Retail pricing is deliberately hard to read
We built the tool we wanted: a full year of honest price history on everything, and a model that says out loud when waiting is the smarter move.
PricePilot started as a spreadsheet. One of us was buying a camera, got suspicious of a “40% off” banner, and spent three weeks logging the real price by hand. The discount turned out to be nine percent.
That spreadsheet became a scraper, the scraper became a dataset, and the dataset became a forecasting model. Today we hold four billion price points across 200+ retailers and publish the parts of it that help people decide when to buy.
We are a team of eleven across San Francisco, Stockholm and Lagos, funded by subscriptions rather than by the retailers we track — a distinction that decides almost every product argument we have.
- Influenced people
- 320K
- Retailers tracked
- 200+
- Saved for shoppers
- $41M
- Average shopper rating
- 4.9/5
Four rules we actually apply
These are the tie-breakers we reach for when a decision is genuinely difficult.
Say the number
If we don't trust a forecast, we don't publish one. A confident wrong answer costs a shopper real money, and it costs us their trust permanently.
No dark patterns
No countdown timers we invented, no 'only two left' unless there are genuinely two left, no cancellation flow designed to exhaust you.
Shoppers pay us, not retailers
Subscriptions and product margin, full stop. The moment retailers become the customer, the product stops working for you.
Boring where it matters
Payments, privacy and fulfilment should be unremarkable. We save the interesting engineering for the forecasting model.
Who builds this
Sofia Lindqvist
Co-founder & Head of Data Science
Daniel Reyes
Co-founder & Product
Amara Okafor
ML Engineering Lead
Marcus Bell
Design Director
320,000 people stopped
guessing at checkout
Independent reviews collected after purchase, never incentivised.
“I stopped guessing. PricePilot told me to hold for nine days on a camera body and it fell $260 — exactly inside the predicted band.”
Amara OkaforPhotographer, Lagos
“The AI stylist is the first recommendation engine that hasn't shown me the same five products on a loop. It actually learned what I wear.”
Daniel ReyesProduct designer, Mexico City
“We kitted out an entire studio through it. Auto-buy caught three separate drops overnight and saved us just under four thousand dollars.”
Sofia LindqvistStudio lead, Stockholm
“Fake discount detection alone is worth it. Half the 'sales' I used to jump on were never real reductions in the first place.”
Marcus BellSoftware engineer, Manchester
Start shopping at the right price
Free forever on up to ten tracked products. Upgrade only when the model has already paid for itself.
- 200+ Retailers tracked
- Cancel anytime
- No credit card required