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    3. Trails

    Trails

    Trails is an AI agent observability platform that helps developers analyze, debug, and improve autonomous agent workflows by turning trace logs into actionable insights.

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    At a Glance

    1Tool Listed
    1Product
    17Tool Views
    4Capabilities
    Discussions
    San Francisco, CAHeadquarters
    2026Est.
    1Employee
    Focus Areas
    Content Generation
    Content Management Systems
    Knowledge Management
    Latest News
    Show HN: 83 browser-use trajectories, visualizedApr 10, 2026
    Trails launch on Product HuntApr 1, 2026
    Markets
    • AI Developers
    • Autonomous Agent Startups
    • Web Automation Teams

    AI Tools by Trails

    (1)
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    Trails tool icon

    Trails

    AI Trail Guide Generator

    Content GenerationCMSKnowledge Mgmt

    Discussions

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    Latest News

    04/10/2026

    Show HN: 83 browser-use trajectories, visualized

    news.ycombinator.com
    04/01/2026

    Trails launch on Product Hunt

    producthunt.com

    Products & Services

    1
    Trails
    April 2026

    An AI agent observability platform that ingests agent execution logs ('traces') and provides automated analysis to identify bugs and issues.

    Market Position

    Trails positions itself as a solution for 'thousands of agent runs you'll never look at,' automating the debugging process that is otherwise manual and time-consuming.

    Leadership

    Founders

    JW

    Justin Wei

    Co-founder & CTO of Phind.com (YC S22), previously interned at Citadel, Google, and Adobe. UT Austin Turing Scholar.

    Executive Team

    JW

    Justin Wei

    Founder

    Co-founder & CTO of Phind, YC Alum, Software Engineer background at Google and Citadel.

    Founding Story

    Founder Justin Wei previously co-founded Phind, where he experienced the difficulty of diagnosing search failures and complex AI agent traces with sparse user feedback. Trails was created to solve this by providing automated analysis of agent execution logs.

    Business Model

    Revenue Model

    Likely SaaS or usage-based model for agent trace analysis. Currently offers a demo and 'Get in Touch' for access.

    Pricing Tiers

    Contact for Demo
    Custom

    Available upon request via a Google Form link.

    Private

    Target Markets

    Industries & Segments
    • AI Developers
    • Autonomous Agent Startups
    • Web Automation Teams
    Use Cases
    • Debugging autonomous AI agents
    • Analyzing web automation bot performance
    • Surfacing bugs in large-scale agent trace data
    • Improving agent reliability through trace replay
    Notable Customers
    • Phind

    Quick Facts

    Headquarters
    San Francisco, CA
    Founded
    2026
    Entity Type
    Inc.
    Employees
    1
    Office Locations
    San Francisco

    History & Milestones

    April 2026

    Launched on Hacker News (Show HN) and Product Hunt, showcasing a visualization of 83 browser-use trajectories.

    Key Capabilities

    4
    Aggregate Analysis: Dashboard for statistics by intent, domain, and site
    Automatic Categorization: Automated tagging and grouping of agent issues
    Step-by-Step Replay: Visual replay of agent actions with screenshots and reasoning
    Trace Ingestion: Uploading and processing large volumes of agent execution logs

    Integrations & Partnerships

    Platform Integrations

    • Vercel
    • LLM Agent Frameworks

    Connect

    Website
    trails-red.vercel.app

    AI Topics

    3

    Trails focuses on these topics:

    Content Generation(1)
    Content Management Systems(1)
    Knowledge Management(1)
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