| What it does | AI trained on firsthand experiences
| Independent technology stock research and daily classifications
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| GB
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| Pricing model | Not given
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| Pricing | Not given
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| Key features | - Continuous content validation at AI speed
- MCP integration with AI tools like Claude, ChatGPT, Copilot, Gemini
- Real buyer interview database for validation
- Citation-backed output with real buyer data
- Slack integration for buyer intelligence questions
- Impact measurement and reporting
- Unlimited research without per-project fees
- Works within existing tools without new interfaces
| - Four fixed-weight inputs with no manual overrides
- Five-band classification scale from Strong Positive to Strong Negative
- Daily classification updates for covered tickers
- Simulated portfolio backtests against S&P 500
- Sector-specific classification models
- Transparent model change log
- Public data sources only
- Historical performance data and watchlist management
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| What makes it different | - Enriches existing AI tools with real buyer interview data instead of requiring a new platform
- Validates content continuously at AI speed rather than as a quarterly research exercise
- Every answer is backed by real buyer data with citations, not AI guesses
- Unlimited research without caps or per-project fees
| - Completely rule-based with no analyst discretion or manual overrides applied
- Full performance transparency including underperforming models alongside outperformers
- Mechanically executed simulated trading without subjective interpretation
- Fixed-weight inputs established in advance with public notifications of any changes
- Curated universe of technology equities organized by focused sectors
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 42 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 9 | 0 |
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| Citation Flow (Majestic) | 32 | 0 |
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| Referring domains (Majestic) | 169 | 0 |
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GetWhys
CyronTek Research