Podket

Summary

Podket is an AI podcast brief tool built for finance and investment podcast listeners. It condenses each episode into a 5-minute read, flags reasoning quality, tracks stock performance, links cross-show debates, and detects host stance shifts.

What is Podket?

Podket transforms any podcast (via RSS or YouTube) into structured briefs. Beyond bullet points, it flags the host's reasoning quality (✅ strong moves, ⚠️ unsupported leaps), tracks mentioned stocks' 7/30/90-day performance, auto-links opposing views from other shows on the same topic, and detects when a host's stance shifts across episodes. Briefs are written natively in your reading language, not machine-translated.

Core Capabilities

• Reasoning quality flags: Marks strong arguments and logical gaps inline
• Stock tracking: Records actual performance of mentioned stocks (7/30/90/365 days)
• Cross-show debates: Auto-links opposing views from different podcasts on the same anchor
• Stance-change detection: Tracks how a host's position evolves across episodes
• Native multi-language briefs: English, Traditional Chinese, and more—written natively, not translated
• Watchlist management: Follow multiple podcasts and YouTube channels

Pros

• Condenses hours of podcasts into 5-minute readable briefs
• Flags reasoning quality to train critical thinking
• Tracks stock performance to verify host predictions
• Breaks echo chambers by surfacing opposing views automatically
• Native-language writing for natural reading flow

Positioning & best fit

Podket is built for finance and investment podcast listeners who want to absorb content efficiently while maintaining critical thinking. It suits users who need to track multiple sources, verify argument quality, and validate predictions against outcomes.

• Finance podcast listeners: Track multiple shows, need fast summaries and cross-verification
• Investors & traders: Verify hosts' stock calls against actual performance
• Researchers: Compare different sources' views on the same topic
• Multi-language users: Read foreign-language podcasts in their native language