40 AI Prompts for Startup Founders: Pitching, Fundraising and MVP Planning

Founders live in documents: pitch decks at midnight, investor emails before coffee, product specs between meetings. AI will not build your startup for you — but it is a superb sparring partner for the thinking that surrounds the building. These 40 AI prompts for startup founders are ready to copy into ChatGPT, Claude, Gemini or whichever assistant you prefer. They cover the founder journey end to end: pitching, fundraising, MVP planning, market validation, hiring and financials. Each one is written to pull a useful, specific answer out of the AI — just replace the bracketed bits with your details.

How to get good answers from these prompts

Three habits multiply the value of every prompt below. First, give context: paste your one-liner, your metrics, your draft — the AI can only be as specific as your input. Second, iterate: treat the first answer as a draft and ask follow-ups (“make it bolder”, “shorter”, “more sceptical”). Third, verify: AI confidently invents investor names, market statistics and legal details. Use its output as a starting point, then check facts before they reach a deck or a data room.

Pitch deck & elevator pitch

Act as a pitch coach. Help me write a 30-second elevator pitch for [startup name], a [one-line description]. Make it clear, jargon-free and memorable, ending with a hook that invites questions.
Review my pitch deck outline: [paste outline]. Flag the weak slides, suggest a stronger narrative arc, and tell me which three slides investors will scrutinise most.
Turn this product description into a single compelling problem slide: [paste description]. One striking, verifiable-style claim — no invented statistics.
Write the “solution” slide copy for [startup], explaining how it works in three simple steps a non-technical investor can grasp in 20 seconds.
Draft a “why now” slide for [startup]: 3–4 bullet points on market timing, regulation or technology shifts that make this the right moment.
Help me write a traction slide from these raw numbers: [paste metrics]. Choose the most investor-compelling framing without exaggerating.
Write a 2-minute demo-day script for [startup] covering problem, solution, traction and ask. Conversational tone, no buzzword soup.

Fundraising & investor research

List 20 European seed-stage investors who back [sector] startups, with what each typically looks for. Flag where you are uncertain so I can verify.
Draft a cold outreach email to a VC partner (under 150 words): who we are, our traction, why this fund fits, and a clear ask for a 20-minute call.
Write a follow-up email for an investor who went quiet after our first call, referencing [specific detail from the call]. Warm, brief, no desperation.
Prepare me for partner meetings: generate the 15 toughest questions investors ask [sector] founders, with bullet-point guidance on answering each.
Explain standard pre-seed term sheet clauses (liquidation preference, pro-rata rights, vesting) in plain English: what is founder-friendly and what is a red flag.
Draft the “use of funds” narrative for raising [amount]: how 18 months of runway splits across hires, product and go-to-market.
Write a monthly investor update template for [startup] — highlights, metrics, asks, hiring — then fill it in with [this month’s data].

MVP scoping & product planning

Act as a product manager. Given [startup idea], define the smallest MVP that tests the core value hypothesis in under 6 weeks. Split features into must-have vs nice-to-have.
Turn this feature list into a prioritised MVP roadmap using RICE scoring: [paste features]. Show your scoring assumptions so I can challenge them.
Write user stories with acceptance criteria for [feature], covering the happy path plus two edge cases.
Draft the onboarding flow for [product] in 5 steps or fewer, optimised for getting a first-time user to the “aha moment” fast.
Suggest 5 no-code or low-code ways to fake [feature] for an MVP, with the pros, cons and cost of each.
Create a build-vs-buy analysis for [capability]: when should a two-person team build it, and when should we use an API or off-the-shelf tool?
Write a one-page product brief for [feature] that an engineer could estimate from: goal, users, requirements, out of scope, success metric.

Market validation

Design a 10-question customer discovery interview script for [target customer] that uncovers real pains without leading the witness.
Draft landing-page copy to test demand for [startup idea]: headline, subheadline, 3 benefit bullets and the call-to-action.
Create a smoke-test plan for [idea]: what to build, where to drive traffic, and what conversion rate would justify building further.
Analyse these interview notes and extract the top 5 pain points, with a representative quote for each: [paste notes].
Estimate the TAM, SAM and SOM for [product] in [European country or region], showing your assumptions step by step.
List 5 competitors to [startup]: each one’s positioning, pricing, and one weakness we could exploit.
Write 10 survey questions that reveal willingness to pay for [product] without ever asking “what would you pay?” directly.

Hiring & cofounder operations

Draft a job post for our first [role] at [startup]: mission-driven, honest about the stage and the chaos, with clear must-haves and nice-to-haves.
Create a structured interview scorecard for hiring a [role]: 6 competencies, with what “great” looks like for each.
Write a cofounder expectations document covering roles, time commitment, vesting, decision-making and what happens if someone leaves.
Draft vesting terms for a two-founder split — 4-year vesting, 1-year cliff — in plain language we can take to a lawyer.
Suggest a 30-60-90 day plan for our first [hire role], with concrete outcomes for each phase.
Write a kind but clear rejection email for a finalist candidate we are not hiring, keeping the door open for the future.

Financials & metrics

Build a simple 18-month financial model outline for [startup]: revenue assumptions, headcount plan, burn and runway. List every assumption explicitly.
Explain which 5 metrics matter most for a [SaaS/marketplace] startup at pre-seed, and what “good” looks like for each in Europe.
Draft the financial slide for our deck: from [current MRR] to [target] in 18 months, with the growth levers clearly labelled.
Calculate our runway from these numbers and suggest three levers to extend it by 6 months: [paste burn, cash, revenue].
Write pricing-page copy for [product] with 3 tiers, anchoring the middle tier, in plain jargon-free language.
Create a 30-minute weekly metrics review agenda for a two-founder team: which numbers to look at and which decisions they should drive.

Putting the prompts to work

Start with the section that matches your current fire — most founders should begin with market validation before polishing a deck. Work through three or four prompts per session rather than all forty at once; the quality of your inputs matters more than the quantity of outputs. And when the outputs start shaping a real plan, our guide on how to write a business plan with AI shows how to turn that thinking into a document a bank or investor will take seriously. If you are earlier in the journey and running a small business rather than a venture-scale startup, our 35 AI prompts for small business owners covers the operational side — marketing, admin and customer service — that this founder-focused pack deliberately leaves out. And if product execution is your focus, our 30 AI prompts for product managers pack covers roadmaps, user research and stakeholder communication in depth.

Conclusion

The founders who get the most from AI are not the ones with the cleverest prompts — they are the ones who bring the clearest thinking to the conversation. Use these 40 AI prompts for startup founders as a forcing function: each one makes you articulate something you may have been carrying around vaguely in your head. Copy them, adapt them, argue with the answers. Your startup will be sharper for it — and your pitch, your product and your numbers will show it.