Alternatives
Products that do what I indexed 8,643 BSides talks across 227 chapters and 6 continents does
Hi HN, I'm Roland, and for the past few weeks, I've been building AllBSides — a directory of every BSides conference talk uploaded to YouTube. As of today, 8,643 talks from 5,927 speakers across 227 chapters in 68 countries. Combined runtime is 280 days. The transcripts come to about 60 million words. The archive came together in stages: 1. Manually map every BSides chapter's YouTube channel 2. Pull every video and transcript from Supabase 3. Run each transcript through Haiku for tag extraction (tools, topics, difficulty, team, talk style, research method, and much more) 4. Run results…
- 14H
2021 · hacker-recommended-books.vercel.app
- 22G
Community, All the HN belong to you. This is an archive of hacker news that fits in your browser. When I made HN Made of Primes I realized I could probably do this offline sqlite/wasm thing with the whole GBs of archive. The whole dataset. So I tried it, and this is it. Have Hacker News on your device. Go to this repo (https://github.com/DOSAYGO-STUDIO/HackerBook): you can download it. Big Query -> ETL -> npx serve docs - that's it. 20 years of HN arguments and beauty, can be yours forever. So they'll never die. Ever. It's the unkillable static archive of HN and it's…
Dec 2025 · hackerbook.dosaygo.com
- 3SC
2024 · app.airtrain.ai
- 4HN
Mar 2026 · huggingface.co
- 5PA
Hi HN, wanted to share a project that I’ve been working on recently. PodText allows users to find anything said on a podcast. You can also listen and share clips to a specific part of the podcast audio, simply by highlighting the text of that part. Currently there are just over 25k podcast episodes and I’m adding a lot more in the coming weeks (yes my GPU bill is painful). In order to monetize it, I’m building a sponsorship database to help sponsors find podcasts and vice versa. This will be sold in the form of a $99/month “PodText Business” subscription. I bet I could charge a lot more…
2023 · podtext.ai
- 6IM
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
- 7RT
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
- 8TA
2013 · thebigdb.com
- 9
Summaries and timestamps for every talk on the AI Engineer YouTube channel.
3d ago · aietalks.com
- 10IM
I scraped every Show HN from the last 12 months (41,301 posts) plus the full comment tree of every launch with 10+ comments, ~100k comment timestamps, all from the Algolia HN API. The median launch gets 2 points and 0 comments. For launches that do get traction, half the comments they'll ever get arrive within 7.2 hours and 90% within 26, and the top decile decays on the same clock as everyone else. Vote timestamps aren't public, so comment timing is the attention proxy; caveats are in the post. Everything reproduces from the repo with one command…
Jul 2026 · jonno.nz
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- 12IM
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
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- 14SH
I built this tool to help me find interesting discussions on Hacker News. I love reading HN discussions almost more than the articles themselves. However, I found that full text search, although highly performant, is not always good at surfacing interesting discussions on a certain topic -- especially if you don't know what to search for exactly. I built this by scraping the most recent ~6 million posts (that's about 2 years of history) and putting the resulting posts and their vector embeddings into Postgres. Let me know what could be improved, and if you'd like a more detailed writeup of…
2024 · searchhacker.news
- 15AS
We built a search engine that shows you the most engaging stories/topics being shared across Twitter, Facebook, Linkedin, and Google+. We crawled over 15 million articles the past 3 months, retrieved the total number of Facebook likes, tweets, Google+’s etc and built a search index around it. Here's what our infrastructure looks like: Rails/Redis: We use the Sidekiq gem as a message queue. We have hundreds of workers that do the crawling, data mining, and number crunching. ElasticSearch: We built the search index using ElasticSearch, with the data imported from our Postgres…
2013 · buzzsumo.com
- 16IS
Everything that would be here is in the README. I hope this gets big, it has tons of potential.
2013 · github.com
- 175T
2018 · github.com
- 18IW
Hello HN! I’m Elias. I’ve been an educator in Engineering and Computer Science for some years, and I'm always looking for ways to make learning more engaging and hands-on. A few months ago, I started experimenting with the idea of a book that changes and evolves as you interact with it. It started with a chapter on sorting but that snowballed into a 22-chapter interactive book. My objective in writing this book, was to introduce a more interactive format for technical books that doesn't require internet access, that is lightweight, comprehensive, cross-platform, and can provide a better…
2025 · cartesian.app
- 192Y
We took the top 3 HN stories every day since October 2006 (~21K stories total), ran topic clustering on them, and visualized how topics rise and fall over time. You can zoom into any period - some patterns are surprisingly clear (AI overtaking startup culture as HN's top topic, crypto's rise and fall, remote work spiking with COVID). Happy to answer questions about the methodology.
Mar 2026 · app.lenzy.ai
- 20OD
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:…
Jan 2026 · github.com
- 21NH
This is the result of an 8 day final project for DBC Chicago. Our team scraped over 140,000 headlines of several news agencies stretching back several years. We then took those headlines and fed them through the AlchemyAPI sentiment analysis engine to assign each one a score. They were then plotted in a couple different ways using D3. This is far from perfect and even farther from scientific. It was done in 8 days by some passionate amateur developers. It was however a lot of fun and very interesting. You can read about it and the team in more detail on the repo page here:…
2013 · headlines-and-data.herokuapp.com
- 22IS
B = Billion Aiming to scrape 1 Trillion TikTok posts by this year.
2024 · app.seeksocial.io
- 23T1
HN has some of the best discussions on the internet, but I don’t love reading 100 comments to find 10 great insights. This site analyzes top HN threads with LLMs and summarizes the key ideas, disagreements, and resources — while preserving links to the original discussion. Useful for revisiting old threads as well. Updated daily, manual-assisted for quality, no spam, fan project only. Would love thoughts from the community. https://hn-discussions.top
Jan 2026
- 24RC
Hello HN! We're building a caching solution for LLMs (ChatGPT, Claude). By combining cutting-edge approaches, such as edge computing, prompt compression, vectorization, and others - it can reduce your AI bills by up to 10x and significantly lower response times. Key Features: - cost efficiency: our system stores frequent queries, reducing the number of upstream (paid) API calls - fast responses: with various nodes globally, we reduce latency by serving data from the nearest location - scalability: designed to handle increasing loads and data sizes without degrading performance. The cache…
2024 · edgematic.dev
Ranked by how close each launch is in meaning, then by votes. Refine with a description →