Airwave

• The description states Airwave is a macOS application.
• It provides system-wide spatial audio through headphones.
• It is compatible with HeSuVi HRIR and Equalizer APO presets.
• It uses a process-tap pipeline tied to the selected physical output.
• It supports HRIR convolution and optional parametric EQ.
• It includes three built-in HRIR presets: NeutralSH1.0, RoomSH1.0, StageSH1.0.
• It also includes EqualizerAPO-format presets for bass, treble, and vocals.
• Users can import compatible HeSuVi HRIR WAV files and EqualizerAPO configuration files.
• The public HeSuVi HRTF Database lists more than 700 HRIR entries that Airwave can work with when downloaded in a compatible format.
• It requires macOS 15 or later, stereo headphones, and System Audio Capture permission.

Inference The product is an audio processing tool for macOS users seeking enhanced spatial audio experiences through headphones. The author describes its technical architecture as real-time, optimized to avoid allocation, waiting, filesystem access, logging, and Core Audio operations during callback paths.

• The description states Airwave is a macOS application that provides system-wide spatial audio through headphones.
• It supports HeSuVi HRIR and Equalizer APO presets.
• The author claims it was built using Codex with GPT-5.6, indicating AI-assisted development.
• During Build Week, the product evolved from an early version depending on a virtual audio device to one using a process-tap pipeline.
• It includes lifecycle recovery behavior and audio-safety features.
• The UI was rebuilt end-to-end, including onboarding flow with audible System Audio Capture test.

Inference Airwave positions itself as a tool for macOS users who want spatial audio customization via headphones. Its evolution suggests an iterative approach to improving performance and usability, possibly driven by AI-assisted development.

• The description does not state specific target customer segments or personas.
• It implies use by individuals on macOS who seek spatial audio experiences through headphones.
• It requires stereo headphones and System Audio Capture permission.
• No mention of enterprise, professional audio users, or specific demographics.

Inference The likely user base is individual macOS users interested in spatial audio customization. However, no explicit ICP or customer segmentation was provided.

• The description does not state a business model or pricing strategy.
• Airwave is distributed as an unsigned app through Homebrew and GitHub Releases.
• No mention of subscription, licensing, or monetization methods.
• It does not require an account or microphone access.

Inference There is no evidence of a commercial business model or pricing structure. Distribution appears to be open-source or freemium-style with no apparent revenue mechanism.

• Built with: codex, core-audio, gpt-5.6, macos, swift, swiftui.
• Uses a process-tap pipeline tied to the selected physical output.
• Handles permission changes, output changes, sleep/wake, quit, failed cleanup, and stale callbacks.
• Falls back to native audio or provides recovery guidance when processing cannot continue safely.
• Real-time callback path avoids allocation, waiting, filesystem access, logging, and Core Audio operations.
• XCTest coverage includes callback sizes, finite output, canary safety, crossfades, processing order, and lifecycle recovery.
• Profiles are stored per physical output.
• Includes three built-in HRIR presets and EqualizerAPO-format presets.
• Supports import of HeSuVi HRIR WAV files and EqualizerAPO configuration files.
• Xcode profiling shows normal-sized HRIRs use 0% to 2% CPU during playback.
• Repository includes implementation, tests, setup instructions, release configuration, and dated commits showing Build Week changes.

Inference The technical implementation is robust for a macOS audio application. It demonstrates attention to performance optimization and safety in real-time processing. The use of AI tools like Codex and GPT-5.6 suggests a modern development approach.

• The project was submitted to the OpenAI 2026 hackathon on Devpost.
• It started as an experiment in late 2025.
• During Build Week, it underwent significant refactoring and feature additions.
• It is distributed via Homebrew and GitHub Releases.
• No mention of user adoption, downloads, or usage metrics.
• No evidence of revenue, customers, or market traction beyond the author’s own development.

Inference There is no evidence of user traction or commercial maturity. The project appears to be a personal or experimental effort with no verified adoption or monetization.

• The description does not mention competitors.
• It supports HRIR convolution and parametric EQ, which are features found in some audio processing tools.
• No direct comparison to existing spatial audio software or platforms is made.

Inference No competitive landscape is described. The author does not reference similar products or market positioning relative to others in the space.

• The product is distributed as an unsigned app, which may raise security concerns for users.
• No evidence of user feedback, reviews, or community engagement.
• No mention of scalability, long-term support, or roadmap beyond Build Week.
• The author is a single individual (team size: 1), suggesting limited resources for growth or maintenance.
• No indication of monetization strategy or commercial viability.

Inference The lack of traction, business model, and team size raises questions about the product’s potential for commercial success or long-term sustainability.

1. What is the intended user base beyond personal experimentation?
2. Are there any plans to monetize Airwave or build a sustainable business around it?
3. How does Airwave handle compatibility with different audio hardware or macOS versions beyond what’s described?
4. Has there been any user testing or feedback collected since its release?
5. What is the long-term vision for Airwave, and how does it plan to evolve beyond its current scope?