Tabical – Tinder-style city micro-itineraries, personalized by swipe
Tinder-style swiping for city itineraries when Google Maps already does discovery.

Trend discovery SaaS with AI recommendations, but Exploding Topics already dominates this category.
SaaS founders, product marketers
Exploding Topics · Glimpse · Google Trends
Tinder-style swiping for city itineraries when Google Maps already does discovery.
The site layers a few clever ideas — a Signal Watchlist, cross-source Nexus for convergence signals, a Vault with Obsidian/JSON export, plus an anonymous AI-only chat — into a discovery-first interface that invites exploration. The visual design and PWA affordances make it feel like a research tool you could live in; the unlockable features and agent-swarm language suggest interesting backend work. Biggest gap: the feed talks about pre-viral signals but gives no visible provenance or scoring details, so the product's trustworthiness depends on opaque methodology.
AI agents clustering market signals feels like another Perplexity wrapper.
Real-time trend prediction is appealing, but Google Trends, Twitter/X analytics, and proprietary tools already do this better.
Originality scores rank repos against category peers instead of raw star counts.
Polished dashboard, but job tracking is a crowded category with no novel data source.