docs: Add Competitor Analysis doc #27
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| ## Key Competitors by Category | ||
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| ### 1. AI Flashcard Generators | ||
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| Uses OCR and AI to generate study materials | ||
| #### Competitors | ||
| - **FlashRecall** - generates flashcards from any study material & has SRS | ||
| - **Laxu AI** - General study assistant, converts content to study content (flashcards, notes, quizzes) | ||
| - Motto: "Focus on learning, not formatting" | ||
| - **NewWord** - AI-powered multilingual vocabulary notebook | ||
| - AI generates definitions from typed words or OCR | ||
| - Photo OCR to scan words from textbooks | ||
| - Can translate words into multiple languages simultaneously | ||
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Contributor
There was a problem hiding this comment. When would be a use case for this? And is it counter-productive to learn multiple languages at once? |
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| - Spaced repetition review system | ||
| - **AlgoApp** - General flashcard app with AI features | ||
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Contributor
There was a problem hiding this comment. So it's just a "formatter" pretty much with SRS, but our system is formatting and understanding, we treat our system as an expert so it doesn't need input items like the others |
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| - AI converts PDFs/notes/images into flashcards | ||
| - Auto-translation (120 languages) | ||
| - Auto-generates pinyin for Chinese, furigana for Japanese | ||
| - Advanced SRS algorithm (developed by neuroscientist) | ||
| - Premium: ~$50 one-time or subscription | ||
| #### Pros | ||
| - Convenient - snap photo & generate | ||
| - AlgoApp: Neuroscientist-designed algorithm, supports Chinese pinyin | ||
| - NewWord: Multilingual translation at once | ||
| #### Cons | ||
| - FlashRecall & Laxu AI : Not language-specific | ||
| - NewWord: Shallow content (just definitions, no examples or patterns) | ||
| - AlgoApp: Android app has major bugs, expensive, no LLM Q&A | ||
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Contributor
There was a problem hiding this comment. Something to also consider is that we can serve a cross-platform website + mobile view but if we really care about latency then you'd need to write it in each phone's native OS (Swift for iOS and Kotlin for Android). But for now the latency is assumed to happen since it's an LLM |
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| ### 2. Mix of Anki + Obsidian: Mochi | ||
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| SRS flashcard system using markdown | ||
| #### Pros | ||
| - Local-first (like Obsidian) -- data is private, don't need internet access to use it | ||
| - Uses markdown (like Obsidian) -- flexibility in formatting & converts to many other formats quickly | ||
| - Much better UI than Anki's | ||
| - Has dashboard of user's learning stats & activity (like GitHub's) | ||
| - Can create knowledge graph (like Obsidian) -- see relationships between cards | ||
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Contributor
There was a problem hiding this comment. Could be a v2 thing where we link relationships between cards |
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| - Can create "note" cards too (single-sided) | ||
| - Built-in language tools: dictionary lookup, translation, text-to-speech | ||
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Contributor
There was a problem hiding this comment. Even though we said text-to-speech is a v2 thing I think it's pretty important to consider since people can't be typing all the time, and if people are trying to find the meaning of a word they don't know it's easier to sound it out than type it |
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| #### Cons | ||
| - **Still requires manual card creation** (10-15 min per card) | ||
| - Uses dictionary/translation APIs, NOT generative AI | ||
| - FSRS is bad -- only have "remember / forgot" options for spaced repetition | ||
| - Uses markdown -- can be a learning curve for those that aren't familiar with it | ||
| - Limited export features | ||
| - Desktop app is free, but must subscribe for syncing features -- aka must pay for sync to mobile ($5/month) | ||
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| --- | ||
| ### 3. Japanese-Specialized Tools | ||
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| #### Kitsun.io - Japanese SRS with reading integration (Closest competitor for Japanese) | ||
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| **Pricing**: $5/month or $160 lifetime | ||
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Contributor
There was a problem hiding this comment. Since this has no AI and basic stuff it sounds pretty hard-coded |
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| ##### Pros | ||
| - **One-click flashcard creation while reading** - click any word in Japanese text → instant definition → create card | ||
| - Reading tool parses Japanese text with furigana automatically | ||
| - Import videos/subtitles from anime/shows | ||
| - Beautiful, modern UI (praised as "better than Anki") | ||
| - Highly customizable templates | ||
| - Integration with Jisho.org dictionary | ||
| - Community decks with collaborative improvement | ||
| - Tracks knowledge at word level | ||
| ##### Cons | ||
| - **User still manually creates cards** - just made easier with one-click | ||
| - **No AI content generation** - just dictionary lookup | ||
| - Cards are basic: word + definition (user must add examples, notes, patterns) | ||
| - No LLM Q&A | ||
| - Japanese only | ||
| - Web-only (no native apps) | ||
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| #### Renshuu - Comprehensive Japanese learning platform | ||
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| **Pricing**: Free (with optional pro features) | ||
| ##### Pros | ||
| - Complete learning system (vocabulary, kanji, grammar, writing, reading) | ||
| - Highly customizable - matches textbooks (Genki, Tobira), JLPT levels, or self-study | ||
| - Tracks knowledge at individual kanji level | ||
| - Adjusts furigana display based on what you know | ||
| - Grammar lessons written by Japanese professor | ||
| - Study games (Shiritori, Counter Punch, Crosswords) | ||
| - Community features | ||
| - **100% free** with no paywalls or timers | ||
| - Cute mascot and gamification | ||
| ##### Cons | ||
| - **Comprehensive platform, not a focused tool** (different category than LingoLM) | ||
| - No AI generation | ||
| - Course-based (structured lessons) | ||
| - No knowledge base features | ||
| - More gamified (not just a productivity tool) | ||
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| ### 4. Video-Based Vocabulary: Lingo Llama | ||
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| Learn Spanish vocabulary from movie clips | ||
| #### Pros | ||
| - Learn from context & cultural immersion | ||
| - Has in-app dictionary & translation | ||
| - Teaches grammar | ||
| - Has SRS | ||
| #### Cons | ||
| - Spanish only | ||
| - No customization -- cannot create your own card | ||
| - Costly -- high subscription costs | ||
| - Pre-selected content (user can't choose videos) | ||
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| ### 5. Sentence-Based Learning: Taalhammer | ||
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| User creates their own sentences, practices with spaced repetition | ||
| #### Pros | ||
| - Contextual learning -- focuses on sentences, not single words | ||
| - SRS | ||
| - Customizable -- user can add their own cards | ||
| - Audio to hear pronunciation | ||
| - Supports many languages (75+) | ||
| - AI-powered topic collections (recently added) | ||
| - Sentence-focused review builds production skills | ||
| #### Cons | ||
| - **User still manually creates content** - AI only generates audio/translation, not sentences | ||
| - Different learning focus (sentence production vs vocabulary comprehension) | ||
| - Not vocabulary-specific | ||
| - No knowledge base features | ||
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| ### 6. Dictionary: Pleco | ||
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| Leading app for Chinese dictionary lookup -- the holy grail Chinese dictionary | ||
| #### Pros | ||
| - Offline -- no need for internet access; can study anywhere, anytime | ||
| - Mobile -- convenient to study anywhere, anytime | ||
| - Contextual - provides example sentences | ||
| - Results show definitions from multiple sources | ||
| - Audio for pronunciation | ||
| - Search by pinyin, typed characters, or handwritten characters | ||
| #### Cons | ||
| - Outdated & unintuitive UI | ||
| - Mobile only | ||
| - Pay for add-ons like SRS and OCR features | ||
| - **No AI generation** - just dictionary lookup | ||
| - Basic flashcards (manual creation) | ||
| - No knowledge base features | ||
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| --- | ||
| ## So what about LingoLM? | ||
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| LingoLM is a **tool**, NOT a learning platform | ||
| ### What LingoLM Offers That Competitors Don't | ||
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| | Feature | Competitors | LingoLM | | ||
| | ------------------------ | -------------------------------------------- | ---------------------------------------------- | | ||
| | **Language-specialized** | FlashRecall, Laxu AI, AlgoApp (generic) | definitions, pronunciation, context | | ||
| | **AI card generation** | Mochi, Kitsun.io, Pleco, Taalhammer (manual) | Comprehensive: definitions, examples, patterns | | ||
| | **LLM Q&A assistant** | None | Ask questions, explore nuances interactively | | ||
| | **Speed** | Mochi: 10-15 min, Kitsun: 2-3 min | 30 sec (10x faster) | | ||
| ### Target User Gap Analysis | ||
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| **What intermediate Chinese learners currently do:** | ||
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| ``` | ||
| Use Pleco for quick lookup | ||
| + | ||
| Use Anki for flashcards (10-15 min manual creation) | ||
| + | ||
| Use ChatGPT for understanding nuances (no persistence) | ||
| = | ||
| Fragmented workflow, time-consuming | ||
| ``` | ||
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| **What LingoLM offers:** | ||
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| ``` | ||
| One tool that combines: | ||
| - Pleco's mobile convenience | ||
| - AI generation (better than manual Mochi) | ||
| - LLM Q&A (better than ChatGPT - saves to cards) | ||
| - Knowledge base (like Obsidian) | ||
| = | ||
| Unified, fast, intelligent | ||
| ``` | ||
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| --- | ||
| ### Product Decisions from Analysis | ||
| #### Mobile-First | ||
| - **Why**: Most convenient when learner encounters a new word | ||
| - **Competitors**: | ||
| - Pleco is praised bc it's mobile and instant | ||
| - Kitsun.io is web-only (no native apps) | ||
| - Mochi requires subscription for mobile sync | ||
| - **Decision**: Build PWA for native app-like experience | ||
| - Works on mobile immediately | ||
| - One codebase for mobile + desktop | ||
| - Can install to home screen | ||
| #### Manual Card Creation Feature | ||
| - **Why**: Power users want flexibility for sentences, grammar, notes | ||
| - **Competitors**: | ||
| - Taalhammer focuses on sentences but requires manual input | ||
| - Renshuu is comprehensive but no custom cards for random content | ||
| - Mochi is only manual input card creation | ||
| - **Decision**: Add "Create Manual Card" for customizability | ||
| - Solves sentence use case | ||
| - Users can create cards for anything AI doesn't handle | ||
| - Same review system as AI cards | ||
| - $0 Bedrock cost | ||
| #### No Markdown (MVP) | ||
| - **Why**: Users aren't typing content (AI generates it) | ||
| - **Competitors**: | ||
| - Mochi users manually write everything in markdown | ||
| - Our users have the **option** to edit cards | ||
| - **Decision**: Simple rich text editor for MVP | ||
| - Better for mobile UX | ||
| - Faster development | ||
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So this assumes that someone is in a class and is more of an AI language tutor? If we're talking general public they won't have study material so that's an advantage for us, because our system can make the study material for them