Dripmint: AI-Native Outbound Engine
The intelligent cold email engine built for real replies.
4 followers
The intelligent cold email engine built for real replies.
4 followers
Dripmint is an AI-Native outbound engine that automates the entire cold outreach workflow. While traditional tools blast generic sequences, Dripmint focuses on precision: AI-generated multi-step emails, pre-drip lead selection, timezone-optimized scheduling, and instant reply-aware automation. It’s built for founders, freelancers, and growth teams who want smarter outreach—not louder noise.
Hi everyone! I’m Khamis, the founder of Dripmint 👋
I built this because existing cold email tools felt clunky, chaotic, or too aggressive. Nothing respected timing, tone, deliverability — or the human on the other side.
Dripmint is my attempt to fix that.
Would love your feedback and happy to answer any questions. Thanks for supporting this launch! 🙏
Happy to share more about how the engine works if anyone is curious!
A little behind-the-scenes background:
Dripmint started out of pure frustration with existing cold outreach tools. Most felt rushed, complicated, or weren’t built with deliverability and human-in-the-loop sequencing in mind.
I wanted something clean, respectful, and smart — especially around timing, replies, and personalization. So I rebuilt the entire flow from scratch, focusing on what actually matters for modern founders and sales teams.
If you're curious about the architecture, the AI layer, or the UX decisions, happy to share more! 🙌
This rebuild took months — happy to explain sequencing logic!
For the technical folks, here’s a quick look under the hood:
• Rails 7.1 with Turbo + Stimulus
• PostgreSQL for core data + sequences
• A dedicated smart drip engine (time-of-day, reply detection, batching)
• AI-layered generation (Deepseek/OpenAI adapter)
• Clean queueing with Sidekiq/ActiveJob with a dedicated retry layer
• Strong separation between pre-drip ( a polishing layer for raw leads imported into the system) and drip engines
• Built with deliverability, sequencing, and human-tone personalization in mind
Happy to deep dive into any part of the architecture if you'd like! ⚙️💡
Tech stack questions? Ask me anything!
If anyone has questions about the AI layer or sequencing logic, happy to share more!
The engine has a lot of under-the-hood detail.
Swytchcode
Congrats on the launch!
@chilarai , Thank you Chilarai. And nice meeting you here.