MonoChat Start with Shopify
Create your website's AI ChatBot in 1 minute
63 followers
Create your website's AI ChatBot in 1 minute
63 followers
MonoChat Start lets you create a fully functional AI chatbot for your website — instantly. Just enter your site URL, and in under a minute, it learns your content and starts chatting like a real assistant. No code, no setup, no training needed. 💡 Works with any website — and if you’re on Shopify, it can even search your store products. Every new user gets $20 free credit to start right away.
Hey Product Hunters 👋
Most websites track — but never truly listen.
Visitors click, scroll, and leave silently — no emotion, no feedback, no second chance.
What if your website could talk and feel?
Meet MonoChat Start — your 24/7 AI agent that learns your website in seconds.
Just drop your URL, and it instantly understands your content — chatting, guiding, and empathizing with visitors across WhatsApp, Instagram, Messenger, Telegram, and your own web chat.
The real challenge isn’t automation — it’s hearing what your customers really feel. MonoChat bridges that gap with natural, contextual conversations — no scripts, no setup, no coding.
And if you’re on Shopify, it gets even smarter: your AI assistant can instantly search your store, recommend products, and help customers complete purchases — right from the chat window.
Works out of the box. $20 free credit to try it live.
🚀 Try now → https://start.monochat.ai
@abdagli How does the sentiment analysis feature compare to existing tools like Intercom
@masump Great question, Masum 🙌
Unlike most fixed sentiment modules (like the ones in Intercom or Zendesk), MonoChat’s sentiment analysis isn’t hard-coded or limited to generic tone detection.
You can design custom RAG-based sentiment logic — combining embeddings, contextual cues, and even conversation-stage data.
This means every business (and even individual agents) can train or tune sentiment detection based on their sector, language, or conversation flow — for example:
• a real estate inquiry sounding “hesitant” triggers a reassurance flow 🏡
• a support chat with frustration tone escalates directly to a human 🤝
• a retail buyer expressing excitement auto-tags the chat for follow-up offers 🛍️
So instead of a one-size-fits-all model, you get a dynamic, domain-aware sentiment engine that adapts to your data and audience.
TL;DR — not just “positive/negative,” but why the customer feels that way — and what your AI should do next. 💬⚙️
🚀 Huge congrats on the launch, team! MonoChat Start feels like a big step forward for how websites interact with their visitors. Most sites track clicks and behavior — but finally, here’s a tool that actually listens and talks back.
The fact that you can just drop a URL and instantly get a fully functional AI assistant is incredible. No coding, no setup, and it even understands your content contextually — that’s a real breakthrough for businesses who want to connect with their audience in a more human way.
And the Shopify integration is a cherry on top — an AI that can search store products, recommend items, and guide users through purchases right from the chat window is exactly what online stores need right now.
Really impressed with the simplicity, the vision, and the attention to the “listening” part of customer engagement. Can’t wait to see MonoChat Start helping more websites turn silent visitors into real conversations 🙌
@giraykerem Thanks so much, Kerem 🙌
Couldn’t have done it without the team’s dedication — from the orchestration layer to the final chat flow, everyone poured heart into making “listening” the core of the product.
Excited to see how businesses use MonoChat Start to create more human, real-time connections with their visitors 💬✨
Cal ID
Congrats on the launch!
Does the chatbot support multiple languages out of the box or does it need to be trained separately for each language?
@sanskarix Thanks a lot! 🙌
Yes — MonoChat Start supports multiple languages out of the box 🌍
You don’t need any separate training — it automatically understands and responds in the user’s language.
Plus, it’s not limited to a single AI model. You can connect any large language model — GPT-4, Claude, Gemini, Mistral, or even your own on-premise model — and they’ll all work seamlessly with the same multilingual logic. 🚀
Cal ID
@abdagli Tackling multiple models with the same logic is really smart. I hope this launch does great!
@sanskarix Thanks a lot! 🙏
Yes — flexibility is at the heart of MonoChat.
You can connect any AI Model, MCP, or VectorDB — whether it’s your own model, m4p, or vector ocean — or simply use the ones that come built-in with MonoChat. ⚙️
With Custom Flows, you can design complete customer journey automations — from first message to conversion — and decide who handles each step: either human agents 👥 or AI agents 🤖
It also runs on-premise at enterprise scale, integrating with any internal system, AI tool, or custom dashboard you already use. 🏢💡
That’s what makes MonoChat not just a chatbot, but a full AI orchestration layer. 🚀
Cal ID
@abdagli As I said, connecting multiple models is both tricky and smart! I'm quite impressed by your work, buddy! Keep building!
Hi everyone 👋
We built MonoChat Start to turn any website or Shopify store into an AI-powered chat assistant — no code, no setup, just your URL.
But that’s just the beginning. The full MonoChat Platform connects businesses with customers across WhatsApp, Instagram, Facebook Messenger, and more, combining AI automation with live agent collaboration.
It handles everything from instant replies and multilingual support to CRM updates, custom workflows, and SDK-based extensions — all in one place.
Try MonoChat Start with $20 free credits and see how easy it is to launch your first AI assistant.
Absolutely, @osman_saral 💪
MonoChat Start is just the first glimpse of what we’ve been building — a future where businesses don’t just automate, but connect through intelligent, empathetic AI.
Let’s keep pushing boundaries 🚀
👏 A successful launch! Proud to be part of the team behind MonoChat’s Shopify integration — an important step toward more efficient and personalized customer communication. Excited to see how this solution elevates the e-commerce experience.
Thanks, @nuhylmz 🙌
Your work behind the scenes made it possible for MonoChat to handle millions of real-time messages seamlessly.
High-scale reliability like this is what allows businesses to truly grow with confidence — proud to have you on the team 💪
Exciting launch day! 🚀
As the Backend Team Lead at MonoChat Start, I’m incredibly proud to be part of this journey.
We built the foundation with Meteor.js 3 and Blaze.js, and powered it up with BullMQ, LangChain, and Redis-oplog to create a scalable, fast, and intelligent backend.
The result is not just a chatbot that “talks” — but one that truly understands and connects with users.
Huge thanks to the whole team for their dedication and hard work — together, we’ve taken a big step toward making website experiences more human. 🔥
Appreciate it, @recep_ozen 👏
The way you’ve blended performance, scalability, and intelligence in our backend is a masterclass in engineering.
Meteor, BullMQ, LangChain, Redis-oplog — each piece fits perfectly to deliver something that truly understands people.
Huge respect for leading this with such precision and passion. 💪
Great to see MonoChat Start live 🙌
This product came from a clear need: enabling organizations to deploy an intelligent assistant instantly, without technical overhead. Seeing that idea become a reliable tool has been a meaningful part of this journey.
Looking forward to contributing to its next phases of development across the broader MonoChat ecosystem, and helping ensure it grows in a way that stays practical and impactful.
@berras Thanks, Berra 🙌
You’ve been key in keeping our focus on what truly matters — building something intelligent and practical.
Love how you always tie innovation back to real user needs.
Excited to keep shaping the next chapters of MonoChat together 💬✨