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VC one-pager investor teaser
The founder gets a complete, correctly-sectioned one-pager teaser with the company name, raise, forecasts, and team machine-checked as filled-in values, ready to drop into a cold or warm investor email.
You receive: A JSON object { companyName, taglinePitch, sections{ problem, solution, competitiveAdvantage, market{sizeStatement, competitors[]}, businessModel{revenueStreams[]}, team[{name, role}], financialSummary{revenueByYear[], ebitdaByYear[], burnRateMonthly, raisedToDate, valuationPreMoney}, ask{amount, useOfFunds[]} } }, machine-checked for the eight sections, word caps, competitor and revenue-stream counts, numeric financials, placeholder-free text, and an ask equal to your raise.
Part of Pitch Investors
Example
A sample of what this play produces. Your result is generated for your inputs.
Company Name
STUD.com
Tagline Pitch
A living system for your venture: it knows your business, does the work, and learns from every result.
Sections
- Problem
- AI can produce real knowledge work, but getting that work out of it is still manual craft: you have to know what to ask, phrase it well, re-explain your business in every session, and carry the output somewhere by hand before it goes stale. Every session starts from zero, so nothing compounds.
- Solution
- A catalog of 265 ready-made plays replaces the blank prompt: pick a play, the short intake fills itself from your workspace facts, and an AI agent runs it. Results land as structured deliverables that stay current and feed later runs, so the system's knowledge of the venture compounds. An acceptance check screens every deliverable before it counts.
- Competitive Advantage
- General AI chat starts every session from zero, freelance marketplaces sell one-off labor, and static documents go stale. STUD compounds instead: a fact stated once flows into every run, every result leaves the workspace knowing more, and 265 plays across 14 playbooks turn that knowledge into finished work.
- Market
- Size Statement
- The AI agents market is about $8B in 2025, growing 42 to 50 percent CAGR (cited external estimates). Beachhead: solo and early-stage founders and small product teams who need marketing, finance, product, and engineering work done while staying small.
- Competitors
- General-purpose AI chat assistants (the blank prompt box)
- Freelance marketplaces
- Static documentation tools
- Business Model
- Revenue Streams
- Monthly subscriptions: Standard $20/mo (500 credits), Pro $60/mo (1,500 credits), Ultra $180/mo (5,000 credits)
- One-time credit packs at the $0.04 per credit peg
- Marketplace take rate on third-party supply (later phase)
- Note
- Buyers spend credits to commission plays; a play costs 10 to 40 credits ($0.40 to $1.60). Gross margin modeled at 87% (estimated, 85 to 90% at launch prices).
- Team
Name Role Dan Schmitz Founder - Financial Summary
- Revenue By Year
- 60000
- 250000
- 750000
- 1800000
- 3600000
- Ebitda By Year
- -180000
- -120000
- 0
- 350000
- 1100000
- Burn Rate Monthly
- 15000
- Raised To Date
- 0
- Valuation Pre Money
- 8000000
- Note
- Illustrative pre-revenue model, not committed figures: year 2 revenue equals the $250,000 revenue objective, ~$300 average annual revenue per account, ~$40 content-led CAC, 6% monthly logo churn, 108% NRR, 87% estimated gross margin. Raised to date is zero (pre-seed, entity formation pending); the pre-money valuation is an illustrative target.
- Ask
- Amount
- 1000000
- Use Of Funds
- Catalog and platform engineering to grow the 265-play catalog and the acceptance-check judge
- Content-led acquisition: SEO, developer documentation, launch communities
- Fulfillment capacity beyond the single founder-operator (about 30 plays/week today)
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
What's verified: STUD verifies structure, counts, and matching, not persuasion: the deliverable parses as a single JSON object within a 100,000 character size bound; your settings are in range (forecast years 1 to 10, minimum revenue streams 1 to 10, minimum competitors 1 to 20, tagline cap 5 to 40 words, section cap 20 to 300 words, raise amount a positive number; an unrecognized EBITDA yes/no value falls back to yes); all eight sections (problem, solution, competitive advantage, market, business model, team, financial summary, ask) are present and non-empty; the companyName matches the company name you give (ignoring case and punctuation); the tagline runs 3 words to your cap; problem, solution, and competitive advantage are each written out at 5 words to your section cap; a market size statement is present (presence only); the competitor list has at least your minimum of distinct named entries and never 'none', 'no competition', or 'n/a'; the revenue-stream list has at least your minimum of distinct non-empty entries; the revenue forecast (and the EBITDA forecast unless you switch it off) runs exactly your forecast-year count; forecasts are numeric with revenue never negative, monthly burn and raised-to-date are numbers of at least zero, and pre-money valuation is a positive number; the ask amount is a JSON number exactly equal to your raise amount; the use-of-funds list has at least one distinct non-empty line; every team member carries a non-empty name and role; and no pitch text contains placeholder words (TBD, TODO, xxx) or markers (lorem ipsum, [insert, <placeholder). STUD does NOT judge whether the pitch is compelling, whether the market sizing, financials, or valuation are credible or accurate, whether the named competitors are the right ones, whether the page renders as one printed page (the word caps are the proxy), or whether a VC will respond. What the company does, your financial facts, team facts, market notes, and known competitors are context for the operator, not machine-checked criteria.
Get early access to STUD the day it goes live.