Stop searching, start finding

Search podcasts the way you remember them...in natural language. Describe what was actually said and jump straight to the moments that matter.

Deep Search

Popular Searches

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Why Flect is Different

AI-Powered Search

OpenAI text embeddings understand the true meaning of your search, not just keywords. Layer on traditional filters for precise results.

Exact Timestamps

Jump directly to the moments that matter with precise timestamps and contextual previews of the surrounding discussion.

Smart Filtering

Filter by podcast, video, or time period. Quickly evaluate results with text snippets before watching.

Seamless Experience

Save favorites, share timestamps, adjust playback speed, and watch directly on YouTube with one click.

Scalable Search Backend

Lightning-fast search across millions of podcasts clips with daily updates. Built to scale with growing library of content.

Smart History

Track your searches, save important moments, and get personalized recommendations based on your viewing patterns and interests.

Why Current Solutions Fall Short

YouTube Search

  • ×Limited to searching video titles and descriptions
  • ×Relies heavily on creator-provided metadata
  • ×No ability to find specific moments or quotes within videos
  • ×Search doesn't consider context within videos

Google Search

  • ×No direct links to video timestamps
  • ×Doesn't consider context within videos
  • ×Overwhelming number of results
  • ×Results scattered across multiple platforms
  • ×Difficult to filter for specific video content

Keyword Search

  • ×Lots of noise for common keywords
  • ×No understanding of content meaning
  • ×You must remember exact words that were spoken
  • ×Struggles with synonyms and related terms
  • ×Cannot handle natural language queries

Semantic Search

  • ×Solutions generally have high latency
  • ×Poor accuracy on longer video content
  • ×Limited to text similarity, missing context
  • ×Resource-intensive and expensive, costs passed on to users

AI Summaries

  • ×Summarization loses original context and nuance
  • ×No direct links to source content
  • ×Generic overview instead of specific moments
  • ×Often outdated or missing recent content
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