HN user
dat.adithya at gmail dot com
Same! I’m trying to find small models that can embed effectively to enable BM25/hybrid search over a large number of documents for a personal information repository. Ideally, it should run on consumer hardware.
bge-small-en-v1.5 is one that is comparable and what we’re working with for now.
The fluffy bench repository might not be enabled for public access btw. I can’t see it when I click on the link.
This is one of the major gripes that real estate sales agents have.
I’ve consistently heard complaints from customers that they don’t like it. At this point, map technology has come far enough that we could visualize thousands of points using Cesium on consumer-grade hardware so I don’t think it’s a performance issue either.
When it comes to overlapping dots, we generally solve this by displacing the dots minimally so that they’re all still in the same building or same area but visibly different locations.
This reminds me of DeepGrove AI’s ternary weight model: https://github.com/deepgrove-ai/Bonsai
Is there a particular difference that I might be missing here?
Location: Baltimore, MD, USA
Remote: Yes.
Willing to relocate: Yes, anywhere in the US.
Technologies: Languages[Python, Golang, TypeScript, Rust], Data Engineering Stack [DuckDB, Spark, Polars, FastAPI], GIS [Wails, React, Cesium], AI [HuggingFace, PydanticAI, PyTorch, vLLM, Transformers, OpenCV]
Resume: https://heltes.com/resume.pdf
Email: dat.adithya@gmail.com
The entire experiment just reminds me of Manna. We’re progressing a little too fast for comfort.
Hey Peter, I’m an F1 visa student and I’m trying to found a company with two Americans while being an Indian citizen. I plan on taking significant equity and will be part of the cofounders. Are there any significant hurdles that I should be on the lookout for here? I’d like to sign the founders agreement and found the company while I’m still pursuing my education but I’m not sure whether my visa status would throw any wrenches here.
It’s pretty much all you see nowadays on LinkedIn. Instagram is infected by AI videos that Sora generates while X has extremist views pushed up on a pedestal.
I suppose it’s only worth 256 words at a time right now. ;)
Hey, that's a pretty cool concept!
I work on developing technology to solve sales and real-estate problems and streamlining/populating connections with people is a big issue. Exporting these to an excel sheet/csv is something that sales folk would absolutely kill for to make things easier to manage.
However, the hurdle to have enough get the application and have it running on both parties' systems while at the event is certainly a pretty strong bottleneck.
Some vim user too! oil.nvim is a pretty popular package that does this.
I have largely the same setup but use neovim instead of obsidian.
A friendly tip: you don’t have to populate the metadata yourself and can use ‘hugo new <dir>/<post_name>.md’ to create the file with the metadata.
That's good to know!
Thanks for sharing, it feels nice to know that people actually have an interest in the concept.
Just went through the company's website, and I like how well the software ties into the company's motive/direction.
I'd appreciate an intro, thanks! I could send an email, or you can find mine on my bio :D
Indeed, I intend on having the user take over after identifying the food that we're working with.
The idea is to reduce the amount of redundant work (clicking a button to add a single ingredient over and over again), and rather push for minor modifications instead.
Oh yeah, manual input is going to be a big part of it. The system should ideally try to map the image to a standard recipe with the ingredients and then hand over control to the user to make any modifications they like.
Computing the nutrients from the ingredients should be reasonably accurate post this because that has a direct mapping in the USDA FoodCentral dataset.
Thanks! I'll send you an email sometime if I make any progress on it! :D
I've recently been prototyping a mobile application to track your food nutrition. The key feature lies in auto-detecting the food based on a given image, and breaking it down into it's ingredients and then into it's macros.
Existing apps such as MyFitnessPal and HealthifyMe fall into two ends of the spectrum where you either need to add ingredients one by one, or your food is logged with a standard macro count where you cannot change the ingredients used.
Weit ideally provides a seamless experience in taking a picture to retrieving ingredients to retrieving macros per ingredient. Once that's sorted, food tracking should be granular enough to build intelligence around it to improve one's diet based on their requirement.
Honestly, I used to constantly struggle with the realisation that none of my ideas are unique and whenever I see someone having built something similar, I feel like I'm wasting my time. I'm getting better at dealing with it now though.