Use case · Build on it

Community signals, as a feed your systems can use.

Skip the scraping, the queues and the classification prompts. BuzzGlean does the monitoring and AI filtering, then hands you clean matches by webhook or REST API.

Watching forExample

Integration: new leads to CRM

recommendCRM

Small teams asking for a CRM recommendation.

  • r/salesMatch

    Need a CRM for a 4-person team, nothing enterprise.

    Why: Asking for a CRM recommendation

Building listening in-house is a long side project.

Crawling communities reliably, de-duplicating posts, running classification at scale and handling delivery retries is months of work that isn't your product.

  • Crawling

    Sources change and break. We maintain it.

  • Classification

    Prompting and evaluating relevance is built in.

  • Delivery

    Webhooks, retries and test sends are handled.

What you can build with

  • Webhooks

    Receive each match as JSON the moment it's classified.

  • REST API

    List and read matches, manage channels and fetch suggested replies with an API key.

  • Test sends

    Send a sample payload to any channel before going live.

Frequently asked questions

Where are the API docs?
In the documentation under API reference, with an OpenAPI spec you can import into your tools.
How do I get an API key?
Create one from your account in the app and pick the scopes it needs. Rate limits scale with your plan; contact sales if you need more.

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