Pawse.ai
An acoustic regulation system for dogs
139 followers
An acoustic regulation system for dogs
139 followers
Every calming sound ever made for dogs was mixed for human ears. Human hearing stops near 20 kHz. A dog hears to about 45 kHz. Pawse.ai generates sound for the dog as it plays, shaped by breed, age and sensitivities. There is no catalogue.
Your iPhone or iPad is the controller, not the speaker. A paired Apple TV plays on after you leave, and your iPhone can stop it from anywhere. Five environments. Sleep, Home Alone, Loud Noise, Travel and Vet Visit. Sleep is free. Coming to the App Store.
Products used by Pawse.ai
Explore the tech stack and tools that power Pawse.ai. See what products Pawse.ai uses for development, design, marketing, analytics, and more.
Productivity 1
Productivity 1
BbeditLeading professional HTML and text editor for macOS.
5.0 (5 reviews)
BBEdit has been the reliable fallback for 30 years for a reason. Fast, stable, handles any file size without complaining. We used it for the moments when you just need to open a file and edit it without an IDE making decisions for you.
Engineering & Development 3
Engineering & Development 3
XcodeDevelop, test, and distribute apps for all Apple platforms
5.0 (224 reviews)
Pawse.ai runs on Apple TV and iOS. Xcode is the only real option for that stack, no alternative gets you the same depth of integration with AVFoundation, which is core to how we handle audio sessions and keep the app alive between uses. It's not glamorous but it's the right tool.
Claude CodeAnthropic’s deep-context AI coder
5.0 (774 reviews)
Claude Code became our go-to for the parts of building that usually slow everything down: debugging, iterating on UI, writing copy. It's the first AI tool where I felt like I was working with something that understood context rather than just completing prompts. Saved us weeks on the marketing and frontend work so we could stay focused on the audio science.
SupabaseThe open source Firebase alternative
5.0 (909 reviews)
Supabase gave us a real-time backend without the infrastructure overhead. The Postgres foundation meant we weren't locked into a proprietary data model, and the realtime channels were exactly what we needed to push session commands from phone to Apple TV instantly. Setup to production in a day. For a small team moving fast, that matters.