moar
moar optimizes documents for AI comprehension, reducing size by up to 95% while preserving 100% of the meaning for tools like ChatGPT, Claude, and Gemini.
At a Glance
- AI Power Users
- Developers
- Data Analysts
- Productivity Seekers
AI Tools by moar
(1)moar
Local Doc to AI Markdown
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Products & Services
AI-native document optimization including structure extraction, platform-aware sizing, and document library. Supports PDF, DOCX, PPTX, XLSX, CSV, TXT, MD, JSON, and HTML.
Premium tier adding Smart Select (query-driven extraction), Intelligent Chunking (preserving context across boundaries), and bulk export.
Market Position
Differentiated from standard RAG by offering local, browser-based optimization that fits documents into context windows without complex infrastructure.
Leadership
Founders
Gavin
Creator of moar (Product Hunt handle @gr0kstar). The team describes themselves as creators who co-designed the tool with language models to optimize specifically for AI comprehension.
Executive Team
Gavin
Founder & Creator
Product creator and AI developer.
Founding Story
moar was co-designed with language models to solve the problem of noisy, oversized document uploads to AI. The founders developed an algorithm that understands how AI processes text differently than humans, focusing on semantic value over verbosity.
Business Model
Revenue Model
Freemium with a one-time purchase for premium features (moar Most). Payments processed via LemonSqueezy.
Pricing Tiers
Full document optimization, structure extraction, platform-aware sizing, document library.
One-time purchase. Adds Smart Select, Intelligent Chunking, and bulk export.
Target Markets
- AI Power Users
- Developers
- Data Analysts
- Productivity Seekers
- Uploading large PDF reports to ChatGPT/Claude
- Optimizing code/data for LLM context windows
- Semantic search and extraction within documents
- Reducing token costs for AI conversations
- Individual AI users
- Early adopters on Product Hunt