Life & fun · alternatives · 2026
24 alternatives to Fashion Shopping with Nearest Neighbors
I made this website with my wife in mind; it makes it possible to browse for similar fashion products over many different retailers at once. The backend is written in Swift, and is hosted on a single Mac Mini. It performs nearest neighbors on the GPU over ~3M product images. No vector DB, just pure matrix multiplications. Since we aren't just doing approximate nearest neighbors but rather sorting all results by distance, it's possible to show different "variety" levels by changing the stride over the sorted search results. Nearest neighbors are computed in a latent vector space. The model…
Fashion Shopping with Nearest Neighbors lets users browse similar clothing items across multiple retailers simultaneously. The tool uses GPU-accelerated nearest neighbor search across approximately 3 million product… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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We’ve just open-sourced Vicinity, a lightweight approximate nearest neighbors (ANN) search package that allows for fast experimentation and comparison of a larger number of well known algorithms. Main features: - Lightweight: the base package only uses Numpy - Unified interface: use any of the supported algorithms and backends with a single interface: HNSW, Annoy, FAISS, and many more algorithms and libraries are supported - Easy evaluation: evaluate the performance of your backend with a simple function to measure queries per second vs recall - Serialization: save and load your index for…
2024 · github.com · its alternatives →
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Lookverse.ai▲666App for personalized fashion discovery and shopping
2025 · apps.apple.com · its alternatives →
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I built a tool to reduce shopping returns. The tool provides accurate body measurements from images or video. By providing accurate measurements, customers will have confidence while shopping. The demo is free, so give it a try. All thoughts and feedback are appreciated.
2025 · snapmeasureai.com · its alternatives →
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I recently found myself computing the similarity between lots of very high dimensional vectors (i.e., sentence embedding vectors from LLMs), and I wanted to try some more powerful measures of similarity/dependency than just Cosine similarity, which seems to be the default for everything nowadays because of its computational efficiency. There are many other more involved measures that can detect more subtle relationships, but the problem is that some of them are quite slow to compute, especially if you're trying to do it in Python. For my favorite measure of statistical dependency,…
2023 · github.com · its alternatives →
- 5IM
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
2024 · papermatch.mitanshu.tech · its alternatives →
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The fastest way from search to purchase
2024 · perplexity.ai · its alternatives →
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Outfit.fm▲199Hey! I’ve launched Outfit.fm, an AI tool made for clothing brands/stores that allows them to create amazing photos showcasing their clothing products without spending a ton of money on finding and hiring a model, setting up a shoot location or buying a professional camera. It currently allows you to customize various aspects of the shoot like the model’s characteristics (age, ethnicity, etc.) and the photo background. Each photo takes about 60s to complete and is exported in high resolution. Try it out for free and let me know wdyt. Any kind of feedback is really appreciated!
2024 · outfit.fm · its alternatives →
- 8AG
This is a vector index I built that supports insertion and k-nearest neighbors (k-NN) querying, optimized for GPUs. It operates entirely in CUDA and can process queries on half a billion vectors in under 200 milliseconds. The codebase is structured as a standalone library with an HTTP API for remote access. It’s intended for high-performance search tasks—think similarity search, AI model retrieval, or reinforcement learning replay buffers. The codebase is located at https://github.com/rodlaf/BinaryGPUIndex.
2025 · rlafuente.com · its alternatives →
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Personalized fashion recommendations for Shopify
2021 · yesplz.ai · its alternatives →
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We built Valohai LLM for tracking and comparing LLM evaluation results. Whether your evals live in notebooks and spreadsheets, or you're using an observability tool that wasn't built for comparison, this gives you a purpose-built eval comparison dashboard. Run evals with a Python library (pip install valohai-llm), results stream in, and you can compare up to 6 configurations side by side. Group by any dimension (model, category, difficulty) to see where each model excels. It doesn't do tracing or production observability, for now just eval tracking and comparison. What's cool is that you can…
2020 · valohai.com · its alternatives →
- 11WM
We're a small team of 3 engineers, and wanted to make a better way to look for for properties online. Traditional portals (esp. outside of US) are just a bit rubbish for doing anything other than basic searching. So we've: - Created a crawler that reads through estate agents websites to find homes for sale - Parses that through a series of LLMs and other models to understand each home in depth (e.g. floor type, location, total sqft) - Parses every photo through an embeddings vector space so that people can search for whatever they want. Check it out: https://jitty.com Currently…
2025 · its alternatives →
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- 13IM
Click an image to get similar images. I crawled Tumblr and used SigLIP to get vector embeddings for many images. When you click an image, it finds the most similar vector embeddings in the database, and returns the corresponding images.
2024 · mood-amber.vercel.app · its alternatives →
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HNSW implementation in Rust. Reference: https://arxiv.org/ftp/arxiv/papers/1603/1603.09320.pdf - swapneel/hnsw-rust
2024 · github.com · its alternatives →
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Fashion, design, & style shopping personalized for you
2014 · apps.apple.com · its alternatives →
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Hey HN, A pattern I realized when I shopped for anything online is that by the end of my shopping session, I would accumulated over 15+ tabs. It's so easy to click on "Open in New Tab" that I figured other people have this issue as well.
2024 · curate.fit · its alternatives →
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In an effort to understand it, I put together a simple, pure python implementation of HNSW, an approximate nearest neighbor library. Learned a lot, and I think for anyone interested in vector search it's an exercise that's absolutely worth doing. The code is optimized (imo) for readability, and working (albeit, quite slowly) on putting together a tutorial that walks through the motivation and implementation of HNSW. There's also working code examples for using the library for text and image search with sentence transformers and CLIP!
2025 · github.com · its alternatives →
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- 21FP
Just a fun hack I did while bored over the weekend. My wife was busy shopping, it got me thinking that can VLMs solve the indoor location problem in a mall? Can I just show a VLM a map and an image and have it doa good enough job locating me? I hacked this P.O.C and it seems to work.
2025 · arjo129.github.io · its alternatives →
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2019 · github.com · its alternatives →
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Solving sizing w/ predictive analytics for apparel retailers
2014 · its alternatives →
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Curate looks using your favorite pieces, share and buy them!
2020 · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →