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Awesome Go0 Hot0 comments3 min read
standup-sloth: a local LLM drafts your standup, and a citation check keeps it honest
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady ... Tagged with devchallenge, hf26challenge, opensource, go.
Source: https://dev.to/dhanushnehru/standup-sloth-a-local-llm-drafts-your-standup-and-a-citation-check-keeps-it-honest-5h7h. 8 Sync News only summarizes and links out; content copyright belongs to the authors and original sources.
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DEV212 Hot7 min
I Built a Visual System Design Reference — Switch Any Architecture Between AWS, Azure, GCP & Open Source
I Built a Visual System Design Reference — Switch Any Architecture Between AWS, Azure, GCP... Tagged with systemdesign, webdev, opensource, showdev.
Noted194 Hot5 min
openGym: Self-Hosted Workout and Fitness Tracker
openGym is a free, self-hosted fitness tracker that lets you manage workouts and follow your progress on your own server.
XDA Developers1 Hot2 min
The tidal wave of AI bug reports may hopefully come to an end as Linux 7.4-rc2 got more fixes than reports
Keyword being 'hopefully'.
Hacker News2 Hot3 min
KetchUp – Open-source SketchUp alternative built with Rust and WebGPU
Free, open-source 3D modeling for woodworking and furniture design. Plan shelves, tables, and cabinets with precise dimensions on Windows, macOS, Linux, or in your browser.
Hacker News18 Hot2 min
Rune: A native GPU-rendered Rust UI framework for macOS, Windows, Linux and web
Rune: Native UI framework. Contribute to anomalyco/rune development by creating an account on GitHub.
Flavio Copes130 Hot6 min
How to run an LLM locally
Run an LLM locally with Ollama. See how much memory you need, where LM Studio and llama.cpp fit, and how to call the model from code.
Daily Dose of Data Science | Avi Chawla | Substack149 Hot7 min
RAG vs. Vectorless RAG, clearly explained!
...explained visually (with tradeoffs in production).
scottstuff.net1 Hot9 min
Video Encoding for the Web in 2026: Part 2: Methodology and Tooling
This is Part 2; see Part 1 for an introduction. Methodology My big goal here is to be able to repeatably measure how well various video encoder settings work against the types of videos that I care about. In 2025, I took a single 1080p test video1Included as deception1, below. and ran around a thousand tests against it to see how well various H.265 encoding options worked. This time, I wanted to test against multiple videos and multiple encoders to get a much wider view of encoding performance. Before I started this, I wanted to improve my tooling so I wasn’t wasting time or measuring the wrong thing.
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