Your product launch, visualized like a NASA mission.

FlowCast is an AI-powered product launch command center built entirely with Google Stitch — designed for founders, growth operators, and startup teams who need real-time launch intelligence in one place.

5 fully animated, interactive pages:

Launch Dashboard — live metrics, animated score ring, momentum feed

Launch Countdown — cinematic timer with GO LIVE trigger

Audience Intel — world heatmap, persona breakdown, sentiment arc

Content Command — AI draft generator with viral score probability

Settings — profile, integrations, notification toggles

🔗 Live Prototype: https://flowcast-mission-control-507808598152.europe-west2.run.app/

How I used Stitch: Started from a blank canvas. Used streaming generation to build all 5 pages, in-place AI edits to fix and animate components without breaking existing layouts, and native HTML canvas motion for all animations — arcs, count-ups, pulsing maps, ghost cursor, and ripple effects. Exported directly to a live deployment link.

What makes it different: Every metric moves. Every number counts up. Every page breathes. FlowCast doesn't just show you launch data — it makes you feel the momentum.

Nice buddy, Mobile UI's amazing

1. Project Link https://stitch.withgoogle.com/projects/9509844389363739472 website link https://rupendrajnv.github.io/stitch/ ---------- What I built: A cinematic Web3 fintech landing page for a fictional startup called Fluxora — featuring a full-screen AI character video background, glassmorphism stat cards with animated count-ups, a custom cursor, scroll-triggered reveals, and a deep navy-blue color system. The experience is designed to feel alive from the first second — motion-forward, conversion-focused, and premium. 🔧 How I Used Stitch

I came to Stitch with a clear creative direction and one asset — an AI-generated character video from Kling. I prompted Stitch to build a full landing page around it: cinematic overlay system, glassmorphism UI components, animated statistics, and a partner bar. Stitch generated the entire interface in one pass, and I used in-place AI edits to refine the color theme from red to a clean navy-blue system and tighten the typography hierarchy. The native motion and animation support let me get scroll-triggered reveals and count-up animations without writing a single line of JS manually. 💬 Feedback on Stitch

Stitch's streaming canvas generation is genuinely fast — watching the interface build itself in real time made iteration feel low-friction. The in-place edit workflow (prompt + point-and-click) was the standout feature for me. Being able to say "change the overlay to blue" and see it apply contextually — without rebuilding from scratch — is exactly how AI tools should work in a design workflow. The motion and animation support on the HTML canvas is a real differentiator. For someone coming from a video and motion design background, having that baked in natively felt natural. Would love deeper control over animation easing curves in a future update. -- Post on X https://x.com/techupd59581740/status/2060750926793879905?s=20

sleek 👌🏽