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marketplace flip analyzer
by Jiangdongbo
Data-driven product research tool for finding high-margin resale opportunities on second-hand marketplaces.
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See it in action
You say
Analyze whether "vintage film cameras" are worth flipping on eBay with a $200 budget.
Your agent does
Product Analysis Report: Vintage Film Cameras (eBay)
- Retail Reference: $120 (Avg)
- Wholesale/Thrift Cost: $35
- Margin: 71%
- Grade: A Conclusion: High demand for tested models. Advice: Focus on Canon AE-1 or Pentax K1000. Use keywords: 'Tested', 'Film Tested', 'Working'.
What you get
About this skill
The problem
Finding profitable products for resale is time-consuming and risky. Beginners often source items with thin margins, high competition, or slow turnover rates that lock up capital.
What it does
- Scrapes and compares retail prices from Amazon/Walmart against wholesale costs on Alibaba.
- Analyzes Google Trends and platform-specific listings to gauge real-time demand and competition.
- Calculates per-unit profit, margins, and estimated turnover speed in days.
- Assigns an S-to-C grade based on margin thresholds, demand heat, and barrier to entry.
- Generates listing keywords and pricing strategies for platforms like Facebook Marketplace, eBay, and Poshmark.
Why this beats prompting it yourself
This skill enforces a rigorous financial model and cross-references data across multiple marketplaces simultaneously. It prevents emotional bias by requiring specific margin thresholds before recommending a product.
Use cases
- Evaluating a garage sale find to see if it is worth the effort of listing.
- Researching potential dropshipping niches with current Google Trends data.
- Identifying high-margin categories for a side-hustle on Facebook Marketplace.
- Analyzing seasonal demand shifts to avoid holding dead inventory.
Known limitations
Market data consists of estimates based on public listings. Users must manually verify final shipping costs and local platform fees for exact net profit.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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