Launching today
Pawse.ai
An acoustic regulation system for dogs
48 followers
An acoustic regulation system for dogs
48 followers
Most dogs left alone for four or more hours show measurable stress responses. Most apps respond with playlists. Pawse.ai is an acoustic regulation system for dogs. It plays scientifically structured audio through your Apple TV or iPad while you're out, frequencies and patterns calibrated for canine hearing, not human preference. You start and stop it from your phone, anywhere. BETA TestFlight links live on https://pawse.ai Five modes: Sleep, Home Alone, Loud Noise, Travel, and Vet Visit.
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 (180 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 (469 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 (792 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.