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Full-stack web developer, AI engineer & growth marketer. Building production-grade apps and intelligent solutions.

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    All Labs
    Marketing
    Attribution Memo
    ICP Scoring
    Explainable

    Revenue Insights

    Deterministic math produces the numbers, AI only narrates them: channel ROAS feeds a weekly what-worked memo with a single budget move, and closed-won trait frequencies become weighted lookalike scores where every prospect's ranking decomposes into its matches.

    Revenue Insights

    Mix Narrator
    ICP Lookalikes
    Explainable Scoring

    This week's channel performance

    ChannelSpendRevenueROASWoW
    Google Search$8.2k$41.0k5.0x+8%
    Meta prospecting$6.1k$9.8k1.6x-14%
    Meta retargeting$1.9k$9.1k4.8x+3%
    Email (owned)$0.0k$12.4k∞+11%
    TikTok$2.0k$3.1k1.6x+22%

    How it works

    1. Mix Narrator: real channel math feeds the LLM; it writes the CMO memo, not the numbers
    2. ICP: trait frequencies from closed-won accounts become weighted match scores
    3. Every prospect score decomposes into its trait matches — no black box
    4. Boards want the memo, not the dashboard

    From real client work

    Both tools follow the same rule as the Valuation Engine lab: deterministic math produces the numbers, AI only narrates them. The ICP weights here (industry 50%, size 30%, region 20%) are visible and arguable — which is exactly what makes sales teams trust the ranking.

    The same guardrail pattern, applied to valuations