Features Pricing Privacy GitHub Add to Telegram

Klaviyo · Telegram · LINE

Your Klaviyo data,
in the chat.

Nux connects to your Klaviyo account via OAuth and brings campaigns, profiles, lists, flows, and deliverability health right into Telegram and LINE.

Open source · Self-hostable · MIT

Features

What Nux does

📧
Campaign Insights
Open rates, click rates, revenue, and baseline deviation alerts for every sent campaign.
🩺
Deliverability Health
30-day rolling bounce, spam complaint, and unsubscribe rates with ✅ / ⚠️ / 🚫 health badges.
👤
Profile Lookup
Recent activity and full event history for any email address in your Klaviyo account.
📋
List & Segment Growth
Top lists and segments by member count, cached to stay well within Klaviyo's rate limits.
🔄
Flow Performance
Open, click, and revenue metrics per automation flow — delivered in seconds.
🤖
AI‑Powered Chat
Ask in plain English. Claude fetches live Klaviyo data to answer. (/chat, optional)

Platforms

Two platforms. One Klaviyo account.

Telegram
Slash commands
Rich Markdown responses, inline keyboards
You
/last_campaign
Nux
📧 Summer Sale · Jun 3
Recipients: 12,847
Open rate: 38.2% ↑
Click rate: 6.1%   Revenue: $4,210
LINE
Natural language
Flex Message cards, quick reply buttons
You
last campaign
Nux
📧 Summer Sale · Jun 3
Recipients: 12,847
Open rate: 38.2% ↑
Click rate: 6.1%   Revenue: $4,210
top campaigns deliverability connect

How it works

Up and running in 30 seconds

1
Connect Klaviyo
Send /connect in Telegram or connect in LINE. Authorize Nux in your Klaviyo account in one tap.
2
Send a message
Ask for your last campaign, a profile, list growth, or anything in natural language.
3
Get live data
Nux queries Klaviyo in real-time and replies with formatted metrics, trends, and alerts.

Open source

Run it yourself

Self-host on Railway, Fly.io, or any VPS. MIT licensed.

# Clone and configure
git clone https://github.com/androidua/nux.git
cd nux && cp .env.example .env

# Install and run
python3.13 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txt && python main.py
View on GitHub →