Content and social media publishing automation
I build pipelines: data turns into articles, cards and videos that are published on schedule, with a check that each post really went out.
What is included
- Generating pages and articles from structured data
- Photo selection and video rendering
- Publishing to Telegram, Instagram, TikTok, Pinterest, YouTube and Dzen
- Schedule, queue and retry on failure
- Verification that the publication is live
Who it is for
- Information portals and blogs
- Channels with a large stream of offers
- Owners with no time for manual posting
Result
Regular content without manual routine and with quality control.
Examples
Publishing pipeline
Site material becomes posts and videos that go to five platforms on schedule, with verification of the result.
HotTrip
An ecosystem around flights and tours: a portal, an AI bot, a Telegram Mini App, an API and an automated channel.
Related articles
Telegram auto-posting with n8n and PostgreSQL: pipeline design
An auto-posting pipeline has five steps: collect data, store it, prepare the post, queue it and publish with verification. n8n connects the steps and PostgreSQL keeps the state and prevents duplicates.
Automation · Oct 30, 2026No duplicates in auto-posting: a key, ON CONFLICT and a queue
Remove duplicates in the database, not in the workflow: give every offer a unique key and insert it with ON CONFLICT DO NOTHING. Pull the send queue with FOR UPDATE SKIP LOCKED, and use new, sending and sent statuses so any step can be safely retried.
FAQ
Will platforms ban auto-posting?
Every platform has its own rules. I use official APIs where they exist and careful scenarios with pauses where they do not. I discuss risks in advance.
Tell me about your task
Describe what needs to be done, even in a couple of lines. I will reply with questions or an estimate.