Price under benchmark, specs match, seller clean, no scam flags. Worth opening now.
Inside the instrument
A used-hardware listing walks in. A verdict walks out.
Every deal you see went through the same machine: a hunt that says what you want, a benchmark that says what it's worth, four checks that say whether it's real. Here's how the machine works, and why you can trust the number it lands on.
Part 1 · Input · The hunt
Tell it what you want. It watches from there.
A hunt is a saved search with a price bar: what you're after, how much you'll pay, where to look.
Target = the price you'd love. Ceiling = the most you'd pay. Anything above the ceiling never reaches you.
Say it in part numbers ("AMD Ryzen 9 9950X3D") or in plain English ("a MacBook for school, good battery"). Both become the same thing: a set of criteria the machine checks every listing against.
Cadence: it re-reads the market daily on Free and every two hours on Pro/Lifetime. When a scan finds a listing that clears your bar, the alert goes straight to Telegram, Discord, Slack, Pushover, or ntfy.
Part 2 · Reference · The price benchmark
"Good price" isn't a feeling. It's a number with a sample size.
Every scanned listing lands in a running history of real asking prices per component. That history becomes a benchmark: the median, the p25 (low end), the p75 (high end), and how many observations back it up.
So "underpriced" means something concrete: below the median of N real recent listings, not below a guess.
The benchmark ages. The machine tracks freshness, meaning how long ago those prices were actually seen, and won't pretend stale data is current.
NVIDIA GeForce RTX 3080 · 10GB
Fresh · scanned today
Median
$460
p25 — low end
$380
p75 — high end
$540
Observations
132 listings
Freshness
≤ 90 days
Scores are snapshots, not forecasts. A listing scored yesterday is yesterday's read on it. The benchmark is real observations, with the sample size shown. Thin data is labeled thin, not padded.
Part 3 · Judgment · The four checks → one verdict
Watch one listing run through all four checks.
A 1–10 score isn't one opinion. It's four checks run together. Each check passes or flags. The score is the sum of those four answers, and the verdict is the score's plain-language translation.
This is the machine working on real inputs. The reading is static here; the interactive demo below lets you drive it.
Input
NVIDIA GeForce RTX 3080 · 10GB · $340 · tested, original box
01 · Price
Asking price vs. the benchmark: $340 vs $460 median (p25/p75 window) → 26% under
02 · Fit
Does it match what your hunt asked for? Model, capacity, condition: matches hunt "RTX 3080, used, under $450"
03 · Seller
The signals a careful buyer checks: history clean, feedback established, no warning signs
04 · Risk
The scam tells: thin descriptions, new accounts, prices below a believable floor. None detected.
8.9/10
ALERT
The one line: "26% under median, specs verified, seller clean. This is a buy."
We never dress up a bad deal. Excitement scales with how good the price actually is. You get a readout, not a sales pitch.
Part 4 · Output · Alert / Watch / Skip
Three outcomes. One of them is worth your time.
You set the bar (target vs ceiling), so you only get pinged when a listing clears your line. ALERT is the machine saying: this one is the real deal.
It scored well but didn't clear the bar.
Overpriced, wrong fit, or flagged.
Watch it work · Interactive demo
See it score a real hunt. Run it yourself.This isn't a mockup. It's the actual hunt builder running against demo data. Set a part or a plain-English need, hit scan, and watch a listing run through the four checks to a verdict.
Demo · nothing here touches a real account The alert is waiting for your hunt.Now you know how it works. Set your first hunt.
Your first 3 hunts are free. The machine is already watching.
Start a hunt
No credit card required