Where DealWatch fits best right now
DealWatch is strongest when the problem is not just “watch one link forever,” but “choose the right target, explain the price decision, and then monitor it with better price context.”
Cross-store grocery comparison
Start with multiple URLs, compare the candidate, and avoid building a durable task around the wrong product.
Long-lived local watch tasks
Create local-first watch tasks with cadence, threshold, and notification settings once one URL is clearly the right long-lived target.
Compare-aware watch groups
Keep multiple candidate URLs alive when the right answer may change over time and you still want the system to pick the best current option.
Cashback-aware tracking
Understand when the effective price matters more than the listed price and keep that context visible in task detail.
AI-assisted decision explanation
Use AI to explain compare evidence, winner changes, and recovery guidance while keeping deterministic scores, risk notes, and task/group truth primary.
Operator recovery and store maintenance
Use runtime readiness, the recovery inbox, and the store onboarding cockpit when the real work is keeping the monitoring loop healthy over time.
Who should use it today
The current product surface is already useful, but it is intentionally opinionated about deployment model and scope.
Good fit
People or small teams who want a local-first tool to compare grocery product URLs, explain why one option looks better, and then track either the best single candidate or a compare-aware group with price, health, and alert history.
Not a fit
Users looking for a hosted SaaS, a shopping chatbot, autonomous buy/wait coverage across every surface, broad all-retailer coverage on day one, or zero local setup.
What comes next
The next major growth steps are already visible in the public roadmap.
More live stores
Expand coverage without losing the compare-first intake discipline.
Stronger compare confidence
Improve matching and candidate confidence so cross-store comparison gets sharper over time.
Richer public docs
Grow guided setup, FAQs, and product walkthroughs without pretending the project is a hosted platform.
Recommendation now starts at compare
The first compare-stage recommendation surface is now live in local Compare Preview. Broader buy / wait expansion still depends on stronger calibration, monitoring, and coverage.
