Keep records local
Tracking records live in SQLite on the device. Viewing history and computing local charts do not require an AI request.
Independent founder project
Quotid.
Solo project by Faain · Started April 2026
A privacy-first AI-assisted daily tracking application for iOS and Android. It combines local-first personal tracking with optional AI summaries, advice, analysis and automation.
ApproachLocal-firstBuilt independentlyBy FaainStatusPrivate · in development
Current app UI · fictional demo data
Browser phone previews; scripted AI proposal
01 / Overview
A little more context.
A clearer day.
Daily tracking is the foundation. AI is an optional layer on top.
Quotid brings modular activity logs, notes, tasks and history together with local charts. Optional summaries, advice and analysis can help turn selected records into useful context; supported assistant actions can help with everyday logging and organization.
Choose the AI layer
AI features send selected context and attachments to the configured provider. Provider handling applies to those requests; AI use is optional.
Make actions visible
Supported logging actions use confirmation previews. App-side parsing and validation connect the assistant to tasks, reminders, notes and records.
02 / Status
Independent.
Still taking shape.
Currently private. Intended for eventual public release; no release date is set. Development has focused on Android, with iOS also a target.
Started April 2026 as Faain’s solo project. The interface previews below show the current 1.7.1 source, not a store release or a promise of native-device readiness.
Optional backup can export data or send it to a configured remote destination. Passphrase protection and app lock are available; local-first does not mean that enabled AI or backup features keep every record on-device.
03 / A look inside
The everyday interface.
Tracking, history and a conversation that can become an action.
Actual current screens in a browser phone preview. All records are fictional. AI proposals and summaries are illustrative; no live model call was used. Native Android and iOS rendering may differ.
A day, in one place.
Modular daily tracking · fictional records; illustrative summary
Small sessions add up.
Coding history · fictional session records
From conversation to action.
Confirmation workflow · scripted proposal, no live AI call
A lighter view, too.
Light theme · fictional records; illustrative summary
04 / Technology
Mobile software.
Local foundations.
Built with TypeScript, React Native and Expo, with local storage and provider-specific AI integrations.
- Application
- React Native 0.76 · React 18 · Expo SDK 52 · Expo Router
- Local data
- SQLite for tracking, history, notes, tasks and saved conversations
- Device capabilities
- SecureStore, local notifications, file/image input, haptics and app lock
- Presentation
- SVG charts, Markdown replies, dark/light themes and custom mobile controls
- Optional backup
- Export/restore, GitHub API sync, and optional passphrase encryption with integrity checks
- AI infrastructure
- Streaming adapters, local-record retrieval, context assembly and structured action parsing
05 / AI engineering
One application.
Several ways to connect.
Integrations for Anthropic, OpenAI, Google, OpenRouter and compatible custom endpoints.
Anthropic
Messages API, streamed replies, image/document input, supported thinking, cache controls and usage reporting.
OpenAI
Chat Completions adapters with text/image input, streaming, compatible reasoning parameters and token usage.
Gemini generation and streaming, multimodal input mapping, supported thinking and usage metadata.
OpenRouter
Routed-model integrations, compatible caching and reasoning, and usage/cost feedback.
Custom endpoints
Configurable OpenAI-compatible providers using shared text/image and streaming adapters.
Capabilities depend on the chosen provider and model. These are software integrations, with no claim of vendor endorsement.
Beyond a chat window
Recent logs and longer-term summaries form tiered context. Local entity lookup and history search retrieve relevant records. Structured text blocks are parsed into supported actions, with app-side safeguards and confirmation flows for selected changes. Saved chats, supported reasoning display and request-usage feedback complete the workflow.
06 / Development
From a foundation
to daily workflows.
April–July 2026: tracking, charts, multi-provider AI, retrieval, backups and mobile polish.
A selected development log follows the major milestones and reliability fixes. Dates are grouped by period; private iteration numbers are not public release announcements.
Read the Quotid devlog07 / Relationship to HOM.dev
Previous work.
Independent ownership.
Quotid was built independently by Faain before HOM.dev was founded. It remains separate from the studio’s game-development work. HOM.dev’s other founder was not involved in its development.
Presented here as previous software and AI engineering experience by an HOM.dev founder.
More about Faain →