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S.A.M. - is an AI-driven, end-to-end radio broadcasting platform that generates shows/voice, manages music, ads, and news, and engages audiences in real time. Summary: Modules include Control Center, Live Broadcast, Music Library (Suno generation + webhook saving), Playlists, News Center, Audience Hub, Ad Management, DJ Profiles, Show Templates, Station Branding, and Analytics, with automation for scheduling and live context refresh.
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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@Figma to @Shopify with @Instant, feels like designing at light speed if you are fast enough, you can design each section while the next one gets built with
@Instant AI is the part I love the best while using AI, adding my human touch and personal taste
say NO to e-comm generic design flop
turn on sound 🔈
the faq block makes the page easy to use
Agent products resist normal product marketing. There's no single interface to screenshot and the category vocabulary has gone generic, so a feature list communicates almost nothing.
We built Heron's explanation as a four-beat scroll that runs the agent's actual loop. The model appears and is watched. Violations surface with plain language and a real IBC clause. An edit is applied after approval. The system learns the firm's standards.
Pacing was the main design problem. Each beat needed enough scroll distance to register as a separate action, without the section becoming so long that people bail before the payoff. The sequence carries the technical detail that would otherwise sit in a spec table.
The four-beat scroll is a smart way to make the agent’s loop feel tangible—much clearer than a static feature list. The restrained visual system gives the interaction room to breathe.
🚀 RestoBarApp — Cloud POS & Multi-Tenant Hospitality Management SaaS
Architected and deployed a full production B2B SaaS platform for restaurants, bars, and hospitality businesses with active daily operations and paying subscribers.
Key Engineering & Product Highlights:
• Integrated AI Operations Assistant: In-app conversational assistant powered by Google Gemini API, allowing restaurant managers to query sales velocity, stock anomalies, and daily operational metrics in real-time.
• Granular Inventory Engine: Real-time ingredient tracking down to the gram/milliliter linked directly to recipe consumption upon checkout.
• Real-Time Kitchen Sync: Bi-directional WebSocket events keeping order queues synchronized across multiple kitchen stations with zero page reloads.
• Multi-Branch & Multi-Tenant: Robust tenant data isolation, custom role-based permissions (Cashier, Waiter, Kitchen, Admin), and multi-location management.
• Automated Invoicing & Thermal Printing: Seamless thermal POS receipt generation and automated billing lifecycle management.
🛠 Tech Stack:
Node.js • Express • MongoDB • Real-time WebSockets • Google Gemini API • TailwindCSS • Google Cloud Platform (GCP)
🔗 Live Platform: https://app.restobarapp.com
saasnodejsfullstackFull Stack DevelopmentBackend DevelopmentSoftware ArchitectureGoogle Cloud PlatformMongoDBNode.js
Great work 👍🏻
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