# Real-Time AI Trend Mapping Platform An interactive visualization tool tracking AI industry momentum through news and developer community signals. - **Source:** [Hacker News: Show HN](https://news.ycombinator.com) - **Published:** 2026-10-21 - **Topic:** [Data & AI](https://brifing.si/c/data-ai) - **Original article:** - **On Brifing:** https://brifing.si/s/8eb181cc-c48e-41e0-9a61-8ce5a43be974 ## Interactive AI Ecosystem Visualization The platform provides a dynamic map visualizing AI companies, models, hardware, and key ideas. Entities are positioned based on their prominence, with size and proximity to the center indicating higher levels of community attention. This tool allows users to navigate complex industry relationships through a visual interface powered by D3 rendering. ## Data Aggregation and Weighting The system processes articles from the last 30 days, grouping them by source for easy navigation. Each story contributes heat to mentioned entities, weighted by popularity metrics like Hacker News points, Hugging Face upvotes, and GitHub stars. A small red counter tracks new articles discovered within the most recent hour. ## Dynamic Heat Decay Mechanism Heat values follow a 24-hour half-life, ensuring the map reflects the most recent activity within a 7-day window. This decay model prevents stale data from dominating the visualization. By balancing historical context with immediate spikes, the map maintains a relevant overview of the rapidly shifting artificial intelligence landscape for active users. ## Short-Term Trend Analysis The 'Today' view utilizes a 24-hour window with a 6-hour half-life, comparing current data against a 6-hour baseline. This granular approach highlights rapid shifts in interest. Users can identify emerging topics through specific visual markers, such as pulsing orange rings that signify breaking news or significant surges in recent activity. ## Identifying Breaking AI Developments Breaking entities are defined by a specific threshold: at least two stories and 2.5 times more attention in the last six hours compared to the previous period. These items are marked with orange names and pulsing rings. This mechanism helps professionals quickly isolate high-impact news from the broader stream of information. ## Visualizing Entity Relationships Links between entities represent co-occurrence within the same news stories, mapping the interconnected nature of the AI industry. Topics are represented as diamonds, with the hottest topic filled in orange. Closest connections are highlighted with outlines, allowing users to trace how specific models or companies influence broader technological discussions. ## Trend Velocity Indicators The interface includes specific iconography to denote momentum. An upward arrow indicates heat is at least 1.5 times higher than 24 hours prior, while a downward arrow shows cooling interest. New entities spotted during the current week are marked with an orange ring, assisting users in tracking the emergence of new technologies. ## Independent Development Context Built independently and inspired by the AI MAP project by carlwow, this tool operates without affiliation to any tracked companies. It utilizes the D3 library under an ISC license for graph rendering. The platform serves as a neutral observer, aggregating public developer and media signals to provide a clear industry pulse. ## Sources covering this story - https://ai-news.jagular.io — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._