Challenge: Most B2B finance platforms lean on vague "AI-powered insights" messaging that skips what a finance director actually cares about, closing the books faster, with fewer errors.
Approach: Designed a data-forward homepage that leads with the real business outcome (a faster, lower-risk month-end close) before introducing features. Built a CMS-driven feature walkthrough with scroll-synced dashboard screenshots, count-up trust stats, and a dense-but-organized layout, real product screens instead of illustration filler.
Deliverables: Full homepage (hero, trust bar, feature walkthrough, testimonial, pricing teaser, footer CTA) with scroll-triggered reveal sequencing, built in Framer.
Result: A homepage that reframes the value prop around risk reduction and speed, the two things a finance buyer actually converts on.
📩 Open to Framer projects in fintech, B2B SaaS, and other data-forward products.
Mote is a pre-order landing page template for hardware and physical products, built in Framer.
It covers the whole run-up to a launch: a cinematic hero, a scroll-scrubbed product film, a spec table, a reservation countdown, two pricing options, FAQ and testimonials, plus a reserve page with a working form, a terms page and a 404.
Who it is for: hardware startups opening pre-orders, wearables and consumer electronics launches, limited runs, and agencies building launch pages for product clients.
You get the template as an instant Framer remix link, or the bundle with the Figma design file. $79 one time, $119 with Figma.
I noticed that you have not only named it purpose forbphysical products, but also made it actually feel like physical on the design too. Great approach and design!
Today we want to share the results of the animation exploration for the Greeney website that I made yesterday.
Featuring smooth animations in each element to add to the beauty of a design.
Some quick mockups for Relay, an AI infrastructure platform concept built around model routing, observability, and performance.
Exploring what a mobile command center could look like for teams managing multiple AI models, with a focus on clear data, fast decisions, and a developer-first UX.
Product design, mobile UI, AI tools, and a little systems thinking all in one.