RSS + Telegram: crypto digests posted in Russian
Turn RSS headlines into a polished Russian crypto digest in Telegram using OpenAI. Cut duplicates…
Launch Telegram bots and mini-app flows that capture leads, answer FAQs, route requests, and trigger follow-ups—so you respond faster, stay consistent, and close more sales.
A Telegram bot or mini-app event (message, command, button tap, form submit) triggers a workflow in n8n. The workflow can validate the request, look up context (like a user record), and decide what to do next. For example, it can call OpenAI to draft a helpful reply, save the lead to Google Sheets, and send an alert to your team. You can also use webhooks to connect payment, booking, or product systems so Telegram becomes a real front door.
Not usually. If you can follow a checklist and connect accounts, you’ll be fine. Most Flowpast workflows are plug-and-play: add your Telegram bot token, pick your destination (Sheets, email, CRM), and publish. If you want custom logic—like advanced routing rules or a richer mini-app experience—having a technical teammate helps, but it’s optional for many use cases.
In many teams, it saves about 2 hours a day by removing repetitive replies, manual lead logging, and “did we follow up?” tasks. Support questions get categorized automatically, common FAQs are answered instantly, and high-intent messages are escalated with context. The bigger win is fewer missed opportunities. When Telegram becomes your always-on intake channel, you respond faster and your data stays consistent across tools, even during busy launches.
You’ll need a Telegram bot token from BotFather, an n8n workspace (cloud or self-hosted), and access to any apps you want to connect, like Google Sheets or Gmail. For mini-apps, you may also use a webhook endpoint so your mini-app can post events into n8n. Start with a simple flow: capture a message, store it, send a confirmation, then add AI replies or routing once the basics are working.
Turn RSS headlines into a polished Russian crypto digest in Telegram using OpenAI. Cut duplicates…
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