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--- |
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license: cc-by-nd-4.0 |
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task_categories: |
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- text-generation |
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- text-classification |
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- feature-extraction |
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- question-answering |
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tags: |
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- finance |
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- nlp |
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- transcripts |
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- ceo |
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- executives |
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- sentiment-analysis |
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- hedge-fund |
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- alternative-data |
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- earnings-calls |
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- podcasts |
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- interviews |
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- market-signals |
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- quant |
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- fed |
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- macro |
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size_categories: |
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- 100K<n<1M |
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--- |
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<div align="center"> |
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# 🎙️ CEO Transcripts — Verified Executive Interviews |
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### The World's Largest Database of Verified C-Suite Transcripts |
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[](https://ceointerviews.ai) |
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[](https://ceointerviews.ai/api_docs/) |
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[](mailto:lucas@ceointerviews.ai) |
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**20,000+ Executives** · **100,000+ Transcripts** · **400,000+ Quotes** · **S&P 500 + NASDAQ + Global Leaders** |
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</div> |
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--- |
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## 🔥 What's In This Sample? |
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This is a **free evaluation sample** from [CEOInterviews.ai](https://ceointerviews.ai) featuring **9 of the most market-moving voices** in finance, tech, and policy. |
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| Executive | Role | Why They Matter | |
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|-----------|------|-----------------| |
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| **Jensen Huang** | CEO, NVIDIA | Every AI demand signal moves $3T in market cap | |
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| **Jerome Powell** | Chair, Federal Reserve | His words move trillions—quants build NLP models on Fed language | |
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| **Elon Musk** | CEO, Tesla | Highest search volume globally, 3-hour podcast appearances | |
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| **Warren Buffett** | CEO, Berkshire Hathaway | Most famous investor alive, legendary annual meeting Q&As | |
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| **Donald Trump** | 45th & 47th President | Most searched political figure globally, 3-hour Rogan appearance, tariff policy signals move markets | |
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| **Mark Zuckerberg** | CEO, Meta | Podcast king—Rogan, Fridman, unscripted strategy reveals | |
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| **Jamie Dimon** | CEO, JPMorgan | Banking bellwether, "hurricane" recession calls move markets | |
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| **Cathie Wood** | CEO, ARK Invest | Retail trader icon, daily commentary on disruptive innovation | |
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| **Ray Dalio** | Founder, Bridgewater | Hedge fund legend, macro frameworks every quant knows | |
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**Sample Date Range:** 3 months (August — Nov 2025) |
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**Full Dataset:** 2007-Present (updated daily) |
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--- |
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## 💡 The Problem We Solve |
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> **Alpha lives in unguarded moments.** |
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The media playbook for executives has fundamentally shifted: |
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| Old Playbook | New Reality | |
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|--------------|-------------| |
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| Scripted earnings calls | 3-hour Joe Rogan podcasts | |
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| PR-approved press releases | Unscripted Lex Fridman interviews | |
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| Quarterly investor days | Off-the-cuff conference Q&As | |
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**The signal is there. But it's buried in 10,000+ hours of fragmented audio.** |
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CEOInterviews.ai transforms this chaos into structured, queryable, backtestable data. |
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--- |
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## 🎯 Example: Powell vs Dimon on Recession Risk |
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**Research Question:** *"What did Jerome Powell and Jamie Dimon say about recession risk in 2022?"* |
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### Using Our API: |
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```python |
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import requests |
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API = "https://ceointerviews.ai/api" |
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headers = {"X-API-Key": "your_api_key"} |
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powell_quotes = requests.get(f"{API}/quotes/", params={"entity_id": 15847, "keyword": "recession"}, headers=headers).json() |
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dimon_quotes = requests.get(f"{API}/quotes/", params={"entity_id": 12903, "keyword": "recession"}, headers=headers).json() |
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for q in powell_quotes["results"][:3]: |
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print(f"[Powell {q['source_created_at'][:10]}] {q['text'][:150]}...") |
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for q in dimon_quotes["results"][:3]: |
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print(f"[Dimon {q['source_created_at'][:10]}] {q['text'][:150]}...") |
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``` |
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### Sample Output: |
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``` |
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[Powell 2022-06-15] "We're not trying to induce a recession now, let's be clear about that. |
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We're trying to achieve 2% inflation..." |
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[Dimon 2022-06-01] "You know, I said there's storm clouds but I'm going to change it... |
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it's a hurricane. Right now, it's kind of sunny, things are doing fine..." |
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[Powell 2022-09-21] "We have got to get inflation behind us. I wish there were a painless |
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way to do that. There isn't..." |
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[Dimon 2022-09-26] "This is serious stuff... it's a different environment than we've ever |
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seen before... the Fed has to meet this now..." |
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``` |
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**This is the alpha.** Dimon called the "hurricane" 2 weeks before Powell acknowledged pain was coming. |
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--- |
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## 📊 Dataset Schema |
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Each row is a **notable quote** with full context about the executive and source video. |
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| Field | Type | Description | |
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|-------|------|-------------| |
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| `quote_text` | string | **The quote itself** | |
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| `entity_simple_name` | string | Normalized name (e.g., "Jensen Huang") | |
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| `entity_title` | string | Job title | |
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| `entity_profile_pic_url` | string | Profile image URL | |
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| `post_video_thumbnail_url` | string | Video thumbnail URL | |
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| `post_appearance_date` | date | **When executive actually spoke** ⭐ | |
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| `company_logo_url` | string | Company logo URL | |
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| `entity_institution` | string | Company/organization | |
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| `post_title` | string | Video/podcast title | |
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| `post_source_url` | string | Original YouTube URL | |
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| `quote_is_notable` | bool | AI-flagged as significant | |
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| `quote_is_controversial` | bool | AI-flagged as controversial | |
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| `quote_is_financial_policy` | bool | Market/policy relevant | |
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| `quote_topics` | list | Extracted topics (e.g., `["tariffs", "trade"]`) | |
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| `quote_entities` | list | People mentioned | |
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| `quote_companies` | list | Companies mentioned | |
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| `post_description` | string | Video description | |
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| `post_source_created_at` | datetime | When video was published | |
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| `quote_timestamp_from_tx` | string | Timestamp in video (e.g., `00:01:48,000`) | |
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| `quote_created_at` | datetime | When we extracted this quote | |
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| `entity_id` | int | Executive ID | |
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| `entity_name` | string | Full name | |
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| `entity_is_politician` | bool | Is a political figure | |
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| `entity_is_company_leader` | bool | Is a corporate executive | |
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| `entity_is_top_influencer` | bool | High-profile individual | |
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| `company_id` | int | Company ID | |
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| `company_ticker` | string | Stock ticker (e.g., "NVDA") | |
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| `post_id` | int | Source video/transcript ID | |
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| `post_appearance_lag_days` | int | Days between appearance and publish | |
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| `post_thumbnail_quality_review_score` | float | AI thumbnail verification (0-1) | |
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| `post_transcript_quality_review_score` | float | AI transcript verification (0-1) | |
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| `post_transcript_length_chars` | int | Transcript length in characters | |
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| `post_has_transcript` | bool | Has full transcript available | |
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| `transcript_demo_only_request_licensed_access` | list | **Transcript preview** (first 20 lines) | |
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| `quote_id` | int | Unique quote identifier | |
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--- |
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## ⭐ What Makes CEOInterviews Different? |
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### 1. **Appearance Date Detection** |
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Most datasets only have `publish_date`. But a podcast uploaded today might contain an interview from 6 months ago. |
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**We detect when the executive actually spoke.** |
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```python |
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# Example: Interview recorded in January, published in March |
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{ |
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"publish_date": "2022-03-15", # When YouTube uploaded |
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"appearance_date": "2022-01-20", # When Buffett actually spoke ⭐ |
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} |
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``` |
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This is critical for backtesting. You need to know **when the market could have known**, not when the video appeared. |
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### 2. **AI + Human Verification** |
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Every transcript passes through: |
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- 🤖 **Thumbnail Analysis**: Is the executive actually in the video? |
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- 🤖 **Transcript Verification**: Is this their voice, not dubbed/AI-generated? |
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- 🤖 **Quality Scoring**: Is the transcript complete and accurate? |
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**No deepfakes. No dubbing. No secondhand reporting.** |
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### 3. **Structured Quote Extraction** |
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We don't just give you transcripts—we extract the **market-moving moments**: |
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```python |
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{ |
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"text": "We're seeing something we haven't seen in 40 years...", |
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"is_notable": True, |
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"is_financial_policy": True, |
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"topics": ["inflation", "monetary_policy", "fed"], |
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"timestamp_in_video": "00:23:45" |
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} |
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``` |
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--- |
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## 📈 Use Cases |
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| Use Case | How This Dataset Helps | |
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|----------|------------------------| |
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| **Sentiment Alpha** | Backtest NLP signals on Fed language, CEO confidence | |
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| **Event Studies** | Measure market reaction to specific statements | |
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| **ESG Tracking** | Monitor executive commitments on climate, DEI | |
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| **Competitive Intel** | What is Jensen saying about AMD? What is Zuckerberg saying about Apple? | |
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| **Macro Signals** | Track Dalio's "changing world order" thesis evolution | |
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| **LLM Fine-tuning** | Train models on authentic executive communication | |
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| **Media Analysis** | How do CEOs communicate differently on Rogan vs CNBC? | |
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--- |
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## 📊 Sample vs Full Dataset |
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| Metric | This Sample | Full Dataset | |
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|--------|-------------|--------------| |
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| Executives | 9 | **20,000+** | |
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| Transcripts | ~1400 | **100,000+** | |
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| Quotes | ~7,000 | **400,000+** | |
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| Date Range | 2025 | **2007-Present** | |
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| Updates | Static | **Daily** | |
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| API Access | ❌ | ✅ 1,000 req/min | |
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| Custom Entities | ❌ | ✅ On request | |
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--- |
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## 🔐 Get Full Access |
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This sample is **<1%** of our full dataset. |
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### Full Dataset Includes: |
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- ✅ Every S&P 500 and NASDAQ CEO |
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- ✅ Global political leaders (Presidents, Prime Ministers, Fed chairs) |
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- ✅ Top AI founders (Altman, Hassabis, etc.) |
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- ✅ Legendary investors (Buffett, Dalio, Ackman, Fink) |
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- ✅ Daily updates |
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- ✅ RESTful API with full pagination |
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- ✅ CSV/JSON export for model training |
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- ✅ White-glove enterprise support |
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### Pricing |
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| Tier | Price | Best For | |
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|------|-------|----------| |
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| **Researcher** | $499/mo | Academic research, small teams | |
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| **Professional** | Custom | Hedge funds, trading desks | |
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| **Enterprise** | Custom | Full API access, custom coverage | |
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### Contact |
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📧 **Email:** [lucas@ceointerviews.ai](mailto:lucas@ceointerviews.ai) |
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🌐 **Website:** [ceointerviews.ai](https://ceointerviews.ai) |
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📚 **API Docs:** [ceointerviews.ai/api_docs](https://ceointerviews.ai/api_docs/) |
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--- |
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## 📜 License |
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**CC-BY-NC-ND-4.0** (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0) |
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### What This Means: |
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| ✅ Allowed | ❌ Not Allowed | |
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|-----------|----------------| |
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| Download and evaluate | Commercial use | |
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| Academic research | Redistribute modified versions | |
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| Personal projects | Resell or sublicense | |
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| Cite in papers | Create derivative datasets | |
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**For commercial use, contact [lucas@ceointerviews.ai](mailto:lucas@ceointerviews.ai)** |
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--- |
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## 🛠️ Built By |
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<div align="center"> |
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**Lucas Ou-Yang** |
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*Former Engineering Manager and Staff ML Engineer @Coinbase, @Tiktok, @Meta superintelligence labs* |
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Building institutional-grade datasets for quantitative research. |
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[](https://ceointerviews.ai) |
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</div> |
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--- |
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## 📣 Citation |
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If you use this dataset in research, please cite: |
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```bibtex |
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@misc{ceointerviews2024, |
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author = {Ou-Yang, Lucas}, |
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title = {CEOInterviews.ai: Verified Executive Transcript Dataset}, |
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year = {2024}, |
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publisher = {HuggingFace}, |
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url = {https://huggingface.co/datasets/codelucas/ceo-transcripts-verified-sample} |
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} |
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``` |
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--- |
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<div align="center"> |
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**⭐ Star this dataset if you find it useful!** |
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Questions? Reach out at [lucas@ceointerviews.ai](mailto:lucas@ceointerviews.ai) |
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</div> |
