
Neuton 2.0
Graph-based roadmap to learn anything 10x faster.
Neuton 2.0 launched on March 1, 2023 with 88 votes, #735 of 5,075 launches that month and more than 75% of that year's launches.
What it does
Neuton is a studying tool for students that solves the "How to learn" Problem. It provides an interactive graph-based roadmap that guides students to learn skills 10X faster. It also provides the best resource from the internet in one place, resources like books, courses, articles, exercises, and projects.
Does a similar job
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- FBFastGraphRAG – Better RAG using good old PageRank2024 · github.com · ▲457
Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that…



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Hey we are Computable. We spent years building trading infrastructure at Jump Trading and Coinbase. From that point of view, compute looks like energy markets before 2000: everything trades through private bilateral leases, there’s no visible price, and nothing can be resold. The same H100 rents at a 2x spread depending on who’s asking, and once you sign a 24-month lease, it can never change hands. So we built a market for GPU nodes, sold by the calendar week. Here are three things you can do on it that you can’t do anywhere else: - Buy exactly the weeks you need. Three nodes for the last…
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The New Calendly▲211Handle all of the work before, during, and after meetings
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Source: Product Hunt launch ↗
Launched alongside, March 2023
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I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs. In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised. So here are the episodes sorted by library code. It's fun to explore. Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition. At the same time I…
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