981–990 of 1001 posts
github link: https://github.com/cgranier/tabSidian
Links to all the browser extension stores on github.
I was hitting Claude Code's rate limit pretty often while paying for their max subscription. Started thinking – I've got a decent GPU sitting at home doing nothing most of the day. So I'm building a distributed AI inference platform where you can run models on your own hardware and access it from anywhere privately. Keep your data on infrastructure you control, but also leverage a credit system to tap into more power…
https://www.youtube.com/watch?v=2jmWnPfgtik
[End] --- for the visuals, reflect on the lyrics... think about AI learning more about how its thinking interacts with manifolds...
⎿ Claude usage limit reached. Your limit will reset at 3pm.
/upgrade to increase your usage limit.
Honestly struggling with whether it's solving a real problem though. The detailed tracking with quantities and calories feels like too much friction.
Would love to hear if anyone actually tracks their meal habits and what works for them.
Also... would it be crazy if services and social media were text-based applications too?
Not necessarily through telnet, but with some kind of standard so that instead of the web/browser, we use a CLI(s).
I dunno, maybe I’m just bored.
Every week I pull together all the new talk recordings from hundreds of conferences (Devoxx, KubeCon, PyCon, QCon, LeadDev, dotJS, and many more) as well as podcasts. I highlight a few must-watch ones with short summaries, then include a list of everything else uploaded that week.
It started as a personal project to fix my own messy YT subscriptions, and now 7,000+ people read it. I also publish fun extras like “Most Watched Talks of 2024” for Python, Java, Rust, etc.
If you watch engineering talks, you might find it useful. I’d love to know what you think!
I open-sourced the RAG boilerplate I’ve been using for my own experiments with extensive docs on system design.
And I have bunch of LLM+RAG blogs I post frequently last 2 months : https://mburaksayici.com/blog
It's mostly for educational purposes, but why not make it bigger later on? Repo: https://github.com/mburaksayici/RAG-Boilerplate - Includes propositional + semantic and recursive overlap chunking, hybrid search on Qdrant (BM25 + dense), and optional LLM reranking. - Uses E5 embeddings as the default model for vector representations. - Has a query-enhancer agent built with CrewAI and a Celery-based ingestion flow for document processing. - Uses Redis (hot) + MongoDB (cold) for session handling and restoration. - Runs on FastAPI with a small Gradio UI to test retrieval and chat with the data. - Stack: FastAPI, Qdrant, Redis, MongoDB, Celery, CrewAI, Gradio, HuggingFace models, OpenAI. Blog : https://mburaksayici.com/blog/2025/11/13/a-rag-boilerplate.h...