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What you can do with Influencer Discovery

A Claude Code skill and Python pipeline that searches 15 channels for creators who bring their own audience, pulls their public contact info, and appends them to a Google Sheet.

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tigerless-labs/influencer-discovery on GitHub

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What do you want to do?

4 use cases

  • Build a creator shortlist for a topic in one run

    Search Tier 1 social channels for creators on a topic and append contactable ones to a Sheet.

    View prompt
    Using the repo tigerless-labs/influencer-discovery, run the pipeline with --tiers 1 --per-channel 10 and --subject <topic>, then report planned vs actual counts, the verdict distribution, and the contactable list. Verify that the report shows contactable creators and that no row was edited in the Sheet, only appended.

  • Filter out product builders when sourcing creators

    Use the topic gate and audience floors to keep only creators who bring their own readers.

    View prompt
    In the tigerless-labs/influencer-discovery repo, run the pipeline for --subject <topic> with --min-followers <n> and report how many candidates were rejected as product builders versus kept as contactable. Verify that every kept row in the report has an audience-based verdict.

  • Source blog writers from tier 2 platforms

    Run the pipeline on DEV.to, Hashnode, WordPress.com, and Micro.blog to find writers with readers.

    View prompt
    Using tigerless-labs/influencer-discovery, run the pipeline with --tiers 2 --per-channel 10 --subject <topic> and report the planned vs actual counts and the contactable list. Verify that the run only touched tier 2 channels.

  • Connect the pipeline to a Google Sheet safely

    Mint a short-lived token by impersonating a service account so no key file sits on disk.

    View prompt
    Configure tigerless-labs/influencer-discovery to append to a Google Sheet using a short-lived token from the iamcredentials API for <service account email>. Verify that the header row matches the pipeline's mapping and that a test run appends one row without editing existing cells.

How to use Influencer Discovery

  1. Check you have what it needs: Python 3.11 or newer; A clone of the repo or a copy of skills/influencer-discovery/ into your agent's skills folder; Credentials for any channel that needs an API key or logged-in session (see the datalayer credentials section).
  2. Open tigerless-labs/influencer-discovery on GitHub and read the README and license.
  3. Clone the repo with git clone https://github.com/tigerless-labs/influencer-discovery && cd influencer-discovery
  4. Confirm the CLI loads with python3 skills/influencer-discovery/scripts/run.py --help
  5. Put any required credentials in ~/.config/influencer-discovery/.env, never in the repo
  6. Run a first pass with python3 skills/influencer-discovery/scripts/run.py --tiers 1 --per-channel 10 and add --subject <topic> to set the topic gate (inferred, check the README)

These steps come from our top use case, Build a creator shortlist for a topic in one run, which also has a copy-paste agent prompt.

Influencer Discovery alternatives · Best AI repos for Sales and marketing

About this repo

Requirements

  • Python 3.11 or newer
  • A clone of the repo or a copy of skills/influencer-discovery/ into your agent's skills folder
  • Credentials for any channel that needs an API key or logged-in session (see the datalayer credentials section)
  • For Google Sheets output: a Google Cloud project with the sheets, iam, and iamcredentials APIs enabled, and a service account that can edit the target Sheet

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Questions about Influencer Discovery

What is Influencer Discovery?

A Claude Code skill and Python pipeline that searches 15 channels for creators who bring their own audience, pulls their public contact info, and appends them to a Google Sheet. It is an open-source project on GitHub: https://github.com/tigerless-labs/influencer-discovery.

Who is Influencer Discovery for?

Marketers, founders, and creator-partnership leads who need a vetted list of audience-owning creators with contact details, and who are comfortable running a Python script.

What can I do with Influencer Discovery?

4 use cases so far, for example: Build a creator shortlist for a topic in one run; Filter out product builders when sourcing creators; Source blog writers from tier 2 platforms. Each has steps and a copy-paste agent prompt.

What do I need to run Influencer Discovery?

Python 3.11 or newer; A clone of the repo or a copy of skills/influencer-discovery/ into your agent's skills folder; Credentials for any channel that needs an API key or logged-in session (see the datalayer credentials section); For Google Sheets output: a Google Cloud project with the sheets, iam, and iamcredentials APIs enabled, and a service account that can edit the target Sheet.

What are alternatives to Influencer Discovery?

Other hot AI repos in Sales and marketing: Cited, Paid Media Agent, Ecommerce AI Tools, Twenty, GTM Cofounder.

Is Influencer Discovery safe to run?

Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.