversation history
★ zachlatta/sshtron
$ ssh sshtron.zachlatta.com
★ NSTiwari/Sketch2Vid
This repository is an implementation of converting sketches into lively videos using Google's Veo 3 model.
★ google-deepmind/graphcast
★ ariG23498/gemma3-object-detection
Fine tune Gemma 3 on an object detection task
★ ChefKissInc/QEMUAppleSilicon
Apple Silicon devices emulated on QEMU, currently only iPhone 11.
★ t2linux/T2-Mint
Linux Mint for T2 Macs
★ t2linux/T2-Ubuntu
Ubuntu for T2 Macs
★ t2linux/kernel
Linux Kernel with T2-based devices support.
★ trycua/cua
c/ua is the Docker Container for Computer-Use AI Agents.
★ apple/containerization
Containerization is a Swift package for running Linux containers on macOS.
★ apple/container
A tool for creating and running Linux containers using lightweight virtual machines on a Mac. It's written in Swift, and optimized for Apple silicon.
★ sdl60660/letterboxd_recommendations
Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

→ See all of filmgirl's stars on GitHub

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