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Built a production-ready AI sales intelligence CRM for B2B distribution teams. The platform helps sales reps enrich account data, manage leads, track opportunities, monitor pipeline activity, and coordinate follow-ups from one workspace. I implemented email/password access, demo-ready user accounts, realistic sample CRM data, Docker-based deployment, PostgreSQL storage, background jobs, file storage, and HTTPS routing for a client-ready product demo.
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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Designed and developed an end-to-end AI automation workflow using n8n to streamline client communication and CRM operations. The system receives Telegram messages, analyzes client requests with AI, classifies priority levels, stores leads in Google Sheets and Supabase, sends automated email notifications, replies to clients instantly via Telegram, and prepares structured prompts for CRM integration. This workflow reduces manual work, improves response times, and keeps customer data organized in real time.
I built Threadline for the $100k Higgsfield App Contest
I just entered Threadline into the Higgsfield App Contest — an AI launch studio for streetwear and fashion brands. Upload one product mockup, and it turns into a full launch pack: styled product photos, a lookbook video, a UGC-style clip, and ready-to-post captions.
The whole thing was built by Claude, through Higgsfield's own MCP server — direct git access to the app's repo, real deploys, iterating live against the actual running app instead of a local mockup. No hand-written scaffolding.
A few things I focused on: mixing different AI models per asset (or locking one model so the same person shows up across every photo and video), editing any generated photo with a prompt, and a full history so nothing you generate is ever lost. Full technical breakdown, including what I ran into building on Higgsfield's own design system: https://contra.com/p/mP2FqcZc-ai-powered-app-threadline-for-higgsfield-supercomputer
Try it live: threadline.higgsfield.app — or on the Higgsfield platform itself: https://higgsfield.ai/supercomputer/apps/0eabe215-ee8b-4c39-9457-b3ae3cca9004/view
If you're in this community and already build with Higgsfield — come test it and tell me what's broken and what could be better. This is v1, and I want to keep pushing it until it's an actual tool people reach for, not just a contest demo.
Incredible project! Turning a single mockup into a full visual launch suite with UGC videos and consistent models is pure magic for streetwear brands. The Claude + MCP development workflow makes this even more impressive. Outstanding execution, fingers crossed for the contest! 🚀🔥
Nice work! - I like the combination of MCP to canvas to code
Built an entire fintech UI in one session - 16 screens, zero Figma files.
Connected @flowstep_ai MCP to Claude Code > generated every screen directly on the canvas via prompts. No manual pixel-pushing.
Used design skills (hallmark, impeccable, prompt-master) to refine each...