Modular scrapers
SKU ingest is URL-first; each storefront ships an isolated extractor contract so breakage is quarantined, retried, and surfaced inline instead of poisoning aggregate analytics.
About priceyra
Academic methodology, hardened for live commerce.
Mission
Priceyra started as coursework on asymmetric price signaling: merchants spoof urgency, inflate anchors, and camouflage mediocre discounts behind calendar theater. We document those signals in a developer-grade dashboard — every tracker routes through scrape verification, anomaly checks, and calendar-aware BUY/HOLD overlays.
Technical stack (conceptual)
Predictive overlays
Lightweight models prioritize interpretability — volatility cones, uplift deltas, peer listing baselines — to flag synthetic “sales” without hiding the rationale from the shopper.
Calendar buying intelligence
Event rails (Blessed Friday, 11 · 11, Black Friday, seasonal pushes) annotate historical charts, preempt HOLD states, and block panic buying into pre-inflated price floors.
Engineering roster
Product & brutal UX
Saboor
Workspace flows, onboarding, and cockpit legibility — shipping neo-brut surfaces that privilege raw numbers over ornament.
Platform · modular scrapers
Talha
Merchant-specific extractor mesh, stale-data guardrails, and DOM-drift failover so retailer rewrites surface as SCRAPER FAILED, not silent lies.
Data · predictive signals
Furqan
Fake-sale classifiers plus calendar-informed Buy/Hold thresholds — stress-testing labels against uplift noise and inflated anchors.