interly 0.1.5

Developer-tool discovery pipeline and CLI for Interly.

Interly MVP

Interly is a developer-tool discovery pipeline layered into the existing TanStack Start app. The current UI keeps using the existing Interly shell and routes, while a small Python sidecar handles collection, deduplication, Grok classification, scoring, SQLite persistence, digest email, and the /api/interly/* backend.

Multi-user Integrations (Firebase)

Interly now supports user-owned destination integrations for:

• Email
• Slack OAuth and Slack webhooks (advanced/manual)
• Discord OAuth bot integration and Discord webhooks (advanced/manual)
• Telegram chat delivery via deep-link bot connect

The integrations system is implemented in app server routes and uses Firebase as the source of truth:

• Protected APIs verify Authorization: Bearer <Firebase ID token> with Firebase Admin.
• Per-user data is stored under users/{uid}/integrations/{integrationId} and users/{uid}/digestDeliveries/{deliveryId}.
• Delivery logs are written to users/{uid}/integrations/{integrationId}/deliveryLogs/{logId}.
• Integration secrets are encrypted server-side with ENCRYPTION_KEY and stored under users/{uid}/integrationSecrets/{integrationId}.
• Telegram pairing uses telegramConnectionCodes/{code} and a webhook endpoint.

New UI:

• Integrations page: /app/integrations

Backend endpoints:

• GET /api/interly/integrations
• POST /api/interly/integrations
• PATCH /api/interly/integrations/:integrationId
• DELETE /api/interly/integrations/:integrationId
• POST /api/interly/integrations/:integrationId/test
• GET /api/interly/integrations/:integrationId/logs
• POST /api/interly/send-digest
• GET /api/interly/slack/connect
• GET /api/interly/slack/callback
• POST /api/interly/slack/select-channel
• GET /api/interly/discord/connect
• GET /api/interly/discord/callback
• GET /api/interly/discord/guilds-or-channels
• POST /api/interly/discord/select-channel
• POST /api/interly/telegram/create-deep-link
• GET /api/interly/telegram/connection-status
• POST /api/interly/telegram/create-connection-code
• POST /api/interly/telegram/confirm-connection-code
• POST /api/telegram/webhook
• POST /api/gumroad/webhook
• POST /api/gumroad/reconcile
• POST /api/interly/ateno-search
• POST /api/interly/ateno-search-email

Required environment variables

Create a local .env file or export these before running the Python sidecar:

GROK_API_KEY=
ATENO_SEARCH_GROK_MODEL=grok-4.3
GITHUB_TOKEN=
GMAIL_USER=
GMAIL_APP_PASSWORD=
RECIPIENT_EMAIL=
DAYS_LOOKBACK=3
MIN_GITHUB_STARS=10
MAX_EMAIL_ITEMS=10
INTERLY_API_BASE_URL=http://127.0.0.1:8001

# Firebase Admin (server)
FIREBASE_ADMIN_PROJECT_ID=
FIREBASE_ADMIN_CLIENT_EMAIL=
FIREBASE_ADMIN_PRIVATE_KEY=
# Alternative for local development
# GOOGLE_APPLICATION_CREDENTIALS=/absolute/path/to/firebase-service-account.json

# Destination delivery
ENCRYPTION_KEY=
SMTP_USER=
SMTP_PASSWORD=
EMAIL_FROM=
TELEGRAM_BOT_TOKEN=
TELEGRAM_BOT_USERNAME=InterlyBot
TELEGRAM_WEBHOOK_SECRET=

# Gumroad payments
GUMROAD_CHECKOUT_URL=https://checkout.interly.ateno.co
GUMROAD_WEBHOOK_SECRET=

# Slack OAuth
SLACK_CLIENT_ID=
SLACK_CLIENT_SECRET=
SLACK_REDIRECT_URI=
SLACK_SIGNING_SECRET=

# Discord OAuth/bot
DISCORD_CLIENT_ID=
DISCORD_CLIENT_SECRET=
DISCORD_BOT_TOKEN=
DISCORD_REDIRECT_URI=

Notes:

• GROK_API_KEY powers Grok classification and summarization. If it is missing, the pipeline falls back conservatively and marks items as excluded.
• ATENO_SEARCH_GROK_MODEL powers the Ateno Search endpoint. It defaults to grok-4.3 because this endpoint uses Grok web search.
• GITHUB_TOKEN avoids low anonymous GitHub rate limits.
• INTERLY_API_BASE_URL is read by the TanStack app on the server side and defaults to http://127.0.0.1:8001.
• ENCRYPTION_KEY is mandatory when creating webhook or Telegram integrations. Use a long random secret.
• FIREBASE_ADMIN_* credentials are used for ID token verification and Firestore writes.
• For local development, you can alternatively set GOOGLE_APPLICATION_CREDENTIALS to the absolute path of a Firebase service-account JSON key.
• In GCP runtimes with ADC, explicit Firebase Admin credentials can be omitted.
• Telegram webhook should be configured with x-telegram-bot-api-secret-token matching TELEGRAM_WEBHOOK_SECRET.
• Gumroad payment setup and deployment notes are in docs/payments.md.

Local setup

Install the frontend as usual, then create the Python virtualenv once:

/opt/homebrew/bin/python3 -m venv .venv
.venv/bin/python -m pip install -r requirements.txt

Start the Python API in one terminal:

npm run interly:api

Start the app in another terminal:

npm run dev

CLI

Interly includes a local CLI that uses the project Python sidecar. After setup, run it through npm:

npm run interly
npm run interly -- --help

Common commands:

npm run interly -- init-db
npm run interly -- run
npm run interly -- run --send-email
npm run interly -- digest
npm run interly -- digest my code
npm run interly -- competitor analysis
npm run interly -- ask "what should I improve in this repo?"
npm run interly -- summary
npm run interly -- tools --min-score 7 --limit 5
npm run interly -- sources
npm run interly -- api --host 127.0.0.1 --port 8001

Published users can run the same assistant-style commands directly:

interly
interly digest my code
interly competitor analysis
interly ask "what should I improve in this repo?"

Inside the interactive terminal interface, type / to show live slash-command suggestions.

The npm scripts use the same CLI:

npm run interly:run
npm run interly:api

Publishing the CLI

npm

The npm package is configured as @atenotech/interly, matching the Ateno npm organization scope.

Check the package contents before publishing:

npm run publish:npm:dry-run

Publish from an npm account that belongs to the atenotech organization:

npm login
npm publish

After publish, users can run:

npx @atenotech/interly --help
npm install -g @atenotech/interly
interly --help

PyPI

The Python package is configured as interly with the console command interly.

Build and publish from a PyPI account that owns the project, or from the approved Ateno organization once billing/approval is active:

.venv/bin/python -m pip install build twine
.venv/bin/python -m build --outdir py-dist
.venv/bin/python -m twine check py-dist/interly-0.1.5*
.venv/bin/python -m twine upload py-dist/interly-0.1.5*

This repo also has a frontend dist/ directory, so keep Python release artifacts in py-dist/.

After publish, users can run:

pipx install interly
interly --help

Trigger the same flows from HTTP:

curl -X POST http://127.0.0.1:8001/api/interly/run
curl -X POST http://127.0.0.1:8001/api/interly/send-email

Dashboard location

• Daily radar dashboard: /app/radar
• Digest preview and send controls: /app/digest
• Source health and sync status: /app/sources

The Radar page now reads live Interly summary and tool data from the Python backend and adds filters for category, source, minimum score, emailed state, open-source only, and AI-only.

Current backend layout

• interly_py/cli.py: CLI entrypoint for interly, including assistant-style prompts plus run, digest, summary, tools, sources, and API commands
• interly_py/assistant_cli.py: terminal assistant commands for code digests, competitor analysis, and repository-aware prompts
• main.py: compatibility entrypoint for python main.py
• interly_py/api.py: FastAPI app exposing /api/interly/summary, /api/interly/tools, /api/interly/sources, /api/interly/run, /api/interly/send-email, and Ateno Search endpoints
• interly_py/ateno_search.py: Ateno Search style Grok web-search endpoint for finding tools from user query, interests, and allowed sites
• interly_py/collectors/*: GitHub Search, Hacker News Algolia, and RSS collectors
• interly_py/grok_client.py: Grok client and strict-JSON classification handling
• interly_py/scoring.py: scoring and rejection logic
• interly_py/repository.py: SQLite reads/writes for tools, sources, and emails_sent
• data/interly.db: local SQLite database

Deployment options later

This repo currently deploys the frontend through Firebase Hosting, which does not run Python. The practical production options are:

1. Cloud Run service for the Python API plus a Cloud Run Job or Cloud Scheduler trigger for the daily run.
2. GitHub Actions on a schedule to run main.py, with the frontend pointing at the deployed Python API.
3. A VM or container with cron running main.py daily and uvicorn interly_py.api:app as the always-on API.

For all three options, keep the current TanStack app as the frontend and inject INTERLY_API_BASE_URL into the frontend server runtime.