HAMMOQ and the mountain of unlisted things

Ty Blunt had become very good at finding things other people overlooked. Nintendo games. Antiques. Merchandise with enough daylight between the purchase price and the selling price to make the hunt worthwhile. His resale business approached $2 million in annual revenue, according to investor Origin Ventures. He was living in the warehouse that held his inventory. Then the inventory started making demands of its own.

Each find brought homework: identify it, describe it, list it, track it, remove it when sold. The administrative burden consumed time Blunt needed for sourcing. He co-founded HAMMOQ with Siddharth “Sid” Lunawat to tackle that problem. The origin is revealing. A treasure hunter had run into the limits of typing.

The warehouse writes the brief

HAMMOQ occupies a peculiar corner of commerce. A conventional retailer can write one description for a product and sell many identical units. A secondhand seller often gets one unit, in one condition, with one set of missing details. The next shirt starts the exercise again. A pile of merchandise is also a queue of little research assignments.

The company’s expertise combines Lunawat’s machine-vision background with Blunt’s resale experience. Its early financing announcement described software serving hundreds of reseller businesses. The ambition was infrastructure: help sellers do the recurring work around marketplaces, rather than build another destination where shoppers browse.

“the more you list, the more you sell”

Sid Lunawat / 2021 company announcement

That sentence captures the founders’ operating instinct. An item awaiting a description has no online audience. Listing becomes a constraint on how much stock a business can expose to demand. Buying another pallet can make the constraint larger.

Every shirt is its own catalog

HAMMOQ’s Listing Solution starts with photographs. Machine vision identifies attributes and categories; generative AI produces titles and descriptions. Its published workflow also includes virtual-assistant review, followed by seller approval and publication. The interesting engineering sits between the image and the finished marketplace record: turning visible clues into fields a selling system can accept.

Infinity AI brings a related capability into a Chrome extension. It autofills item specifications inside supported workflows, with eBay and Upright named on HAMMOQ’s website. New users are offered 100 credits, then additional credits or plan upgrades. This is business software sold around usage. Larger operations are invited into a demo-led sales process.

Photography is another part of the proposition. HAMMOQ markets a conveyor-based system for capturing multiple product views. That broadens its scope beyond writing copy: a busy operation has to produce usable pictures before any model can help describe them. Consistency at that first step matters to everything downstream.

The experiment behind the promise

One early customer makes the bottleneck tangible. In HAMMOQ’s June 2022 announcement, Flip the World owner Chris Hatfield reported producing about 40 to 50 listings a week before using the service. His store grew from roughly 500 items to more than 2,000 in under two months, while weekly listing output more than doubled.

Useful evidence, with boundaries. It is a customer account carried in a company announcement, rather than a controlled comparison. More listed stock does not establish how much sold, or at what margin. But it does identify the task the customer wanted off his plate: getting inventory online after sourcing, cleaning and photographing it.

Investors backed that operating thesis. Origin Ventures led a $3 million seed announced in June 2021. A year later, HAMMOQ announced $24 million in combined equity and debt financing, led by Sierra Ventures with Origin participating. The stated total at that point was $27 million. Those are financing figures; they do not tell a seller what the software will cost.

The price tag gets a memory

The product story now extends into decisions made before publication. HAMMOQ describes pricing workflows that draw on a store’s historical selling prices and sell-through, with category and location differences informing recommendations. Its returns offering applies business rules to routing: resell, relist, liquidate or salvage, then move the resulting data into operating systems.

This places HAMMOQ between intake, inventory software and selling channels. Vendoo and List Perfectly offer overlapping listing and inventory tools; List Perfectly also offers AI-generated listings. HAMMOQ’s distinctive pitch is the combination of identification, photography and operational decision-making around used goods. Buyers should compare the actual workflow they need, including review and integration.

There is a sustainability rationale behind that work. Google included HAMMOQ in its inaugural Circular Economy accelerator cohort in 2023. Making resale less laborious can help usable items find another buyer. The environmental outcome still depends on what happens to the goods; generating a description alone does not keep a garment in use.

Start with a stopwatch

The lesson a reader can borrow is wonderfully unglamorous. Take a mixed batch of 100 items. Measure the entire journey to a correct, live listing. Count corrections, handling time and what remains after fees, labor and shipping. HAMMOQ itself recommends bounded pilots in its operational writing. A fast draft is only one part of the experiment.

The economics weaken when items have little resale value, photographs hide defects, or pricing recommendations lack useful sales history. Physical inspection still has a job. So does checking a model’s confident description. The attractive result is a repeatable process that leaves the seller more time for judgment - and the next interesting thing on the shelf.