SEO, Vectors, and Cookie Carnage

Week 2

#bhonda.com

Added proper SEO infrastructure with robots.txt and dynamic sitemap generation. The site is now ready for search engine indexing with clean, standards-compliant metadata.

#Inspiration Index

The pipeline migrated from Pinecone to pgvector, consolidating all vector storage in PostgreSQL.

  • Dual embedding architecture—one for semantic search, one for visual similarity—dramatically improves frame discovery accuracy
  • Frame analysis now uses Gemini with context caching for faster processing
  • Enforces minimum 3-frame spacing to capture diverse moments
  • Robust retry logic with attempt-based tracking and comprehensive metadata schemas for styling and taxonomy

The app migrated search to the new pgvector backend with dual embeddings. Tag components and video preview support added for richer browsing. Expanded container widths and a cleaned-up review workflow UI round it out.

  • Soft 404 detection in the link scraper
  • Client-side redirect detection and language root redirect patterns
  • Timeout protection
  • URL liveness tracking and rich page metadata fetching
  • Expanded page taxonomy for better content classification

#Agentic Editor

Added the ability to manually resolve non-Claude comments, fixing a UX gap where human feedback got stuck in the review flow. Squashed multiple activity sidebar and iframe-bridge bugs that were degrading the editing experience.

#Autoscroll Recorder

  • Integrated comprehensive cookie banner blocking using AdGuard filters—no more consent popups ruining captures
  • Cross-region S3 distribution support for multi-region deployments with improved metadata sanitization
  • Batch retry functionality for failed recording jobs makes recovery from transient failures seamless
  • Optional AWS region configuration for S3 destinations on the web side

#PostgreSDK

Documented the 1000-record pagination limit and shipped v0.15.6 with cleaner auth strategy inference—no more explicit auth fields, it just works from your config.