initialised repo

lib/types.ts

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+// Enhanced Types for Deep Analysis
+
+export type PlatformId = 'reddit' | 'twitter' | 'hackernews' | 'indiehackers' | 'quora' | 'stackoverflow' | 'linkedin'
+
+export type SearchStrategy = 
+  | 'direct-keywords'
+  | 'problem-pain'
+  | 'competitor-alternative'
+  | 'how-to'
+  | 'emotional-frustrated'
+  | 'comparison'
+  | 'recommendation'
+
+export interface PlatformConfig {
+  id: PlatformId
+  name: string
+  icon: string
+  enabled: boolean
+  searchTemplate: string
+  rateLimit: number
+}
+
+export interface SearchConfig {
+  platforms: PlatformConfig[]
+  strategies: SearchStrategy[]
+  intensity: 'broad' | 'balanced' | 'targeted'
+  maxResults: number
+  timeFilter?: 'past-day' | 'past-week' | 'past-month' | 'past-year' | 'all'
+}
+
+export interface GeneratedQuery {
+  query: string
+  platform: PlatformId
+  strategy: SearchStrategy
+  priority: number
+  expectedIntent: string
+}
+
+export interface Opportunity {
+  id: string
+  title: string
+  url: string
+  snippet: string
+  platform: string
+  source: string
+  
+  relevanceScore: number
+  emotionalIntensity: 'low' | 'medium' | 'high'
+  intent: 'frustrated' | 'looking' | 'comparing' | 'learning' | 'recommending'
+  
+  matchedKeywords: string[]
+  matchedProblems: string[]
+  matchedPersona?: string
+  
+  engagement?: {
+    upvotes?: number
+    comments?: number
+    views?: number
+  }
+  postedAt?: string
+  
+  status: 'new' | 'viewed' | 'contacted' | 'responded' | 'converted' | 'ignored'
+  notes?: string
+  tags?: string[]
+  
+  suggestedApproach: string
+  replyTemplate?: string
+  softPitch: boolean
+  
+  scoringBreakdown?: {
+    keywordMatches: number
+    problemMatches: number
+    emotionalIntensity: number
+    competitorMention: number
+    recency: number
+    engagement: number
+  }
+}
+
+export interface Feature {
+  name: string
+  description: string
+  benefits: string[]
+  useCases: string[]
+}
+
+export interface Problem {
+  problem: string
+  severity: 'high' | 'medium' | 'low'
+  currentWorkarounds: string[]
+  emotionalImpact: string
+  searchTerms: string[]
+}
+
+export interface Persona {
+  name: string
+  role: string
+  companySize: string
+  industry: string
+  painPoints: string[]
+  goals: string[]
+  techSavvy: 'low' | 'medium' | 'high'
+  objections: string[]
+  searchBehavior: string[]
+}
+
+export interface Keyword {
+  term: string
+  type: 'product' | 'problem' | 'solution' | 'competitor' | 'feature' | 'longtail' | 'differentiator'
+  searchVolume: 'high' | 'medium' | 'low'
+  intent: 'informational' | 'navigational' | 'transactional'
+  funnel: 'awareness' | 'consideration' | 'decision'
+  emotionalIntensity: 'frustrated' | 'curious' | 'ready'
+}
+
+export interface UseCase {
+  scenario: string
+  trigger: string
+  emotionalState: string
+  currentWorkflow: string[]
+  desiredOutcome: string
+  alternativeProducts: string[]
+  whyThisProduct: string
+  churnRisk: string[]
+}
+
+export interface Competitor {
+  name: string
+  differentiator: string
+  theirStrength: string
+  switchTrigger: string
+  theirWeakness: string
+}
+
+export interface DorkQuery {
+  query: string
+  platform: 'reddit' | 'hackernews' | 'indiehackers' | 'twitter' | 'quora' | 'stackoverflow'
+  intent: 'looking-for' | 'frustrated' | 'alternative' | 'comparison' | 'problem-solving' | 'tutorial'
+  priority: 'high' | 'medium' | 'low'
+}
+
+export interface EnhancedProductAnalysis {
+  productName: string
+  tagline: string
+  description: string
+  category: string
+  positioning: string
+  
+  features: Feature[]
+  problemsSolved: Problem[]
+  personas: Persona[]
+  keywords: Keyword[]
+  useCases: UseCase[]
+  competitors: Competitor[]
+  dorkQueries: DorkQuery[]
+  
+  scrapedAt: string
+  analysisVersion: string
+}
+
+// Legacy types for backwards compatibility
+export interface ProductAnalysis {
+  productName: string
+  tagline: string
+  description: string
+  features: string[]
+  problemsSolved: string[]
+  targetAudience: string[]
+  valuePropositions: string[]
+  keywords: string[]
+  scrapedAt: string
+}
+
+export interface ScrapedContent {
+  url: string
+  title: string
+  metaDescription: string
+  headings: string[]
+  paragraphs: string[]
+  featureList: string[]
+  links: string[]
+  rawText: string
+}
+
+export interface SearchResults {
+  productAnalysis: EnhancedProductAnalysis
+  totalFound: number
+  opportunities: Opportunity[]
+  searchStats: {
+    queriesUsed: number
+    platformsSearched: string[]
+    averageRelevance: number
+  }
+}