Dev tools · alternatives · 2026
24 alternatives to Open database of link metadata for large-scale analysis
I would like to share an open database focused on link-level metadata extraction and aggregation, which may be of interest to researchers. The project maintains a structured dataset of links enriched with metadata such as: - page title - description / summary - publication date (when available) - thumbnail / preview image - etc. The goal is to provide a reusable, inspectable set of link metadata that can be used for experiments in areas such as: - RSS and feed analysis - news analysis - link rot analysis? The database is publicly available here:…
This project provides a publicly accessible database of structured link metadata extracted from RSS feeds and web sources. It captures information such as page titles, descriptions, publication dates, and preview… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
A backlinks research tool for competitive intelligence
2019 · neilpatel.com · its alternatives →
- 2
Metabase grounds every answer in your semantic layer — your metrics and business logic — so you can inspect the query behind it.
2015 · metabase.com · its alternatives →
- 3
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com · its alternatives →
- 4
- 5
Metabase▲313Open source business intelligence - Installs in 5 minutes
2015 · metabase.com · its alternatives →
- 6
- 7
Hey HN, it’s been just over a year since we launched HelixDB (https://news.ycombinator.com/item?id=43975423), a project a friend and I started in college. It’s an OLTP graph database built on object-storage, with native vector search and full-text search (FTS). Why graph, vector and FTS? Graph databases provide a natural cognitive model for data, vectors allow for a semantic understanding of the entities and relationships in the graph, and FTS provides more specific filtering. Many AI-driven applications attempt to combine all of these functionalities by stitching together…
Jun 2026 · github.com · its alternatives →
- 8
Check how your page or blog's metadata renders on social.
2018 · its alternatives →
- 9IM
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 →
- 10
I built a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web. It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up. Would love feedback on the architecture, scaling approach, and any ways to make the clusters more accurate or useful. Live demo: https://yandori.io/news-flow/
Nov 2025 · yandori.io · its alternatives →
- 11
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 · its alternatives →
- 12
- 13
The easiest way to extract all HTML meta data tags in bulk
2023 · its alternatives →
- 14LF
2017 · link.fish · its alternatives →
- 15
Metabase Cloud▲237Fast, easy open source dashboards for everyone
2020 · metabase.com · its alternatives →
- 16
Hey HN, I’ve been an indie hacker for a while, but I haven’t had much success with my past projects. Recently, I came across Marc Lou’s advice about building free tools just for fun, so I decided to give it a shot. I built Metacheck, a simple tool that lets you preview how any link will appear on Twitter/X, LinkedIn, Whatsapp, Telegram, and other platforms. No API keys, no setup—just paste a link and see the preview. Why I built this I often ran into issues where social platforms displayed broken or unexpected link previews. Debugging Open Graph meta tags was annoying, so I made a tool…
2025 · metacheck.appstate.co · its alternatives →
- 17
HelixDB▲105An open-source OLTP graph-vector database built in Rust.
Feb 2026 · helix-db.com · its alternatives →
- 18WB
2014 · blog.twg.ca · its alternatives →
- 19KG
Hi HN! My latest side project is knowledge graph that maps the French culinary network using data extracted from restaurant reviews from LeFooding.com. The project uses LLMs to extract structured information from unstructured text. Some technical aspects you may be interested in: - Used structured generation to reliably parse unstructured text into a consistent schema - Tested multiple models (Mistral-7B-v0.3, Llama3.2-3B, gpt4o-mini) for information extraction - Created an interactive visualization using gephi-lite and Retina (WebGL) - Built (with Claude) a simple Flask web app to clean and…
2025 · theophilecantelob.re · its alternatives →
- 20
When I read papers, I have to jump between multiple tabs to find the dataset, code, videos, peer reviews, and so on. I tried to fix this with this project. It started as a project just for papers on arXiv, but after its initial success on Twitter (got like 1.9k views: the most I have gotten for a post), I have now expanded it to include other openly available papers from PubMed Central, bioRxiv, medRxiv, and eLife. These papers have been linked with their genes, proteins, diseases, drugs, clinical trials, 3D protein structures, code, and cited and similar papers. This project now has four…
Jul 2026 · tomesphere.com · its alternatives →
- 21
A graph database that supports more than 100+ billion data, high performance and scalability (Include OLTP Engine & REST-API & Backends) - hugegraph/hugegraph
2018 · github.com · its alternatives →
- 22
How to think about data
2015 · amazon.com · its alternatives →
- 23AL
Hi HN! I am Maria, solo founder of DataQA (https://dataqa.ai/), a tool to search and label documents for various NLP tasks (e.g. entity extraction, entity linking, etc). I have worked as a data scientist and ML engineer for the better part of a decade, and over that time have specialised mainly in applications involving natural language processing (NLP). One of the key questions I have always had at the back of my mind is whether my time was well spent. Whenever I spent more time on feature engineering or trying different models, I always wondered whether I would get better…
2021 · its alternatives →
- 24
Hey HN! We are building Epsilla (https://github.com/epsilla-cloud/vectordb), an open-source, self-hostable vector database for semantic similarity search that specializes in low query latency. When do we need a vector database? For example, GPT-3.5 has a 16k context window limit. If we want to let it answer a question about a 300 page book, we cannot put the whole book content into the context. We have to choose the sections of the book that are most relevant to the question. Vector database is specialized at ranking and picking the most relevant content from a large pool…
2023 · github.com · its alternatives →
Also compare
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 →