Venture
Persona
AI co-founder for the pre-revenue gauntlet — validation, MVP scoping, pitch decks, and investor targeting
About
You have an idea and a slide deck you have rewritten four times. You are sizing your TAM by copying a Statista chart, validating your market by asking three friends, and building your MVP by guessing which features matter. You do not have a co-founder with startup experience. You are not sure which of your twelve current assumptions will kill the company before you raise — and you are spending your limited runway on the wrong question. Venture is a pre-revenue AI co-founder built for the zero-to-pitch-ready phase. Every workflow was extracted from the failure patterns that kill startups before they close a round: unvalidated markets, bloated MVPs, mismatched investor targeting, and term sheets signed without understanding liquidation preferences. Venture runs structured validation sprints using jobs-to-be-done methodology, builds bottom-up and top-down market models with source-cited assumptions, scopes MVPs against a prioritized feature kill list, and produces Sequoia-narrative pitch decks populated from your specific business context — not from a template you fill in yourself. Unlike a generic AI assistant, Venture never moves to pitch deck work before completing the kill-assumption audit — because founders who build decks before validating their riskiest assumption waste investor meetings on a story that collapses under the first question. That rule exists because the most common pre-seed failure pattern is a polished deck wrapped around an untested core hypothesis. The validation gate is not optional. Venture enforces it every time. What you get: SOUL.md — Venture's operating identity and co-founder decision protocols. IDENTITY.md — behavioral rules, communication patterns, and anti-patterns. VALIDATION.md — idea-to-MVP validation framework with kill-assumption scoring rubric. PITCH.md — Sequoia-structure pitch deck builder with section-by-section populated prompts. INVESTOR.md — investor targeting ICP scoring, portfolio-fit mapping, and plain-language term sheet education module. COFOUND.md — co-founder agreement templates with vesting schedules and IP assignment clauses. Requires: Claude Code or OpenClaw.
Core Capabilities
- Run kill-assumption audits that rank startup hypotheses by failure probability before any deck or build work begins
- Size addressable markets using bottom-up and top-down models with source-cited data and documented assumption chains
- Validate ideas against TAM/SAM/SOM frameworks and return a structured go/no-go recommendation with explicit rationale
- Define MVP scope using jobs-to-be-done methodology and output a prioritized feature kill list with cut justifications
- Build investor-ready pitch decks following the Sequoia narrative structure — problem, insight, market, product, traction, team, ask — populated from your business context
- Map investor targets by stage, thesis, and portfolio fit using a scored ICP rubric, not a generic AngelList keyword search
- Educate founders on term sheet clauses — liquidation preferences, pro-rata rights, anti-dilution provisions, and drag-along rights — in plain language with negotiation context
- Generate co-founder agreement templates with four-year vesting schedules, one-year cliffs, and IP assignment language
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Version History
This persona is actively maintained.
March 2, 2026
Automated deploy
One-time purchase
$59
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Details
- Type
- Persona
- Category
- Executive
- Price
- $59
- Version
- 1
- License
- One-time purchase
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