Hi everyone,
Following up on my earlier post about Screener Specter, I’m excited to share a major upgrade we’ve just rolled out based on a lot of work and user feedback.
We’ve fundamentally rebuilt the AI core to be much smarter and more useful for deep-dive analysis.
Here’s what’s new:
- Industry-Specific Intelligence: The biggest change. The assistant uses different models specific to the industry. This means when you analyze a transcript, it will automatically focus on the right KPIs:
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Banks: NIM, CASA, GNPA/NNPA.
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Auto Ancillaries: Content per vehicle, OEM vs. Aftermarket mix.
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and many more
The output is now far more relevant and mirrors what a sector-specific analyst would look for.
- Automatic Target Extraction: The AI now automatically finds and lists all forward-looking guidance and targets mentioned by management. This creates a “Management Scorecard” in the summary, making it easy to track promises on revenue, margins, capex, and timelines.
The goal was to move from a generic summarizer to a true, specialized research assistant. Hope this proves even more useful for everyone’s research process.
As always, open to feedback and suggestions from this wonderful community.
