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Explore powerful simulation algorithms for System Dynamics and Agent Based Modeling. Use System Dynamics to gain insights into your system and Agent Based Modeling to dig into the details. Types of Modeling

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Explore What Others Are Building

Here is a sample of public Insights made by Insight Maker users. This list is auto-generated and updated daily.

Insight diagram
Revisited Conceptual map (Directed Cyclic Graph) of Applied Category Theory as practised by Osgood, Rosiak, Spivak and Baez, based on my Apr 2026 Gemini interaction using Gene Bellinger's AI prompts
Synthesis of Applied Category Theory Sheafs and Model Practice
3 weeks ago
Insight diagram
A visual look at using technology in school based on the article:

 Levin, B. B., & Schrum, L. (2013). Using systems thinking to leverage technology for school improvement: Lessons learned from award-winning secondary Schools/Districts. Journal of Research on Technology in Education, 46(1), 29-51. 
Using Systems thinking for technology in education
Insight diagram
Simplified system dynamics model of the global carbon cycle. The model represents carbon exchange among four aggregated reservoirs: atmosphere, terrestrial biosphere, surface ocean, and deep ocean. Fossil fuel emissions enter the atmosphere as an external forcing, while internal flows redistribute carbon between the atmosphere, land, surface ocean, and deep ocean. The model is intended to explore transient behavior, natural carbon sinks, atmospheric carbon persistence, and the long-term regulating role of the ocean.
AR6 GlobalCarbonBalance
Insight diagram
Examples of reinforcing and balancing loops enhanced with images to maybe them more visually engaging.
@LinkedInTwitterYouTube
Causal Loop Structures
Insight diagram
World4 is a predictive model for world population. Population has grown hyper-exponentially in the last millenium, with the doubling time decreasing from 900 years  in 1000 CE to a minimum of ~35 years in 1963 CE. Technology is defined as that which decreases the death rate and/or increases the effective birth rate (i.e. by decreasing infant mortality). Technology grows exponentially, therefore population fits a hyper-exponential (exponent within an exponent). Models for the end of growth are explored using equations that express the ways humans are depleting Earth's biocapacity, the nature of resource depletion, and the relationship between natural resources and human carrying capacity. This simple model, containing just two closed systems, captures the subtle shifts in the population trajectory of the last 50 years. Specifically, hyperexponential growth has given way to subexponential growth. A peak is predicted for the time around 2028.  [Bystroff, C. (2021). Footprints to singularity: A global population model explains late 20th century slow-down and predicts peak within ten years. PloS one, 16(5), e0247214.]
World4.5
22 5 months ago
Insight diagram
Temperature Stress Mortality Simulator: for the older (70+ years) population of Dorset, Bournemouth and Poole, UK, using the UKCP09 SRES A1B Emission Scenario.
Temperature Stress Mortality Simulator V2.1