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Prototype · Content & AI

Influencer Claw

My behind-the-scenes content research assistant. Influencer Claw scouts public sources for Bay Area places, events, openings, and trends, then helps turn promising discoveries into short creative briefs. It supports the research; I still decide what to make and share.

Built by Matt Schueren.

San Francisco skyline from Dolores Park at sunset
From a local discovery to an idea

A little help finding the next story.

  1. 01

    Discover

    Independent source adapters gather local openings, events, news, and trend signals from enabled public feeds.

  2. 02

    Filter & score

    Remove repeats, rank candidates, and use optional AI scoring with a heuristic fallback.

  3. 03

    Brief & deliver

    Turn stronger candidates into content ideas and route timely alerts or summaries to Discord.

  4. 04

    Review

    Keep a record of feedback and imported performance metrics to inform future content decisions.

The scout handles the research; I decide what’s worth filming. Feedback and content history help organize future ideas. Social analytics currently come from imported TikTok files, rather than a live account connection.

Built with

Python · OpenClaw · Public RSS feeds · SQLite · AI-assisted scoring · Discord