You are a world-class product designer, SaaS architect, and GenAI engineer. I want you to help me design and build a Next-Gen GenAI SaaS platform focused on Startup Evaluation for VCs, Angel Networks, Accelerators, and Corporate Investment Teams.
The platform should automate and enhance the full lifecycle of startup evaluation—from ingestion to predictive ROI modeling—using GenAI, NLP, scraping, embeddings, RAG pipelines, and intelligent UX.
Design and implement 6 core modules, each with:
Key objectives Deep dive on functionality Backend tech stack GenAI capabilities UI/UX experience (dashboards, views, interactions) 🎯 MODULE 1: Automated Ingestion of Pitch Materials Objective: Seamlessly ingest startup data from decks, websites, videos, LinkedIn, PDFs, etc., and structure it using GenAI.
Functionality:
Upload PDFs (pitch decks, financials), parse with Unstructured.io, pdfplumber Scrape websites and LinkedIn using Puppeteer + BeautifulSoup Transcribe product demo videos via Whisper, summarize using LLMs Extract founder data, team bios, market size, and product features UI/UX:
Drag-and-drop upload zone with file previews URL input for websites & LinkedIn Visual parsing timeline ("Extracting deck insights…") Structured output in card format: Team, Product, Market, Financials 📊 MODULE 2: Multimodal Scoring Engine Objective: Score startups based on 8–10 weighted dimensions to generate an investment-readiness score.
Functionality:
Dimensions: Team, Product, Market, Financials, Traction, Risk, Competition, IP Use GenAI agents per category (Tech Score Agent, Risk Agent, etc.) Customizable scoring weights per investor type (early/growth/corp VC) UI/UX:
Radar charts for dimension scores Color-coded scoring bar (0–100) Toggle view: VC mode vs Angel mode "Why this score?" → GenAI explanation tooltips 🌍 MODULE 3: Comparative Market Intelligence Objective: Benchmark startups against competitors, sectors, and market patterns.
Functionality:
Scrape competitor sites and ProductHunt profiles Use embeddings to compare features, business models, pricing Pull valuation data, exits, M&A news via APIs (e.g., Tracxn, Pitchbook) Auto-generate SWOT and “white space” opportunity map UI/UX:
Quadrant chart: Innovation vs Traction Competitor cluster maps Toggle competitor cards GenAI-generated narrative comparison ("Startup X is 32% leaner than Y") 📄 MODULE 4: Auto-Generated Due Diligence Reports Objective: Generate a full investment memo from all available data, with customization options.
Functionality:
Generate editable DD reports in sections: Summary, Market, Team, Product, Risks, Thesis Allow investors to annotate and collaborate on the memo Export as branded PDF, Word, or link Embed charts, tables, SWOT, and AI-generated IC questions UI/UX:
Left panel: Section navigation (like Notion) Rich text editing, comments, tagging “Regenerate section” button Final PDF preview & export 🤝 MODULE 5: Collaborative VC Workspace Objective: Central workspace for team voting, deal tracking, startup comparison, and decision-making.
Functionality:
Kanban pipeline view: Evaluated → IC Ready → Invested Compare up to 5 startups side-by-side Voting system with GenAI summary of team consensus Slack/email notifications, integrated CRM export UI/UX:
Deal flow board (like Trello) Mini-cards with key stats + tags Comment threads, @mentions, emojis Side-by-side card compare with toggleable metrics 📈 MODULE 6: Predictive ROI & Exit Modeling Objective: Simulate valuation growth, exit potential, and ROI under various funding & growth scenarios.
Functionality:
Monte Carlo simulations of ROI (based on growth rate, burn, exit timing) Exit route prediction: M&A, IPO, shutdown Benchmarking against similar startups historically Auto-flag unrealistic projections or hidden risks UI/UX:
Slider inputs: Entry valuation, years held, growth rate Output: ROI range (Best, Median, Worst), exit path chart Commentary: “At projected 35% YoY, you reach ₹200Cr valuation in Year 4” Export IC slide with ROI chart and assumptions 💡 Overall UX/Design Principles Clean, investor-grade design (light + dark mode) Modular dashboard view: Ingestion → Evaluation → Reports → Decisions AI chat sidebar: Ask “Which startups are in HealthTech with CAC < LTV and high TAM?” Search, filters, batch actions for analysts Role-based access: Partner, Analyst, IC Member, Associate
I'll help you build a comprehensive platform for startup evaluation using Next.js, modern UI components, and GenAI capabilities. Let's start with the core layout and dashboard that will tie all six modules together.
I've created the foundation for your Next-Gen GenAI SaaS platform for startup evaluation. The implementation includes:
Core Layout and Navigation
Dashboard
Module 1: Automated Ingestion
Module 2: Multimodal Scoring Engine
To complete the platform, we should implement the remaining modules:
Module 3: Comparative Market Intelligence
Module 4: Auto-Generated Due Diligence Reports
Module 5: Collaborative VC Workspace
Module 6: Predictive ROI & Exit Modeling
Would you like me to continue implementing any of these specific modules next?
This great. Can you make the below changes.
I'll implement all the requested changes to make the platform fully functional, visually appealing, and error-free with comprehensive mock data.
Continue generating the rest of the code to make sure every functionality is working and navigating is working as per the core functionality. Make it a responsive Saas application where it should work seamless on browser and mobile responsive with enhanced colors and iconography with all functional pages in the left hand pane. Complete the applications and create mock data for every step to show fantastic visuals for the user.