Applied technology venture
AnglerDog AI Fishing Finder
AnglerDog is an internally built venture exploring intelligent outdoor decision support — combining seasonal fishing knowledge, location-specific guidance, weather and moon phase context, inference, recommendation design, membership, and modern web and cloud architecture.
Why this is here
AnglerDog is useful here because it is a real system, not a slide. The patterns it exercises — contextual recommendations, inference with confidence, integration with external data, and a workable monetization path — are the same patterns businesses ask about.
Business problem
Fishing audiences need local, timely guidance, but most niche content sites are static, hard to personalize, and difficult to monetize beyond ads.
AI opportunity
AI can convert seasonal knowledge, lake patterns, weather context, and member preferences into practical fishing recommendations and content workflows.
Technical implementation
A Vercel-hosted recommendation app connects to Squarespace for public pages and membership flows, with structured fishing knowledge, weather and moon phase inputs, affiliate product links, and AI-assisted content generation.
Outcome
A working example of a content brand becoming a recommendation platform, running in production rather than in a prototype.
Future roadmap
Expand water-body coverage, add member profiles, improve recommendation confidence, connect product feeds, and test premium trip-planning tools.
What we’d measure
- Recommendation acceptance rate
- Member retention and repeat visits
- Affiliate click-through and conversion
- Time to produce seasonal content
Try a sample recommendation
Illustrative only — it shows the recommendation pattern, not live conditions.
