MancoMen

What is MancoMen?

MancoMen is a software studio based in Bogotá, Colombia, that develops Nodeself, a behavioral modeling engine. It maps personal change as a living graph by connecting habits, emotions, and decisions into a causal network. Users write naturally about their day, and Nodeself extracts signals to reveal the structure behind their behavior patterns. It is designed to show how behavior changes over time, focusing on relationships between actions rather than simple streaks or counts.

Application scenarios

Personal habit analysis
Users can write about their daily habits and see how they influence one another in a graph.
Emotional state tracking
Describing emotions in natural language helps uncover hidden relationships between moods and behaviors.
Decision impact mapping
Users can explore how one decision affects other parts of their behavioral system.
Behavioral simulation
Users can simulate what might happen if a behavior improves, weakens, or disappears from the system.
Change visibility
People trying to change can see the structure of their progress, resistance, relapse, or collapse before experiencing the consequences.

Core Features

Natural language input
Users write about their day, habits, or state of mind without forms or templates.
Graph-based mapping
Nodeself turns input into a connected graph of behaviors, states, and patterns.
Causal modeling
The system reveals how behaviors shape one another, not just what you do.
Decay engine
Silence is treated as data—when something stops being reinforced, the graph changes to show what fades.
Forward simulation
Users can explore what may happen if a behavior improves, weakens, or disappears.
Real-time evolution
The graph evolves over time, showing what strengthens and what influences what.
No streak counting
Nodeself models connections rather than counting repetitions or points.

Target users

Nodeself is built for individuals who want to understand and change their behavior beyond surface-level tracking. It is suited for self-improvement enthusiasts, people struggling with habit formation, and anyone interested in behavioral psychology. Professionals like coaches, therapists, or researchers might also use it to visualize behavioral dynamics.

How to use MancoMen?

To use Nodeself, you write naturally about your day, habits, or state of mind in the app. The system then maps your input into a graph of connected behaviors and patterns. You can track how the graph changes over time and simulate potential shifts. Early access is available via a waitlist on the official website, with iOS and Android launches planned for 2026.

Effect review

Nodeself offers a genuinely novel approach to personal change by focusing on structural visibility rather than counting streaks or points. Its ability to model behavior as a causal network and simulate future shifts sets it apart from typical habit-tracking apps. The natural language input makes it accessible, while the decay engine adds depth by acknowledging that what fades matters as much as what grows. For users tired of surface-level tools, this system provides a more insightful way to see how their behavior actually works.

Frequently Asked Questions

What is Nodeself by MancoMen?

Nodeself is a behavioral modeling engine that maps personal change as a living graph, featuring causal modeling, a decay engine, and forward simulation to visualize growth.

How does the causal modeling feature work?

Causal modeling allows you to define cause-and-effect relationships between behaviors, showing how changes in one area influence others over time.

What is the decay engine in Nodeself?

The decay engine simulates the natural weakening of behaviors or habits over time when not reinforced, helping you understand sustainability.

Can I simulate future scenarios with Nodeself?

Yes, forward simulation lets you project current behaviors into the future to visualize potential outcomes and plan interventions.

Is Nodeself suitable for personal development?

Yes, it is designed to map and model personal change, making it ideal for tracking habits, goals, and behavioral adjustments.

What does 'living graph' mean in Nodeself?

A living graph is a dynamic, evolving representation of your behavioral network that updates as you input new data or changes.