Executive Summary — StartupDrafter

Problem

First-time founders preparing for pre-seed fundraising or accelerator applications routinely spend two to five days stitching together business plans in generic AI tools. Each session produces plausible prose, but assumptions diverge: the pitch deck cites one TAM, the lean canvas another, and the financial model uses pricing the narrative never mentioned. Investors spot the inconsistency in the first review. Consultants solve the problem at €3k–€15k per engagement and one to three weeks of calendar time — out of reach for most bootstrapped founders.

The cost of the status quo is not only time. Founders ship investor materials that fail diligence because they cannot defend the numbers on slide seven, or they delay fundraising entirely while “fixing the deck again.”

Customer

Primary ICP: Solo or two-person founding teams building B2B or B2C software, pre-revenue to ~€500k ARR, based in US/UK/EU, preparing a pre-seed raise (€150k–€750k) or accelerator application within the next 90 days.

Buyer: The technical or domain-founder CEO who owns the narrative and financials until a CFO exists.

Trigger events: Accelerator deadline, first angel meeting scheduled, grant application window, or repeated “send me your deck and model” requests from advisors.

Solution

StartupDrafter runs a short guided AI interview (problem, customer, pricing, GTM, milestones) and compiles answers into a Core Business Logic workspace — one linked graph of product, market, distribution, and financial assumptions. Founders refine sections with Ask, Discuss, and Apply AI assistants grounded in that plan. When ready, they generate sixteen investor-standard documents (executive summary, lean canvas, pitch deck, financial projection, and more) from the same source of truth. Exports ship as Markdown, Word, PDF, PowerPoint, or Excel depending on the deliverable.

Wedge vs alternatives: Consultant structure and cross-document consistency at founder speed and €29.99 early bird per project — pay once, no subscription.

Market Opportunity

TAM (directional): ~2.4M new technology-enabled businesses formed globally each year that may require formal planning materials for capital or programs.

SAM: ~420k English-speaking founders annually who actively search for business plan templates, AI plan generators, or “investor deck help” with commercial intent.

SOM (36 months, bootstrap): 4,800 paid projects at blended €32 ASP → ~€154k cumulative revenue, driven by founder communities and SEO intent clusters rather than paid acquisition.

Business Model

• Builder project: €29.99 early bird / €59.99 list — includes full workspace, 100 interaction tokens, all sixteen documents.
• Token top-up: €12.99 early bird for 100 additional refinement tokens when founders need more advisor usage.
• Expansion (later): Cofounder seats, accelerator partner bundles — not in MVP scope.

Unit economics today are inference-heavy: ~38% gross margin per early-bird project after variable costs; near break-even per sale until volume covers fixed engineering and content costs.

Traction & Milestones

Milestone	Status
Waitlist signups	86 during closed beta
Paid pilot projects	9 completed; 89% reached first export
Median time to first export	~47 minutes (pilot cohort)
Document quality	Founder blind reviews preferred StartupDrafter draft vs template in 7/9 cases

Next 90 days: Public waitlist launch, document sample gallery, measure checkout conversion with sample proof; target 60 paid projects and contribution margin > €8 per project after inference audit.

Ask

Raising €120k pre-seed to fund 18 months of runway toward operating break-even: SEO content cluster (40%), inference cost optimization and caching (35%), founder community GTM and accelerator partnerships (25%). Capital gets the company to ~180 paid projects/month at current cost profile without paid ads.