How We Build For
Long-Term Thinking
Unvios is built on research from cognitive science, decision theory, and knowledge management. We're focused on solving the real problem: cognitive continuity for founders.
Research Areas
How we apply research from multiple disciplines to solve the context tax problem.
Decision Science
How do founders make decisions under uncertainty? We study decision-making patterns, assumption validation, and cognitive biases in the indie builder context.
Context Switching
The 'context tax' of juggling multiple projects. We research how to minimize the cognitive cost of switching between different codebases and product visions.
Knowledge Graphs
Mapping relationships between decisions, assumptions, and outcomes. How do we surface contradiction and enable long-term learning from your own history?
Cognitive Leverage
Beyond productivity. We focus on building tools that amplify your thinking capacity, not just your output. Smarter decisions, not just faster ones.
Our Approach
Building a decision log system grounded in real founder workflows.
We started by interviewing 50+ indie hackers and solo founders. The pattern was clear: they weren't forgetting tasks—they were forgetting why they made certain architectural decisions.
Traditional note-taking apps are passive storage. Unvios is an active memory system that proactively surfaces relevant context when you need it most.
Our research focuses on three core challenges:
- Contradiction Detection: How do we identify when a new decision conflicts with past rationale?
- Context Restoration: What's the minimal set of information needed to "resume" work on a dormant project?
- Cognitive Metrics: Can we measure the "context tax" and track improvement over time?
