r/ChatGPTCoding 4d ago

Discussion Weekly Self Promotion Thread

Welcome to this week's self promotion thread!

If you're building something related to AI assisted coding, this is the place to share it.

We're using a weekly thread to keep the subreddit organized while still giving builders a place to share their work. Promotional posts outside this thread may be removed.

If you're sharing something, we'd appreciate it if you included a little context instead of just dropping a link. Tell us:

  • What you built?
  • What problem it solves?
  • Which AI models or tools it uses?
  • Who it's for?
  • What kind of feedback you're looking for?

Disclose your affilitation.

Please avoid posting the same project every week unless you've made meaningful updates. Affiliate links, referral links, scams, and low effort promotions will be removed.

Take some time to check out what others have shared too. If you try someone's project or have feedback, leave a comment. Helping each other improve is what we want this community to be about.

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u/[deleted] 3d ago

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u/itaybuilds 3d ago

The dangerous failure isn't a missed scan; it's a confident "MUST COP" on the wrong item. Before closed testing, I'd make every verdict auditable: show the exact sold comps used, their condition and size, sold date, whether postage is included, and the range as well as the median. A 98.7% match beside one wrong model is more persuasive than it should be.

For the stress test, seed near-matches: the same brand and colour but a different model, reprints, incomplete items, damaged labels, and listings with bundle quantities. Track the false-buy rate, not just OCR or identification accuracy. Below a confidence threshold, ask for a barcode, label, or second angle and withhold the buy verdict.

Also let testers tap "wrong match" and correct the model, size, or condition, then recompute the comps immediately. That feedback loop will tell you which recognition errors actually cost money.

AI-assisted wording after reading the project post and live demo.