Alternatives
Products that do what Finding similarities in New Yorker covers does
Originally learned about image hashing and similarity comparison for product image searches. Decided to apply it to magazine covers. Thrasher covers: https://shoplurker.com/labs/thrasher-covers/
- 1IM
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
- 2
- 3IM
Hey HN! I love finding new books to read on here. I wanted to gather the most mentioned books and recreate the serendipity of physical browsing. I scraped 20k comments from HN threads related to reading, extracted the references and opinions using GPT-4o mini, and visualised their embeddings as a map. - OpenAI's embeddings were processed using UMAP and HDBSCAN. A direct 2D projection from the text embeddings didn't yield visually interesting results. Instead, HDBSCAN is first applied on a high-dimensional projection. Those clusters tend to correspond to different genres. The genre…
2024 · hnbooks.pieterma.es
- 4
- 5IM
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
- 6
- 7
- 8IS
2020 · logosear.ch
- 9
- 10
- 11SS
Oct 2025 · nga.demo.mixedbread.com
- 12FS
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…
2025 · vibewall.shop
- 13FC
Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…
2023 · perplexity.vercel.app
- 14
- 15
- 16IB
2021 · github.com
- 17ST
2013 · markupwand.github.com
- 18
- 19BC
2018 · ai.sensilab.monash.edu
- 20IC
2025 · muffinman.io
- 21WV
Hi, I wanted to share with You our project (https://comparere.io). We have built a website for comparing graphics and designs. The concept is simple, you have to just drag'n drop two designs you are having trouble to pick from. The idea has emarged when we stumbled across many different facebook groups for graphic designers, where they used to sometimes ask the community for help to decide which design is better. I had similar problem too. Hopefully this tool will help graphic/ux designers build/create projects that will appeal to more audiences. We are looking forward to…
2019
- 22
- 23BA
2020 · github.com
- 24QP
Hey HN! We've just launched Quilt, a robust RAG (Retrieval-Augmented Generation) UI that revolutionizes how you interact with your documents. Key features: - Multi-user setup with private/public document collections - Advanced hybrid RAG pipeline combining full-text & vector search - Smart citations with in-browser PDF preview and highlights - Fully customizable settings and prompts through the UI Making an account is free, no need to even use a strong password: this is only to ensure your documents are separate from the rest. We're keen to hear your thoughts and feedback. What features…
2024 · quilt.fly.dev
Ranked by how close each launch is in meaning, then by votes. Refine with a description →