How Nora Chooses Items
Nora does not scan Amazon for hype, flash sales, or whatever happens to be trending.
Instead, Nora focuses on everyday items with enough price history to make a useful judgment.
This page explains what Nora looks for, what she avoids, and why categories are intentionally limited.
What Nora Looks For
- Stable buying patterns — items people buy regularly, not just during promotions.
- Clear price history — enough data to understand what an item usually costs.
- Lower-noise pricing — less artificial urgency and fewer short-term spikes.
- Practical use cases — items people may rebuy, replace, or watch over time.
What Nora Avoids
- Flash-sale pricing with unstable history
- Products without enough data to establish a typical price
- Listings built around inflated reference prices
- Erratic pricing behavior that makes the price hard to judge
Why Categories Are Limited
Each category shows a limited, rotating set of items. This is intentional.
Showing everything creates noise. Showing fewer items helps keep the results more useful, consistent, and easier to trust.
Categories update regularly as prices change and new items meet Nora’s criteria.
What This Means for You
Nora is not trying to tell you what to buy.
Nora is trying to show you what looks normal, what looks better than usual, and what looks overpriced — so you can make a smarter decision.