Dateien nach "general-market-intelligence" hochladen

general-market-intelligence/README.md

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+<div align="center">
+<img width="1200" height="475" alt="GHBanner" src="https://github.com/user-attachments/assets/0aa67016-6eaf-458a-adb2-6e31a0763ed6" />
+</div>
+
+# Run and deploy your AI Studio app
+
+This contains everything you need to run your app locally.
+
+View your app in AI Studio: https://ai.studio/apps/drive/1hqAT_ZEgFV0rmyyCHSDAQMucb_tpEWUp
+
+## Run Locally
+
+**Prerequisites:**  Node.js
+
+
+1. Install dependencies:
+   `npm install`
+2. Set the `GEMINI_API_KEY` in [.env.local](.env.local) to your Gemini API key
+3. Run the app:
+   `npm run dev`

general-market-intelligence/metadata.json

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+{
+  "name": "General Market Intelligence",
+  "description": "A B2B sales intelligence agent helping SDRs identify leads and analyze competitor technology stacks using AI-powered search.",
+  "requestFramePermissions": []
+}

general-market-intelligence/package.json

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+{
+  "name": "general-market-intelligence",
+  "private": true,
+  "version": "0.0.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "vite build",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "react": "^19.2.0",
+    "react-dom": "^19.2.0",
+    "@google/genai": "^1.29.0",
+    "lucide-react": "^0.554.0",
+    "uuid": "^13.0.0",
+    "nanoid": "^5.1.6",
+    "jspdf": "^2.5.1",
+    "jspdf-autotable": "^3.8.1"
+  },
+  "devDependencies": {
+    "@types/node": "^22.14.0",
+    "@vitejs/plugin-react": "^5.0.0",
+    "typescript": "~5.8.2",
+    "vite": "^6.2.0"
+  }
+}

general-market-intelligence/types.ts

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+
+export enum AppStep {
+  INPUT = 0,
+  STRATEGY = 1,
+  REVIEW_LIST = 2,
+  ANALYSIS = 3,
+  REPORT = 4,
+  OUTREACH = 5,
+}
+
+export type Language = 'en' | 'de' | 'fr';
+
+export interface Competitor {
+  id: string;
+  name: string;
+  url?: string;
+  description?: string;
+}
+
+export enum LeadStatus {
+  CUSTOMER = 'Bestandskunde',
+  COMPETITOR = 'Nutzt Wettbewerber',
+  POTENTIAL = 'Greenfield / Potenzial',
+  UNKNOWN = 'Unklar / Manuelle Prüfung'
+}
+
+export enum Tier {
+  TIER_1 = 'Tier 1', // Enterprise
+  TIER_2 = 'Tier 2', // Mid-Market
+  TIER_3 = 'Tier 3'  // SMB
+}
+
+// NEW: Flexible Signal Definition
+export interface SearchSignal {
+  id: string;
+  name: string; // e.g. "ISO Certification" or "Return Policy"
+  description: string; // e.g. "Check for ISO 27001 badge"
+  targetPageKeywords: string[]; // e.g. ["compliance", "about", "legal"]
+}
+
+export interface SearchStrategy {
+  productContext: string; // What are we selling?
+  idealCustomerProfile: string;
+  signals: SearchSignal[];
+}
+
+export interface AnalysisResult {
+  companyName: string;
+  status: LeadStatus;
+  
+  // Core Data
+  revenue: string;
+  employees: string;
+  tier: Tier;
+  dataSource: string; // "Wikipedia", "Web Search", etc.
+
+  // Dynamic Data based on Signals
+  dynamicAnalysis: Record<string, {
+    value: string; // The finding (e.g., "Yes, ISO 27001 found" or "Free Returns")
+    proof: string; // Source/Snippet
+    sentiment?: string; // "Positive", "Negative", "Neutral"
+  }>;
+
+  recommendation: string;
+  sources?: string[];
+  
+  // Meta
+  processingChecks: {
+    wiki: boolean;
+    revenue: boolean;
+    signalsChecked: boolean;
+  };
+}
+
+export interface AnalysisState {
+  currentCompany: string;
+  progress: number;
+  total: number;
+  completed: number;
+}
+
+export interface EmailDraft {
+  persona: string;
+  subject: string;
+  body: string;
+  keyPoints: string[];
+}