Notes & knowledgeCAN I VIBECODE
Reflect?
BUILD FIRST
- One defined user and a repeatable end-to-end job
- A small, clear data model with sign-in only if it is genuinely needed
- Loading, empty, error, and success states that make the workflow feel complete
LEAVE FOR LATER
- Large integration marketplaces
- Multi-region scale and enterprise administration
- Every power-user setting from the established product
RESEARCH NOTES
What this tool actually does.
Reflect is an AI-powered networked note-taking app (Reflect.app) positioned as a 'second brain'. Core workflow centers on daily notes, bidirectional backlinks, and an integrated AI assistant (GPT-4/Claude via user selection, Whisper for voice transcription). Key features: end-to-end encryption, cross-device real-time sync, advanced search (filter by dates, backlinks, pinned, chat with results), client-side semantic embeddings for 'similar notes', voice-to-text transcription, custom saved AI prompts, highlight-and-ask AI on any text, web snippet/Kindle highlight/links collection, Google Calendar and Outlook meeting import, export and REST API. Marketing emphasizes frictionless capture, meeting tracking, and research/reading aggregation. AI chat uses notes as context. No public self-host or open-source version; proprietary commercial SaaS.
RESEARCHED BUILD PROMPT
Give this to your coding agent.
Build a local-first replacement app inspired by Reflect's daily-notes + backlinks + AI-assistant workflow (your app must not use the name 'Reflect' or its branding/UI). Core workflow: user opens a daily note each day, writes or voice-transcribes thoughts, links notes with [[wikilinks]]/backlinks, highlights any text and invokes an AI panel for summarize/explain/rewrite, and later searches or chats across their note corpus with AI using retrieved notes as context.
User-facing requirements: Markdown-based daily notes with automatic timestamps; bidirectional backlink panel showing links in/out; full-text search with filters (date range, pinned, backlinked); semantic 'similar notes' sidebar using local embeddings; AI assistant panel with streaming responses, custom saved prompt templates, and 'chat with my notes' mode; voice note recording that transcribes speech-to-text (use system whisper.cpp or OpenAI-compatible API); web clipper bookmarklet for saving pages/highlights; calendar/ICS import to prepend meeting agenda notes; E2E-encrypted local vault (OS keychain); cross-device sync via user-provided WebDAV/S3/git remote; export all notes as Markdown/JSON; desktop app (Tauri/Electron) plus PWA.
Technical requirements: TypeScript or Rust backend; SQLite for metadata/index plus encrypted file storage for note bodies; embeddings via transformers.js or local ONNX model, optional OpenAI/Claude API for LLM features with user-supplied key; REST API for CRUD/search; pinning and daily-note route; no auth server (single-user local-first).
Deliberately out of scope: multi-user collaboration, public sharing, mobile native apps (PWA only), meeting transcription, Kindle direct integration, and any pixel-matching of Reflect's interface.
Deliver a README with setup instructions (install, API key config, sync setup), architecture overview, security/encryption limitations, and known limitations (local embedding quality, API cost). Do not copy Reflect's brand name, logo, marketing copy, or exact CSS/layout.