Andru Revenue Intelligence

Tells you in seconds whether the company you're thinking about is worth your time — scores them against who actually buys from you and why, across 5 dimensions. No AI calls, instant results.

Look up who you're actually talking to before the call — what they care about at 7 AM, why they'll say no, and exactly how to open. Returns persona details including MBTI distribution, empathy map, and messaging angles.

Find out if you're wasting time on a deal that won't close. Runs the company through three layers of signal — ICP fit, anti-pattern matching, and churn patterns — and tells you whether to keep investing or walk away.

Get the exact words to use — for a specific buyer type, channel, and funnel stage. MBTI-adapted so the analytical CTO and the results-driven VP Sales get different versions. Returns value props, objection responses, voice variants, and outbound templates.

Gives you the battlecard for a specific competitor — where you win, where they'll attack, which questions to plant in the buyer's mind, and which landmines to avoid.

Run a full read on a deal in one call — fit score, persona match, risk flags, disqualification check, and a verdict: pursue, pause, or walk away. Combines multiple scoring engines for a comprehensive assessment.

Builds the account plan you'd normally spend a weekend on — stakeholder map, what each person needs to hear, MEDDICC gaps, and the unified story across the buying committee.

Returns a machine-readable snapshot of what your product actually does and who it's for — capabilities, verified outcomes, trust signals, pricing model, and integrations. Designed for buyer-side agent evaluation.

Scores how well you actually match what this buyer needs — across pain coverage, outcome clarity, capability fit, and 3 more dimensions. Returns 0-100 per dimension plus overall alignment score.

Returns everything Andru knows about your ideal customer — all 5 intelligence layers, the 7 critical buyer questions, and the patterns that predict churn. Optionally filter to specific layers.

Finds real companies that look like your best customers — searches the web for companies showing the same buying signals your winners showed. Takes 15-30 seconds. Works without prior pipeline data.

Writes your pre-call prep so you don't walk in cold — talk track, discovery questions tuned to this buyer, anticipated objections, and the one thing you need to get done in this meeting. Just say who you're meeting with — Andru checks your calendar automatically.

Shows whether your CRM has your current intelligence or is running on stale data. Checks sync status across HubSpot, Salesforce, and Pipedrive.

Pushes your latest intelligence into your CRM — detects which platforms are out of date and updates only what's stale. Use get_syndication_status first to see what needs updating.

Score up to 50 companies at once — gives each a tier and score so you can rank a list in under a second. Returns individual scores plus aggregate statistics.

Builds everything you need to make your first sales hire — job description, comp structure, interview questions that actually reveal sales ability, 90-day ramp plan, and weekly activity targets tied to your ARR goal.

Finds the 5 VCs whose investment thesis best matches your company — scores each on fit, explains why they'd be interested, and tells you how to approach them. Saves weeks of investor research.

Checks if you're burning out before you notice — tracks consecutive work days, late nights, and meeting density, then gives you a risk score and specific recovery actions. Because the founder who crashes can't close deals.

Practice your pitch against a realistic buyer — pick a CFO, CTO, COO, VP Sales, or VP Engineering and get their opening challenge. They'll push back the way real buyers do, so you can sharpen your story before the actual meeting.

Query this founder's accumulated stakeholder understanding — metrics, deal patterns, account history, decisions, and behavioral insights Andru has learned over time. Filter by memory type (episodic facts, semantic patterns, procedural habits) or business domain.

Save a revenue insight, decision, metric, or pattern into Andru's memory so it compounds over time. Use after any deal decision, ICP refinement, metric update, or strategic pivot. The system automatically versions previous values.

Get a full context dump of everything Andru knows about this founder — organized by memory type (What I Know, Patterns I've Noticed, How You Operate). Used to prime any revenue conversation with accumulated intelligence.

Get the version history of a specific memory — see how a metric, deal stage, or priority has evolved over time. Answers questions like "What was my MRR 3 months ago?" or "When did the Acme deal move to negotiation?"