Compose · Create · Writing & Content
Seven-sentence investor elevator pitch
A canonical seven-sentence investor elevator pitch (introduction, problem and solution, competitors, market opportunity, business model, achievements, funding ask), one checked sentence per slot within your word cap, naming your startup and founder, with the market-size and funding-ask sentences cross-checked against the pitch's own 16-slot fact sheet.
You receive: A JSON object { sentences: { introduction, problem_solution, competitors, market_opportunity, business_model, achievements, request }, filled_fields: { name, position, startup, product_desc, market, problem, key_benefits, competitors, differentiators, market_size, region, why_now, revenue_streams, achievements, raise_amount, milestones } } that passes the structure, single-sentence, placeholder, word-bound, and consistency checks.
Part of Launch Product, Pitch Investors
Example
A sample of what this play produces. Your result is generated for your inputs.
Sentences
- Introduction
- I'm Dana Reyes, founder of Stud, the living system that runs a venture's work on AI agents.
- Problem solution
- Founders lose the hours AI should save to prompting and rework, so Stud runs ready-made plays with the venture's facts already in place.
- Competitors
- Unlike chat assistants and freelance marketplaces, every result lands structured in a workspace that gets smarter with each run.
- Market opportunity
- Agent adoption is compounding across a $12B knowledge-work market as ventures look for a system rather than another chat window.
- Business model
- Buyers prepay for credit packs from $20, credits never expire, and a play costs 250 to 1,000 credits spent only when its run is accepted.
- Achievements
- Three design partners, 2,100 accepted runs last month, and 118 percent net revenue retention.
- Request
- We are raising $2,500,000 to fund a self-serve launch and a third-party supply pilot.
Filled fields
- Name
- Dana Reyes
- Position
- Founder and CEO
- Startup
- Stud
- Product desc
- A living system that runs a venture's work on AI agents
- Market
- AI knowledge-work automation
- Problem
- The hours AI should save get lost to prompting, re-explaining, and rework
- Key benefits
- Ready-made plays, facts stated once, results that compound
- Competitors
- Chat assistants, freelance marketplaces
- Differentiators
- Every result lands structured and makes the system smarter
- Market size
- $12B
- Region
- North America, expanding globally
- Why now
- Adoption moved the bottleneck from intelligence to the system around it
- Revenue streams
- Prepaid credit packs, credits spent per accepted play run
- Achievements
- 3 design partners, 118 percent net revenue retention
- Raise amount
- $2,500,000
- Milestones
- a self-serve launch and a third-party supply pilot
Opens soon
STUD opens runs for everyone soon, on every play at once.
Scope of the check
What's verified: STUD verifies structure and consistency, not persuasion. STUD verifies that the submission parses as a JSON pitch object within a 20,000 character bound; that your settings sit inside the guard rails (startup and founder name provided, word cap 10 to 80); that the sentences object carries exactly the seven canonical slots; that each slot is a single sentence ending in . ! or ? with exactly one such mark (a period between digits, as in 8.5, does not count); that each sentence runs 5 words to your word cap (default 40); that no sentence or fact-sheet value contains [ ], TODO, or TBD; that the fact sheet (filled_fields) carries exactly its 16 slots, each a non-empty string; that the fact sheet's startup and name match the startup and founder name you provide (ignoring case and punctuation); that the introduction quotes that name and startup; that the market-opportunity sentence quotes the fact sheet's market_size and shows your chosen currency as a symbol or code (an unrecognized choice falls back to USD); that the funding-ask sentence quotes the fact sheet's raise_amount and milestones verbatim; and, while 'require parseable money' stays on (the default), that raise_amount and market_size are parseable money strings like $2M or 700B. STUD does NOT verify that anything the pitch claims is true or persuasive: fact-sheet slots beyond name and startup are checked for presence and cross-quoting only, not accuracy; the product summary, market, traction, and raise amount you enter at intake are context for the operator, not enforced checks (the money and quoting checks run on the raise the pitch itself declares); and the word and format checks are mechanical, not a judgment of writing quality.
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