Hey dev.to community!
If you are like me, you love messing around with tech, refurbishing old hardware, or flipping IT equipment as a side hustle. But let's be honest: manually calculating margins on eBay, checking price histories, and avoiding overpriced listings is an absolute time-sink.
To solve this, I built Fehr Algorithmus – a browser extension that injects a real-time data analysis dashboard directly into any eBay listing.
Here is why I built it, what it does under the hood, and why you should try it out if you do any tech sourcing.
🛠️ What the Extension Does
The extension acts as a smart layer on top of eBay, optimized specifically for IT and tech deals. Instead of scraping comparison sites manually, the tool gives you an instant layout of the vital signs of any listing:
Instant Median Pricing: It extracts the item's specifications and compares the current price against the market median (e.g., seeing a €540 MacBook next to a €265 median instantly flags a bad deal).
Automated Risk & Repair Assessment: It scans the listing details to classify the condition (e.g., "Kein Reparaturfall") and calculates an overall sourcing risk level (Low/Medium/High).
Status & Action Indicators: It tells you exactly what to do with flags like RESEARCH_ONLY, saving you from wasting capital on low-margin flips.
Affiliate & Partnerlink Checks: It detects if a listing provides clean affiliate validation or needs further user intent before generating links.
💡 Why You Should Install It
Stop Overpaying on Bad Deals: The UI immediately tells you if a price is mathematically implausible for resale.
Zero Tab-Switching: All the scraped data, seller stats (like 100% feedback), and item numbers are grouped into one compact, readable sidebar widget.
Optimized for Tech Assets: While generic price trackers look at everything, this algorithm is specifically tuned to handle complex IT specs (like distinguishing an i9 processor, 32GB RAM, and 1TB SSD configurations).
👉 Check it out: https://chromewebstore.google.com/detail/fehr-algorithmus-ebay-ana/jkhefpdlgmalpdpdlbaenckegagjhbda
I'd love to get your feedback on the UI/UX and features. What data points do you usually look for when sourcing tech online? Let me know in the comments!
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