⚡ Promptolis Original · Business & Strategy
📊 Pitch Deck — 10 Slide Architecture
10-slide investor pitch deck grounded in Sequoia template + Kawasaki 10/20/30 rule + actual decks from Airbnb, Dropbox, Linear, and other funded companies.
Why this is epic
Most 'Pitch Deck — 10 Slide Architecture' prompts online produce generic, template-quality output. This one is structured like production-grade prompt engineering — role definition, principles, input schema, output format, auto-intake.
Research-backed: 10-slide investor pitch deck grounded in Sequoia template + Kawasaki 10/20/30 rule + actual decks from Airbnb, Dropbox, Linear, and other funded companies.
Designed for practitioner-level depth, not generalist skim. Works across Claude, ChatGPT, and Gemini with consistent quality.
The prompt
Example: input → output
Here's how this prompt actually performs. Real input below, real output from Claude Opus 4.
Round stage: Seed round Company name: ProfilePro What you do: AI-powered LinkedIn profile optimization for B2B sales professionals Traction: 1,400 paying customers, $42K MRR (growing 18% MoM for 4 months), NPS 68, 4.2% monthly churn Team: Me (ex-Salesforce PM, 6 years B2B sales tech), cofounder (ex-Deel engineering lead, led AI team) The problem: 87M LinkedIn B2B salespeople compete for attention; most profiles are poorly optimized and cost them 40%+ fewer replies to cold outreach Your solution: Paste LinkedIn URL → AI analyzes profile vs top 1% in their niche → generates optimized headline, summary, experience bullets in their voice Market size: TAM $5.6B (87M B2B salespeople × $65/year avg productivity tool spend). SAM $1.8B (US/EU). SOM $180M (early-adopter segment). Business model: $19/month subscription + $49/one-time profile rewrite. Average customer LTV $140. Competition: Resume.io (resumes, not LinkedIn), LinkedIn's own recommendations (generic, no AI), Fiverr consultants (expensive, slow, inconsistent). The ask: $2.5M seed at $10M post-money for 18 months. Reach $100K MRR + prepare Series A at $1M ARR. Build the deck.
Your Pitch Deck — 10 Slides for ProfilePro Seed Round
Slide 1: Title + one-liner
On slide:
- PROFILEPRO (logo)
- 'AI-optimized LinkedIn profiles for B2B sellers'
- 'Seed Round — Q4 2026'
- [Your name], Co-founder & CEO | [Cofounder name], Co-founder & CTO
What to say: 15 seconds. 'Hi, I'm [name]. We build AI-powered LinkedIn profile optimization for B2B salespeople. We're raising $2.5M to go from $42K to $100K MRR.'
---
Slide 2: Problem
On slide:
- Headline: 'B2B salespeople lose 40% of cold-outreach replies to bad LinkedIn profiles'
- Subhead: '87M B2B sellers worldwide. Most profiles are poorly optimized.'
- Visual: side-by-side screenshot of a generic LinkedIn profile vs optimized profile (both blurred names), with reply rate data
- 1-2 bullet points with specific pain:
- 'Cold outreach reply rate drops 40%+ when prospect's first check (LinkedIn profile) looks generic'
- 'Writing a good profile takes 3-8 hours; most never do it'
What to say: 45 seconds. 'Every B2B salesperson's cold outreach faces the same problem: prospects immediately check your LinkedIn profile. If it's generic, 40%+ don't reply. And writing a good profile takes 3-8 hours — most never do.'
---
Slide 3: Solution
On slide:
- Headline: 'Paste URL → Get optimized profile in 60 seconds'
- Visual: 3-step product flow screenshot (Paste URL → AI Analysis → Optimized Output)
- Key benefit: '2.8x more cold-outreach replies' (with data source in small text)
- Tagline: 'LinkedIn profile optimization that writes like you, not like AI'
What to say: 60 seconds. Demo the product live if possible. Or: 'User pastes their LinkedIn URL. Our AI analyzes it against the top 1% in their niche and rewrites the headline, summary, and key experience bullets in their voice. The whole thing takes 60 seconds. Our users see 2.8x more cold-outreach replies on average.'
---
Slide 4: Traction
On slide (this is YOUR strongest slide):
- Headline: 'The data'
- Visual: growth chart (MRR over last 6 months, showing 18% MoM compounding)
- Key stats in large numbers:
- 1,400 paying customers
- $42K MRR (↑ 18% MoM, 4 months consecutive)
- NPS 68 (strongest category signal)
- 4.2% monthly churn (good for SMB SaaS)
- Logos of 8-12 customer companies (if any recognizable names)
What to say: 60 seconds. 'We've been in market for 10 months. 1,400 paying customers, $42K MRR, growing 18% month-over-month consistently for the last 4 months. NPS 68 is strong — our customers love it and tell their colleagues. Our churn is under 5%, which is the healthy zone for SMB SaaS.'
---
Slide 5: Market Size
On slide:
- Headline: 'A $5.6B market hiding in plain sight'
- Visual: TAM/SAM/SOM bubbles
- TAM: $5.6B — 87M B2B salespeople × $65/year productivity tools
- SAM: $1.8B — US + EU B2B market
- SOM: $180M — early-adopter segment (first 10% penetration)
- Source note: Based on LinkedIn Sales Navigator user data + average B2B SaaS spend benchmarks
What to say: 30 seconds. 'The B2B sales profession is massive — 87 million people worldwide. Productivity-tool spend averages $65/year per salesperson. TAM is $5.6B; SAM is $1.8B in US/EU; SOM is $180M in our early-adopter wedge. We're going after the seed-stage segment.'
---
Slide 6: Business Model
On slide:
- Headline: 'SaaS subscription + one-time upgrades'
- Layout:
- $19/month subscription (primary revenue)
- $49 one-time profile rewrite (upsell, 38% take rate)
- Average LTV $140 (customer retained 7+ months)
- CAC: $38 (via paid LinkedIn + content)
- LTV/CAC: 3.7:1
What to say: 30 seconds. '$19/month subscription. 38% of customers also buy our $49 one-time profile rewrite. Average customer lifetime value is $140, CAC is $38. LTV/CAC at 3.7:1 is healthy.'
---
Slide 7: Competition
On slide:
- Headline: 'Why this hasn't been solved yet'
- 2x2 matrix (common pattern):
- X-axis: 'Price'
- Y-axis: 'LinkedIn-specific'
- ProfilePro in top-right quadrant
- Resume.io / Enhancv (bottom — resume focus, not LinkedIn)
- LinkedIn's own tools (left — free but generic)
- Fiverr freelancers (top-right but much more expensive)
- Why we win: 'LinkedIn-native. Priced for SMB. 60 seconds, not 2 weeks.'
What to say: 45 seconds. 'Our competition is: Resume.io and Enhancv (focused on resumes, not LinkedIn). LinkedIn's own recommendations (free but generic, AI-powered only in vague ways). Fiverr consultants ($500-2000 per profile, takes 2 weeks). We're the only LinkedIn-native, AI-powered, priced-for-SMB solution. 60 seconds vs 2 weeks. $19/month vs $500 project.'
---
Slide 8: Team
On slide:
- Headline: 'The founding team'
- Two founders side by side:
- [Your name], Co-founder & CEO — 6 years at Salesforce (Product Manager, Sales Tech team). Led product launches touching $2B ARR segment. Understands B2B sales deeply.
- [Cofounder name], Co-founder & CTO — Former AI engineering lead at Deel. Led ML team from 3 to 22 engineers. Built production LLM applications at scale.
What to say: 45 seconds. 'I'm [name] — 6 years at Salesforce on the sales tech PM team. I built products used by 100,000+ salespeople. I know this user intimately. My cofounder [name] was the AI lead at Deel — built their ML team from 3 to 22 people, shipped production LLM products. We've worked together for 5 years; we know how to ship.'
---
Slide 9: Financials Forecast
On slide:
- Headline: 'Path to $1M ARR in 18 months'
- Visual: revenue projection (quarterly)
- Q4 2026 (today): $504K ARR run-rate
- Q2 2027: $850K ARR
- Q4 2027 (Series A): $1.2M ARR
- Assumption highlights:
- 15% MoM growth sustained (conservative from current 18%)
- Churn improves from 4.2% to 3% via product investments
- CAC stays $38-45 via organic-plus-paid mix
What to say: 30 seconds. 'At current growth, we'll hit $1M ARR by Q4 2027 — perfect timing for Series A. We're being conservative: 15% MoM in the model vs our current 18%. We plan product investments to cut churn from 4.2% to 3%.'
---
Slide 10: The Ask
On slide:
- Headline: 'We're raising $2.5M seed at $10M post-money'
- Use of funds (pie chart):
- Engineering (60%): 3 hires to accelerate product
- Marketing (25%): paid acquisition + content
- Operations (10%): tools + infrastructure
- Reserve (5%): buffer
- Milestones (18 months):
- $100K MRR → Series A-ready
- Churn under 3%
- 5,000 paying customers
- Contact: your email + phone + LinkedIn
What to say: 45 seconds. 'We're raising $2.5M at $10M post-money. 18 months of runway to hit $100K MRR and prepare our Series A. 60% goes to engineering (3 senior hires), 25% to marketing. We'd love to have you involved — let's talk.'
---
What to Say vs What's on the Slide
Rule: Slides are for the eyes, you are for the ears. Don't read slides.
- Slide text: short phrases, big numbers, ONE image
- What you say: the story around the numbers. Context. Why now. Why you. Conviction.
If you read every word on a slide, the investor isn't listening to you — they're reading ahead. Keep slide text minimal; elaborate verbally.
What to Avoid
1. 15+ slides: investors lose attention. If your idea needs 30 slides to explain, you don't have a clear idea yet.
2. Market size claims you can't defend: '$100B market' that's clearly $3B tells investors you're either sloppy or dishonest. Both disqualify.
3. 'No competition' statements: unless you're doing something genuinely novel (rare), this signals naive analysis. Acknowledge competition and explain positioning.
4. Roadmap slides 2 years out: early-stage. You don't know what you're doing in 18 months. Milestones 6 months out are credible.
5. Traction slide without actual data: 'We're growing fast!' without numbers is the death knell. Numbers or skip the slide.
6. Team slide with 5+ people listed: for seed, 2-3 founders + maybe 1 key advisor is all that matters. Don't pad with 'team of 12' if they just started.
7. Vague ask: 'We're raising a seed round' is worse than 'We're raising $2.5M at $10M post for 18 months to reach $1M ARR.'
8. Animation/transition overuse: gray font, slide-in effects, PowerPoint zooms — all signal amateur. Simple, clean, static.
Key Takeaways
- 10 slides max. Guy Kawasaki 10/20/30 rule: 10 slides, 20 min, 30-point font. Investors read in 3 min, not 30.
- Problem + Solution + Traction are your 3 anchor slides. Everything else supports these.
- Slide 4 (Traction) is your strongest card. Lead with numbers: 1,400 customers, $42K MRR, 18% MoM, NPS 68, <5% churn.
- Every slide: ONE message, ONE visual or big number, NO bullet-soup.
- Team slide: 2-3 founders with problem-relevant backgrounds. Don't pad.
- Market size: bottom-up ($5.6B explainable) > top-down ($100B unverifiable).
- The ask is SPECIFIC: $2.5M at $10M post for 18 months to reach $100K MRR. Not 'we're raising.'
- 60% engineering, 25% marketing, 10% ops, 5% reserve — standard early-stage allocation.
- You talk; slides support. If you read the slides, investors read ahead.
Common use cases
- Professionals who need structured thinking on this topic, not vague advice
- Practitioners making specific decisions with real stakes
- Anyone tired of generic AI responses to domain-specific questions
- Users wanting depth over breadth — one thing done well, not 10 things done poorly
Best AI model for this
Claude Opus 4.7 for slide copy. GPT-5 for financial modeling.
Pro tips
- Paste your real situation (with specific numbers and context), not generic 'help me with X' framing. The prompt rewards specificity.
- If the prompt asks auto-intake questions, answer them fully before expecting output — incomplete inputs produce incomplete outputs.
- For ambiguous situations, run the prompt twice with different framings. Compare outputs. Often reveals the right path.
- Save the outputs you value. Iterate on them across sessions rather than re-running from scratch.
- Pair with a human expert for high-stakes decisions — the prompt is a first-draft tool, not a final authority.
- Share what worked back with us (promptolis.com/contact). Helps us refine future versions.
- The research citations inside the prompt are real — look them up if a specific claim matters for your decision.
Customization tips
- For pre-seed stage (no product or tiny traction), the pitch focuses on team + insight + mini-demo. Problem slide becomes the biggest anchor. Traction slide may be 'concierge MVP with 10 users' — that's OK at pre-seed. Total slides stay around 10, market size slide less important than team slide.
- For Series A (usually $8-15M raise after $1M ARR), traction slide becomes the anchor entirely. Show CAC, LTV, payback period, cohort retention. Market size becomes about WHICH segment of TAM you own and why. Team slide adds 1-2 key hires made since seed.
- For enterprise B2B SaaS pitches (selling to Fortune 500), emphasize: logo customers (with logos on slide if permissioned), contract values (ACV), sales cycle length, pipeline strength. Enterprise decks run a few slides longer (12-15) because sales dynamics matter more.
- For marketplace pitches, the traction slide splits: supply side + demand side metrics. Liquidity (transactions per user per month) matters. Show both sides growing.
- For hardware/physical product pitches, add: manufacturing partnerships, unit economics (cost per unit at scale), IP/patents. Investors want to know you've de-risked manufacturing.
- For content/creator economy pitches, platform-risk question must be answered. How does your moat exist if TikTok/YouTube/Twitter change their algorithm? Some investors won't touch without answer.
- For AI-specific pitches in 2026, 'we use AI' isn't differentiation. Show: (1) proprietary data advantage, (2) model fine-tuning methodology, (3) model-agnostic architecture (not locked to one provider), (4) evaluation rigor. Most AI pitches blur these.
- For healthcare or fintech pitches, regulatory angle becomes key slide. Show you understand HIPAA (healthcare) or GLBA/consumer financial regulations (fintech). Ignorance here = deal dies.
Variants
Default
Standard flow for most users working on this topic
Beginner
Simplified output for users new to the domain — less jargon, more foundational explanation
Advanced
Denser output assuming practitioner-level baseline knowledge
Short-form
Compressed output for quick decisions, under 500 words
Frequently asked questions
How do I use the Pitch Deck — 10 Slide Architecture prompt?
Open the prompt page, click 'Copy prompt', paste it into ChatGPT, Claude, or Gemini, and replace the placeholders in curly braces with your real input. The prompt is also launchable directly in each model with one click.
Which AI model works best with Pitch Deck — 10 Slide Architecture?
Claude Opus 4.7 for slide copy. GPT-5 for financial modeling.
Can I customize the Pitch Deck — 10 Slide Architecture prompt for my use case?
Yes — every Promptolis Original is designed to be customized. Key levers: Paste your real situation (with specific numbers and context), not generic 'help me with X' framing. The prompt rewards specificity.; If the prompt asks auto-intake questions, answer them fully before expecting output — incomplete inputs produce incomplete outputs.
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