Market Intel
Simple summaries of news you care about. Personalized topic tracking with AI synthesis.
The Problem
Keeping up with industry news means checking multiple sources daily and mentally synthesizing what matters. RSS readers show you everything. Newsletter digests show you what someone else thinks matters. Neither filters for your specific interests or connects related stories across sources.
What I Built
Market Intel tracks topics you define and generates concise summaries from articles matching those topics. You set up topic filters (e.g., “enterprise AI adoption,” “developer tooling trends,” “startup fundraising”) and the system pulls relevant articles, groups related coverage, and produces brief summaries highlighting what changed and why it matters.
The interface uses Radix UI components for topic management, article browsing, and summary views. Each summary links back to source articles for verification. Topic filters support boolean logic so you can combine interests (“AI regulation” AND “enterprise”) or exclude noise (“crypto” NOT “bitcoin price”).
Relationship to Atomize
Market Intel was an early experiment in news aggregation that focused on business and market intelligence. The lessons from building it — multi-source ingestion, topic-based filtering, AI summarization pipelines — fed directly into Atomize News and later Atomize AI. The key difference: Market Intel was general-purpose news, Atomize narrowed to tech and AI research with deeper synthesis capabilities like entity extraction and knowledge graphs.