Launched this week
ATLANIZE
Sifting Research Papers Challenging Curiosity
3 followers
Sifting Research Papers Challenging Curiosity
3 followers
ATLANIZE reads the full text of open-access research papers, converts them into semantic embeddings, and stores them in a vector database. This allows researchers to find relevant papers at the sentence and context level—not just by title, abstract, keywords, or citations.
ATLANIZE started from a simple frustration. I was tired of reading general tech news every day, such as "NVIDIA launches a new GPU." As a programmer, I wanted to read something more challenging—something that could expand my knowledge and strengthen my critical thinking.
That is why I built ATLANIZE. I simply tell it what I'm interested in, and every two days the machine learning recommends research papers that match my interests. No searching, no complex AI prompts—just relevant papers ready to read.
Behind the scenes, ATLANIZE continuously mines open-access research papers from repositories such as arXiv, PubMed, and others. The system reads the full text of each paper and converts it into a vector database for semantic search. That guarantees you'll receive unique research papers.
This means my interests are not matched only against paper titles, abstracts, keywords, or citations. Instead, ATLANIZE performs context-aware matching across the entire paper, comparing meaning at the sentence and semantic level. The result is a much deeper and more accurate way to discover relevant research.
Loved features, the Workspaces.
Learning never stops. As programmers, we need to stay relevant by continuously expanding our knowledge. Workspaces help you curate research papers based on your research contexts.
Example:
Workspace: Become an AI Engineer
Research Contexts:
1. Building LLM-powered AI agents for scientific literature retrieval and reasoning.
2. Applying AI agents and Retrieval-Augmented Generation (RAG) to scientific literature.
Finding papers that truly match these research contexts is time-consuming with traditional search methods. ATLANIZE solves this by breaking each research context into semantic chunks and matching them against the full text of research papers using context-aware semantic search—not just titles, abstracts, keywords, or citations.