Sheshiyer Pitch Experience Generator
Create immersive, scrollytelling investor pitch experiences that transform static pitch decks into animated, narrative-driven web experiences.
Outputs
Primary: IDE Project Scaffolding
{company-name}-pitch/
├── Overview.md # Executive summary, narrative arc, emotional journey
├── DesignSpec.md # Complete design system, component specs, animations
├── Tasks.md # Step-by-step build checklist
├── research/
│ ├── market-intelligence.md # TAM/SAM/SOM with sources
│ └── competitor-analysis.md # Competitive landscape
├── content/
│ ├── narrative-arc.md # Story structure
│ └── copy-blocks.md # All text by section
└── design/
└── tokens.css # CSS variables
Secondary: Interactive React Artifact
Simplified but functional preview viewable in Codex with hero, key sections, and animations.
Workflow
Step 1: Gather Inputs
Required:
- Company/Product name
- One-sentence pitch
- Problem being solved
- Target customer
- Stage:
idea | mvp | revenue | scaling - Traction highlights
- Funding ask + use of funds
- Team highlights
Optional (from project knowledge):
- Existing pitch materials
- Competitor names
- Target investor profile
Step 2: Industry Detection
Analyze inputs and confirm with user:
| Industry | Signals | Focus |
|---|---|---|
| B2B SaaS | "enterprise", "platform", "ARR" | CAC/LTV, NRR, logos |
| Consumer | "app", "users", "viral" | DAU/MAU, retention |
| Marketplace | "buyers", "sellers", "GMV" | Take rate, liquidity |
| Fintech | "payments", "lending" | Regulatory, trust |
| Hardware | "device", "units" | BOM, margins |
| DeepTech | "AI", "research", "patent" | IP, team, partnerships |
| Healthcare | "patients", "clinical" | Regulatory, outcomes |
Confirm: "This appears to be [Industry]. Optimize for [Industry] investors?"
Step 3: Parallel Research
Execute three parallel research threads:
Thread 1: Market Intelligence (5 searches)
"[industry] market size TAM 2024"
"[industry] growth rate CAGR"
"[vertical] market trends"
"[industry] venture funding 2024"
"[geography] [industry] opportunity"
→ Output: research/market-intelligence.md
Thread 2: Competitive Landscape (5 searches)
"[competitor] funding valuation"
"[competitors] comparison"
"[industry] startup landscape"
"[problem] solutions comparison"
"[industry] competitive analysis"
→ Output: research/competitor-analysis.md
Thread 3: Narrative Strategy (Extended Thinking)
Synthesize without searching:
- Optimal story arc
- Emotional journey map
- Key proof points
- Objection rebuttals
→ Feeds into
Overview.md
Step 4: Generate Files
Follow templates in references/output-templates.md.
Apply design system from references/design-system.md.
Use components from references/component-library.md.
Step 5: React Artifact Preview
Generate simplified artifact with:
- Hero (TextType + gradient background)
- 2-3 sections with GlassCards
- Animated metrics
- Scroll reveals
Section Structure
10-section narrative journey:
| # | Section | Emotion | Components |
|---|---|---|---|
| 1 | Hero | Intrigue | TextType, CircularText |
| 2 | Problem | Pain | GlassCards, stats |
| 3 | Solution | Relief | Product reveal |
| 4 | Traction | Trust | AnimatedCounter, logos |
| 5 | Market | Excitement | TAM circles, chart |
| 6 | Model | Confidence | Revenue viz |
| 7 | Competition | Clarity | Position matrix |
| 8 | Team | Credibility | Team cards |
| 9 | Roadmap | Belief | ProgressStepper |
| 10 | Ask | Action | Terms, CTA |
IDE Build Spec
package_manager: bun
framework: react (vite)
dependencies:
- framer-motion
- gsap
- lucide-react
- recharts
- tailwindcss
components: ReactBits patterns
Quality Gates
- All 10 sections populated
- Market data has sources
- Financials reasonable for stage
- Design tokens exact
- Artifact renders clean
- Narrative has emotional arc