Aetherya

Simulate your audience before you launch.

User Experience

Artificial Intelligence

Vercel Day

Hey Product Hunt! I'm Andrei, the founder of Aetherya. Before publishing this launch, we tested the launch itself with Aetherya. We compared two ways of explaining the product and simulated reactions from founders, product managers, marketers, UX researchers, agency strategists, and skeptical AI buyers. Aetherya predicted which message would create more clarity and trust, identified the objections most likely to stop people from trying the product, and helped us change the launch before publishing it. That's what Aetherya is built for. Research often asks people what they think they would do. Analytics tells us what they already did. Aetherya simulates the difficult layer in between: misunderstanding, hesitation, skepticism, shifting trust, and the friction that determines whether someone continues or leaves. You can use it to test: — landing pages and customer journeys — advertisements and campaign concepts — pricing and positioning — products and features — launch messaging and strategic decisions You define the audience and context, run the simulation, and inspect both audience-level patterns and the individual decisions behind them. Aetherya is not intended to replace real customers or human research. It is a pre-flight simulation layer designed to expose likely failure points before real money, traffic, or development time is committed. During this launch, we will compare: — What Aetherya predicted. — What Product Hunt visitors actually did. — Where the simulation matched reality. — Where the simulation was wrong. You can run your first experiment without booking a meeting or speaking with sales. The feedback I value most is direct criticism: — Which insight was genuinely useful? — Where did the output feel generic or incorrect? — What evidence would make you trust or reject the result? Finding where Aetherya fails is more useful than polite approval.