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LockIn: Browser Focus Tracker

·1 min
LLM Apps Neo4j FastAPI Chrome Extension Python
Table of Contents

Code on GitHub

What it is #

You start a session with a goal, such as “fix auth bug in login flow”. The extension records each page you open. An LLM labels each visit on-task, distraction or ambiguous relative to that goal. If you drift, an overlay nudges you and offers to take you back. When the session ends you get a focus report.

Focus report dashboard

How it works #

  • Extension (Manifest V3). Sends each page load, with its URL, title and page text, to the backend, and polls a nudge endpoint every 60 seconds.
  • Backend (FastAPI). Stores the visit and returns at once. Classification runs as a background task, so browsing never waits on the model.
  • Classification. A RocketRide pipeline sends GPT-4o the goal, URL, title and the first 2,000 characters of the page, and asks for a JSON label and reason.
  • Graph storage (Neo4j). Sessions, tasks, visits, sites and nudges are nodes. Visits link in order with NEXT edges, and sites link to tasks as ON_TASK_FOR or DISTRACTION_FROM.
  • Report and Q&A. The report shows a focus score, a color-coded timeline, a per-site breakdown and LLM insights. A second pipeline answers plain-language questions about past sessions by querying the graph.

Neo4j runs in Docker Compose, and a seed script loads a demo session.