Schematex

Mind map

Radial mind maps and horizontal logic trees from Markdown-style heading and bullet syntax. Two styles — radial map and logic-right tree. Used by students, educators, project managers, and consultants for brainstorming, note-taking, knowledge structuring, and concept overviews.

mindmap·§
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Product Strategy map mindmap with 17 nodes Target segments Competitive landscape Pricing research Market Core features Roadmap Q3-Q4 Technical debt Product Acquisition channels Retention levers Referral program Growth Engineering Design Marketing Team Product Strategy
UTF-8 · LF · 24 lines · 290 chars✓ parsed·4.2 ms·7.5 KB SVG

Markdown heading levels set hierarchy depth. Bullets extend any heading branch.


Syntax

mindmap          # optional header keyword

# Central Topic  # root node (H1)

## Branch        # level 1 (H2)
### Sub-branch   # level 2 (H3)
#### Leaf        # level 3 (H4)

- Bullet item    # child of current heading
  - Sub-bullet   # 2 spaces = 1 deeper level

Rules:

  • Exactly one # root node allowed
  • Heading depth (##, ###, ...) sets the tree level
  • Bullet indent: 2 spaces = 1 level deeper than the enclosing heading
  • Comments: not supported (use %% directives only)

Directives

%% style: map          # radial map (default)
%% style: logic-right  # horizontal tree branching right
%% theme: dark         # theme override

Place directives before the # root node.


Styles

StyleLayoutBest for
map (default)Radial — branches spread in all directionsBrainstorming, concept maps
logic-rightHorizontal tree — all branches go rightStructured outlines, decision hierarchies

Examples

Project kickoff — radial map

mindmap
%% style: map

# Project Kickoff

## Goals
- Define scope
- Set timeline
- Align stakeholders

## Risks
- Technical complexity
  - Legacy integrations
  - Performance targets
- Team availability
- Budget constraints

## Deliverables
- Architecture doc
- MVP prototype
- User testing plan

## Team
- Product
- Engineering
- Design
- QA

Knowledge map — logic-right tree

mindmap
%% style: logic-right

# Machine Learning

## Supervised Learning
### Classification
- Logistic Regression
- Random Forest
- Neural Networks
### Regression
- Linear Regression
- Gradient Boosting

## Unsupervised Learning
### Clustering
- K-Means
- DBSCAN
### Dimensionality Reduction
- PCA
- t-SNE

## Reinforcement Learning
- Q-Learning
- Policy Gradient

Meeting notes

mindmap

# Design Review — Auth Flow

## Decisions
- Use JWT with refresh tokens
- 15-minute access token TTL
- Biometric opt-in for mobile

## Open Questions
- MFA enforcement policy
- Session handling on web
  - Cookie vs localStorage

## Action Items
- Security review by Thurs
- Update API docs
- Prototype MFA screen