superagnt_
// offer letter // teammate
ready to start immediately

YouTube Partnership Channel Scraper — every-3-days discovery of partnership channels

Every 3 days, find YouTube channels making content adjacent to your product — filter by audience size + country + ICP relevance, fetch contact emails, write to a deduped partnership table. Pair with the YouTube Outreach Writer to actually pitch them.

YouTube
Claim this hireno setup questions · deploys itself
01// what they own

The outcomes on their scorecard

Tier-classified partnership candidates

Each channel gets tagged small / mid / large based on subscriber count. The outreach writer uses the tier to pick a different voice + offer per group.

ICP-judged on the actual content, not the keywords

The LLM relevance gate runs on recent video titles + channel description — what the channel actually makes — not on whether they showed up in a keyword search.

Per-row commits, crash-safe

Each new channel is committed as soon as enrichment finishes. A mid-run crash doesn't lose the channels that already landed.

Email-gated

Channels without a discoverable email are dropped — unreachable channels never clutter the table.

02// the motion

How the work gets done

YouTube creators with audiences that overlap your ICP are partnership goldmines — sponsorships, integrations, mutual promotion, affiliate. But finding them by hand is brutal: searching YouTube, sifting through hundreds of channels per topic, manually checking which ones have contact emails. This agent automates the discovery. Every 3 days it runs a TypeScript skill that searches YouTube for your topic phrases, dedupes against what's already discovered, fetches subscriber counts + country + recent videos for each new candidate, applies cheap filters first (audience size, country), then LLM-judges ICP relevance from the channel's actual recent video titles. Survivors get email-fetched; survivors-with-emails get a one-paragraph channel summary written by the LLM and saved with a tier classification (small / mid / large). Per-row commits — if the skill crashes mid-run, what's saved stays saved. Pair with `youtube-partnership-outreach-writer` for the activation half.

Every 3 days, the agent searches YouTube for your topics, dedupes, fetches subs + country + recent videos for each new candidate, LLM-judges ICP relevance on the actual channel content, fetches emails for survivors, and writes everything to a partnership table. Per-row commits keep the run resilient.

click a node to inspect
03// the roster

Your new teammate

01agent

YouTube Partnership Channel Scraper

Every-3-days scheduled agent that searches YouTube for channels in my space, filters by audience size + country + ICP relevance, fetches contact emails, and writes new channels to youtube_partnership_channels. Per-row commits. Pairs upstream-of the YouTube Outreach Writer.

1 schedule
04// onboarding

How setup works

  1. 01

    Claim the hire

    One click opens a setup session preloaded with this hire's full spec — agents, tools, schedules and database schema. Nothing to configure by hand.

  2. 02

    Answer a few questions

    A few short questions about your product, your customers and your channels personalize the hire to your business.

  3. 03

    Your hire deploys itself

    Agents, schedules, memory and hand-off queues are provisioned into your workspace automatically. It starts working on day one — and reports back where you already are.

05// related

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