A creator best known for filming squirrels on his LA patio just built the hottest camera app of 2026. According to The Verge AI, Derrick Downey Jr.’s DualShot Recorder hit number one on the App Store’s top paid apps list within 12 hours of launch and held that spot for eight straight days. What stands out here is that Downey isn’t a software developer. He vibe-coded the whole thing with help from Claude.
Downey built his following documenting his interactions with regular squirrel visitors like Maxine, Richard, and Hoodrat Raymond, racking up over a million followers each on Instagram and TikTok. The app came out of a real production headache. He wanted to launch a YouTube series and needed a way to capture vertical and horizontal footage at the same time. Rigs with multiple phones, gimbals, and cropping in post all let him down. Cropping a vertical clip out of an already-cropped video frame on the iPhone meant losing huge chunks of sensor resolution.
What DualShot Recorder Actually Does
The app taps into Apple’s camera API to pull from the full sensor readout, then saves both horizontal and vertical crops in-camera without sacrificing resolution. The Verge AI reports the feature set is deliberately stripped down:
- Simultaneous horizontal and vertical recording from a single sensor pass
- Granular controls over quality and resolution
- Dual-camera recording from two cameras on the same device at once
- No subscription, no user data collection, videos stay on-device
- One-time purchase, currently priced at $9.99 (launched at $6.99)
That last point is the kicker. In a market drowning in subscription camera apps that hoover up telemetry, Downey shipped a flat-fee tool that doesn’t phone home.
How a Non-Developer Shipped It
Downey first tried building the app with ChatGPT last year. It went nowhere and he shelved it. Earlier this year he came back to it, and this time the camera actually activated. He experimented with Google’s Antigravity along the way, but he tells The Verge AI that Claude was the tool that finally made the project work. Three or four months of prompt engineering later, he had a shippable app.
He’s also candid about the limits of vibe coding. “You would think that because you’re giving the prompts to this machine that it would give you accurate data. But I found that not to be the case,” he says. His workaround is to double-check and triple-audit everything the model produces.
This is significant because it’s a clean case study of what AI-assisted development looks like in practice for a domain expert who isn’t a coder. Downey understood the problem deeply. He knew what he wanted the app to do, what the camera API could expose, and how creators actually work. The AI handled the syntax. The human handled the judgment.
The Tradeoffs
The no-data-collection stance has a downside. Downey told The Verge AI that the lack of telemetry has made it harder to pin down and fix bugs. He’s now building an opt-in error reporting feature so users can send crash details when something breaks. That’s the privacy-versus-debuggability tradeoff most app developers paper over by just collecting everything. Downey is doing it the harder way on purpose.
He’s also figuring out what comes next. Running a hit app while maintaining a content channel and caring for the squirrels is a lot. “It’s a lot of new things coming up, and I’m embracing that,” he says.
Why It Matters
Two things worth flagging. First, Apple’s camera API has been sitting there for years, but it took a creator with a specific filming problem to ship the app that finally uses full sensor readout for multi-aspect-ratio capture. Domain pain plus AI tooling is shipping software that traditional dev shops missed. Second, a $9.99 one-time purchase with no data harvesting just topped the App Store. That’s a market signal worth watching.
Full details on Downey’s process and the app’s reception are at The Verge AI.