Archive

Tools

run-llama/semtools: Semantic search and document parsing tools for the command line

Jujutsu  is a version control system with a significantly simplified mental model and command-line interface compared to Git, without sacrificing expressibility or power (in fact, you could argue Jujutsu is more powerful). Stacked-diff workflows, seamless rebases, and ephemeral revisions are all natural with jj, and it uses Git as a backend, which means you can begin using it non-destructively with a single command and can always drop back down to Git if you need to. -- from Jujutsu For Busy Devs | maddie.wtf; Jul 2025.

I'm still investigating (Aug, 2025), and hope to slowly learn why and how. Perhaps more links to read.

See also: Jujutsu for everyone, and Switch to Jujutsu already

Nano Banana — Google's Next-Gen Image Editing AI (Free to Try) | Nano Banana

Precise, controllable, and consistent image edits with mask-free inpainting, layout-aware outpainting, and conversational refinement.

See examples on the page.

Farer

1. Charlton Green - 38mm Swiss-Made GMT Watch With Sapphire Bezel
2. Mansfield Cushion Case - 38.5mm Swiss-Made Manual Wind Watch
3. World Timer

llama.cpp guide: running gpt-oss with llama.cpp

brew install llama.cpp
llama-server -hf ggml-org/gpt-oss-20b-GGUF \
  --ctx-size 0 --jinja -ub 2048 -b 2048 -ngl 99 -fa

This downloads a 12GB model file from ggml-org/gpt-oss-20b-GGUF on Hugging Face, stores it in ~/Library/Caches/llama.cpp/ and starts it running on port 8080.

You can then visit this URL to start interacting with the model: http://localhost:8080/

shortcut.ai -- AI powered Excel sheet. Not free $40/mo min.

Came to know about Task specific pruning via this X/MaximeRivest post. See (Reda et al. 2025)

Pruning might be useful for niche languages. (I am thinking of Nim after reading this thread earlier)

References

• Reda, Jangda, Chintalapudi (2025). Task Specific Pruning with LLM-sieve: How Many Parameters Does Your Task Really Need?.

Using OpenAI API for Sentiment Analysis by Ashwin Malshe; Code - GitHub:ashgreat/Sentiment-Analysis-OpenAI. The usual/classic way of doing Sentiment Analysis is using NLP.

#todo #exercise rewrite the same using dspy.

Kindle Modding Wiki

jailbreaking it takes 5 minutes and turns it into one of the cheapest, most capable eInk devices you can own. Runs Linux! -- via x/dqmonn

I have been using Hetzner for a while, and this page is to keep notes on things that might be beneficial on Hetzner.

Why use Dokploy -- DIY Serverless (with coreOS + dokploy)

load that VPS with a bomb-proof no-config OS like coreOS, and put Dokploy on it for a no-fuss container service UI. It gives you the hassle-free experience of a Heroku-like platform, but with the cost and independence of a VPS.

This way you can have your cake and eat it too: most of the benefits of serverless, with most of the benefits of running your own VPS.

Similar software mentioned in this HN discussion of the above article: Harbormaster