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Taste Test
need your eyes on this one :)
two hero options for a private tutoring platform we're working on at @effekt_design
left or right?
15 votes
Ends in 1d
Went with the right aligned version. Left aligned text is easier to scan first and the CTA doesn't have to compete with the phone mockup for attention like it does in the centered one.
Lovely insights! Much appreciate G
Right Aligned
Appreciate the feedback man :)
I voted the left aligned hero too, though for a different reason than scanning speed: on a learning platform the headline and CTA need to land before the eye reaches the device, and the centered version splits attention between the two. Whichever ships, the real lever is CTA...
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🙌 Introducing Vyomaverse. 🚀
Vyomaverse is my own creative agency and design studio, built around the idea of creating brands and digital experiences without limits. From branding and UI/UX to websites and creative direction, this is the space where all my ideas come together.
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The website is already live, but it's still a work in progress. I've just completed the hero section, and there's a lot more to build in the coming weeks.
Have a look, and stay tuned—the full experience is coming soon.
A huge thank you to Envato and Contra for this amazing challenge and the opportunity to share my creative process.
#HumanByDesign #Envato #Contra #Vyomaverse #BrandIdentity #CreativeStudio #CreativeAgency #Branding #UIUX #WebDesign #DesignProcess
Terra — AI Environmental Risk Platform
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The challenge:
Development decisions are usually based on estimates, not real ground data — and by the time issues show up, it’s often too late to reverse them. The interface needed to make complex sensor/AI data feel immediate and trustworthy, without losing emotional weight.
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Raw, organic photography (wildflowers, grass, natural terrain) paired with clean glass-panel data cards — creating a visual tension between “nature” and “precision engineering.” Bold editorial typography carries the emotional message, while translucent metric cards surface real numbers: soil stability, canopy loss %, water table depth.
A strong example of turning dense environmental data into something a non-technical stakeholder can understand in seconds.
Nice one