App that reveals latent demand for objects around you
Problem
The internet has no idea most physical objects exist unless someone lists them for sale. People own items (old cameras, electronics, furniture) that others are actively searching for, but there is no signal connecting dormant owners with would-be buyers.
Opportunity
An app that scans/identifies objects via photo and cross-references marketplace search volume, eBay sold data and wish-list signals to tell owners 'people are looking for this right now' — turning dormant closets into listings only when demand is proven.
Market analysis
A compelling two-sided concept with a viable MVP shell: photo recognition is commoditized, and eBay sold-price data (including image-based lookup via scrapers) plus barcode lookup services already exist as building blocks. Search found no direct consumer product doing 'passive scan of your stuff, ranked by demand', so the whitespace is real — but the data moats (marketplace search volume, wish lists) are locked inside eBay/Poshmark/Facebook, and marketplaces actively fight third-party demand surfacing because it aids sellers, not them.
Market · Casual sellers, resellers and declutterers; the resale-economy wave is a tailwind, but casual sellers monetize poorly.
Pricing · Adjacent tools are free or cheap (barcode lookups free tier; Apify scrapers pay-per-use); realistic model is free scans with a cut or fee on listing, or $3–5/mo for resellers who use it professionally.
Pros
- + No direct consumer equivalent found — the 'dormant item demand radar' framing is fresh.
- + MVP can be assembled from existing parts: CLIP-style image matching over eBay sold listings, barcode APIs.
- + Proven-demand framing flips selling from chore to opportunity, a strong emotional hook.
Cons
- − Marketplace search-volume and wish-list data is not publicly accessible; eBay terms prohibit casual scraping.
- − Photo-to-listing matching is noisy for unbranded objects (furniture, clothing) where demand signal matters most.
- − Casual sellers transact rarely, making subscriptions hard; resellers already have their own tooling.
Existing / similar tools
Source
r/SomebodyMakeThis (Reddit)
The hard part is not recognition, it is the demand signal: sold-price history is backward-looking and obtainable, but ‘500 people are currently trying to find this’ requires watch-count and search-frequency data that eBay restricts and no marketplace will license to a third party that helps sellers negotiate. The buildable version is therefore an inference engine — sold velocity, listing-to-sale ratios, price trends — presented honestly as a demand proxy rather than the mind-reading promise of the original pitch. The sharpest wedge is the reseller use case (what should I source at this estate sale?) where users pay for speed and already accept approximations; the casual-closet version is a better story than a business.