MonoChat
Most chat tools make you adapt. MonoChat adapts to you.
63 followers
Most chat tools make you adapt. MonoChat adapts to you.
63 followers
Control the chaos of customer conversations.
MonoChat unifies all your messaging channels into one inbox and stands out with lightning-fast support and fully custom integrations — so you can automate workflows, deploy AI agents, and scale without limits.
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 💬✨
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. 💪
Appreciate it, @betistt 💫
Technology means little without the human side — and you’ve been such a big part of keeping that balance alive in everything we do.
MonoChat Start is proof that empathy can scale too 💬✨
I really appreciate how MonoChat abstracts away the hard parts of conversational AI — training, context handling, and integration across multiple platforms.
The instant website learning part is especially impressive. Usually, setting up a chatbot involves long fine-tuning loops and data prep, but this seems plug-and-play 👏.
Appreciate it, @haci_veli_karakus 👏
"Plug-and-play AI" sums it up perfectly — removing all the heavy lifting behind training and integration was the biggest challenge.
Huge credit to the mobile and platform teams for making it just work across channels 💬⚙️