I built an AI that watches my email, calendar, GitHub, Slack and tells me what I missed

I kept missing things. Not because I wasn't paying attention, but because the signal was spread across too many tools. A Slack message here, a GitHub issue there, an email I skimmed and forgot about. By the time I connected the dots it was too late. So I built OWL. It watches your data sources, builds a knowledge graph locally, and runs LLM analysis on a schedule to find things you wouldn't have caught yourself. How it works You connect your sources. Gmail, Google Calendar, GitHub, Slack, Shopify, local files. OWL pulls events from all of them into a SQLite database and maps out entities and relationships. Then on a schedule it runs discovery passes through your LLM. Not summaries. It looks for cross-source correlations, anomalies, patterns, and connections. For example: one company showed up in a GitHub issue, 3 Shopify orders, and an urgent onboarding email all in the same day. Normally they generate maybe 1 event a week. No single app would have flagged that. OWL did. What it looks