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Auto

Auto is your AI camera. Turn your photos into Frames – mini apps that help you everyday.

Building @autoaicam. Prev. Eng. Director @ Snap: Games, Minis, Bitmoji, Snap Kit. Prev. co-founder @playcanvas (acq. by Snap)
Los Angeles1.3K followers
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Can be bit more engaging.

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Auto is an iOS camera app that turns any photo into a "Frame," a single-purpose mini app that acts on what it sees. Point the camera at a meal to log calories and macros, a plant to get care advice, an outfit to rate it, a receipt to split a bill, or a parking spot to remember it later. Auto reads the photo and suggests a Frame, picking the right action at the right time, with each Frame built to do one thing well like calories tracked, outfit rated, or plant identified. The launch is aimed at people whose camera rolls are full of photos they never do anything with, and at creators who want to ship a small visual tool without writing an app from scratch. The directory of Frames is open. Popular community-built Frames already include a Meal Tracker, Plant ID, Fit Check, Skin Care Assistant, Group Bill Split, Haircut Studio, a Collector's Shelf for cataloging CDs, games and figures, a Parking Reminder, Virtual Try-On, and a Travel Log , each credited to an individual maker. If a user cannot find the Frame they need, they can build their own and share it, which positions Auto as a lightweight platform for camera-first apps rather than a single fixed utility. The company is led by David Evans, who is building Auto in Los Angeles with co-founder Sam. Both previously worked on camera and creator products at Snap, where Evans was an engineering director across Games, Minis, Bitmoji and Snap Kit after the acquisition of his earlier company PlayCanvas. That background shows up in the product's bet, that the phone camera is an underused sensor and that letting users and creators wrap it in tiny task-specific apps is a more useful default than a generic chat interface. Auto is live on the App Store now.
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B2C<500KProduct launchDemoUSVertical AIFounder-led
Comments (13)
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Priya Raghavan4/27/2026

Point-a-camera-at-it as the universal interface is a thesis I keep seeing rhyme with what Rewind and Particle were chasing. Curious if the Frames marketplace becomes the moat or the distraction.

Tomáš Krl4/27/2026

The video cuts hard at the calorie demo before showing the actual number, which made me rewind twice. Either trust the result or don't show the plate.

yuki d.4/27/2026

The Frame card UI has lovely corner radii but the shadow under the photo thumb is fighting the app icon shadow. Pick one light source and commit.

Obioma Nwafor4/27/2026

Cute demo but who moderates the Frames? One sketchy try-on Frame and the App Store review team is in your DMs by Tuesday.

Frida Lindqvist4/27/2026

Anyone here know Auto's hiring bar? Have a brilliant CV engineer in Lisbon who ships and would eat this stack for breakfast.

Lars Bergström4/27/2026

Would love to know what % of first-photo users actually build their own Frame vs picking a community one. Bet the long tail looks brutal.

Mei-Lin Cho4/27/2026

Builder-to-consumer ratio in every UGC platform is roughly 'lol' to 'everyone else', this won't be different.

Arman Tahir4/27/2026

"Auto is your AI camera" buries the lede. Try: "Point. Shoot. App." and put the Frames idea in line two where it can breathe.

Helena Vasiliou4/27/2026

The economics question nobody is asking: who pays for inference when grandma points it at every leaf in her garden? Free tier is going to sting.

deedee0x4/27/2026

obvious answer is a Frames token where creators earn per invocation, you're welcome

Ravi Subramanian4/27/2026

This might be the last 'tap to do a thing' app shipped before everything is just an agent watching your camera roll passively. Enjoy the discrete UX while it lasts.

Sasha Volkov4/27/2026

Tweet thread peaks at bullet two then dies, the try-on demo should have been the cold open and the calorie thing the payoff. Pacing fumble on a great product.

Dr. Adaeze Okoro4/27/2026

Is the Frame selection a vision-language classifier over a Frame embedding index, or are you doing tool-routing through an LLM? Asking because the latency in the demo felt suspiciously good.