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🙌 Some of my Telegram chatbot development projects
1. PARSER + AI WRITER
2. TIKTOK Viral Scanner
3. YOUTUBE VIDEO TRANSLATOR
4. CRYPTO HEDGER
5. REPOST TT TO SHORTS
And 20+ others
Automation EngineeringTelegram APIchatbotautomationAI AutomationAI Chatbot DevelopmentTelegram botsPython
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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You're wasting 3+ hours/week writing social posts manually. 🕐
Here's what founders are doing instead:
One n8n workflow that researches your topic → writes LinkedIn, Reddit & X posts → matches your exact tone — sounds 100% human, fully automated.
How it works:
→ You pick a topic
→ AI researches it live
→ Generates platform-specific posts in your voice
→ Schedules & publishes automatically
No ghostwriter. No agency. No burnout.
E-commerce founders, solopreneurs & marketers are reclaiming their week while staying consistently visible across every platform.
Automation isn't the future it's what your competitors are already using.
Want to set this up for your business?
Sound Junior Social Media Manager
I help SaaS startups automate customer support, onboarding, and internal workflows using AI agents.
I build AI chatbots and custom AI agents trained on your product documentation so users get instant answers, support teams save time, and businesses capture more leads.
What I build:
• AI support chatbots for SaaS
• Custom AI agents inside apps & dashboards
• AI-powered lead generation assistants
• Automation workflows using APIs and LLMs
Tech stack:
OpenAI APIs • AI Agents • FastAPI • Node.js • SaaS integrations
If you're building a SaaS product and want to automate support or user workflows with AI, feel free to reach out.
I’ve been a bit quiet lately. The truth is, I took a break from posting because I was deep in the trenches of production. Building a "cool" automation is easy; making it run reliably every single day for a client is where the real work happens.
In the last few weeks, I’ve been focusing on the gap between a Webflow prototype and a production-ready system.
What I’ve learned (again):
Error handling is 80% of the job. It’s not about the "Happy Path"—it's about what happens when an API is down.
Simple > Complex. I’ve spent more time deleting nodes than adding them.
Context matters. A Webflow form is just data; a well-prompted n8n agent makes it actionable.
It feels good to be back. I’m excited to share some of the patterns I’ve been developing.
What have you been building? 👇
#n8n #Webflow #Automation #Reliability #ProductionReady
Completely agree with this. The real challenge isn’t building the automation, it’s making it reliable in production. Error handling, retries, and edge cases end up being most of the work. Also love the point about deleting nodes instead of adding them simplicity usually wins in the long run.
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