diff --git "a/app.py" "b/app.py"
--- "a/app.py"
+++ "b/app.py"
@@ -1,45 +1,3 @@
-# -*- coding: utf-8 -*-
-"""startup-blueprint-rag.ipynb
-
-Automatically generated by Colab.
-
-Original file is located at
- https://colab.research.google.com/drive/1HyANU9TphlpFDTR9Z_mHshPBcfMHvsto
-
-# π Startup Blueprint Generator Agent with RAG
-## Comprehensive AI-Powered Startup Planning Platform
-
-This notebook implements a complete startup blueprint generation system using:
-- **RAG (Retrieval-Augmented Generation)** with ChromaDB
-- **Business Plan Generation**
-- **Interactive Flashcards Creation**
-- **Visual Roadmap Generation**
-- **Streamlit UI** and **Gradio Hosting**
-
-### Features:
-- π Market Research & Competitive Analysis
-- π Business Plan Synthesis
-- π― Legal & Financial Setup Guidance
-- π₯ Team & Operations Planning
-- π¨ Brand & Marketing Strategy
-- ποΈ Dynamic Roadmap Creation
-- π Learning Flashcards System
-
-## π¦ Installation & Setup
-"""
-
-# Install required packages
-!pip install -q chromadb sentence-transformers streamlit gradio
-!pip install -q langchain langchain-community langchain-openai
-!pip install -q plotly pandas numpy scikit-learn
-!pip install -q python-dotenv joblib pydantic
-!pip install -q transformers torch
-
-# Additional packages for enhanced functionality
-!pip install -q beautifulsoup4 requests matplotlib seaborn
-!pip install -q python-docx fpdf2
-
-# Core imports
import os
import json
import pandas as pd
@@ -49,32 +7,30 @@ from typing import List, Dict, Any, Optional
import warnings
warnings.filterwarnings('ignore')
-# RAG and Vector Database
+# Core imports
+import gradio as gr
import chromadb
from sentence_transformers import SentenceTransformer
from langchain.text_splitter import RecursiveCharacterTextSplitter
-from langchain.schema import Document
-
-# ML and Model Persistence
import joblib
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
-
-# UI and Visualization
-import streamlit as st
-import gradio as gr
import plotly.graph_objects as go
import plotly.express as px
from plotly.subplots import make_subplots
-
-# Utilities
import re
import uuid
from dataclasses import dataclass
from pathlib import Path
-"""## ποΈ Data Models & Core Classes"""
+# Set up paths for different deployment environments
+CHROMA_DB_PATH = os.getenv("CHROMA_DB_PATH", "./chroma_db")
+PERSIST_DIR = os.getenv("PERSIST_DIR", CHROMA_DB_PATH)
+Path(PERSIST_DIR).mkdir(parents=True, exist_ok=True)
+
+print(f"ποΈ ChromaDB will be stored at: {PERSIST_DIR}")
+# Data Models
@dataclass
class StartupIdea:
"""Data model for startup ideas"""
@@ -119,325 +75,429 @@ class RoadmapMilestone:
priority: str
category: str
-"""## π§ RAG System Implementation"""
-
+# RAG System Implementation
class RAGSystem:
- """
- Retrieval-Augmented Generation system using ChromaDB
- for startup knowledge base and context retrieval
- """
-
+ """Retrieval-Augmented Generation system using ChromaDB"""
+
def __init__(self, model_name: str = "all-MiniLM-L6-v2"):
- self.embedding_model = SentenceTransformer(model_name)
- self.chroma_client = chromadb.PersistentClient(path="./chroma_db")
- self.collection_name = "startup_knowledge"
- self.collection = None
- self.text_splitter = RecursiveCharacterTextSplitter(
- chunk_size=1000,
- chunk_overlap=200,
- length_function=len
- )
+ print("π§ Initializing RAG System...")
+ try:
+ self.embedding_model = SentenceTransformer(model_name)
+ self.chroma_client = chromadb.PersistentClient(path=PERSIST_DIR)
+ self.collection_name = "startup_knowledge"
+ self.collection = None
+ self.text_splitter = RecursiveCharacterTextSplitter(
+ chunk_size=1000,
+ chunk_overlap=200,
+ length_function=len
+ )
+ print("β
RAG System initialized successfully")
+ except Exception as e:
+ print(f"β Error initializing RAG System: {e}")
+ raise
def initialize_collection(self):
"""Initialize or get existing collection"""
try:
- self.collection = self.chroma_client.get_collection(self.collection_name)
- except:
- self.collection = self.chroma_client.create_collection(
- name=self.collection_name,
- metadata={"description": "Startup knowledge base"}
- )
- return self.collection
+ # Try to get existing collection first
+ collections = self.chroma_client.list_collections()
+ existing_collection = next((c for c in collections if c.name == self.collection_name), None)
+
+ if existing_collection:
+ self.collection = self.chroma_client.get_collection(self.collection_name)
+ print(f"π Found existing collection with {self.collection.count()} documents")
+ else:
+ self.collection = self.chroma_client.create_collection(
+ name=self.collection_name,
+ metadata={"description": "Startup knowledge base"}
+ )
+ print("π Created new collection")
+
+ return self.collection
+
+ except Exception as e:
+ print(f"β Error initializing collection: {e}")
+ # Fallback: create new collection
+ try:
+ self.collection = self.chroma_client.create_collection(
+ name=f"{self.collection_name}_{uuid.uuid4().hex[:8]}",
+ metadata={"description": "Startup knowledge base"}
+ )
+ print("π Created fallback collection")
+ return self.collection
+ except Exception as e2:
+ print(f"β Fatal error creating collection: {e2}")
+ raise
def add_documents(self, documents: List[str], metadatas: List[Dict] = None):
"""Add documents to the knowledge base"""
if not self.collection:
self.initialize_collection()
-
- # Split documents into chunks
- all_chunks = []
- all_metadatas = []
-
- for i, doc in enumerate(documents):
- chunks = self.text_splitter.split_text(doc)
- all_chunks.extend(chunks)
-
- # Add metadata for each chunk
- doc_metadata = metadatas[i] if metadatas else {}
- for chunk in chunks:
- all_metadatas.append({
- **doc_metadata,
- "chunk_id": str(uuid.uuid4()),
- "timestamp": datetime.now().isoformat()
- })
-
- # Generate embeddings
- embeddings = self.embedding_model.encode(all_chunks).tolist()
-
- # Add to collection
- ids = [str(uuid.uuid4()) for _ in all_chunks]
- self.collection.add(
- documents=all_chunks,
- embeddings=embeddings,
- metadatas=all_metadatas,
- ids=ids
- )
-
- return len(all_chunks)
+
+ try:
+ # Split documents into chunks
+ all_chunks = []
+ all_metadatas = []
+
+ for i, doc in enumerate(documents):
+ chunks = self.text_splitter.split_text(doc)
+ all_chunks.extend(chunks)
+
+ # Add metadata for each chunk
+ doc_metadata = metadatas[i] if metadatas and i < len(metadatas) else {}
+ for chunk in chunks:
+ all_metadatas.append({
+ **doc_metadata,
+ "chunk_id": str(uuid.uuid4()),
+ "timestamp": datetime.now().isoformat()
+ })
+
+ # Generate embeddings
+ print(f"π Generating embeddings for {len(all_chunks)} chunks...")
+ embeddings = self.embedding_model.encode(all_chunks).tolist()
+
+ # Add to collection
+ ids = [str(uuid.uuid4()) for _ in all_chunks]
+ self.collection.add(
+ documents=all_chunks,
+ embeddings=embeddings,
+ metadatas=all_metadatas,
+ ids=ids
+ )
+
+ print(f"β
Added {len(all_chunks)} chunks to knowledge base")
+ return len(all_chunks)
+
+ except Exception as e:
+ print(f"β Error adding documents: {e}")
+ return 0
def retrieve_context(self, query: str, n_results: int = 5) -> List[Dict]:
"""Retrieve relevant context for a query"""
if not self.collection:
self.initialize_collection()
-
- # Generate query embedding
- query_embedding = self.embedding_model.encode([query]).tolist()[0]
-
- # Query the collection
- results = self.collection.query(
- query_embeddings=[query_embedding],
- n_results=n_results
- )
-
- # Format results
- contexts = []
- if results['documents'][0]:
- for i, doc in enumerate(results['documents'][0]):
- contexts.append({
- "content": doc,
- "metadata": results['metadatas'][0][i],
- "distance": results['distances'][0][i]
- })
-
- return contexts
+
+ try:
+ # Generate query embedding
+ query_embedding = self.embedding_model.encode([query]).tolist()[0]
+
+ # Query the collection
+ results = self.collection.query(
+ query_embeddings=[query_embedding],
+ n_results=min(n_results, self.collection.count())
+ )
+
+ # Format results
+ contexts = []
+ if results['documents'][0]:
+ for i, doc in enumerate(results['documents'][0]):
+ contexts.append({
+ "content": doc,
+ "metadata": results['metadatas'][0][i] if results['metadatas'][0] else {},
+ "distance": results['distances'][0][i] if results['distances'] and results['distances'][0] else 0
+ })
+
+ return contexts
+
+ except Exception as e:
+ print(f"β Error retrieving context: {e}")
+ return []
def generate_response(self, query: str, context: List[Dict]) -> str:
"""Generate response using retrieved context"""
- # Combine context
- context_text = "\n".join([ctx["content"] for ctx in context])
-
- # Simple template-based generation (can be replaced with LLM)
- prompt = f"""
- Based on the following context, provide a comprehensive answer to the query:
-
- Context:
- {context_text}
-
- Query: {query}
-
- Answer:
- """
-
- # For now, return a structured response based on context
- # In production, this would call an LLM
- return self._generate_structured_response(query, context_text)
+ try:
+ # Combine context
+ context_text = "\n".join([ctx["content"] for ctx in context])
+
+ # Generate structured response based on query type
+ return self._generate_structured_response(query, context_text)
+
+ except Exception as e:
+ print(f"β Error generating response: {e}")
+ return "I apologize, but I encountered an error generating a response. Please try again."
def _generate_structured_response(self, query: str, context: str) -> str:
"""Generate structured response based on query type"""
query_lower = query.lower()
-
+
if "market research" in query_lower or "competition" in query_lower:
return f"""
- Based on the available data:
+**Market Analysis Framework:**
- **Market Analysis:**
- {context[:500]}...
-
- **Key Recommendations:**
- - Conduct thorough competitive analysis
- - Identify unique value propositions
- - Analyze market size and growth potential
- """
+Based on startup best practices:
+{context[:500]}...
+**Key Recommendations:**
+- Conduct thorough competitive analysis using TAM/SAM/SOM framework
+- Identify unique value propositions that differentiate your solution
+- Analyze market size and growth potential with real data
+- Validate assumptions through customer interviews and surveys
+- Track key metrics: CAC, LTV, market penetration rate
+"""
+
elif "business plan" in query_lower:
return f"""
- **Business Plan Guidance:**
- {context[:500]}...
+**Business Plan Development:**
- **Essential Components:**
- - Executive Summary
- - Market Analysis
- - Financial Projections
- - Marketing Strategy
- """
+Essential components based on successful startups:
+{context[:500]}...
+**Core Sections to Include:**
+- Executive Summary (mission, product, competitive advantages)
+- Market Analysis (industry overview, target market, competition)
+- Financial Projections (revenue forecasts, expense budgets, break-even analysis)
+- Marketing Strategy (customer acquisition, pricing model, sales process)
+- Funding Requirements (capital needs, use of funds, ROI projections)
+"""
+
+ elif "funding" in query_lower or "investment" in query_lower:
+ return f"""
+**Funding Strategy:**
+
+{context[:500]}...
+
+**Funding Options:**
+- Bootstrapping: Use personal savings (most common first step)
+- Angel Investors: High-net-worth individuals + mentorship
+- Venture Capital: Pooled funds for high-growth startups
+- Crowdfunding: Small amounts from many people online
+- Grants/Loans: Government programs and bank financing
+
+**Key Preparation Steps:**
+- Develop compelling pitch deck (10-12 slides)
+- Prepare detailed financial projections (3-5 years)
+- Build prototype or MVP to demonstrate traction
+- Gather customer validation and testimonials
+"""
+
else:
return f"""
- **Response:**
- {context[:500]}...
-
- **Additional Insights:**
- - Consider industry-specific factors
- - Validate assumptions with market data
- - Seek expert guidance when needed
- """
-
-# Initialize RAG system
-rag_system = RAGSystem()
-rag_system.initialize_collection()
-
-"""## π Knowledge Base Population"""
-
-# Startup knowledge base content
-startup_knowledge_base = [
- """
- IDEA VALIDATION AND MARKET RESEARCH
-
- Before building any product, entrepreneurs must prove market demand exists. This involves:
-
- 1. Problem Identification: Identify genuine problems that specific customer segments face. Many startups fail because they build products nobody wants.
-
- 2. Market Analysis: Determine total addressable market (TAM) size and research emerging trends. This analysis proves market opportunity to investors.
-
- 3. Competitive Research: Identify competitors, analyze their offerings, strengths, and weaknesses. Use this to define your unique selling proposition (USP).
-
- 4. Customer Validation: Conduct interviews, surveys, and prototype testing with potential customers to validate assumptions.
-
- 5. Market Sizing: Calculate TAM (Total Addressable Market), SAM (Serviceable Addressable Market), and SOM (Serviceable Obtainable Market).
-
- Key metrics to track: Customer acquisition cost (CAC), lifetime value (LTV), market penetration rate, and customer feedback scores.
- """,
+**Strategic Guidance:**
+
+{context[:400]}...
+
+**Key Considerations:**
+- Validate your assumptions with real market data
+- Focus on solving a genuine problem for a specific customer segment
+- Build strong unit economics (LTV/CAC ratio > 3:1)
+- Assemble a complementary founding team with diverse skills
+- Develop a clear go-to-market strategy
+
+**Next Steps:**
+- Conduct customer discovery interviews
+- Create a minimum viable product (MVP)
+- Test your pricing model with early customers
+- Build financial projections and fundraising plan
+"""
+# Startup Knowledge Base
+STARTUP_KNOWLEDGE_BASE = [
"""
- BUSINESS PLAN DEVELOPMENT
+IDEA VALIDATION AND MARKET RESEARCH
- A comprehensive business plan serves as a roadmap for structuring, running, and growing your company:
+Before building any product, entrepreneurs must prove market demand exists. This involves:
- 1. Executive Summary: Concise overview including mission, product, key objectives, and competitive advantages.
+1. Problem Identification: Identify genuine problems that specific customer segments face daily. Many startups fail because they build products nobody wants - this is the #1 cause of startup failure according to CB Insights.
- 2. Company Description: Detailed information on business model, legal structure, and customer value proposition.
+2. Market Analysis: Determine total addressable market (TAM) size and research emerging trends. Use frameworks like TAM/SAM/SOM:
+ - TAM (Total Addressable Market): Total market demand for a product/service
+ - SAM (Serviceable Addressable Market): The portion of TAM targeted by your products and services
+ - SOM (Serviceable Obtainable Market): The portion of SAM that you can realistically capture
- 3. Market Analysis: Industry overview, target market analysis, competitive landscape, and market trends.
+3. Competitive Research: Identify direct and indirect competitors, analyze their offerings, pricing, strengths, and weaknesses. Use this to define your unique selling proposition (USP) and competitive moat.
- 4. Organization & Management: Legal structure, management team, key personnel, and advisory board.
+4. Customer Validation: Conduct structured interviews, surveys, and prototype testing with 50+ potential customers to validate core assumptions about problem severity, willingness to pay, and solution fit.
- 5. Service/Product Line: Detailed description of products/services, development stage, and intellectual property.
+5. Market Sizing: Calculate addressable market using bottom-up (customer count Γ price) and top-down (market reports) approaches.
- 6. Marketing & Sales: Customer acquisition strategy, pricing model, sales process, and marketing channels.
+Key metrics to track: Customer acquisition cost (CAC), customer lifetime value (LTV), market penetration rate, Net Promoter Score (NPS), and product-market fit indicators.
+""",
- 7. Financial Projections: Revenue forecasts, expense budgets, cash flow projections, and break-even analysis.
+"""
+BUSINESS PLAN DEVELOPMENT
- 8. Funding Requirements: Capital needs, use of funds, and potential ROI for investors.
- """,
+A comprehensive business plan serves as both internal roadmap and external communication tool for investors:
- """
- FUNDING AND FINANCIAL MANAGEMENT
+1. Executive Summary (1-2 pages): Concise overview including company mission, product description, target market, competitive advantages, financial highlights, and funding requirements. This is often the only section investors read initially.
- Securing and managing finances is critical for startup success:
+2. Company Description: Detailed information on business model (B2B, B2C, marketplace), legal structure, location, and core value proposition. Include company history, ownership structure, and key milestones achieved.
- 1. Bootstrapping: Using personal savings to fund the business. Most common first step for many startups.
+3. Market Analysis: Industry overview with size and growth trends, target market demographics and psychographics, competitive landscape analysis, and market positioning strategy.
- 2. Friends and Family: Borrowing from or accepting investments from personal network.
+4. Organization & Management: Legal structure (LLC, C-Corp, etc.), management team bios and relevant experience, organizational chart, advisory board, and key personnel hiring plans.
- 3. Angel Investors: High-net-worth individuals who invest their money, often providing valuable mentorship.
+5. Service/Product Line: Detailed description of products/services, current development stage, intellectual property status, research and development plans, and product roadmap.
- 4. Venture Capitalists: Firms investing pooled funds in high-growth startups in exchange for equity.
+6. Marketing & Sales Strategy: Customer segmentation, pricing strategy, distribution channels, marketing mix (4 Ps), sales process, customer acquisition strategy, and retention plans.
- 5. Crowdfunding: Raising small amounts from large numbers of people online through platforms like Kickstarter.
+7. Financial Projections: 3-5 year revenue forecasts, expense budgets, cash flow projections, break-even analysis, key financial ratios, and sensitivity analysis.
- 6. Loans and Grants: Seeking debt financing from banks or government grants.
+8. Funding Requirements: Specific capital needs, use of funds breakdown, exit strategy for investors, and expected return on investment (ROI).
+""",
- Financial Management Best Practices:
- - Separate business and personal finances
- - Implement robust accounting systems
- - Track key financial metrics (burn rate, runway, gross margins)
- - Maintain detailed financial records for investors and taxes
- """,
+"""
+FUNDING AND FINANCIAL MANAGEMENT
+
+Securing and managing finances strategically is critical for startup survival and growth:
+
+1. Funding Sources:
+ - Bootstrapping: Using personal savings, credit cards, or revenue to fund growth. Maintains full control but limits scale.
+ - Friends and Family: First external funding round, typically $10K-$100K at pre-revenue stage.
+ - Angel Investors: High-net-worth individuals investing $25K-$100K, often providing valuable mentorship and connections.
+ - Venture Capital: Professional firms investing $1M+ in high-growth potential startups, expecting 10x+ returns.
+ - Crowdfunding: Platforms like Kickstarter, Indiegogo for product launches or equity crowdfunding via Republic, SeedInvest.
+ - Government Grants: SBIR/STTR grants, state economic development programs, industry-specific grants.
+
+2. Financial Management Best Practices:
+ - Separate business and personal finances immediately
+ - Implement robust accounting systems (QuickBooks, FreshBooks)
+ - Track key metrics: Monthly Recurring Revenue (MRR), Annual Recurring Revenue (ARR), gross margins, burn rate, runway
+ - Maintain 6-12 months of operating expenses in cash reserves
+ - Regular financial reporting and board updates
+
+3. Key Financial Metrics:
+ - Burn Rate: Monthly cash expenditure
+ - Runway: Months of cash remaining at current burn rate
+ - Customer Acquisition Cost (CAC): Total sales and marketing expenses Γ· number of new customers
+ - Customer Lifetime Value (LTV): Average revenue per customer Γ gross margin % Γ average customer lifespan
+ - LTV/CAC Ratio: Should be 3:1 or higher for sustainable unit economics
+
+4. Fundraising Process:
+ - Prepare comprehensive pitch deck (10-12 slides)
+ - Create detailed financial model with scenarios
+ - Build investor pipeline with warm introductions
+ - Practice pitch extensively before investor meetings
+ - Negotiate terms carefully (valuation, board seats, liquidation preferences)
+""",
- """
- LEGAL STRUCTURE AND REGISTRATION
-
- Choosing the right legal structure impacts liability, taxes, and ability to raise capital:
-
- 1. Business Structures:
- - Sole Proprietorship: Simplest form, personal liability for debts
- - Partnership: Shared ownership, shared liability
- - LLC: Limited liability protection, flexible tax options
- - Corporation: Strongest liability protection, can issue stock
-
- 2. Registration Process:
- - Choose and register business name
- - Obtain Employer Identification Number (EIN)
- - Secure necessary licenses and permits
- - Register for state and local taxes
-
- 3. Essential Legal Documents:
- - Articles of Incorporation/Organization
- - Founders' Agreement (ownership, IP rights, responsibilities)
- - Employee agreements and IP assignments
- - Terms of service and privacy policy
-
- 4. Intellectual Property Protection:
- - Trademarks for brand names and logos
- - Patents for unique inventions
- - Copyrights for creative works
- - Trade secrets for proprietary processes
- """,
+"""
+LEGAL STRUCTURE AND COMPLIANCE
+
+Choosing the right legal foundation protects founders and enables future growth:
+
+1. Business Structure Options:
+ - Sole Proprietorship: Simplest form, personal liability for all debts and obligations
+ - Partnership: Shared ownership and liability, requires partnership agreement
+ - Limited Liability Company (LLC): Personal asset protection, flexible tax options, simpler compliance
+ - C-Corporation: Strongest liability protection, can issue stock to investors, double taxation
+ - S-Corporation: Pass-through taxation, limited to 100 shareholders, all must be US citizens
+
+2. Delaware C-Corp Advantages for Startups:
+ - Well-established corporate law and court system
+ - Investor familiarity and preference
+ - Flexible stock structure (common, preferred)
+ - Strong director and officer protection
+ - Easy to convert from LLC if needed
+
+3. Essential Legal Documents:
+ - Articles of Incorporation/Organization filed with state
+ - Corporate bylaws or operating agreement
+ - Founders' Agreement: equity split, vesting schedules, intellectual property assignment, roles and responsibilities
+ - Employee agreements: offer letters, non-disclosure agreements (NDAs), invention assignment
+ - Customer agreements: terms of service, privacy policy, service level agreements (SLAs)
+
+4. Intellectual Property Protection:
+ - Trademarks: Protect brand names, logos, and slogans ($275-$325 per class)
+ - Patents: Protect unique inventions and processes ($5,000-$15,000+ including attorney fees)
+ - Copyrights: Protect creative works like software code, marketing materials
+ - Trade Secrets: Protect proprietary processes, customer lists, algorithms through confidentiality
+
+5. Compliance Requirements:
+ - Federal EIN (Employer Identification Number)
+ - State and local business licenses
+ - Industry-specific permits and certifications
+ - Sales tax registration if selling products
+ - Employment law compliance (workers' compensation, unemployment insurance)
+ - Data privacy compliance (GDPR, CCPA, HIPAA if applicable)
+""",
- """
- TEAM BUILDING AND OPERATIONS
-
- Building the right team is critical for startup success:
-
- 1. Founding Team Composition:
- - Complementary skills (technical, business, domain expertise)
- - Diverse perspectives and backgrounds
- - Aligned vision and values
- - Commitment to long-term success
-
- 2. Hiring Strategy:
- - Hire for adaptability and cultural fit
- - Focus on critical roles first (technical, sales, marketing)
- - Consider equity compensation for early employees
- - Implement strong onboarding processes
-
- 3. Operational Excellence:
- - Develop Minimum Viable Product (MVP)
- - Establish sales and distribution channels
- - Define key performance indicators (KPIs)
- - Create scalable business processes
-
- 4. Key Metrics to Track:
- - Customer Acquisition Cost (CAC)
- - Customer Lifetime Value (LTV)
- - Monthly Recurring Revenue (MRR)
- - Employee satisfaction and retention
- """,
+"""
+TEAM BUILDING AND OPERATIONS
+
+Building the right team and operational foundation scales with your startup:
+
+1. Founding Team Composition:
+ - Complementary skills covering key functions: technical, business development, domain expertise
+ - Diverse perspectives and backgrounds for better decision-making
+ - Aligned vision, values, and commitment to long-term success
+ - Previous startup experience or relevant industry expertise preferred
+ - Equity split should reflect contribution, risk, and future value creation
+
+2. Early Employee Hiring Strategy:
+ - Hire for adaptability and cultural fit over perfect skill match
+ - Focus on critical roles first: engineering, sales, marketing depending on business model
+ - Use equity compensation (0.1%-10% depending on role and stage) to attract talent
+ - Implement 4-year vesting schedules with 1-year cliffs
+ - Create strong onboarding processes and company culture documentation
+
+3. Operational Excellence:
+ - Develop Minimum Viable Product (MVP) with core features only
+ - Establish sales and distribution channels appropriate for target market
+ - Define and track Key Performance Indicators (KPIs) for each business function
+ - Create scalable business processes using automation tools
+ - Implement customer support systems and feedback loops
+ - Build quality assurance and testing procedures
+
+4. Key Metrics to Track by Function:
+ - Product: Daily/Monthly Active Users (DAU/MAU), feature adoption rates, user retention cohorts
+ - Sales: Lead conversion rates, sales cycle length, average contract value (ACV)
+ - Marketing: Cost per lead (CPL), marketing qualified leads (MQLs), brand awareness metrics
+ - Operations: Customer satisfaction scores, support ticket resolution time, operational efficiency ratios
+ - Finance: Revenue growth rate, gross margins, working capital management
+
+5. Scaling Considerations:
+ - Document processes and procedures before they become bottlenecks
+ - Invest in tools and systems that grow with the company
+ - Build management capabilities and delegation skills
+ - Create career development paths to retain top talent
+ - Establish board of directors and advisory board for guidance
+""",
- """
- BRAND DEVELOPMENT AND MARKETING
-
- Strong branding and marketing are essential for customer acquisition:
-
- 1. Brand Identity Development:
- - Define brand values and personality
- - Create unique selling proposition (USP)
- - Develop consistent visual identity
- - Establish brand voice and tone
-
- 2. Digital Presence:
- - Secure domain name and build website
- - Create social media accounts
- - Develop content marketing strategy
- - Implement SEO best practices
-
- 3. Marketing Channels:
- - Content marketing (blog, videos, podcasts)
- - Social media marketing
- - Email marketing campaigns
- - Paid advertising (Google Ads, Facebook Ads)
- - Public relations and media outreach
-
- 4. Customer Feedback Loop:
- - Collect and analyze customer feedback
- - Iterate on product based on user input
- - Build customer loyalty programs
- - Monitor brand reputation online
- """,
+"""
+BRAND DEVELOPMENT AND MARKETING
+
+Strong branding and customer acquisition strategy drives sustainable growth:
+
+1. Brand Identity Development:
+ - Define brand values, personality, and voice that resonates with target customers
+ - Create unique selling proposition (USP) that differentiates from competitors
+ - Develop consistent visual identity: logo, color palette, typography, imagery style
+ - Establish brand positioning in the market landscape
+ - Create brand guidelines document for consistent application
+
+2. Digital Presence Foundation:
+ - Secure primary domain and social media handles across platforms
+ - Build professional website with clear value proposition and calls-to-action
+ - Optimize for search engines (SEO) with relevant keywords and quality content
+ - Implement analytics tracking (Google Analytics, Mixpanel) from day one
+ - Create content calendar and editorial strategy
+
+3. Customer Acquisition Channels:
+ - Content Marketing: Blog posts, whitepapers, case studies, webinars to establish thought leadership
+ - Social Media Marketing: Platform-specific strategies for LinkedIn (B2B), Instagram (B2C), Twitter (tech)
+ - Search Engine Marketing: Google Ads, Bing Ads with targeted keywords and landing pages
+ - Email Marketing: Newsletter campaigns, drip sequences, automated workflows
+ - Partnership Marketing: Co-marketing with complementary businesses, affiliate programs
+ - Public Relations: Media outreach, press releases, industry award submissions
+
+4. Marketing Metrics and Attribution:
+ - Website traffic: unique visitors, page views, bounce rate, session duration
+ - Conversion funnel: visitor-to-lead, lead-to-customer conversion rates
+ - Channel performance: CAC by channel, LTV by acquisition source
+ - Content performance: engagement rates, social shares, backlink acquisition
+ - Brand metrics: brand awareness, consideration, and preference tracking
+
+5. Customer Success and Retention:
+ - Implement customer feedback loops: surveys, interviews, usage analytics
+ - Create customer success programs for high-value accounts
+ - Build community around your product: user groups, forums, events
+ - Develop referral and loyalty programs to encourage word-of-mouth marketing
+ - Monitor and improve Net Promoter Score (NPS) and customer satisfaction metrics
+"""
]
-# Metadata for each document
-knowledge_metadata = [
+# Metadata for knowledge base
+KNOWLEDGE_METADATA = [
{"category": "validation", "topic": "market_research", "importance": "high"},
{"category": "planning", "topic": "business_plan", "importance": "high"},
{"category": "finance", "topic": "funding", "importance": "high"},
@@ -446,149 +506,156 @@ knowledge_metadata = [
{"category": "marketing", "topic": "branding", "importance": "medium"},
]
-# Add documents to RAG system
-print("Populating knowledge base...")
-chunks_added = rag_system.add_documents(startup_knowledge_base, knowledge_metadata)
-print(f"Successfully added {chunks_added} knowledge chunks to the database")
-
-# Test RAG retrieval
-test_query = "How do I validate my startup idea?"
-context = rag_system.retrieve_context(test_query, n_results=3)
-response = rag_system.generate_response(test_query, context)
-
-print(f"\nTest Query: {test_query}")
-print(f"Response: {response[:300]}...")
-print(f"\nRAG system is working properly!")
-
-"""## π’ Startup Blueprint Generator"""
-
+# Business Plan Generator
class StartupBlueprintGenerator:
- """
- Main class for generating comprehensive startup blueprints
- using RAG-enhanced context and templates
- """
-
+ """Main class for generating comprehensive startup blueprints"""
+
def __init__(self, rag_system: RAGSystem):
self.rag = rag_system
self.templates = self._load_templates()
- self.model_data = {} # Store generated data for persistence
+ self.model_data = {}
def _load_templates(self) -> Dict[str, str]:
"""Load template structures for different blueprint sections"""
return {
"executive_summary": """
- ## Executive Summary
+## Executive Summary
- **Company:** {company_name}
- **Industry:** {industry}
- **Mission:** {mission}
+**Company:** {company_name}
+**Industry:** {industry}
+**Mission:** {mission}
- ### Problem Statement
- {problem_statement}
+### Problem Statement
+{problem_statement}
- ### Solution
- {solution}
+### Solution
+{solution}
- ### Market Opportunity
- {market_opportunity}
+### Market Opportunity
+{market_opportunity}
- ### Financial Highlights
- - Projected Revenue Year 3: {projected_revenue}
- - Funding Requirement: {funding_needed}
- - Break-even Timeline: {breakeven_timeline}
- """,
+### Financial Highlights
+- Projected Revenue Year 3: {projected_revenue}
+- Funding Requirement: {funding_needed}
+- Break-even Timeline: {breakeven_timeline}
+### Competitive Advantage
+{unique_value_proposition}
+""",
+
"market_analysis": """
- ## Market Analysis
+## Market Analysis
- ### Industry Overview
- {industry_overview}
+### Industry Overview
+{industry_overview}
- ### Target Market
- {target_market}
+### Target Market
+{target_market}
- ### Market Size
- - Total Addressable Market (TAM): {tam}
- - Serviceable Addressable Market (SAM): {sam}
- - Serviceable Obtainable Market (SOM): {som}
+### Market Size Analysis
+- **Total Addressable Market (TAM):** {tam}
+- **Serviceable Addressable Market (SAM):** {sam}
+- **Serviceable Obtainable Market (SOM):** {som}
- ### Competitive Landscape
- {competitive_analysis}
- """,
+### Competitive Landscape
+{competitive_analysis}
+### Market Trends
+- Growing demand for digital solutions
+- Increasing adoption in target demographics
+- Favorable regulatory environment
+""",
+
"financial_plan": """
- ## Financial Plan
-
- ### Revenue Model
- {revenue_model}
-
- ### Key Financial Metrics
- - Customer Acquisition Cost (CAC): {cac}
- - Customer Lifetime Value (LTV): {ltv}
- - LTV/CAC Ratio: {ltv_cac_ratio}
- - Monthly Recurring Revenue (MRR): {mrr}
-
- ### Funding Requirements
- {funding_requirements}
- """,
-
+## Financial Plan & Projections
+
+### Revenue Model
+{revenue_model}
+
+### Key Financial Metrics
+- **Customer Acquisition Cost (CAC):** {cac}
+- **Customer Lifetime Value (LTV):** {ltv}
+- **LTV/CAC Ratio:** {ltv_cac_ratio}
+- **Monthly Recurring Revenue (MRR):** {mrr}
+
+### 3-Year Financial Forecast
+| Year | Revenue | Expenses | Net Income |
+|------|---------|----------|------------|
+| 1 | $100K | $150K | ($50K) |
+| 2 | $500K | $400K | $100K |
+| 3 | $1.5M | $800K | $700K |
+
+### Funding Requirements
+{funding_requirements}
+""",
+
"operations_plan": """
- ## Operations Plan
+## Operations & Implementation Plan
- ### Team Structure
- {team_structure}
+### Team Structure
+{team_structure}
- ### Key Processes
- {key_processes}
+### Key Processes
+{key_processes}
- ### Technology Stack
- {technology_stack}
+### Technology Stack
+{technology_stack}
- ### Milestones & Timeline
- {milestones}
- """,
+### Milestones & Timeline
+{milestones}
+
+### Risk Management
+- Market risk mitigation strategies
+- Operational contingency plans
+- Financial risk management
+- Competitive response plans
+"""
}
def generate_business_plan(self, startup_idea: StartupIdea) -> BusinessPlan:
"""Generate comprehensive business plan using RAG context"""
+ try:
+ print(f"π Generating business plan for {startup_idea.name}...")
+
+ # Get relevant context for each section
+ exec_context = self.rag.retrieve_context(
+ f"executive summary for {startup_idea.industry} startup",
+ n_results=3
+ )
+ market_context = self.rag.retrieve_context(
+ f"market analysis {startup_idea.industry} {startup_idea.target_market}",
+ n_results=3
+ )
+ financial_context = self.rag.retrieve_context(
+ f"financial planning funding {startup_idea.industry}",
+ n_results=3
+ )
- # Get relevant context for each section
- exec_context = self.rag.retrieve_context(
- f"executive summary for {startup_idea.industry} startup",
- n_results=3
- )
-
- market_context = self.rag.retrieve_context(
- f"market analysis {startup_idea.industry} {startup_idea.target_market}",
- n_results=3
- )
-
- financial_context = self.rag.retrieve_context(
- f"financial planning funding {startup_idea.industry}",
- n_results=3
- )
-
- # Generate each section
- executive_summary = self._generate_executive_summary(startup_idea, exec_context)
- market_analysis = self._generate_market_analysis(startup_idea, market_context)
- financial_projections = self._generate_financial_projections(startup_idea, financial_context)
-
- # Create business plan object
- business_plan = BusinessPlan(
- executive_summary=executive_summary,
- company_description=self._generate_company_description(startup_idea),
- market_analysis=market_analysis,
- organization_management=self._generate_org_structure(startup_idea),
- service_product_line=startup_idea.solution,
- marketing_sales=self._generate_marketing_plan(startup_idea),
- funding_request=self._generate_funding_request(startup_idea),
- financial_projections=financial_projections
- )
-
- # Store in model data
- self.model_data['business_plan'] = business_plan
+ # Generate each section
+ executive_summary = self._generate_executive_summary(startup_idea, exec_context)
+ market_analysis = self._generate_market_analysis(startup_idea, market_context)
+ financial_projections = self._generate_financial_projections(startup_idea, financial_context)
+
+ # Create business plan object
+ business_plan = BusinessPlan(
+ executive_summary=executive_summary,
+ company_description=self._generate_company_description(startup_idea),
+ market_analysis=market_analysis,
+ organization_management=self._generate_org_structure(startup_idea),
+ service_product_line=startup_idea.solution,
+ marketing_sales=self._generate_marketing_plan(startup_idea),
+ funding_request=self._generate_funding_request(startup_idea),
+ financial_projections=financial_projections
+ )
- return business_plan
+ self.model_data['business_plan'] = business_plan
+ print("β
Business plan generated successfully")
+ return business_plan
+
+ except Exception as e:
+ print(f"β Error generating business plan: {e}")
+ # Return fallback business plan
+ return self._generate_fallback_business_plan(startup_idea)
def _generate_executive_summary(self, idea: StartupIdea, context: List[Dict]) -> str:
"""Generate executive summary with RAG context"""
@@ -598,21 +665,22 @@ class StartupBlueprintGenerator:
mission=f"To solve {idea.problem_statement} for {idea.target_market}",
problem_statement=idea.problem_statement,
solution=idea.solution,
- market_opportunity=f"Significant opportunity in {idea.industry} market",
+ market_opportunity=f"Significant opportunity in the growing {idea.industry} market",
projected_revenue="$1M - $5M",
funding_needed="$250K - $1M",
- breakeven_timeline="18-24 months"
+ breakeven_timeline="18-24 months",
+ unique_value_proposition=idea.unique_value_proposition
)
def _generate_market_analysis(self, idea: StartupIdea, context: List[Dict]) -> str:
"""Generate market analysis with RAG context"""
return self.templates["market_analysis"].format(
- industry_overview=f"The {idea.industry} industry is experiencing significant growth...",
+ industry_overview=f"The {idea.industry} industry is experiencing significant growth driven by digital transformation and changing customer expectations...",
target_market=idea.target_market,
- tam="$10B+",
- sam="$1B+",
- som="$100M+",
- competitive_analysis="Key competitors include... Our differentiation is..."
+ tam="$10B+ (Global market size)",
+ sam="$1B+ (Addressable market)",
+ som="$100M+ (Obtainable market share)",
+ competitive_analysis="Key competitors include established players and emerging startups. Our differentiation lies in our unique approach to solving customer pain points with innovative technology and superior user experience."
)
def _generate_financial_projections(self, idea: StartupIdea, context: List[Dict]) -> Dict[str, Any]:
@@ -635,369 +703,326 @@ class StartupBlueprintGenerator:
"key_metrics": {
"cac": 50,
"ltv": 500,
- "churn_rate": 0.05
+ "churn_rate": 0.05,
+ "gross_margin": 0.80
}
}
def _generate_company_description(self, idea: StartupIdea) -> str:
return f"""
- {idea.name} is a {idea.industry} company that {idea.description}.
-
- Our unique value proposition: {idea.unique_value_proposition}
+**{idea.name}** is an innovative {idea.industry} company that {idea.description.lower()}.
- We serve {idea.target_market} by providing {idea.solution}.
- """
+**Our Mission:** To transform how {idea.target_market} solve {idea.problem_statement.lower()} through cutting-edge technology and exceptional user experience.
- def _generate_org_structure(self, idea: StartupIdea) -> str:
- return """
- ## Organizational Structure
+**Our Solution:** {idea.solution}
- **Legal Structure:** LLC (recommended for flexibility)
+**Unique Value Proposition:** {idea.unique_value_proposition}
- **Founding Team:**
- - CEO/Founder: Vision and strategy
- - CTO/Co-founder: Technology and product
- - VP Marketing: Customer acquisition
+**Target Market:** We serve {idea.target_market} who are looking for better solutions to improve their productivity, efficiency, and outcomes.
+"""
- **Advisory Board:**
- - Industry expert
- - Marketing specialist
- - Finance/funding advisor
- """
+ def _generate_org_structure(self, idea: StartupIdea) -> str:
+ return """
+## Organizational Structure
+
+**Legal Structure:** Delaware C-Corporation (recommended for funding)
+
+**Founding Team:**
+- **CEO/Founder:** Vision, strategy, fundraising, and business development
+- **CTO/Co-founder:** Technology leadership, product development, and technical strategy
+- **VP Marketing:** Customer acquisition, brand building, and market expansion
+
+**Advisory Board:**
+- Industry expert with 15+ years experience
+- Former startup founder with successful exit
+- Marketing specialist with growth expertise
+- Finance/funding advisor with VC connections
+
+**Hiring Plan (Next 12 months):**
+- Senior Software Engineer (Month 3)
+- Sales Manager (Month 6)
+- Customer Success Manager (Month 9)
+- Data Analyst (Month 12)
+"""
def _generate_marketing_plan(self, idea: StartupIdea) -> str:
return f"""
- ## Marketing & Sales Strategy
-
- **Target Customer:** {idea.target_market}
-
- **Marketing Channels:**
- - Content marketing and SEO
- - Social media marketing
- - Partnership marketing
- - Paid advertising (Google, Facebook)
-
- **Sales Strategy:**
- - Direct sales for enterprise customers
- - Self-serve for SMB market
- - Freemium model to drive adoption
- """
+## Marketing & Sales Strategy
+
+**Target Customer Profile:** {idea.target_market}
+
+**Go-to-Market Strategy:**
+1. **Content Marketing:** Thought leadership content, SEO-optimized blog posts, industry reports
+2. **Digital Marketing:** Google Ads, LinkedIn campaigns, social media presence
+3. **Partnership Marketing:** Strategic alliances with complementary businesses
+4. **Sales Strategy:** Consultative selling approach with demo-driven process
+
+**Customer Acquisition Channels:**
+- **Inbound Marketing (40%):** SEO, content marketing, organic social media
+- **Paid Advertising (30%):** Google Ads, LinkedIn Ads, industry publications
+- **Partnerships (20%):** Referral programs, channel partnerships, integrations
+- **Direct Sales (10%):** Outbound prospecting, trade shows, industry events
+
+**Pricing Strategy:**
+- Freemium model to drive adoption
+- Tiered subscription plans ($29/month, $99/month, $299/month)
+- Enterprise custom pricing for large accounts
+
+**Sales Process:**
+1. Lead generation through marketing channels
+2. Qualification and discovery calls
+3. Product demonstration and trial
+4. Proposal and negotiation
+5. Contract signing and onboarding
+"""
def _generate_funding_request(self, idea: StartupIdea) -> str:
return """
- ## Funding Request
-
- **Funding Needed:** $500,000 - $1,000,000
-
- **Use of Funds:**
- - Product development (40%)
- - Marketing and customer acquisition (35%)
- - Team expansion (20%)
- - Operations and overhead (5%)
-
- **Investment Terms:**
- - Seeking seed round investment
- - Equity stake: 15-25%
- - Board seat for lead investor
- """
-
- def save_model(self, filepath: str = "startup_blueprint_model.joblib"):
- """Save the generator model and data"""
- model_data = {
- 'templates': self.templates,
- 'generated_data': self.model_data,
- 'timestamp': datetime.now().isoformat()
- }
- joblib.dump(model_data, filepath)
- return filepath
-
- @classmethod
- def load_model(cls, filepath: str, rag_system: RAGSystem):
- """Load a saved generator model"""
- model_data = joblib.load(filepath)
- generator = cls(rag_system)
- generator.templates = model_data['templates']
- generator.model_data = model_data['generated_data']
- return generator
-
-# Initialize the blueprint generator
-blueprint_generator = StartupBlueprintGenerator(rag_system)
-print("Startup Blueprint Generator initialized successfully!")
+## Funding Request
+
+**Funding Needed:** $500,000 - $1,000,000 (Seed Round)
+
+**Use of Funds:**
+- **Product Development (40% - $400K):** Engineering team, infrastructure, R&D
+- **Marketing & Customer Acquisition (35% - $350K):** Digital marketing, content, events
+- **Team Expansion (20% - $200K):** Key hires, recruiting, onboarding
+- **Operations & Overhead (5% - $50K):** Office, legal, accounting, insurance
+
+**Investment Terms:**
+- Seeking experienced angel investors and seed VCs
+- Target equity stake: 15-25%
+- Board composition: 2 founders, 1 investor, 1 independent
+- Preferred stock with standard liquidation preferences
+
+**Projected ROI:**
+- 3-year revenue target: $1.5M - $5M
+- Expected valuation at Series A: $10M - $25M
+- Potential exit opportunities: Strategic acquisition or IPO in 5-7 years
+
+**Milestones for Next Round:**
+- $100K+ Monthly Recurring Revenue (MRR)
+- 1,000+ paying customers
+- Proven unit economics (LTV/CAC > 3:1)
+- Strong product-market fit metrics
+"""
-"""## π Flashcards Generation System"""
+ def _generate_fallback_business_plan(self, idea: StartupIdea) -> BusinessPlan:
+ """Generate basic business plan if RAG fails"""
+ return BusinessPlan(
+ executive_summary=f"**{idea.name}** addresses {idea.problem_statement} in the {idea.industry} industry through {idea.solution}.",
+ company_description=f"{idea.name} serves {idea.target_market} with innovative solutions.",
+ market_analysis=f"The {idea.industry} market presents significant opportunities for growth and innovation.",
+ organization_management="Founding team with complementary skills in technology and business.",
+ service_product_line=idea.solution,
+ marketing_sales="Multi-channel customer acquisition strategy focused on digital marketing.",
+ funding_request="Seeking seed funding to accelerate product development and market expansion.",
+ financial_projections={
+ "revenue_forecast": {"year_1": 100000, "year_2": 500000, "year_3": 1500000},
+ "key_metrics": {"cac": 50, "ltv": 500}
+ }
+ )
+# Flashcards Generator
class FlashcardsGenerator:
- """
- Generate learning flashcards from startup knowledge
- using RAG system for context-aware content
- """
-
+ """Generate learning flashcards from startup knowledge"""
+
def __init__(self, rag_system: RAGSystem):
self.rag = rag_system
self.flashcards_db = []
- self.categories = [
- 'Market Research', 'Business Planning', 'Legal Setup',
- 'Financial Management', 'Team Building', 'Marketing',
- 'Operations', 'Funding', 'Product Development'
- ]
def generate_flashcards(self, topic: str, count: int = 10) -> List[Flashcard]:
"""Generate flashcards for a specific topic"""
-
- # Get relevant context from RAG
- context = self.rag.retrieve_context(f"{topic} startup knowledge", n_results=5)
-
- # Generate flashcards based on context
- flashcards = []
-
- # Define topic-specific Q&A patterns
- qa_patterns = self._get_qa_patterns(topic)
-
- for i, pattern in enumerate(qa_patterns[:count]):
- flashcard = Flashcard(
- id=str(uuid.uuid4()),
- front=pattern['question'],
- back=pattern['answer'],
- category=topic,
- difficulty=pattern['difficulty'],
- tags=pattern['tags']
- )
- flashcards.append(flashcard)
-
- # Store generated flashcards
- self.flashcards_db.extend(flashcards)
-
- return flashcards
+ try:
+ print(f"π Generating {count} flashcards for {topic}...")
+
+ # Get relevant context from RAG
+ context = self.rag.retrieve_context(f"{topic} startup knowledge", n_results=5)
+
+ # Get topic-specific Q&A patterns
+ qa_patterns = self._get_qa_patterns(topic)
+
+ flashcards = []
+ for i, pattern in enumerate(qa_patterns[:count]):
+ flashcard = Flashcard(
+ id=str(uuid.uuid4()),
+ front=pattern['question'],
+ back=pattern['answer'],
+ category=topic,
+ difficulty=pattern['difficulty'],
+ tags=pattern['tags']
+ )
+ flashcards.append(flashcard)
+
+ self.flashcards_db.extend(flashcards)
+ print(f"β
Generated {len(flashcards)} flashcards")
+ return flashcards
+
+ except Exception as e:
+ print(f"β Error generating flashcards: {e}")
+ return []
def _get_qa_patterns(self, topic: str) -> List[Dict]:
"""Get question-answer patterns for different topics"""
-
patterns = {
- 'Market Research': [
+ 'SaaS': [
{
- 'question': 'What are the three types of market sizing?',
- 'answer': 'TAM (Total Addressable Market), SAM (Serviceable Addressable Market), and SOM (Serviceable Obtainable Market)',
+ 'question': 'What are the key SaaS metrics every founder should track?',
+ 'answer': 'Monthly Recurring Revenue (MRR), Annual Recurring Revenue (ARR), Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), Churn Rate, and Net Promoter Score (NPS)',
'difficulty': 'Medium',
- 'tags': ['market-sizing', 'analysis']
+ 'tags': ['saas', 'metrics', 'kpi']
},
{
- 'question': 'What is the primary goal of idea validation?',
- 'answer': 'To prove that there is genuine demand for your product/service before building it',
- 'difficulty': 'Easy',
- 'tags': ['validation', 'product-market-fit']
- },
- {
- 'question': 'What key metrics should you track for customer validation?',
- 'answer': 'Customer Acquisition Cost (CAC), Customer Lifetime Value (LTV), market penetration rate, and customer feedback scores',
+ 'question': 'What is the ideal LTV/CAC ratio for a SaaS business?',
+ 'answer': 'The ideal LTV/CAC ratio is 3:1 or higher. This means each customer should generate at least 3 times more revenue than it costs to acquire them.',
'difficulty': 'Hard',
- 'tags': ['metrics', 'validation', 'kpi']
- }
+ 'tags': ['saas', 'unit-economics', 'metrics']
+ },
],
-
- 'Business Planning': [
+ 'Market Research': [
{
- 'question': 'What are the 8 key components of a business plan?',
- 'answer': 'Executive Summary, Company Description, Market Analysis, Organization & Management, Service/Product Line, Marketing & Sales, Financial Projections, Funding Request',
- 'difficulty': 'Medium',
- 'tags': ['business-plan', 'structure']
+ 'question': 'What are the three types of market sizing?',
+ 'answer': 'TAM (Total Addressable Market), SAM (Serviceable Addressable Market), and SOM (Serviceable Obtainable Market)',
+ 'difficulty': 'Medium',
+ 'tags': ['market-sizing', 'analysis']
},
{
- 'question': 'What should an executive summary include?',
- 'answer': 'Mission, product overview, key objectives, competitive advantages, and financial highlights',
+ 'question': 'What is the primary goal of customer validation?',
+ 'answer': 'To prove that there is genuine demand for your product/service before building it, reducing the risk of building something nobody wants',
'difficulty': 'Easy',
- 'tags': ['executive-summary', 'planning']
- }
- ],
-
- 'Financial Management': [
- {
- 'question': 'What are the main startup funding sources?',
- 'answer': 'Bootstrapping, Friends & Family, Angel Investors, Venture Capital, Crowdfunding, Loans & Grants',
- 'difficulty': 'Easy',
- 'tags': ['funding', 'investment']
+ 'tags': ['validation', 'product-market-fit']
},
- {
- 'question': 'What is the LTV/CAC ratio and why is it important?',
- 'answer': 'Lifetime Value to Customer Acquisition Cost ratio. It should be 3:1 or higher to ensure profitable unit economics',
- 'difficulty': 'Hard',
- 'tags': ['metrics', 'unit-economics']
- }
],
-
- 'Legal Setup': [
+ 'FinTech': [
{
- 'question': 'What are the main business structure options?',
- 'answer': 'Sole Proprietorship, Partnership, LLC (Limited Liability Company), Corporation (C-Corp, S-Corp)',
- 'difficulty': 'Easy',
- 'tags': ['legal-structure', 'incorporation']
+ 'question': 'What are the main regulatory considerations for FinTech startups?',
+ 'answer': 'KYC (Know Your Customer), AML (Anti-Money Laundering), PCI DSS compliance, data privacy regulations (GDPR, CCPA), and industry-specific regulations like PSD2 in Europe',
+ 'difficulty': 'Hard',
+ 'tags': ['fintech', 'compliance', 'regulation']
},
+ ],
+ 'E-commerce': [
{
- 'question': 'What intellectual property protections are available?',
- 'answer': 'Trademarks (brand names/logos), Patents (inventions), Copyrights (creative works), Trade Secrets (proprietary processes)',
+ 'question': 'What are the key conversion metrics for e-commerce?',
+ 'answer': 'Conversion rate, Average Order Value (AOV), Cart Abandonment Rate, Customer Acquisition Cost (CAC), and Return on Ad Spend (ROAS)',
'difficulty': 'Medium',
- 'tags': ['ip', 'protection']
- }
+ 'tags': ['ecommerce', 'conversion', 'metrics']
+ },
]
}
+
+ # Default patterns for any topic
+ default_patterns = [
+ {
+ 'question': 'What are the main startup funding stages?',
+ 'answer': 'Pre-seed (idea stage), Seed ($100K-$2M), Series A ($2M-$15M), Series B ($10M-$50M), Series C+ ($30M+), and IPO/Exit',
+ 'difficulty': 'Easy',
+ 'tags': ['funding', 'investment-stages']
+ },
+ {
+ 'question': 'What is product-market fit?',
+ 'answer': 'The degree to which a product satisfies a strong market demand. Indicators include high customer retention, organic growth, and customers being very disappointed if they could no longer use the product.',
+ 'difficulty': 'Medium',
+ 'tags': ['product-market-fit', 'validation']
+ },
+ ]
+
+ topic_patterns = patterns.get(topic, default_patterns)
+ return topic_patterns + default_patterns[:max(0, 10 - len(topic_patterns))]
- return patterns.get(topic, [])
-
- def get_flashcards_by_category(self, category: str) -> List[Flashcard]:
- """Retrieve flashcards by category"""
- return [fc for fc in self.flashcards_db if fc.category == category]
-
- def get_flashcards_by_difficulty(self, difficulty: str) -> List[Flashcard]:
- """Retrieve flashcards by difficulty level"""
- return [fc for fc in self.flashcards_db if fc.difficulty == difficulty]
-
- def export_flashcards(self, format: str = 'json') -> str:
- """Export flashcards in various formats"""
-
- if format == 'json':
- flashcards_data = []
- for fc in self.flashcards_db:
- flashcards_data.append({
- 'id': fc.id,
- 'front': fc.front,
- 'back': fc.back,
- 'category': fc.category,
- 'difficulty': fc.difficulty,
- 'tags': fc.tags
- })
- return json.dumps(flashcards_data, indent=2)
-
- elif format == 'csv':
- import csv
- import io
-
- output = io.StringIO()
- writer = csv.writer(output)
- writer.writerow(['ID', 'Front', 'Back', 'Category', 'Difficulty', 'Tags'])
-
- for fc in self.flashcards_db:
- writer.writerow([
- fc.id, fc.front, fc.back, fc.category,
- fc.difficulty, ','.join(fc.tags)
- ])
-
- return output.getvalue()
-
- else:
- raise ValueError(f"Unsupported format: {format}")
-
-# Initialize flashcards generator
-flashcards_gen = FlashcardsGenerator(rag_system)
-
-# Generate sample flashcards
-print("Generating sample flashcards...")
-sample_flashcards = flashcards_gen.generate_flashcards('Market Research', 3)
-
-for fc in sample_flashcards:
- print(f"\n**Q:** {fc.front}")
- print(f"**A:** {fc.back}")
- print(f"**Category:** {fc.category} | **Difficulty:** {fc.difficulty}")
-
-"""## πΊοΈ Roadmap Generation System"""
-
+# Roadmap Generator
class RoadmapGenerator:
- """
- Generate visual roadmaps for startup milestones and timelines
- using RAG system for industry-specific insights
- """
-
+ """Generate visual roadmaps for startup milestones and timelines"""
+
def __init__(self, rag_system: RAGSystem):
self.rag = rag_system
self.roadmap_templates = self._load_roadmap_templates()
def _load_roadmap_templates(self) -> Dict[str, List[Dict]]:
"""Load roadmap templates for different startup phases"""
-
return {
'pre_launch': [
{
'phase': 'Ideation & Validation',
'duration': '1-2 months',
'milestones': [
- 'Problem identification and validation',
- 'Market research and competitive analysis',
- 'Initial customer interviews',
- 'Concept validation and pivot decisions'
+ 'Problem identification and customer interviews',
+ 'Market research and competitive analysis',
+ 'Initial MVP wireframes and user testing',
+ 'Business model validation and pricing research'
]
},
{
- 'phase': 'Business Planning',
+ 'phase': 'Business Planning',
'duration': '2-3 months',
'milestones': [
- 'Business model development',
- 'Financial projections and planning',
- 'Legal structure setup',
- 'Intellectual property protection'
+ 'Comprehensive business plan development',
+ 'Financial projections and funding strategy',
+ 'Legal structure setup and IP protection',
+ 'Founding team assembly and equity agreements'
]
},
{
'phase': 'MVP Development',
- 'duration': '3-6 months',
+ 'duration': '3-6 months',
'milestones': [
- 'Technical architecture design',
- 'Core feature development',
- 'Initial user testing',
- 'Product iteration and refinement'
+ 'Technical architecture and tech stack selection',
+ 'Core feature development and testing',
+ 'User feedback integration and product iteration',
+ 'Beta user recruitment and onboarding'
]
}
],
-
'launch': [
{
'phase': 'Go-to-Market Preparation',
'duration': '1-2 months',
'milestones': [
- 'Brand identity and website development',
- 'Marketing strategy and content creation',
- 'Sales process and pricing strategy',
- 'Launch campaign planning'
+ 'Brand identity and marketing website development',
+ 'Content marketing strategy and asset creation',
+ 'Sales process design and CRM implementation',
+ 'Launch campaign planning and PR strategy'
]
},
{
'phase': 'Soft Launch',
'duration': '2-3 months',
'milestones': [
- 'Beta user acquisition',
- 'Product feedback collection',
- 'Initial traction metrics',
- 'Process optimization'
+ 'Limited beta release to select customers',
+ 'Customer feedback collection and analysis',
+ 'Product refinement and bug fixes',
+ 'Initial traction metrics and KPI tracking'
]
},
{
- 'phase': 'Full Launch',
+ 'phase': 'Full Market Launch',
'duration': '3-6 months',
'milestones': [
- 'Public launch and PR campaign',
- 'Customer acquisition scaling',
- 'Revenue generation',
- 'Team expansion'
+ 'Public launch and press release distribution',
+ 'Customer acquisition campaign execution',
+ 'Revenue generation and growth tracking',
+ 'Team expansion and operational scaling'
]
}
],
-
'growth': [
{
- 'phase': 'Market Traction',
+ 'phase': 'Product-Market Fit',
'duration': '6-12 months',
'milestones': [
- 'Product-market fit achievement',
- 'Sustainable customer acquisition',
- 'Revenue growth and profitability path',
- 'Operational efficiency optimization'
+ 'Strong retention and engagement metrics',
+ 'Sustainable customer acquisition channels',
+ 'Positive unit economics and profitability path',
+ 'Product expansion and feature development'
]
},
{
- 'phase': 'Scaling',
- 'duration': '12-24 months',
+ 'phase': 'Scale & Expansion',
+ 'duration': '12-24 months',
'milestones': [
- 'Series A funding preparation',
- 'Team scaling and culture development',
- 'Product expansion and feature development',
- 'Market expansion opportunities'
+ 'Series A fundraising and investor relations',
+ 'Market expansion and new customer segments',
+ 'Team scaling and organizational development',
+ 'Strategic partnerships and business development'
]
}
]
@@ -1005,76 +1030,86 @@ class RoadmapGenerator:
def generate_roadmap(self, startup_idea: StartupIdea, phases: List[str] = None) -> Dict[str, Any]:
"""Generate customized roadmap based on startup idea"""
+ try:
+ print(f"πΊοΈ Generating roadmap for {startup_idea.name}...")
+
+ if phases is None:
+ phases = ['pre_launch', 'launch', 'growth']
+
+ # Get industry-specific context
+ context = self.rag.retrieve_context(
+ f"startup roadmap {startup_idea.industry} milestones timeline",
+ n_results=3
+ )
- if phases is None:
- phases = ['pre_launch', 'launch', 'growth']
-
- # Get industry-specific context
- context = self.rag.retrieve_context(
- f"startup roadmap {startup_idea.industry} milestones timeline",
- n_results=3
- )
-
- roadmap = {
- 'startup_name': startup_idea.name,
- 'industry': startup_idea.industry,
- 'phases': [],
- 'total_timeline': '18-36 months',
- 'key_metrics': self._get_key_metrics(startup_idea),
- 'context_insights': [ctx['content'][:200] + '...' for ctx in context[:2]]
- }
-
- current_month = 0
-
- for phase_name in phases:
- if phase_name in self.roadmap_templates:
- phase_data = self.roadmap_templates[phase_name].copy()
-
- # Customize based on industry and context
- customized_phases = self._customize_phases(phase_data, startup_idea, context)
-
- for phase in customized_phases:
- phase['start_month'] = current_month
- phase['end_month'] = current_month + self._parse_duration(phase['duration'])
- current_month = phase['end_month']
-
- roadmap['phases'].append(phase)
+ roadmap = {
+ 'startup_name': startup_idea.name,
+ 'industry': startup_idea.industry,
+ 'phases': [],
+ 'total_timeline': '18-36 months',
+ 'key_metrics': self._get_key_metrics(startup_idea),
+ 'context_insights': [ctx['content'][:200] + '...' for ctx in context[:2]]
+ }
- return roadmap
+ current_month = 0
+ for phase_name in phases:
+ if phase_name in self.roadmap_templates:
+ phase_data = self.roadmap_templates[phase_name].copy()
+
+ # Customize based on industry
+ customized_phases = self._customize_phases(phase_data, startup_idea, context)
+
+ for phase in customized_phases:
+ phase['start_month'] = current_month
+ phase['end_month'] = current_month + self._parse_duration(phase['duration'])
+ current_month = phase['end_month']
+ roadmap['phases'].append(phase)
+
+ print("β
Roadmap generated successfully")
+ return roadmap
+
+ except Exception as e:
+ print(f"β Error generating roadmap: {e}")
+ return self._generate_fallback_roadmap(startup_idea)
def _customize_phases(self, phases: List[Dict], idea: StartupIdea, context: List[Dict]) -> List[Dict]:
"""Customize roadmap phases based on startup specifics"""
-
customized = []
-
+
for phase in phases:
customized_phase = phase.copy()
-
+
# Add industry-specific considerations
if idea.industry.lower() in ['saas', 'software', 'tech']:
if 'MVP Development' in phase['phase']:
customized_phase['milestones'].extend([
- 'Cloud infrastructure setup',
- 'Security and compliance implementation',
- 'API development and documentation'
+ 'Cloud infrastructure and security implementation',
+ 'API development and third-party integrations',
+ 'Analytics and monitoring setup'
])
-
+
elif idea.industry.lower() in ['ecommerce', 'retail']:
if 'Go-to-Market' in phase['phase']:
customized_phase['milestones'].extend([
- 'Inventory management system',
- 'Payment processing integration',
- 'Shipping and fulfillment setup'
+ 'Inventory management and fulfillment setup',
+ 'Payment processing and fraud prevention',
+ 'Customer service and returns process'
+ ])
+
+ elif idea.industry.lower() in ['fintech', 'financial']:
+ if 'MVP Development' in phase['phase']:
+ customized_phase['milestones'].extend([
+ 'Regulatory compliance and security audits',
+ 'KYC/AML implementation',
+ 'Banking partnerships and API integrations'
])
customized.append(customized_phase)
-
+
return customized
def _parse_duration(self, duration_str: str) -> int:
"""Parse duration string to months"""
- # Extract first number from duration string
- import re
match = re.search(r'(\d+)', duration_str)
return int(match.group(1)) if match else 1
@@ -1082,347 +1117,488 @@ class RoadmapGenerator:
"""Get key metrics to track for the startup"""
base_metrics = [
'Customer Acquisition Cost (CAC)',
- 'Customer Lifetime Value (LTV)',
+ 'Customer Lifetime Value (LTV)',
'Monthly Recurring Revenue (MRR)',
'User Engagement Rate',
- 'Market Share'
+ 'Market Share Growth'
]
-
+
# Add industry-specific metrics
if idea.industry.lower() in ['saas', 'software']:
base_metrics.extend([
'Monthly Active Users (MAU)',
'Churn Rate',
- 'Net Promoter Score (NPS)'
+ 'Net Promoter Score (NPS)',
+ 'Feature Adoption Rate'
])
+ elif idea.industry.lower() in ['ecommerce']:
+ base_metrics.extend([
+ 'Conversion Rate',
+ 'Average Order Value (AOV)',
+ 'Cart Abandonment Rate',
+ 'Return on Ad Spend (ROAS)'
+ ])
+
+ return base_metrics[:8] # Limit to 8 key metrics
- return base_metrics
-
- def create_visual_roadmap(self, roadmap_data: Dict[str, Any]) -> go.Figure:
- """Create visual timeline using Plotly"""
-
- fig = go.Figure()
-
- colors = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b']
-
- for i, phase in enumerate(roadmap_data['phases']):
- fig.add_trace(go.Scatter(
- x=[phase['start_month'], phase['end_month']],
- y=[i, i],
- mode='lines+markers',
- name=phase['phase'],
- line=dict(color=colors[i % len(colors)], width=8),
- marker=dict(size=12),
- hovertemplate=f"{phase['phase']}
" +
- f"Duration: {phase['duration']}
" +
- f"Milestones: {len(phase['milestones'])}"
- ))
-
- fig.update_layout(
- title=f"Startup Roadmap: {roadmap_data['startup_name']}",
- xaxis_title="Timeline (Months)",
- yaxis_title="Phases",
- yaxis=dict(
- tickmode='array',
- tickvals=list(range(len(roadmap_data['phases']))),
- ticktext=[phase['phase'] for phase in roadmap_data['phases']]
- ),
- height=500,
- showlegend=False
- )
-
- return fig
-
- def export_roadmap(self, roadmap_data: Dict[str, Any], format: str = 'json') -> str:
- """Export roadmap in various formats"""
-
- if format == 'json':
- return json.dumps(roadmap_data, indent=2)
+ def _generate_fallback_roadmap(self, idea: StartupIdea) -> Dict[str, Any]:
+ """Generate basic roadmap if main generation fails"""
+ return {
+ 'startup_name': idea.name,
+ 'industry': idea.industry,
+ 'phases': [
+ {
+ 'phase': 'Planning & Validation',
+ 'duration': '1-2 months',
+ 'milestones': ['Market research', 'Business plan', 'MVP design'],
+ 'start_month': 0,
+ 'end_month': 2
+ },
+ {
+ 'phase': 'Development & Launch',
+ 'duration': '3-6 months',
+ 'milestones': ['Product development', 'Testing', 'Market launch'],
+ 'start_month': 2,
+ 'end_month': 8
+ }
+ ],
+ 'total_timeline': '6-12 months',
+ 'key_metrics': ['Revenue', 'Customers', 'Growth Rate']
+ }
- elif format == 'markdown':
- md_content = f"# Startup Roadmap: {roadmap_data['startup_name']}\n\n"
- md_content += f"**Industry:** {roadmap_data['industry']}\n"
+ def export_roadmap(self, roadmap_data: Dict[str, Any], format: str = 'markdown') -> str:
+ """Export roadmap in markdown format"""
+ if format == 'markdown':
+ md_content = f"# πΊοΈ Startup Roadmap: {roadmap_data['startup_name']}\n\n"
+ md_content += f"**Industry:** {roadmap_data['industry']} \n"
md_content += f"**Total Timeline:** {roadmap_data['total_timeline']}\n\n"
-
+
for phase in roadmap_data['phases']:
md_content += f"## {phase['phase']}\n"
- md_content += f"**Duration:** {phase['duration']}\n"
+ md_content += f"**Duration:** {phase['duration']} \n"
md_content += f"**Timeline:** Months {phase['start_month']}-{phase['end_month']}\n\n"
md_content += "**Key Milestones:**\n"
-
for milestone in phase['milestones']:
md_content += f"- {milestone}\n"
-
md_content += "\n"
-
+
+ # Add key metrics section
+ if 'key_metrics' in roadmap_data:
+ md_content += "## π Key Metrics to Track\n"
+ for metric in roadmap_data['key_metrics']:
+ md_content += f"- {metric}\n"
+
return md_content
-
else:
- raise ValueError(f"Unsupported format: {format}")
-
-# Initialize roadmap generator
-roadmap_gen = RoadmapGenerator(rag_system)
-
-# Generate sample roadmap
-sample_idea = StartupIdea(
- name="EcoTrack",
- description="Sustainability tracking platform for businesses",
- industry="SaaS",
- target_market="SMB and enterprise companies",
- problem_statement="Companies struggle to track and report sustainability metrics",
- solution="Automated sustainability tracking and reporting platform",
- unique_value_proposition="Real-time sustainability insights with automated compliance reporting"
-)
-
-sample_roadmap = roadmap_gen.generate_roadmap(sample_idea)
-print(f"Generated roadmap for {sample_roadmap['startup_name']} with {len(sample_roadmap['phases'])} phases")
-
-"""## π Gradio Interface & Model Hosting"""
-
-def create_gradio_interface():
- """Create Gradio interface for the Startup Blueprint Generator"""
-
- # Save model before creating interface
- model_path = blueprint_generator.save_model("startup_blueprint_model.joblib")
- print(f"Model saved to: {model_path}")
-
- def generate_startup_blueprint(name, industry, target_market, problem, solution, value_prop):
- """Main function for Gradio interface"""
+ return json.dumps(roadmap_data, indent=2)
- if not all([name, industry, problem, solution]):
- return "Please fill in all required fields.", "", "", ""
+# Initialize Global Systems
+print("π Starting AI Startup Roadmap Generator...")
+# Initialize RAG system
+try:
+ rag_system = RAGSystem()
+ rag_system.initialize_collection()
+
+ # Populate knowledge base if empty
+ if rag_system.collection and rag_system.collection.count() == 0:
+ print("π Populating knowledge base...")
+ chunks_added = rag_system.add_documents(STARTUP_KNOWLEDGE_BASE, KNOWLEDGE_METADATA)
+ print(f"β
Added {chunks_added} knowledge chunks to database")
+ else:
+ print(f"π Using existing knowledge base with {rag_system.collection.count() if rag_system.collection else 0} documents")
+
+except Exception as e:
+ print(f"β Error initializing RAG system: {e}")
+ print("π Creating fallback system...")
+ rag_system = None
+
+# Initialize generators
+try:
+ blueprint_generator = StartupBlueprintGenerator(rag_system) if rag_system else None
+ flashcards_gen = FlashcardsGenerator(rag_system) if rag_system else None
+ roadmap_gen = RoadmapGenerator(rag_system) if rag_system else None
+ print("β
All generators initialized successfully")
+except Exception as e:
+ print(f"β Error initializing generators: {e}")
+
+# Main Gradio Interface Functions
+def generate_startup_blueprint(name, industry, target_market, problem, solution, value_prop):
+ """Main function for Gradio interface"""
+
+ if not all([name, industry, problem, solution]):
+ return (
+ "β **Error:** Please fill in all required fields (Name, Industry, Problem, Solution).",
+ "", "", ""
+ )
+
+ try:
# Create startup idea object
idea = StartupIdea(
name=name,
description=f"{name} - {solution}",
industry=industry,
- target_market=target_market,
+ target_market=target_market or f"{industry} customers",
problem_statement=problem,
solution=solution,
- unique_value_proposition=value_prop or "Unique solution in the market"
+ unique_value_proposition=value_prop or "Innovative solution with unique market approach"
)
-
+
+ print(f"π Processing blueprint request for {name}")
+
# Generate business plan
- business_plan = blueprint_generator.generate_business_plan(idea)
-
+ if blueprint_generator:
+ business_plan = blueprint_generator.generate_business_plan(idea)
+ business_plan_text = business_plan.executive_summary
+ else:
+ business_plan_text = f"**Business Plan for {name}**\n\nExecutive Summary: {name} addresses {problem} in the {industry} market through {solution}."
+
# Generate flashcards
- flashcards = flashcards_gen.generate_flashcards(industry, 5)
- flashcards_text = "\n".join([f"**Q:** {fc.front}\n**A:** {fc.back}\n" for fc in flashcards])
-
+ if flashcards_gen:
+ flashcards = flashcards_gen.generate_flashcards(industry, 5)
+ flashcards_text = "\n\n".join([
+ f"**Q:** {fc.front}\n**A:** {fc.back}"
+ for fc in flashcards
+ ])
+ else:
+ flashcards_text = f"**Learning Materials for {industry}**\n\n**Q:** What is product-market fit?\n**A:** The degree to which a product satisfies strong market demand."
+
# Generate roadmap
- roadmap = roadmap_gen.generate_roadmap(idea)
- roadmap_text = roadmap_gen.export_roadmap(roadmap, 'markdown')
-
+ if roadmap_gen:
+ roadmap = roadmap_gen.generate_roadmap(idea)
+ roadmap_text = roadmap_gen.export_roadmap(roadmap, 'markdown')
+ else:
+ roadmap_text = f"# Roadmap for {name}\n\n## Phase 1: Planning (Months 1-2)\n- Market research\n- Business plan development\n\n## Phase 2: Development (Months 3-6)\n- MVP development\n- User testing"
+
# Create summary
summary = f"""
- # π Startup Blueprint Generated Successfully!
+# π Startup Blueprint Generated Successfully!
- **Startup:** {name}
- **Industry:** {industry}
- **Target Market:** {target_market}
+**Startup Name:** {name}
+**Industry:** {industry}
+**Target Market:** {target_market or f"{industry} customers"}
- ## π Validation Score: 78/100
+## π Quick Assessment Score: 85/100
- **Strengths:**
- - Clear problem identification
- - Well-defined target market
- - Strong value proposition
+### β
Strengths Identified:
+- Clear problem identification and market focus
+- Well-defined solution approach
+- Strong industry positioning
+- Comprehensive value proposition
- **Areas for Improvement:**
- - Conduct more market research
- - Validate with potential customers
- - Refine pricing strategy
- """
+### π‘ Recommendations for Success:
+1. **Validate Early:** Conduct 50+ customer interviews to validate assumptions
+2. **Build MVP:** Start with core features and iterate based on user feedback
+3. **Track Metrics:** Focus on Customer Acquisition Cost (CAC) and Lifetime Value (LTV)
+4. **Secure Funding:** Prepare for $250K-$1M seed round based on traction
- return summary, business_plan.executive_summary, flashcards_text, roadmap_text
+### π― Next Steps:
+- Review the detailed business plan below
+- Study the learning flashcards for key concepts
+- Follow the startup roadmap timeline
+- Begin customer validation interviews
- def generate_flashcards_only(category):
- """Generate flashcards for specific category"""
- flashcards = flashcards_gen.generate_flashcards(category, 5)
- return "\n".join([f"**Q:** {fc.front}\n**A:** {fc.back}\n" for fc in flashcards])
+*Generated on {datetime.now().strftime("%B %d, %Y at %I:%M %p")}*
+"""
+
+ print(f"β
Blueprint generated successfully for {name}")
+ return summary, business_plan_text, flashcards_text, roadmap_text
+
+ except Exception as e:
+ error_msg = f"β **Error generating blueprint:** {str(e)}\n\nPlease try again or contact support if the issue persists."
+ print(f"β Error in generate_startup_blueprint: {e}")
+ return error_msg, "", "", ""
+
+def generate_flashcards_only(category):
+ """Generate flashcards for specific category"""
+ try:
+ if flashcards_gen:
+ flashcards = flashcards_gen.generate_flashcards(category, 8)
+ return "\n\n".join([
+ f"**Q:** {fc.front}\n**A:** {fc.back}\n*Difficulty: {fc.difficulty}*"
+ for fc in flashcards
+ ])
+ else:
+ return f"**Sample {category} Flashcards:**\n\n**Q:** What is customer validation?\n**A:** The process of testing your business idea with real potential customers to ensure market demand exists."
+ except Exception as e:
+ return f"β Error generating flashcards: {str(e)}"
- def generate_roadmap_only(startup_name, industry_type):
- """Generate roadmap for specific startup"""
+def generate_roadmap_only(startup_name, industry_type):
+ """Generate roadmap for specific startup"""
+ try:
idea = StartupIdea(
name=startup_name or "Sample Startup",
description="Sample description",
industry=industry_type,
target_market="General market",
- problem_statement="Sample problem",
- solution="Sample solution",
- unique_value_proposition="Sample value prop"
+ problem_statement="Market problem to solve",
+ solution="Innovative solution approach",
+ unique_value_proposition="Unique market positioning"
)
+
+ if roadmap_gen:
+ roadmap = roadmap_gen.generate_roadmap(idea)
+ return roadmap_gen.export_roadmap(roadmap, 'markdown')
+ else:
+ return f"# Roadmap for {startup_name or 'Your Startup'}\n\n## Phase 1: Foundation\n- Market research and validation\n- Business plan development\n- Team formation\n\n## Phase 2: Development\n- MVP creation\n- User testing\n- Product refinement"
+ except Exception as e:
+ return f"β Error generating roadmap: {str(e)}"
+
+# Create Gradio Interface
+print("π¨ Creating Gradio interface...")
+
+# Custom CSS for better styling
+custom_css = """
+.gradio-container {
+ max-width: 1200px !important;
+}
+.main-header {
+ text-align: center;
+ background: linear-gradient(90deg, #667eea 0%, #764ba2 100%);
+ -webkit-background-clip: text;
+ -webkit-text-fill-color: transparent;
+ background-clip: text;
+ font-size: 2.5em;
+ font-weight: bold;
+ margin-bottom: 0.5em;
+}
+.feature-box {
+ border: 1px solid #e1e5e9;
+ border-radius: 8px;
+ padding: 1rem;
+ margin: 0.5rem 0;
+ background: #f8f9fa;
+}
+"""
- roadmap = roadmap_gen.generate_roadmap(idea)
- return roadmap_gen.export_roadmap(roadmap, 'markdown')
-
- # Create Gradio interface
- with gr.Blocks(title="π Startup Blueprint Generator", theme=gr.themes.Soft()) as interface:
-
- gr.Markdown("""
- # π Startup Blueprint Generator with RAG
-
- **AI-Powered Comprehensive Startup Planning Platform**
-
- Generate complete startup blueprints including business plans, learning materials, and roadmaps using advanced RAG technology.
- """)
-
- with gr.Tabs():
-
- # Main Blueprint Generator Tab
- with gr.TabItem("π’ Complete Blueprint"):
-
- with gr.Row():
- with gr.Column():
- gr.Markdown("### π Startup Information")
- startup_name = gr.Textbox(label="Startup Name", placeholder="Enter your startup name")
- industry = gr.Dropdown(
- choices=["SaaS", "E-commerce", "FinTech", "HealthTech", "EdTech", "Other"],
- label="Industry",
- value="SaaS"
- )
- target_market = gr.Textbox(
- label="Target Market",
- placeholder="Describe your target customers",
- lines=2
- )
-
- with gr.Column():
- gr.Markdown("### π‘ Problem & Solution")
- problem_statement = gr.Textbox(
- label="Problem Statement",
- placeholder="What problem does your startup solve?",
- lines=3
- )
- solution = gr.Textbox(
- label="Solution",
- placeholder="How does your product/service solve the problem?",
- lines=3
- )
- value_proposition = gr.Textbox(
- label="Unique Value Proposition",
- placeholder="What makes your solution unique?",
- lines=2
- )
-
- generate_btn = gr.Button("π Generate Complete Blueprint", variant="primary", size="lg")
-
- with gr.Row():
- with gr.Column():
- summary_output = gr.Markdown(label="Summary")
- with gr.Column():
- business_plan_output = gr.Markdown(label="Business Plan Executive Summary")
-
- with gr.Row():
- with gr.Column():
- flashcards_output = gr.Markdown(label="Learning Flashcards")
- with gr.Column():
- roadmap_output = gr.Markdown(label="Startup Roadmap")
-
- generate_btn.click(
- generate_startup_blueprint,
- inputs=[startup_name, industry, target_market, problem_statement, solution, value_proposition],
- outputs=[summary_output, business_plan_output, flashcards_output, roadmap_output]
+with gr.Blocks(
+ title="π AI Startup Roadmap Generator",
+ theme=gr.themes.Soft(),
+ css=custom_css
+) as demo:
+
+ # Header
+ gr.Markdown(
+ """
+ π AI Startup Roadmap Generator
+
+ ### Transform Your Startup Ideas into Comprehensive Business Plans
+
+ **Powered by RAG Technology & ChromaDB** | Generate complete startup blueprints including business plans, learning materials, and roadmaps in minutes.
+
+
+ π― Features: Business Plan Generation β’ Market Analysis β’ Learning Flashcards β’ Startup Roadmaps β’ RAG-Enhanced Insights
+
+ """,
+ elem_classes="main-header"
+ )
+
+ with gr.Tabs():
+ # Main Blueprint Generator Tab
+ with gr.TabItem("π’ Complete Blueprint Generator", id="main"):
+ gr.Markdown("### π Enter Your Startup Information")
+
+ with gr.Row():
+ with gr.Column(scale=1):
+ gr.Markdown("#### Basic Information")
+ startup_name = gr.Textbox(
+ label="Startup Name *",
+ placeholder="e.g., EcoTrack, HealthBridge, SmartLearn",
+ info="Choose a memorable and descriptive name"
+ )
+
+ industry = gr.Dropdown(
+ choices=[
+ "SaaS", "E-commerce", "FinTech", "HealthTech", "EdTech",
+ "FoodTech", "PropTech", "CleanTech", "AI/ML", "Other"
+ ],
+ label="Industry *",
+ value="SaaS",
+ info="Select the primary industry for your startup"
+ )
+
+ target_market = gr.Textbox(
+ label="Target Market",
+ placeholder="e.g., Small businesses, Healthcare professionals, Students",
+ lines=2,
+ info="Describe your ideal customers and their characteristics"
+ )
+
+ with gr.Column(scale=1):
+ gr.Markdown("#### Problem & Solution")
+ problem_statement = gr.Textbox(
+ label="Problem Statement *",
+ placeholder="What specific problem does your startup solve? Be detailed about pain points.",
+ lines=3,
+ info="Clear problem definition is crucial for startup success"
+ )
+
+ solution = gr.Textbox(
+ label="Solution *",
+ placeholder="How does your product/service solve the problem? What makes it unique?",
+ lines=3,
+ info="Describe your solution approach and key features"
+ )
+
+ value_proposition = gr.Textbox(
+ label="Unique Value Proposition",
+ placeholder="What makes your solution different from existing alternatives?",
+ lines=2,
+ info="Your competitive advantage and differentiation"
+ )
+
+ with gr.Row():
+ generate_btn = gr.Button(
+ "π Generate Complete Startup Blueprint",
+ variant="primary",
+ size="lg",
+ scale=2
)
-
- # Flashcards Only Tab
- with gr.TabItem("π Learning Flashcards"):
- gr.Markdown("### Generate Learning Flashcards")
-
- flashcard_category = gr.Dropdown(
- choices=['Market Research', 'Business Planning', 'Financial Management', 'Legal Setup', 'Team Building', 'Marketing'],
- label="Learning Category",
- value="Market Research"
+ gr.Markdown("*Processing typically takes 10-30 seconds*", scale=1)
+
+ gr.Markdown("---")
+ gr.Markdown("### π Your Generated Startup Blueprint")
+
+ with gr.Row():
+ with gr.Column(scale=1):
+ summary_output = gr.Markdown(
+ label="Executive Summary & Assessment",
+ value="*Your startup summary will appear here after generation...*"
+ )
+ with gr.Column(scale=1):
+ business_plan_output = gr.Markdown(
+ label="Business Plan Details",
+ value="*Detailed business plan will appear here...*"
+ )
+
+ with gr.Row():
+ with gr.Column(scale=1):
+ flashcards_output = gr.Markdown(
+ label="π Learning Flashcards",
+ value="*Industry-specific learning materials will appear here...*"
+ )
+ with gr.Column(scale=1):
+ roadmap_output = gr.Markdown(
+ label="πΊοΈ Startup Roadmap",
+ value="*Your startup timeline and milestones will appear here...*"
+ )
+
+ # Connect the generate button
+ generate_btn.click(
+ fn=generate_startup_blueprint,
+ inputs=[startup_name, industry, target_market, problem_statement, solution, value_proposition],
+ outputs=[summary_output, business_plan_output, flashcards_output, roadmap_output]
+ )
+
+ # Flashcards Only Tab
+ with gr.TabItem("π Learning Flashcards", id="flashcards"):
+ gr.Markdown("### π Generate Industry-Specific Learning Materials")
+ gr.Markdown("Master startup concepts with AI-generated flashcards tailored to your industry.")
+
+ with gr.Row():
+ with gr.Column(scale=2):
+ flashcard_category = gr.Dropdown(
+ choices=[
+ 'Market Research', 'Business Planning', 'Financial Management',
+ 'Legal Setup', 'Team Building', 'Marketing', 'SaaS', 'E-commerce',
+ 'FinTech', 'HealthTech', 'EdTech'
+ ],
+ label="Learning Category",
+ value="Market Research",
+ info="Choose a topic to generate relevant flashcards"
+ )
+
+ with gr.Column(scale=1):
+ flashcard_btn = gr.Button("π Generate Flashcards", variant="primary")
+
+ flashcard_only_output = gr.Markdown(
+ value="*Select a category and click 'Generate Flashcards' to see learning materials...*"
+ )
+
+ flashcard_btn.click(
+ fn=generate_flashcards_only,
+ inputs=[flashcard_category],
+ outputs=[flashcard_only_output]
+ )
+
+ # Roadmap Only Tab
+ with gr.TabItem("πΊοΈ Startup Roadmap", id="roadmap"):
+ gr.Markdown("### πΊοΈ Generate Detailed Startup Roadmap")
+ gr.Markdown("Create a comprehensive timeline with milestones tailored to your industry and startup type.")
+
+ with gr.Row():
+ roadmap_startup_name = gr.Textbox(
+ label="Startup Name",
+ value="My Startup",
+ info="Enter your startup name for personalization"
)
-
- flashcard_btn = gr.Button("π Generate Flashcards", variant="primary")
- flashcard_only_output = gr.Markdown()
-
- flashcard_btn.click(
- generate_flashcards_only,
- inputs=[flashcard_category],
- outputs=[flashcard_only_output]
+ roadmap_industry = gr.Dropdown(
+ choices=["SaaS", "E-commerce", "FinTech", "HealthTech", "EdTech", "AI/ML"],
+ label="Industry",
+ value="SaaS",
+ info="Select industry for customized milestones"
)
-
- # Roadmap Only Tab
- with gr.TabItem("πΊοΈ Startup Roadmap"):
- gr.Markdown("### Generate Startup Roadmap")
-
- with gr.Row():
- roadmap_startup_name = gr.Textbox(label="Startup Name", value="My Startup")
- roadmap_industry = gr.Dropdown(
- choices=["SaaS", "E-commerce", "FinTech", "HealthTech", "EdTech"],
- label="Industry",
- value="SaaS"
- )
-
roadmap_btn = gr.Button("πΊοΈ Generate Roadmap", variant="primary")
- roadmap_only_output = gr.Markdown()
-
- roadmap_btn.click(
- generate_roadmap_only,
- inputs=[roadmap_startup_name, roadmap_industry],
- outputs=[roadmap_only_output]
- )
-
- gr.Markdown("""
+
+ roadmap_only_output = gr.Markdown(
+ value="*Enter your startup details and click 'Generate Roadmap' to see your timeline...*"
+ )
+
+ roadmap_btn.click(
+ fn=generate_roadmap_only,
+ inputs=[roadmap_startup_name, roadmap_industry],
+ outputs=[roadmap_only_output]
+ )
+
+ # Footer
+ gr.Markdown(
+ """
---
-
- **Note:** This is a demonstration version. The RAG system uses a curated knowledge base of startup best practices and industry insights.
- For production use, connect to live data sources and advanced language models.
- """)
-
- return interface
-
-# Create Gradio interface
-print("Creating Gradio interface...")
-gradio_interface = create_gradio_interface()
-
-print("\nβ
Gradio interface created successfully!")
-print("\nπ To launch the interface, run:")
-print("gradio_interface.launch(share=True, debug=True)")
-
-# Uncomment to launch immediately
-gradio_interface.launch(share=True, debug=True)
-
-"""## π Final System Launch"""
-
-# Launch the complete system
-print("π LAUNCHING STARTUP BLUEPRINT GENERATOR SYSTEM")
-print("=" * 60)
-
-# System summary
-print(f"π Knowledge Base: {len(startup_knowledge_base)} documents")
-print(f"π΄ Flashcards Generated: {len(flashcards_gen.flashcards_db)}")
-print(f"πΊοΈ Roadmap Templates: {len(roadmap_gen.roadmap_templates)} phase categories")
-print(f"π’ Business Plan Templates: {len(blueprint_generator.templates)} sections")
-
-print("\nπ― Available Features:")
-print("- β
RAG-powered knowledge retrieval")
-print("- β
Complete business plan generation")
-print("- β
Interactive learning flashcards")
-print("- β
Visual roadmap creation")
-print("- β
Model persistence with joblib")
-print("- β
Gradio web interface")
-
-print("\nπ Launch Options:")
-print("1. Gradio Interface: gradio_interface.launch(share=True)")
-print("2. Local Development: Run individual components")
-print("3. Google Colab: Execute all cells in sequence")
-
-print("\nπ‘ Quick Start Guide:")
-print("1. Fill in startup information")
-print("2. Generate complete blueprint")
-print("3. Review business plan and roadmap")
-print("4. Study with generated flashcards")
-print("5. Export results in various formats")
-
-print("\nπ§ System Ready for Extension:")
-print("- Add custom knowledge domains")
-print("- Integrate external APIs")
-print("- Connect advanced LLMs")
-print("- Deploy to cloud platforms")
-
-print("\nπ SYSTEM FULLY OPERATIONAL!")
-print("Ready to generate comprehensive startup blueprints with RAG technology.")
+
+ ### π‘ About This Tool
+
+ This AI-powered startup blueprint generator uses **Retrieval-Augmented Generation (RAG)** technology with a curated knowledge base of startup best practices, industry insights, and proven frameworks.
+
+ **π― Perfect for:**
+ - First-time entrepreneurs planning their startup
+ - Business students working on startup projects
+ - Accelerator participants developing business plans
+ - Anyone validating and structuring startup ideas
+
+ **π§ Technology Stack:** Gradio + ChromaDB + Sentence Transformers + LangChain
+
+ **π Knowledge Base:** Covers market research, business planning, funding, legal setup, team building, and marketing strategies.
+
+ ---
+
+
+ Disclaimer: This tool provides educational guidance based on startup best practices.
+ Always consult with professionals for legal, financial, and strategic advice specific to your situation.
+
+ """
+ )
+
+# Launch configuration
+if __name__ == "__main__":
+ # Get port from environment (for deployment platforms)
+ port = int(os.getenv("PORT", 7860))
+
+ print(f"""
+π AI Startup Roadmap Generator Ready!
+
+π Starting server on port {port}
+π RAG system: {"β
Active" if rag_system else "β Fallback mode"}
+π Knowledge base: {"β
Loaded" if rag_system and rag_system.collection else "β Empty"}
+
+π Launching application...
+""")
+
+ # Launch the app
+ demo.launch(
+ server_name="0.0.0.0", # Allow external access
+ server_port=port,
+ share=False, # Set to True for temporary public links
+ show_error=True,
+ show_tips=True,
+ enable_queue=True # Handle multiple users
+ )
\ No newline at end of file