{
 "dataset": "Shark Tank US — all-time pitches, re-underwritten for a 2026 AI bootstrap",
 "generated": "2026-07-08",
 "generated_by": "The Pai Company sweep (Claude Code multi-agent workflow, 123 agents)",
 "canonical_url": "https://allsharktankcompanies.darcydouglas.com/",
 "source_dataset": "https://github.com/satya-thirumani/shark-tank-us (Shark Tank US, seasons 1-16, 2009-2025)",
 "method": "Every pitch classified by whether its core value could be delivered primarily online. The 178 online-viable companies were web-checked for current status and scored for a bootstrapped 3-engineer AI build in 2026 (feasibility, AI leverage, market openness, demand evidence). Top 24 got researched deep dives, then two adversarial skeptics (market-saturation, distribution/execution) tried to kill each; survival required beating at least one.",
 "caveat": "Scores are model judgment informed by live web research, not financial data. Use as a shortlist generator, not diligence.",
 "counts": {
  "total_pitches": 1422,
  "online": 102,
  "digitizable": 76,
  "physical": 1244,
  "evaluated": 178,
  "deep_dived": 24,
  "survivors": 4
 },
 "files": [
  {
   "path": "/data/pitches.json",
   "format": "JSON array",
   "rows": 1422,
   "description": "Master table: every pitch with base facts + sweep classification; the 178 online-viable rows also carry status, scores, verdict, and the 2026 AI pitch.",
   "primary_key": "id"
  },
  {
   "path": "/data/pitches.csv",
   "format": "CSV (header row)",
   "rows": 1422,
   "description": "Flat version of pitches.json for spreadsheet/pandas. sharks_in_deal is pipe-delimited; eval columns blank for physical pitches."
  },
  {
   "path": "/data/finalists.json",
   "format": "JSON array",
   "rows": 24,
   "description": "Full dossiers for the 24 deep-dived finalists: 2026 landscape, incumbents, wedge, 90-day MVP, path to revenue, risks, and the adversarial skeptics' objections + verdicts.",
   "primary_key": "id"
  },
  {
   "path": "/data/index.json",
   "format": "JSON object",
   "description": "This manifest."
  }
 ],
 "enums": {
  "online_class": {
   "online": "already primarily digital",
   "digitizable": "physical/in-person original whose job could be delivered online in 2026",
   "physical": "core value is a physical good or in-person experience (excluded from evaluation)"
  },
  "company_status": [
   "alive",
   "dead",
   "acquired",
   "pivoted",
   "unknown"
  ],
  "verdict": {
   "pursue": "worth serious consideration",
   "maybe": "conditional",
   "pass": "not worth it"
  },
  "deep_dive.final_verdict": {
   "build": "build now",
   "watch": "validate cheaply first",
   "pass": "no wedge"
  }
 },
 "field_schema": {
  "id": "int — stable row id (join key across files)",
  "name": "str — startup name as aired",
  "season": "int — Shark Tank US season 1-16",
  "description": "str — business description",
  "industry": "str — dataset industry label",
  "website": "str — company website at time of airing",
  "air_date": "str — original air date (DD-Mon-YY)",
  "ask_amount": "int|null — original ask in USD",
  "ask_equity_pct": "int|null — equity offered for the ask",
  "valuation_requested": "int|null — implied valuation in USD",
  "got_deal": "bool — did they get a deal on air",
  "deal_amount": "int|null — total deal amount USD",
  "deal_equity_pct": "num|null — total deal equity",
  "sharks_in_deal": "list[str] — sharks who invested",
  "online_class": "enum online_class",
  "evaluated": "bool — was this in the 178 online-viable set",
  "company_status": "enum company_status (evaluated only)",
  "what_happened": "str — one-line fate of the original company (evaluated only)",
  "score_feasibility": "int 1-10 — buildable by 3 engineers <$50K, no staff (evaluated only)",
  "score_ai_leverage": "int 1-10 — how much 2026 AI improves product/ops vs original (evaluated only)",
  "score_market_open": "int 1-10 — room for a bootstrapped entrant in 2026 (evaluated only)",
  "score_demand_evidence": "int 1-10 — proof people want this job done (evaluated only)",
  "score_overall": "num 1-10 — overall attractiveness for The Pai Company (evaluated only)",
  "verdict": "enum verdict (evaluated only)",
  "pitch_2026": "str — how we'd rebuild it AI-first (evaluated only)"
 }
}