ivo's home

Aurelio is a local-first financial planning app that tracks your accounts, portfolios, debts, and cash flow in a single SQLite database. It requires Node.js 22 and uv, runs locally via shell scripts, and stores records in backend/data.db. The optional AI advisor connects through OpenRouter using your own API key to answer questions and propose data changes.

It is worth a look if you want complete control over your financial data without SaaS subscriptions or cloud lock-in. The catch is the setup friction and the fact that AI-driven features like portfolio analysis cost real money per query and require manual validation. Skip it if you just want a hands-off spreadsheet or a plug-and-play bank aggregator.

more: https://github.com/LosaLosSantos/aurelio-finance

my other side: ivo.blogspot.com

Yuvraj Sharma and Abubakar Abid describe using an agentic HuggingChat tool called ML-intern to turn large models into tiny, CPU-runnable custom variants. For sixteen dollars of compute, the system takes an initial prompt and dataset, handles training and evaluation on Hugging Face hardware, and outputs models like a 0.8B Qwen-Image rewriter that replaces a 20GB teacher model. The process relies on detailed specification prompts that enforce baseline testing and strict budget limits.

It is worth trying if you routinely need task-specific models that fit on local hardware without paying API fees. The catch is that the output quality depends entirely on writing structured prompts up to two thousand words long, including verified facts and smoke tests. If you prefer turnkey tooling or do not want to curate training datasets, skip this approach.

more: https://huggingface.co/blog/building-with-ml-intern

my other side: ivo.blogspot.com

Magpie is a cross-platform menu bar app and local proxy that unifies dozens of AI coding agents behind standard wire APIs. It translates between OpenAI, Anthropic, and Gemini formats on localhost while managing quotas across multiple accounts and subscription logins. Instead of editing separate JSON config files for every tool, you pick a model from a list and the gateway handles failover automatically when limits hit.

It is worth installing if you juggle multiple CLI agents and paid accounts, saving you from manually rotating API keys when quotas run out mid-task. The catch is that routing traffic through an extra local proxy adds another moving part to debug when requests fail or tokens do not match up. Skip it if you only use a single official client and standard API keys without hitting limits.

more: https://github.com/yetone/magpie

my other side: ivo.blogspot.com