sound.fan ships tools that simulate audience reactions, surface interpretation risks, and show how different audiences read the same signal. Built in the lab. Stress-tested in live rooms.

Every message you send lands differently across the audiences receiving it. Most teams discover that split after launch — in the comments, the press cycle, the customer churn. sound.fan is built to make the split visible before launch, while there's still time to rewrite.

Our systems are shipped from the Humor Genome research program and stress-tested at the Midtown Show live lab before they reach you.

Currently shipping: Backlash Predictor — a multimodal AI tool that scans campaign materials, simulates audience reactions, surfaces backlash risks before launch, and suggests targeted rewrites without flattening the creative voice. Built for brand, comms, and marketing teams who need to ship bold work without shipping blind.

Joint ventures — these are working prototypes with clear markets, looking for co-founders who bring the domain, distribution, or operational muscle to scale:

- Backlash Predictor (Enterprise) — campaign risk analysis. Looking for a co-founder with enterprise sales and brand safety, PR, or marketing connections.
- Room Sense (Enterprise) — live audience simulation adapted for corporate communications, executive coaching, and high-stakes presentations. Looking for a partner in corp comms, HR tech, or coaching.
- Interpretation Analytics API — developer infrastructure for audience modeling as a service. Looking for a technical co-founder to build the API and developer experience.

If you're a builder, operator, or partner who wants to take audience-perception systems to a real market, we'd like to talk.

sound.fan

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