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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
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    3. Boidwatch
    Boidwatch icon

    Boidwatch

    UX Design

    Dispatch LLM-driven personas through your website to generate client-ready UX audit reports with behavioral traces, demographic profiles, and friction analysis.

    Visit Website

    At a Glance

    Pricing
    Free tier available

    Accounts start with 30 free credits — enough for six quick checks. No card needed.

    100 Credits: $20 one-time
    300 Credits: $50 one-time
    750 Credits: $100 one-time
    +1 more plan

    Engagement

    Available On

    Windows
    macOS
    Linux
    Web
    API

    Resources

    WebsiteDocsGitHubllms.txt

    Topics

    UX DesignContent AnalysisWeb Research

    Alternatives

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    Developer
    BoidwatchBoidwatch builds an autonomous web-evaluation engine that di…

    Listed Sep 2026

    About Boidwatch

    Boidwatch is an autonomous web-evaluation engine that sends a flock of LLM-driven personas through a target page, each driving a real Chromium browser session, and composes the results into a shareable UX audit report. It is built for studios, agencies, and CRO teams who need a fast, structured deliverable before or during a client engagement. Accounts start with free credits and no card is required.

    What It Is

    Boidwatch sits in the UX research and conversion-rate optimization category. The core job is to simulate how real demographic segments navigate a web page — clicking, scrolling, and getting stuck — and then surface friction points, funnel drop-offs, and segment-level breakdowns in a polished report. The report includes a public link that clients can open without an account, making it a handoff-ready deliverable rather than a raw data export.

    How the Persona Engine Works

    Each simulated visitor ("boid") is drawn from a pool of 36,000+ Census-derived demographic profiles covering age, income, household, occupation, and a modeled Big-Five personality score. The flock is sampled with IPF (iterative proportional fitting) weighting so it matches the country's demographic distribution. On top of the demographic layer, seventeen navigation archetypes are applied — ranging from "cautious novice" to "confident scanner" — to model different behavioral styles. At every step of a session, the engine records four things: intent, perception, affect (confidence, frustration, trust scores), and memory. This produces replayable, deterministic traces rather than probabilistic guesses.

    CLI and API Access

    Boidwatch is not only a web dashboard. The product ships a CLI (boidwatch) and a public HTTPS API, making it usable from a terminal, a CI pipeline, or an LLM agent harness such as Cursor, Claude Code, Bolt, or Lovable. The CLI supports JSON output everywhere, stable exit codes (0–8), and a machine-readable boidwatch commands manifest so automated agents can drive runs unattended. Installation is via Homebrew, a curl | sh installer, or a Windows .zip binary. Authentication is API-key based with no browser OAuth flow required.

    Key CLI capabilities include:

    • boidwatch run create — kick off an exploration run with a URL and design intent
    • --dry-run — preview credit cost before spending
    • --format summary — returns a ~1 KB digest suitable for LLM context
    • boidwatch billing top-up — opens Stripe Checkout directly from the terminal
    • boidwatch personas and boidwatch site-profile — manage personas and scenarios

    The Report as Deliverable

    The output is structured around a funnel view showing how each of the seventeen archetypes progressed through the page, with dashed cells marking where each archetype dropped off. The report includes key-moment screenshots, a segment breakdown, and a top-finding summary. Two example reports are publicly available on the Boidwatch site — one for a hobby-discovery landing page and one for an authenticated property-intelligence workspace — demonstrating the format clients receive.

    Update: v1.0.0 CLI Release

    The CLI repository on GitHub shows an initial public release tagged v1.0.0, published on 2026-05-26, with the last push on 2026-05-31. The source for the CLI lives in Boidwatch's private monorepo; the public GitHub repository hosts the compiled binaries, installer script, and release notes. The license is proprietary — the CLI binary is free to download and run against the hosted service but may not be redistributed or reverse-engineered. The core platform is a closed-source commercial SaaS.

    Boidwatch - 1

    Community Discussions

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    Share your experience with Boidwatch, ask questions, or help others learn from your insights.

    Pricing

    FREE

    Free Credits

    Accounts start with 30 free credits — enough for six quick checks. No card needed.

    • 30 credits on signup
    • 6 quick persona checks
    • No credit card required

    100 Credits

    100 persona sessions, one-time credit purchase.

    $20
    one time
    • 100 persona sessions

    300 Credits

    300 persona sessions, one-time credit purchase.

    $50
    one time
    • 300 persona sessions

    750 Credits

    750 persona sessions, one-time credit purchase.

    $100
    one time
    • 750 persona sessions

    Agency Founding

    For studios and CRO teams who audit client sites every week. Founding members keep this price.

    $249
    per month
    • 1,500 persona sessions per month
    • White-label reports
    • Unlimited client share links
    • Direct line to the founder
    View official pricing

    Capabilities

    Key Features

    • Census-derived demographic personas (36,000+ profiles)
    • IPF-weighted flock sampling to match country demographics
    • Seventeen navigation archetypes (cautious novice, confident scanner, etc.)
    • Real Chromium browser sessions per persona
    • Per-step behavioral traces: intent, perception, affect, memory
    • Replayable and deterministic session recordings
    • Funnel and friction analysis with archetype-level breakdowns
    • Key-moment screenshots in reports
    • Client-ready reports with public shareable links (no account needed)
    • CLI with JSON output and stable exit codes
    • HTTPS API for CI and agent harness integration
    • Design-intent gap analysis
    • Dry-run mode to preview credit cost
    • Machine-readable commands manifest for LLM agents
    • Stripe Checkout billing top-up from CLI

    Integrations

    Cursor
    Claude Code
    Bolt
    Lovable
    Stripe
    Homebrew
    CI pipelines
    API Available
    View Docs

    Ratings & Reviews

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    Developer

    Boidwatch Team

    Boidwatch builds an autonomous web-evaluation engine that dispatches LLM-driven personas through web pages to produce client-ready UX audit reports. The product targets studios, agencies, and CRO teams who need fast, structured deliverables without weeks of manual research. Each persona is grounded in Census-derived demographic data and drives a real Chromium session, producing behavioral traces rather than simulated guesses. Boidwatch ships both a web dashboard and a CLI/API for integration into CI pipelines and LLM agent harnesses.

    Read more about Boidwatch Team
    WebsiteGitHub
    1 tool in directory

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