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Lumotia/docs/brief/open-questions.md
2026-03-21 12:01:50 +00:00

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10. Open Questions

Resolved (decisions made — see relevant sections)

  • Sync architecture → cr-sqlite + iroh selected (section 3)
  • Minimum hardware specs → 8GB RAM, 2020+ CPU (section 3)
  • CRDT library evaluation → cr-sqlite for SQL-level CRDTs, iroh for networking (section 3)
  • Whisper model selection → ggml-base.en desktop, ggml-tiny.en mobile (section 3)
  • LLM model selection → Phi-4-mini (8GB), Qwen 3 7B (16GB), Llama 3.2 1B (mobile) (section 3)
  • Waitlist tool → LaunchList £65 one-time (section 7)
  • Payment processor → Lemon Squeezy 5% + 50p (section 7)
  • Pricing validation method → Van Westendorp survey via Tally (section 5)
  • Bionic Reading implementation → CSS regex (bold first N chars), text-vide npm package or custom, MIT licensed
  • Nudging delivery mechanism → tauri-plugin-notification + Web Audio API chimes + context-aware suppression (section 4)

Still open

  • Exact free tier limitations (number of tasks? transcriptions? time limit?)
  • Which frontier AI model for cloud tier (Claude, GPT-4o, other?)
  • App store submission timeline and requirements for Android/iOS
  • Sensory preference persistence ("sensory cookies") — save user's baseline motion/contrast/typography settings across sessions. MVP or v2?
  • Emotionally adaptive UI (detect frustration/fatigue, auto-simplify interface) — v2+ feature, but worth architecting for early
  • Mac App Store sandboxing compatibility with Tauri — needs hands-on testing
  • Access to Work approval process for specific software products — exact requirements TBD
  • Search volume data for "ADHD desktop app", "ADHD app for Windows" etc. — validate with Ahrefs/SEMrush before committing to SEO strategy
  • Tiimo's B2B pricing (not publicly available) — competitive intelligence via test enquiry
  • Visual timeline implementation — time blocks, Gantt-style, or simpler countdown view? Validate with beta testers.
  • Smartwatch integration for haptic nudges — Tauri v2 wearable support? Or companion app?
  • Low-fi body doubling: would showing anonymised user count ("3 others in deep work") require any server component? Could use iroh peer count from paired devices, but broader anonymous count needs a lightweight coordination mechanism.
  • Start/shutdown ritual UX: how prescriptive should the morning triage be? Fully AI-driven or user-guided? Beta test both approaches.
  • cr-sqlite development pace risk: monitor vlcn.io activity. If stalled, migrate to Automerge + SQLite BLOB storage (networking layer unchanged).