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fluentflow

fluentflow - a vibe-coded flashcard app I made to practice languages with spaced repetition and AI-generated examples.
Open repo on GitHubgithub.com/alanreyes24/fluentflow
TypeScript · ★ 1 · 0 forks · MIT · paperwork by the Cap'mmostly ai (inferred)light human (inferred)works-on-my-machine (inferred)other
listed 11 hours ago by alanreyes24 · last checked 31 minutes ago
The owner didn't write this. This repo never submitted itself. The Cap'm found it on a truffle trawl and wrote its paperwork from what GitHub already shows. Picked by hand by the Cap'm on 2026-09-18: fluentflow - a vibe-coded flashcard app I made to practice languages with spaced repetition and AI-generated e; its own README says "fluentflow - a vibe-coded flashcard app I made to practice languages with spaced repetition and AI-generated examples". 1 stars; MIT license. The owner did not submit this. Votes count; awards don't until the owner claims it.

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GitHub says
fluentflow - a vibe-coded flashcard app I made to practice languages with spaced repetition and AI-generated examples.
created
2026-09-03 · pushed 2 days ago · 68 commits · 2 contributors
release
v0.1.0 · 2026-09-03
languages
TypeScript 70%JavaScript 30%
paperwork
contributinglicensereadme 71% health
dependencies
no dependency graph (no manifest, or disabled) · OSV.dev, checked 11 hours ago

Disclosures, inferred by the Cap'm

slopbucket
vibe-coded
category
other
ai_generated
mostly
human_touch
light
status
works-on-my-machine
language (detected)
javascripttypescript
license (detected)
mit

The Cap'm's log

The Cap'm wrote this paperwork, not the owner. This repo never submitted itself to SlopScore. The Cap'm picked it by hand: fluentflow - a vibe-coded flashcard app I made to practice languages with spaced repetition and AI-generated e; its own README says "fluentflow - a vibe-coded flashcard app I made to practice languages with spaced repetition and AI-generated examples". It carries the MIT license. The disclosures above are his best guess from what GitHub shows.

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README — the repo's own words, folded up so the grading fits on one screen

FluentFlow

I made FluentFlow to help me practice languages, mainly Spanish and Bosnian. It's a vibe-coded personal project: I built it with a lot of help from AI coding tools, shaped it around my own study habits, and kept the parts I found useful. I'm sharing the code in case someone else finds it useful too.

Expect rough edges. This is a hobby app, with no promise of regular releases, support, or production readiness. AI-generated translations and examples can be wrong, so check anything that looks off.

What it does

  • Vocabulary decks with spaced repetition, review limits, and study statistics.
  • Cards from pasted word lists or Anki .apkg files.
  • Optional local dictionaries for Spanish and Bosnian.
  • Optional Gemini examples, translations, and study chat using your own API key.
  • Local SQLite storage, with optional Firebase account sync.
  • An Electron desktop app and an Expo UI shared with the browser and mobile targets.

macOS and the browser are the main development paths. Windows packaging is configured; native iOS and Android still need device testing. See platform status for the limits.

Run it locally

Use Node.js 26.1 or newer and npm. The repo includes an .nvmrc for a tested version. The server and tests use Node's built-in SQLite serialization APIs, which older Node releases do not provide.

git clone https://github.com/alanreyes24/fluentflow.git
cd fluentflow
npm ci
npm run build
npm run dev

Open localhost:8081 and choose Continue without an account. No Firebase project or API key is needed. npm run dev starts the web app and a development API on port 8787, and tries to open Chrome. Set FLUENTFLOW_OPEN_BROWSER=0 to skip that last step.

To use the desktop app, leave that command running and open a second terminal:

npm --prefix apps/desktop ci
npm run desktop:vendor
npm run desktop:dev

The desktop dependencies are installed separately because Electron is a large download. UI changes refresh automatically. After changing packages/core, run npm run desktop:vendor again; restart npm run desktop:dev after changing the Electron main process or preload.

The development API keeps its sync data in memory and accepts permissive local tokens. It is for your machine only; restarting it clears that store. The app's own cards live in SQLite. Do not expose the development API to the internet.

Optional features

Dictionaries: run npm run fetch-dictionaries. This streams large extracts from Wiktionary via Kaikki and builds local lookup databases. The Bosnian data comes from Wiktionary's Serbo-Croatian entries. Paired word - meaning lists can be imported without a dictionary or API key.

Gemini: add your own key in the desktop app's Settings → Cloud examples. For browser development, copy .env.example to .env, set GEMINI_API_KEY, and restart npm run dev. The dev launcher can also use the key saved by the desktop app. Requests use Google's hosted API and may incur charges; there are no model weights or shared API credentials in this repo. Without a key, you can still study and use cached or template example sentences.

Firebase sync: use your own Firebase project. Nothing in a fresh checkout connects to mine. Configuration and deployment steps are in the development guide.

Data and privacy

Studying without an account stores cards and review history on your device. Enabling Firebase sync uploads decks, cards, generated examples, and review events to the project you configured. Using Gemini sends the relevant words, meanings, or chat messages to Google. The desktop stores its API key separately from decks using Electron's encrypted storage; the browser dev proxy keeps its key on the server. Never put a Gemini key or service-account credential in an EXPO_PUBLIC_* variable.

Packaged desktop builds are configured to check this repository's GitHub Releases for updates. If you distribute a fork, change that feed first.

Development

npm test
npm run typecheck
npm run verify
npm run web:export

These checks do not require cloud credentials. Browser and packaged-desktop walkthroughs are also available as npm run verify:web and npm run verify:desktop; see the development guide before running them.

Directory Contents
packages/core Scheduling, import, sync, and AI prompt logic
apps/mobile Expo / React Native UI, including the web app
apps/desktop Electron shell and desktop integrations
apps/server Development API and optional Firebase-backed server
scripts Builds, dictionary downloads, and verification

Small fixes and bug reports are welcome. See CONTRIBUTING.md. For security concerns and known dependency advisories, see SECURITY.md.

License and credits

The project code is licensed under MIT.

Dictionary data is separate from the code license: the download script records Wiktionary / Kaikki attribution and CC BY-SA 4.0 in each generated database. Dependencies and imported decks retain their own licenses. FluentFlow is an independent project and is not affiliated with Anki, Google, or the dictionary projects.

Read the rest on GitHub

Scan report · 2026-09-18
  • Prohibited terms or links
  • Repository eligibility
  • slopscore.md paperwork
  • Content policy
  • Risk review

From the balcony · 1 of 1 clapped

  1. Cap'm Slopclapped
    README clearly explains what it does (spaced repetition flashcard app), how to run it (git clone, npm ci, npm run dev), and honestly discloses AI involvement (mostly AI-generated, light human touch) w

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