Graphthem
Deep-research engine reads 10,000 articles, gives one answer
Graphthem launched on May 9, 2025 with 31 votes, #695 of 7,905 launches that month and more than 90% of that year's launches.
What it does
Graphthem is a deep research search engine that reads up to 10,000 articles and gives you an in-depth researched report with highly resourceful and often overlooked links. We read 10x more than any other deep research products out there.
Does a similar job
all alternatives →- ASA search engine that values depth over popularity2024 · graphthem.com · ▲13
Hey HN, I'm excited to introduce Graphthem, a search engine designed to explore the deeper layers of knowledge rather than just surface-level popularity. While many AI search engines simply summarize top N results, we've found this approach often misses the many good stuff that is buried deeper in the links and references. Graphthem takes a different approach. we don't just look at the first few pages we find. We also dig into what those pages link to, so you get the whole story. This allows us to deliver answers that capture not just what's immediately visible, but also the foundational…
Now I Get It – Translate scientific papers into interactive webpagesFeb 2026 · nowigetit.us · ▲305Understanding scientific articles can be tough, even in your own field. Trying to comprehend articles from others? Good luck. Enter, Now I Get It! I made this app for curious people. Simply upload an article and after a few minutes you'll have an interactive web page showcasing the highlights. Generated pages are stored in the cloud and can be viewed from a gallery. Now I Get It! uses the best LLMs out there, which means the app will improve as AI improves. Free for now - it's capped at 20 articles per day so I don't burn cash. A few things I (and maybe you will) find interesting: * This is…
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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…
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