Revolutionize Workflow with AI-Powered Kanban Pipelines

Revolutionize Workflow with AI-Powered Kanban PipelinesRevolutionize Workflow with AI-Powered Kanban Pipelines

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Oni Temitope

• Jun 4

Having a Kanban pipeline mixed with an AI reply classifier. Brilliant concept..

Olayinka David

pro

• Jun 4

With the help of Stitch I've invented Outreach OS : A LinkedIn outreach command center for B2B Sales Teams & Reps. The problem: Sales Teams use sometime more than 6 tools to run a single outreach campaign. The solution & Features: • Kanban pipeline with urgency indicators •...

Dmitrii Monchenko

• Jun 12

Meet Compagnon — a mobile-first Operating System designed to give field artisans their evenings back.

The Problem: After a heavy shift, craftsmen spend up to an hour every evening doing manual admin work (calculating quotes, checking tax compliance, drafting PDFs). The Solution: Compagnon turns that 60-minute nightmare into a 3-minute on-site workflow.

Workflow & Tools Used: I leveraged Figma Make AI to instantly generate the core B2E architecture and layout structures. By automating the foundation, I could step in as a Lead Designer and focus entirely on the craft: 🌿 Building a premium, eco-friendly design system. 👆 Enlarging touch targets specifically for users wearing work gloves. ☀️ Optimizing contrast and soft shadows for direct sunlight visibility.

Project Links: 🔗 Figma Community File: https://www.figma.com/community/file/1646552332089445106/compagnon-field-os-for-artisans-config-makeathon 🛠️ Figma Working File: https://www.figma.com/design/jOAAIG3Z5pNImHQISeyeNv/Compagnon-%E2%80%94-Field-OS-for-Artisans--Config-Makeathon-.?node-id=0-1&t=Is4zNx7FJScepzxy-1 📺 Social Pitch Video (LinkedIn): https://www.linkedin.com/feed/update/urn:li:ugcPost:7471125508097863680/

Thank you for the opportunity to build with meaning!

configmakeathon Figma

MD Rafee Alam

• Jun 13

The glove-optimized touch targets and sunlight contrast are the kind of details that only come from actually thinking about who's holding the phone. Most mobile design doesn't consider context-of-use like that. Really solid approach for an underserved user.

PIXELUP LABS

max

• Jun 10

Snapshots from our work with Streamline AI

Aminu Ganiyat

• Jun 10

It's good

Kartike Singh

• Jun 13

Do you have a clone? You reply to 50+ DMs and comments a week (maybe even a day). Same questions. Same topics. Same energy required every single time. What if your clone could do it Not a generic chatbot. Not "Hi! How can I help you today?" Actually you. Your tone, your thinking, your style. I’ll give you the TL:DR 1. Reply Database => Your past DMs, comments, responses, organized by platform & content type. => Because how you reply on LinkedIn isn't how you reply on Instagram. The AI learns the difference. 2. Knowledge base => Your frameworks, your takes, your recurring advice => So when someone asks a question you've answered 20 times AI uses that data not generic advise. 3. Instructions => What matters to you in a reply? => What do you always avoid saying? => How do you think through a response? => This becomes the AI's operating logic. The result: an AI that replies the way you would, when you can’t. Building this properly takes some thought. I have put together a free guide that walks through the exact setup. The structure, what to collect, how to train it. Drop a comment and I'll send it your way