Design no-code AI assistants for Telegram and Web. Manage conversations in a unified CRM, track UTMs, and automate your workflows. Start for free today!
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Maker
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Hello Product Hunt community! 👋
I’m Evgen, the creator of Botconsole.
As a developer, I noticed how fragmented the chatbot ecosystem is. Usually, you have to build the backend logic, maintain separate deployment pipes for Telegram and web widgets, and then hook up a third-party CRM just to see where your users came from.
That’s why I built Botconsole — a single canvas where you can design smart, multi-modal AI assistants that run identically across Telegram and interactive web widgets.
Key features we are launching today:
• Visual Flow Canvas: Drag, drop, and map out exactly how your bot thinks.
• Native AI Nodes: Seamlessly drop in OpenAI, ChatGPT, or your custom API payloads.
• Built-in Omnichannel CRM: Automatically log conversation history, UTM tags, and exact landing page URLs so your managers have full context instantly.
• One-Click Publish: No complex deploys or background daemons to manage.
Best part? All our core infrastructure features are completely free forever.
I'd love to get your feedback, answer any questions about the architecture, or hear what integrations you'd like to see next! What features are most critical for your own automated workflows?
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Would love to see a built-in A/B testing feature for bot responses so we can quickly see which scripts convert better with our Telegram audience.
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Maker
@glerdayara1vvd Hi! With the static message builder, you can set up random message distribution and use visual analytics to track metrics like button CTR—this works well for landing messages and is a common practice for identifying the most engaging scenarios and spotting where users drop off.
As for dynamic AI blocks, that requires a different kind of analysis tied to the AI agent's specific instructions; that’s something worth looking into—thanks for the suggestion!
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One thing I'd love to see is a built-in A/B testing feature for bot flows, so we can compare response variants and see which ones actually convert better inside the unified CRM.
Would love to see a built-in A/B testing feature for bot responses so we can quickly see which scripts convert better with our Telegram audience.
@glerdayara1vvd Hi! With the static message builder, you can set up random message distribution and use visual analytics to track metrics like button CTR—this works well for landing messages and is a common practice for identifying the most engaging scenarios and spotting where users drop off.
As for dynamic AI blocks, that requires a different kind of analysis tied to the AI agent's specific instructions; that’s something worth looking into—thanks for the suggestion!
One thing I'd love to see is a built-in A/B testing feature for bot flows, so we can compare response variants and see which ones actually convert better inside the unified CRM.