Your Restaurant Is Blind. Three Kids in Myrtle Beach Gave It Eyes.

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Sixteen cameras. One dining room. Zero humans watching the feed.

That is a full-service restaurant at 7:45 on a Saturday. The manager is in the walk-in counting a case of limes. The host is on the phone with a party of nine who is not coming. Table 23 has been dirty for nine minutes. A four-top stands by the door holding a buzzer like a grenade with the pin already pulled.

Nobody sees any of it. The room is a blind machine.

I found three kids in Myrtle Beach, South Carolina who taught the cameras to see. Not San Francisco. Myrtle Beach. Salt air, minigolf, and a dining room that runs on instinct and a clipboard.

Cameron Kuperman worked the floor for years before he ever wrote a line of production code. He also did spintronics research on the inverse Stern-Gerlach effect, because of course he did, and triple majored in Math, ECE, and CS at Duke. Harshith Guduru built software at Walmart Global Tech, published reinforcement-learning security research, and has a graph-cancer paper in Nature. Alex Tabaku spent four years in restaurants, then went to Clemson to study mechanical engineering and math and work on vision-language-action models for robots that pick up identical, clustered objects.

Three people who know exactly what a Saturday night feels like from the inside, plus one more on the team. That is the whole company.

The machine that watches the room

Shire is an AI floor manager. It runs on the cameras the restaurant already bought and already forgot about.

It sees what a great manager sees. A guest with a closed menu. A table waiting on a check. A four-top that needs clearing. A server who just got double-seated because the host was guessing. Then it acts: it pings the busser, routes the task, and seats the next party with the server who actually has room.

No new hardware. No six-figure buildout. A camera angle, a POS feed, and a video model that understands a dining room the way a lifer does.

The numbers they are putting on the page: $40K+ average annual savings, 14% more covers per month, 7 minutes faster table turns. One operator, Besim at Mathews Restaurant, claims Shire saved him $65,000 on card processing alone. Carolina Seafood & Steak, Mimosas Southern Kitchen, The Knot at Windy Hill, Matthew's Pancake House. All real rooms, all on the coast.

Pricing starts at $40 a month. Forty dollars. That is two entrées and a bad bottle of wine.

Three founders, one model, no hardware

This is what the AI era actually looks like when it stops posing. Three technical founders, one extra body, a stack of pretrained vision models, and a deployment that fits in a Tuesday. They are in NVIDIA's Inception program. They ship a POS, a host system, a kitchen display, and an ops assistant on top of the same visual layer, which means every new room makes the next install cheaper and the model sharper.

The hard part was never the detection. The hard part was the judgment: what a dirty table means at 8:10 versus 4:10, which check is actually late and which guest is just nursing a coffee. They learned that by carrying trays.

"When the Apple II came out, the thing that made Apple was the first commercial usable version a non-engineer could use. That moment hasn't happened yet for AI."

Garry Tan, via TheFoundersPack

That is the whole bet. A host stand in Myrtle Beach is not going to read a whitepaper. It needs a screen that says table 9 has not been greeted in four minutes.

The pack is the product

Here is the part nobody at a demo day says out loud. Shire gets better because the restaurants are a pack.

One camera in one dining room teaches you almost nothing. Four hundred dining rooms teaching the same model what a bus tub looks like at closing time is a moat you cannot buy. Independent operators, the ones who cannot afford a corporate ops team, end up sharing the most valuable thing in the building: the eyes.

That is the keiretsu lesson wearing a server apron. The Japanese houses pooled capital and talent. Shire pools perception. Each owner keeps his own room, his own menu, his own margins, and still benefits from what every other room taught the machine. Cooperation without collectivization. Nobody surrendering the deed.

And the ground truth is already there. Every restaurant has a ceiling full of cameras. Somebody finally pointed them at the work instead of the register.

Same shape as any pack, by the way: a small crew betting on a vision nobody else can see. That is the Genflick story too... an AI filmmaking agent that lets three people ship what used to take a studio, from the first frame to the final cut. If you are building something with a tiny team and an unreasonable idea, go mess with it free at www.genflick.com.

Who they are

Cameron Kuperman ... Founder / CEO Years on the restaurant floor. Spintronics research on the inverse Stern-Gerlach effect. Triple major, Math + ECE + CS, Duke. LinkedIn: /in/cameron-kuperman

Harshith Guduru ... Founder / CTO Software engineer at Walmart Global Tech and Bastazo. Published RL cybersecurity research and graph-cancer research in Nature. CS + EE, Duke. LinkedIn: /in/harshith-guduru

Alex Tabaku ... Founder / CFO Four years working restaurants. Vision-language-action model research on path finding for clustered, identical objects. Mechanical Engineering + Math, Clemson. LinkedIn: /in/alex-tabaku

None of the three keeps a public X account. They are too busy watching the floor.

Links:YC Profile | Website | LinkedIn | Partner: Grey Baker | Batch: Fall 2026

The dining room has been talking for a hundred years. Nobody was listening. Three kids from South Carolina put a microphone on the ceiling and finally heard it.