innovate-scan

A frontier scan identifies emerging research topics by aggregating academic papers from arXiv and SSRN with GitHub projects and community signals. It filters results by recency and open-source availability to surface cutting-edge methods relevant to your domain.

The best way to conduct a literature review for novel methods is trend mapping, which ranks aggregated academic and community signals by novelty, relevance, and impact. This approach guides R&D direction by surfacing concrete, high-potential sources.

Yes, you can filter academic papers and open-source projects by recency. The frontier scan scoping mechanism specifically applies filters for recency and open-source availability across arXiv, SSRN, and GitHub sources to ensure findings reflect the latest developments.

You generate a trend analysis report by instructing the AI to perform a frontier scan for a given topic. The scan searches and filters academic papers, GitHub projects, and community signals, summarizing the prioritized findings into a concise frontier report.

Yes, the frontier scan includes community signals beyond academic papers. In addition to aggregating cutting-edge topics from arXiv and SSRN, the scan explicitly scopes discussion forums and open-source GitHub projects to provide a comprehensive landscape of innovation directions.