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Bangermap

Outlier research for YouTube on your own free API key.

Bangermap

Bangermap Reviews and Details

This page is designed to help you find out whether Bangermap is good and if it is the right choice for you.

Screenshots and images

  • Bangermap
    Image date //
    2026-08-10
  • Bangermap
    Image date //
    2026-08-10
  • Bangermap
    Image date //
    2026-08-10
  • Bangermap
    Image date //
    2026-08-10

Features & Specs

  1. Outlier scoring

    Every upload ranked by its multiple against that channel's own baseline, not against raw view counts

  2. Per-format baselines

    Shorts and long-form measured separately, so a 40-second video is never judged against 20-minute numbers

  3. Watchlist

    The channels you track are re-scanned when you open the app, with everything that overperformed since your last visit flagged

  4. Thumbnail wall

    Winners shown as a visual grid, so the title, thumbnail and format are readable at a glance

  5. Niche sweep

    xpands from one seed channel to the channels it features, then ranks outliers across all of them

  6. CSV Export

    Any scan exported for a spreadsheet or a report Bring your own API key | Runs on your own free YouTube Data API key, so scanning is unmetered and no credit counter sits in between

  7. Local storage

    Scans and history stay on your machine, no account and no server in the middle Free companions | The same measurement runs free in the browser, over MCP for AI assistants, and as an n8n node

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Questions & Answers

As answered by people managing Bangermap.
  1. What makes Bangermap unique?

    It measures every video against its own channel's baseline rather than against raw view counts, so a 60,000-view upload on a small channel reads as the discovery it is and a million views on a channel that always gets a million does not. It runs on your own free YouTube Data API key, which is why there is no credit meter, no signup and no per-channel licence, and why the same measurement can be free in the browser, over MCP and as an n8n node without anything being crippled.

  2. Why should a person choose Bangermap over its competitors?

    Cost and scope, for anyone running more than one channel. A standard TubeBuddy licence is tied to a single YouTube channel and their creator packages exclude multi-channel accounts, vidIQ routes anyone managing more than three channels to enterprise pricing, and the outlier tools meter searches by credit. Bangermap is $49 once for as many channels as you want to track, on quota you already have.

    Where the others win is breadth. A hosted index can surface outliers from channels you have never heard of, and vidIQ carries keyword SEO and AI tooling this does not. Bangermap watches the channels you choose, and expands a niche through the channel graph rather than a crawled database.

  3. How would you describe the primary audience of Bangermap?

    Operators who research other people's uploads for a living. Faceless-channel owners running several channels at once, agencies and strategists studying a client's niche, and creators who plan what to make next from what has already overperformed. The common thread is that they already do this work by hand, tab by tab, into a spreadsheet.

  4. What's the story behind Bangermap?

    It started from how the work actually gets done. Read enough threads about competitor research and the same routine appears, open a competitor's channel, eyeball recent uploads for the ones that look bigger than usual, and paste the good ones into a Google Sheet. The measurement behind that eyeballing is simple arithmetic against a channel's own median, and a computer does it in a second across every channel you follow. Meanwhile the tools that sell this charge per channel per month, though the YouTube data itself is free to anyone with an API key. So it is one payment, on your own key, for as many channels as you like.

  5. Which are the primary technologies used for building Bangermap?

    Tauri and Rust for the desktop shell, React and TypeScript for the interface, SQLite for the local cache, and the YouTube Data API v3 for the data. The website and the free browser tools are Next.js on Vercel, and the scoring engine is one TypeScript module shared by the app, the browser tools, the MCP server and the n8n node.

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Is Bangermap good? This is an informative page that will help you find out. Moreover, you can review and discuss Bangermap here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.