Simulithic turns a company's session data into thousands of simulated user agents that behave like real cohorts (skimming, hesitating, and abandoning carts at the same rates), so teams can predict how any product change will perform before shipping. It connects to session tools like Clarity and PostHog (or offers its own), builds a population from the last 90 days of sessions refreshed nightly, and returns predicted lift and confidence intervals in minutes rather than weeks. It is a Y Combinator F2026 company founded by Ryan Ning and Satyam Singh.
Simulithic offers a unique service that transforms a company's session data into thousands of simulated user agents. These agents mimic real user behavior, such as skimming, hesitating, and abandoning carts, allowing product teams to predict how changes to their products will perform before they are implemented.
Key features of Simulithic's offerings include:
Simulation of User Behavior: The platform generates simulated user agents that behave like actual cohorts, providing realistic predictions based on historical data.
Integration with Session Tools: Simulithic connects seamlessly with session analysis tools like Clarity and PostHog, or it can utilize its own session data collection methods.
Rapid Predictions: The service builds a population from the last 90 days of session data, which is refreshed nightly, enabling teams to receive predicted lift and confidence intervals in minutes rather than weeks.
Targeted for Product Teams: The primary users of Simulithic's services are product teams, growth and experimentation teams, A/B testing teams, and product managers, all of whom benefit from the ability to test hypotheses quickly and effectively.
Benefits of using Simulithic include:
Overall, Simulithic's innovative approach to simulating user interactions allows companies to optimize their products and enhance user experiences efficiently.