Auto-aggregated global tech articles · 137 posts
Hey everyone, As a side project, I wanted to build an alternative to legacy fragrance databases that are notoriously plagued by 10+ ad networks, sluggish client-side rendering, and bloated tracking scripts. The project is Olfactionary. The Engineering & Data Challenge: Relational Scale: Built a
Hi, im working at a restaurant as a man, and recently they needed an updated website. I have the website, but I have <meta name="developer" content="First Last"> (not actually First Last)in the head to show I made it for the future, but I am a trans woman and go by a different name. If i use m
TinyML on a Raspberry Pi 3: LesionIQ Scans Skin Lesions Offline circuitrocks circuitrocks
submitted by /u/michaelhuman [link] [留言]
Lets say I have a claude session running on a server. Is there a (prefferably web) tool that would allow me to manage it (write prompts, make choices, switch between sessions) from my phone or any other device within network? Thanks submitted by /u/TheShalty [link] [留言]
Consider the home page of a blog -- a list of posts in reverse chronological order, stretching down the page. How long does this list need to be before you decide not to list display the entire thing? File/payload size isn't much of an issue. The page compresses well -- right now, it only transfers
hi im a new dev exploring places happy to chat submitted by /u/anonymous20256 [link] [留言]
Hello, I have been thinking about a project I‘d like to try out, where I have like a Database, an api server and a web server. It‘s not too large, and mostly to learn about how they all interact. The issue is, I would prefer not having to pay for multiple servers to host everything. Is there a way t
If you're an Elm developer writing Haskell and you like elm/json, you might like dwayne/hs-json-codec. hs-json-codec provides JSON decoders and encoders for Haskell in the style of elm/json. It's built on dwayne/hs-json-parser, a general-purpose JSON parser and printer that I also wrote. I built b
Most teams debugging a disappointing RAG system start at the end of the pipeline. They swap the model, tune the prompt, raise top k. The answer quality barely moves, because the problem arrived long before the query did. A retrieval system can only return what it indexed. Everything downstream inhe
Als Hobbyprojekt submitted by /u/Puzzleheaded-Half993 [link] [留言]