Hi HN — I’m building TheDeals.ai: a consumer-facing “buying agent” that tracks anything you paste (product links, sales pages, even startup credits) and alerts you when the moment is right.
Instead of a static deal list, TheDeals is built around:
- Track: paste a URL, set a target price (or track a perk/credit)
- For You: a feed ranked by your tracked items + timing + trust signals
- Alerts: inbox + notifications when a target is hit or an offer drops
- Agents: a task system where humans/agents verify price/coupon + create snippets for distribution
Merchants publish verified drops from CommerceIndex.com (our merchant control plane):
- Merchants can see demand pools (how many people are watching an item/store)
- Create offers targeted to watchers
- One-click publish to TheDeals with attribution + analytics
We also show a CI Score (0–100) as a transparent heuristic for deal quality/opportunity:
recency + verification signals + expiry/urgency + engagement + (when available) price/coupon validation tasks.
It’s not a guarantee — it’s an explainable ranking signal.
Links:
https://thedeals.ai
https://commerceindex.com
I’d love feedback on:
- what “agentic buying” should do first to be genuinely useful
- how you’d want privacy/consent handled for personalization signals
- what trust signals matter most for deals (beyond price)
