ESP32-S3 Bench Guide
ESP32-S3 N16R8 bench guide: live pinout, lessons, simulators and the bench log.
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Every job, industry, and hobby has words insiders throw around without explaining. Jargon Gym teaches you the specific vocabulary for any field, with real examples and a quiz that keeps testing what y
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教育TypeScript · PLpgSQLGitHub @behnamazimi上線中營運者未確認
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A private, invite-only app for learning industry jargon you can
actually use — not just recognize. Import term lists into collections (or start
with built-in ones), mark what you already know, review a ranked queue when you
feel like it, and quiz when you want a check-in. No due dates — there's an
optional streak badge, but nothing punishes you for breaking it.檢視完整 README ↗A private, invite-only app for learning the terms of a field or the words and phrases of a language well enough to actually use them, not just recognize them. A collection is either field terms (a new job's jargon, a technical area) or a language's vocabulary, including phrases and grammar. Import lists into collections (or start with built-in ones), read, review a ranked queue when you feel like it, and quiz when you want a check-in. No due dates — there's an optional streak badge, but nothing punishes you for breaking it.
AI is optional and works only from your own terms: Stories written around the terms you're due to read (a style and setting for any collection, plus an A1–C2 level for a language), AI quizzes, and spoken audio for terms and stories. Simple quizzes, Read and Review never use credits. Typed-recall quiz questions are for vocabulary collections.
Terms go beyond one-line definitions: optional example, mental model, in-practice notes, anti-example, debated angles, a freeform note, and links to related terms. Known/unknown isn't set by hand — it's read off how well you've actually retained a term, and fades again if you stop practicing it.
The same TRACE ranking powers Read, Review, and Quiz across every surface — not random shuffle, and not spaced repetition with future review dates. Collection browse picks its own way and doesn't use the ranking.
See the landing page for how to request an invitation.
/how-terms-work (term structure, how known/unknown
status is computed) when the app is running — linked from the landing page
and site footerInstall dependencies:
pnpm install
Copy environment variables:
cp .env-template .env.local
Start Supabase locally and fill .env.local from the CLI output:
pnpm supabase:start
pnpm supabase:status
Apply migrations (resets local data):
pnpm supabase:reset
Run the dev server:
pnpm dev
Open http://localhost:3000.
Regenerate TypeScript types after schema changes:
pnpm supabase:types
| Command | Purpose |
|---|---|
pnpm dev | Start Next.js in development |
pnpm build | Build the production app |
pnpm check | Lint, format check, type-check, and unused-code check (knip) |
pnpm supabase:start / stop / status | Local Supabase lifecycle |
pnpm supabase:reset | Reset local DB and run migrations |
Next.js 16, React 19, Supabase (Postgres + Auth), Tailwind CSS 4, DaisyUI, TypeScript.
| Path | Role |
|---|---|
app/ | Next.js routes (auth, app UI, API) |
components/ | React UI |
lib/trace/ | TRACE scoring — decay, recall, mastery |
lib/trace-queue/ | Term-picking pipeline built on TRACE |
lib/terms/ | Term model, cards, outcomes, term CRUD |
lib/library/ | Library page data, collections, filters |
lib/study/ | Collection scope and study pool wrapper |
supabase/ | Migrations and SQL tests |
docs/ | Internal documentation |