Skip sellers with strength 85+ before you analyze their catalog.
Storefront discovery
Light scan a catalog, read seller strength at a glance, and decide if the seller is worth fighting before you deep analyze anything.
For every Amazon seller
BunnyScan light-scans storefronts for seller strength and eligibility, then deep-analyzes only ASINs you'd actually list — with a Chrome overlay on Amazon product pages.
800-ASIN catalog → shortlist 12 → deep analyze those → buy 3 — not 800 deep dives on rows you'd skip.
Chrome extension on Amazon — quick check without leaving the page
Reverse sourcing breaks before analysis — when you pick the wrong seller or deep-analyze every row in the catalog.
You're not stuck on analysis — you're stuck on discovery. Random storefronts from groups waste days before you find a beatable catalog.
One catalog can mean hundreds of ASINs run through full analysis. You buy a handful and wonder where the hours went.
Strong sellers mean listings you can't win. Without seller strength upfront, you find out after the scan — not before.
Keepa, calculator, spreadsheet, ungate notes, Seller Central — context switching kills throughput for you and your VAs.
The fix isn't more ASIN lookups. It's picking beatable sellers first, then analyzing only what you'd actually list.
Same goal — find profitable ASINs. Different starting point.
Old way
BunnyScan
Random storefront from a Facebook group
Starter library + seller strength score before you invest in the catalog
Deep analyze every row in the spreadsheet
Light scan → sort by Rec → deep analyze 10–20 winners
Gating surprise on the Amazon page
Eligibility on the light scan — skip gated rows early
Ungate tracking in Slack and Sheets
Ungate board in the same workspace as your scans
Pick beatable sellers first, light scan their catalogs, and deep analyze only ASINs you'd actually list.
800
ASINs in catalog
47
Sellable after light scan
12
Deep analyzed
3
Purchased
Example: light-scan an 800-ASIN catalog, sort by Rec and seller strength, deep analyze ~12 shortlist picks, and buy 3 winners. The win is focusing on ASINs you'd actually list — not running deep analysis on every row.
Step 1
Light-scan their catalog for eligibility, seller strength, and row-level signals — before you go deep on anything.
Step 2
Sort by Rec, tanking risk, and overlap. Skip rows you'd never buy before running full fee and ROI analysis.
Step 3
Run full fees, ROI, and competition on the ASINs you plan to sell — not the whole catalog.
Three outcomes — not a feature laundry list.
Skip sellers with strength 85+ before you analyze their catalog.
Light scan a catalog, read seller strength at a glance, and decide if the seller is worth fighting before you deep analyze anything.
800 light → 12 deep → 3 buys — not 800 deep analyzes.
Rec, tanking risk, and overlap on every row so you shortlist winners before running full analysis on maybes.
Wholesale CSV, ungate queue, and VA workspaces — one login.
Upload supplier lists, track ungate status, assign VAs, and run the same pipeline whether you're solo or running a team.
The Chrome extension reads the ASIN from the page you're viewing — quick check, shortlist, and open full analysis without leaving the product page.
Any sourcing model — OA, wholesale, reverse, private label, and more.
Evaluate ASINs faster whether you source retail, suppliers, or competitor catalogs — light scan first, deep analyze only what clears your rules.
Storefront discovery, supplier CSV uploads, and profit checks in one workspace as you add volume — without switching tools per model.
Shared workspaces, ungate queues, and row-level Rec/Tank/Overlap so everyone shortlists the same way — no spreadsheet drift.
One storefront scan — from catalog to buy list.
Pick a curated seller from the starter library — small catalogs picked for beatable competition.
Light scan: eligibility, seller strength, Rec, tanking, and overlap on every row.
Deep analyze ~12 shortlist picks. Buy 3 winners. Time spent on winners, not the whole catalog.
Full reverse-sourcing platform with managed hosting, the starter storefront library, and the Chrome extension.
$199 one-time — unlocks your lifetime license
+ $29/month — keeps your account active
Lifetime license · ongoing platform upkeep · email support · Chrome extension
All sales are final. BunnyScan license and monthly fees are non-refundable, including mistaken purchases, buyer remorse, or charges you later dispute as an error.
$199 one-time — unlocks your lifetime license · $29/month — keeps your account active · full platform included.
Reverse-sourcing software for Amazon sellers — pick beatable sellers first, analyze winners only.