gourneau

Joined 19 years ago

Karma
2,750
Submissions
443
Member since
Mar 28
http://josh.gourneau.com I am a belt buckle engineer http://tnbelt.com

I am also an enthusiast of Python, Django, Linux, and mobile devices.

View on Hacker News

Recent submissions

Comment · 2 days ago
Is there any reasonable cost-effective way to import these into the USA? Or is that path blocked due to regulatory safety things?
Comment · 2 months ago
Burning Mesh is a volunteer-run, off-grid LoRa mesh network for Burning Man — works without cell service or WiFi. Last year there were around 1,700 nodes on the playa, which is dense enough that they had to build custom firmware just to keep the mesh usable. The 2026 firmware went live recently. I'm just planning to join with a couple of nodes myself, not involved in building it. Hope to see y'all at the burn!
Comment · 2 months ago
Comment · 11 months ago
Check out the Goodwatch from Travis Goodspeed https://github.com/travisgoodspeed/goodwatch

It is a"replacement circuit board for the Casio 3208 module, used in the Casio CA-53W and CA-506 calculator watches" and very neighborly.

Comment · 1 year ago
I’m working with several Postgres databases that share identical schemas, and I want to make their data accessible from a single interface.

Currently, I’m using Postgres FDWs to import the tables from those databases. I then create views that UNION ALL the relevant tables, adding a column to indicate the source database for each row.

This works, but I’m wondering if there’s a better way — ideally something that can query multiple databases in parallel and merge the results with a source database column included.

Would tools like pgdog, pgcat, pganimal be a good fit for this? I’m open to suggestions for more efficient approaches.

Thanks!

Comment · 1 year ago
Thanks for the Pigsty link. I have been a big fan of running Postgres on metal machines.
Comment · 1 year ago
Here's hoping LLMs stick to the naming trend used for telescopes like the ELT:

• Large Telescopes → Large Language Models (LLM): Solid start, foundational capabilities.

• Large Telescope (VLT) → Very Large Language Models (VLLM): Major upgrade in size and skills.

• Giant Telescopes → Giant Language Models (GLM): Multimodal, smarter and more specialized.

• Extremely Large Telescope (ELT) → Extremely Large Language Models (ELLM): Expert-level, cross-domain.

• Overwhelmingly Large Telescope (OWL) → Overwhelmingly Large Language Model (OWLLM): Theoretical AGI, huge power, ethical dilemmas.

Comment · 2 years ago
I have used https://github.com/lastmile-ai/aiconfig to encode some of my more common prompts into application like things. You can encode them into a yaml/json file.
Comment · 2 years ago
So far I have paid out of pocket, I have an insurance claim but I expect to at least max out of deductible.
Comment · 2 years ago
Comment · 2 years ago
Meta folks if you are reading this , please give us a real SDK. Great hack though until we get that!

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton