Automating LinkedIn Posts from Telegram with Hexabot

In this article, I want to share a practical Hexabot demo: publishing a LinkedIn post directly from Telegram. The idea is simple: You send a message to a Telegram bot. Hexabot receives it. An AI workflow prepares the LinkedIn post. The content is published to LinkedIn automatically. This is a small example, but it demonstrates something important: AI workflows do not have to live only inside dashboards or internal tools. They can start from a conversation, connect to external services, use AI, and trigger real business actions. What we are building This example connects three main pieces: Telegram as the input channel Hexabot as the AI workflow automation engine LinkedIn as the publishing destination The workflow starts when a user sends a message to a Telegram bot. Hexabot receives the message through the Telegram channel extension, processes it through a workflow, generates or formats the LinkedIn post using an AI model, then publishes it using the LinkedIn API. You can find the full example here: https://github.com/hexabot-ai/linkedin-post-from-telegram-example Why this example matters A lot of AI demos stop at generating text. But in real operations, generating text is rarely the final step. Usually, you need to: receive input from a user or a system understand the request transform it into structured content call an external API track what happened and keep the process reusable That is where workflow automation becomes useful. In this example, Telegram is not just a chat interface. It becomes the entry point for an automation process. LinkedIn is not just a manual publishing destination. It becomes an action executed by the workflow. Hexabot sits in the middle as the orchestration layer. How the workflow works At a high level, the flow looks like this: Telegram message ↓ Hexabot Telegram channel ↓ AI workflow ↓ LinkedIn publisher action ↓ LinkedIn post Enter fullscreen mode Exit fullscreen mode A user sends a prompt such as: Write me a LinkedIn post about this first test post that I sent from Telegram to my Hexabot LinkedIn integration. Enter fullscreen mode Exit fullscreen mode Hexabot receives the message, runs the imported workflow, uses the configured AI model to prepare the content, then publishes the final post to LinkedIn. Main setup steps The repository includes a detailed README, but here is the overall process. 1. Create a Hexabot project First, install the Hexabot CLI and create a new project: npm install -g @hexabot-ai/cli hexabot create hexabot-linkedin-bot cd hexabot-linkedin-bot Enter fullscreen mode Exit fullscreen mode Then start the project locally: hexabot dev Enter fullscreen mode Exit fullscreen mode The admin interface will be available at: http://localhost:3000 Enter fullscreen mode Exit fullscreen mode 2. Create a Telegram bot To receive messages from Telegram, you need to create a bot using @BotFather. In Telegram: /start /newbot Enter fullscreen mode Exit fullscreen mode After choosing a name and username, Telegram gives you a bot token. This token will later be configured inside Hexabot as a credential. 3. Install the Telegram channel extension The example uses the Hexabot Telegram channel extension: npm install hexabot-channel-telegram Enter fullscreen mode Exit fullscreen mode This extension allows Hexabot to receive messages from Telegram and use them as workflow inputs. 4. Expose your local API Telegram needs a public webhook URL to send messages to your local Hexabot instance. For local development, you can use a tunneling service such as: ngrok pinggy Enter fullscreen mode Exit fullscreen mode Once your local API is exposed, update your .env file: API_ORIGIN=https://your-public-url.example.com/api Enter fullscreen mode Exit fullscreen mode 5. Configure the Telegram source in Hexabot Inside the Hexabot admin panel, go to the sources settings page: http://localhost:3000/settings/sources Enter fullscreen mode Exit fullscreen mode From there, configure the Telegram source: enable the source select the default workflow add the Telegram bot token credential add a webhook secret credential enable automatic webhook setup if needed This allows Telegram messages to be routed into the correct Hexabot workflow. 6. Configure LinkedIn access To publish to LinkedIn, you need a LinkedIn developer application and an access token with the required permissions. The README walks through the process of: creating a LinkedIn app enabling the required LinkedIn products generating an OAuth access token retrieving the LinkedIn sub identifier using that identifier as the author reference for publishing You will need two important values: LinkedIn access token LinkedIn member identifier Enter fullscreen mode Exit fullscreen mode These values are used by the LinkedIn publisher step in the workflow. 7. Import the workflow The repository includes a ready-made workflow file: linkedin-post-form-telegram.yml Enter fullscreen mode Exit fullscreen mode Import it from the Hexabot workflow editor: http://localhost:3000/workflow-editor/ Enter fullscreen mode Exit fullscreen mode After importing it, configure: the AI model provider the model name the AI API key credential the LinkedIn access token the default LinkedIn author identifier Once saved, the workflow is ready to run. What makes Hexabot useful here This example is not only about publishing to LinkedIn. It shows how Hexabot can be used as an AI automation layer where workflows can: start from a conversation connect to channels like Telegram use AI models call external APIs execute real actions stay self-hostable and extensible For developers, this is especially useful because Hexabot workflows can be extended with custom actions, channels, and integrations. That means you are not limited to Telegram and LinkedIn. The same pattern could be adapted for: posting to other social platforms creating CRM notes sending internal notifications generating support replies preparing marketing content triggering approval workflows building internal AI assistants Final thoughts This Telegram-to-LinkedIn example is intentionally simple, but it shows the power of connecting conversations with real automation. Instead of opening multiple tools, copying text, formatting content, and publishing manually, you can start the whole process from a Telegram message and let Hexabot orchestrate the workflow. You can explore the full example here: https://github.com/hexabot-ai/linkedin-post-from-telegram-example And if you find Hexabot useful, consider giving the main repository a star on GitHub: Star the Hexabot Github Repository ⭐