Readlyn

Creating professional infographics requires design skills and takes 2-4 hours per graphic. Content creators and marketers need a faster way to produce data-rich, visually appealing infographics without Canva or Figma expertise.

1. The Founder's Problem

2. Why Traditional Solutions Failed

✗Manual design in Canva/Figma requires 2-4 hours per infographic
✗No AI tools generate structured, editable infographics from text prompts
✗Existing tools produce static images without editing capabilities
✗Design skills are a barrier for non-designers creating visual content

3. What We Built

✓AI infographic generation with Groq (Llama 3.3 70B) producing real facts and statistics
✓9 layout archetypes (Steps, Stats, Timeline, Compare, List, Pyramid, Funnel, Cycle, Auto) with pre-computed positions
✓5 color themes (Violet, Ocean, Ember, Forest, Slate) with consistent palette application
✓Interactive Fabric.js canvas editor with drag, resize, rotate, and text editing
✓Layers panel with visibility toggle, lock/unlock, and per-layer deletion
✓Properties panel for transform (X, Y, W, H, rotation, opacity), colors, border radius, and typography
✓Undo/redo system with keyboard shortcuts (Cmd+Z / Cmd+Shift+Z)
✓Streaming generation with real-time element rendering as AI generates content
✓Export functionality (PNG high-res, JSON schema) for presentations and social media

4. The Process

WEEK 1

Fabric.js canvas setup (3 days), Layout archetype mathematics (2 days), Supabase Auth (2 days)

WEEK 2

Groq AI integration + prompt engineering (4 days), Streaming architecture (2 days), Color theme system (1 day)

WEEK 3

Properties panel + layers (2 days), Undo/redo system (2 days), Export functionality (1 day)

5. Results & Metrics

Users

27 signups

Revenue

$0 (free tool)

GitHub

14 stars

Performance

<30s generation, 9 layouts, 5 themes

Code

96.3% TypeScript, Next.js 16

6. Tech Stack & Why

Next.js 16:App Router for server components, React 19 for concurrent features

Fabric.js v6:Canvas manipulation library, better than HTML5 Canvas API for complex objects

Groq Llama 3.3 70B:Fast inference (800 tokens/s), generates structured data matching layout schemas

Supabase:Auth + SSR, PostgreSQL for project storage, Edge Functions for AI generation

Tailwind CSS v4:Dark-mode-first design system, custom noise texture overlay

7. What We Cut to Ship Fast

–Real-time team collaboration (would add 7+ days)
–Custom font upload (file storage complexity)
–Figma import (API integration + format conversion)
–Image element support (requires image hosting + CDN)

Canvas state management is complex. Implemented immutable state pattern for undo/redo without memory leaks.
AI-generated content needs structured output. Designed JSON schemas matching layout archetypes for consistency.
Pre-computed layouts dramatically improve generation speed. Mathematical positioning eliminates layout calculation overhead.
Users value editing capabilities over perfect initial generation. Interactive canvas is more important than AI accuracy.
Streaming generation improves perceived performance. Real-time element rendering keeps users engaged during 20-30s generation.
Export quality matters. High-resolution PNG export with proper scaling is critical for professional use.

8. Lessons Learned

Canvas state management is complex. Implemented immutable state pattern for undo/redo without memory leaks.
AI-generated content needs structured output. Designed JSON schemas matching layout archetypes for consistency.
Pre-computed layouts dramatically improve generation speed. Mathematical positioning eliminates layout calculation overhead.
Users value editing capabilities over perfect initial generation. Interactive canvas is more important than AI accuracy.
Streaming generation improves perceived performance. Real-time element rendering keeps users engaged during 20-30s generation.
Export quality matters. High-resolution PNG export with proper scaling is critical for professional use.

Screenshots

What This Actually Proves

✓I ship fast: 5 MVPs in 14-21 days each. Not prototypes actual working products with auth, payments, databases.
✓I'm honest about metrics: 10-50 users, $0 revenue (test mode), 7-10 GitHub stars. No fake numbers.
✓I know what to cut: Real-time features, team collaboration, mobile apps. Ship core value first.
✓I learn from mistakes: RLS policies are hard. Prompt engineering takes 15+ iterations. Financial calculations need edge case testing.
✓I justify tech choices: Supabase over Firebase (cheaper, better for relational data). Groq over OpenAI (10x cheaper, 800 tokens/s).

Ready to Build?

Want a SaaS Like This Built for You?

Same quality, same speed. 14–21 days from idea to live product with auth, payments, and analytics.

Ready to Stop Planning and Start Shipping?