3.4 / 5

Research Trail

Builds a knowledge graph from your browsing session

Serious

Privacy

The Problem

Research sessions produce fragmented knowledge across tabs that's hard to synthesize

Current Solutions (Not Great)

Manual notes, bookmarks (flat list), history (chronological only), Notion/Roam (manual entry)

Who Needs This

Researchers, students, journalists, analysts, anyone doing deep-dive research

When you're researching a topic, you open dozens of tabs, read bits from each, and try to hold it all together in your head. Research Trail watches your browsing and automatically builds a visual knowledge graph: what topics you're exploring, how pages connect, what key facts you've encountered. At the end of a research session, you have a structured map of everything you learned, not just a list of URLs in your history.

Honest Take

This is ambitious and genuinely novel—automatic knowledge graph generation from browsing is technically challenging but super cool. The hard parts are accurately extracting topics, inferring relationships without hallucination, and making the graph visualization actually useful instead of a messy hairball. Niche audience (researchers, deep thinkers) but they'd love it.

Monetization Ideas

Ways to turn this into revenue

Freemium

Free basic, $5-15/mo for pro

Subscription

$5-29/month or $49-199/year

One-Time Purchase

$9-49 per license

Features

Key features that make this app valuable

Automatic topic extraction from visited pages
Visual knowledge graph of connected concepts
Key facts and quotes extraction
Session grouping (detect research sessions)
Relationship inference between pages
Searchable across all research sessions
Export as outline or mind map
Gap detection (what haven't you explored?)

Build Prompt

Use this prompt with an AI assistant to start building

Build a Chrome extension called 'Research Trail' using WebInfer. Manifest V3 with history, tabs, activeTab, storage, sidePanel permissions. Content script extracts page content on tab update. Use generateObject to return { url: string, title: string, mainTopics: string[], entities: [{ name: string, type: 'person'|'organization'|'concept'|'event' }], keyFacts: string[], relatedTo: string[] }. Store in chrome.storage.local as graph nodes. Detect research sessions (cluster of related tabs in time window). Side panel shows: current session graph visualization (use vis.js or d3-force), nodes are topics/entities, edges are co-occurrence or explicit relationships. Click node to see source pages and facts. Session history list. 'Synthesize' button uses AI to generate summary connecting all sources. Export as markdown outline, OPML, or image. 'What's missing?' suggests unexplored angles based on partial coverage.

Score Breakdown

Pain