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ThomIves

1 karma · joined March 17, 2026

Data scientist, AI / ML engineer, multi-physics modeler. Building PostalDataPI (postaldatapi.com).
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ThomIves··on Easyduino: Open Source PCB Devboards for KiCad
I am eager to check this out. Thanks for sharing it!
ThomIves··on Ask HN: What are you working on? (April 2026) (Non AI)
Building a global postal code API (240+ countries). Just shipped per-country landing pages with format references and regex patterns. $0.000028/query with no tiers, sub-5ms. Bootstrapped, solo.
ThomIves··on Ask HN: What Are You Working On? (April 2026)
Building a global postal code API (240+ countries). Just shipped per-country landing pages with format references and regex patterns. $0.000028/query with no tiers, sub-5ms. Bootstrapped, solo.
ThomIves··on Universal Claude.md – cut Claude output tokens
Nice!
ThomIves··on Sylve – Proxmox Alternative by FreeBSD
Just read another article about Sylve too. I might have to check it out. I do like PVE, but maybe Sylve would be a step up.
ThomIves··on From Proxmox to FreeBSD and Sylve in our office lab
I was very happy to read this one. I do use ProxMox, and I have very few issues with it, but perhaps it would be worth the investigation.
ThomIves··on Show HN: Bamwor – Country data API and MCP server after CIA Factbook shutdown
Thank you for posting this. Very good to know!
ThomIves··on Arm AGI CPU
Thanks for this article. Very important news.
ThomIves··on Node.js needs a virtual file system
I loved this notion from just the title, and then eagerly read the post. BRAVO! I am investigating if I can, and how to, exploit this ASAP.
ThomIves··on Kagi Small Web
The insight that multi-agent coordination is fundamentally a type-checking problem — catch structural failures before spending the compute — is the most practical framing I've seen for this space. The adversarial composition example where information partitioning emerges from types rather than instructions is especially elegant. Looking forward to the follow-up on memory architecture.
ThomIves··on Give Django your time and money, not your tokens
With my type of development, I haven't run into the types of things, directly, that you very well explained, but I have personally run into the pain, I confess, of being OVERLY reliant on LLMs. I continue to try and learn from those hard lessons and develop a set of best practices in using AI to help me avoid those pain points in the future. This growing set of best practices is helping me a lot. The reason that I liked your article is because it confirmed some of those best practices that I have had to learn the hard way. Thanks!