Content: Capture
Start from what buyers ask and what the founder knows, not from a keyword tool. Insights are captured, scored and ranked into a queue.
What happens at this stage
Expertise and signals become a ranked, source-linked queue. This is the judgment stage: what is worth making at all.
Who does what
Content idea miner
Mines real work (repos, projects, what shipped) for ideas worth publishing.
It proposes. You decide.
Openideate-content-ideas on GitHub →
Insight capture
Pulls reusable insights out of founder transcripts and documents.
It drafts. You edit and approve.
Openinsight-capture-agent on GitHub →
Insight scorer
Ranks this week's insights so the best one becomes content. Ranking is not deciding.
It proposes. You decide.
Openinsight-scorer on GitHub →
Topic deep dive
Builds the research package for one topic before anything is written.
It proposes. You decide.
Opentopic-deep-dive on GitHub →
Original research design
Designs a survey or data study built to be cited by AI answers.
It proposes. You decide.
Openoriginal-research-designer on GitHub →
Pick what gets made this week
The SuperMarketer keeps this step. Judgment, taste and accountability stay human.
What comes out
A ranked queue of ideas, each tied to a buyer question and a source
Moves toward pipeline: Buyer questions answered. Every piece maps to a question a buyer actually asked.
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Get the full system map
The whole grid as one high-resolution image: every channel, stage and agent on a single page. You also get the dispatch: one thing you can copy from real SuperMarketers work, plus what changed in AI marketing and what to do about it.