Target user
Students, researchers, independent builders, and curious professionals whose important context is scattered across notes, links, documents, and unfinished projects.
Productivity / Knowledge
ATLAS
Make sense of what you know
AT
A personal knowledge map that connects notes, decisions, sources, and active projects without becoming another filing cabinet.
iPhone · iPad · macOS/ Product thesis
Useful knowledge is rarely isolated in one note. Atlas explores a calm, visual system for understanding how ideas, evidence, decisions, and projects relate—then bringing the right context back when it matters.
Core problem
Traditional note apps are good at capture but weak at resurfacing relationships, decision history, and the context behind active work.
Differentiator
A relationship-first workspace with explainable connections, strong source provenance, and private on-device organization instead of an opaque AI knowledge graph.
/ Minimum viable product
Small enough to learn.
Strong enough to keep.
- 01Fast note, link, and source capture
- 02Project and topic maps
- 03Decision records with supporting evidence
- 04Contextual resurfacing and search
- 05Portable Markdown and JSON export
/ Product system
The loop behind
the interface.
Set a meaningful direction → take one useful action → see the result in context → adjust the next recommendation → return with greater clarity.
A useful free core with a clearly scoped premium tier for deeper intelligence, expanded history, customization, and cross-device features. No advertising or sale of personal data.
A focused, privacy-conscious NexCode product built around practical daily value rather than feature count or guaranteed outcomes.
/ Product architecture
Native by design.
A practical architecture sized for the current stage and ready to evolve after real usage.
- SwiftUI feature modules with an offline-first SwiftData model↗
- CloudKit sync behind testable repository boundaries↗
- App Intents and WidgetKit for fast system access↗
- Privacy-gated integrations with clear data provenance↗
- StoreKit 2 subscriptions with server-verifiable entitlements↗
/ Realistic launch path
Evidence before expansion.
Timelines assume a focused solo or very small team.
Now
Research
Validate the primary user, problem frequency, and the smallest credible daily loop.
Next
Prototype
Build and test the core interaction without expanding into secondary features.
After proof
Private beta
Measure activation, usefulness, trust, and repeat use with a focused cohort.
Evidence-led
Launch decision
Advance only when retention and qualitative demand justify production scope.
First-session activationWeekly return rateCore action completionRecommendation usefulnessUser trust and data-control sentiment