3D Explainer Video Creation for Complex Concepts
Budget: $250 – $750 NZD
We are looking for an experienced 3D animator to create a 2-3 minutes 3D video explainer detailed below, i can provide pictures, math formulas, anything needed additional to this, including answering any question.explainer video.
The video will feature:
1 • Intro
Visual Zoom-out from Earth wrapped in a glowing triangular grid; nodes pulse, finance icons hover over cities.
VO “Our planet teems with geospatial data—climate, urban growth, resources, mobility—yet public blockchains can’t express its layered nature. GeoVM bridges physical reality and DeFi.”
2 • Problem
Visual Split screen: left = flat rows/columns (EVM, SVM logos); right = nested, multi-scale map.
VO “Traditional VMs handle uniform tables; geospatial info is hierarchical—from global trends to local detail. The mismatch blocks efficient markets for location-based assets.”
3 • HTM
Visual Octahedron → sphere → recursive triangle cells (trixels) zooming in.
VO “GeoVM rests on the Hierarchical Triangular Mesh. Earth is tiled into trixels, each subdividing for any resolution.”
4 • Merkle-Sierpiński Tree
Visual HTM triangles fold into a glowing Merkle tree; hash paths travel to the root.
VO “Hashing the HTM creates a Merkle-Sierpiński tree, letting any geodata be verified quickly and synced to Layer 1s.”
5 • Core Ops
Visual (a) Small trixels merge upward (Aggregation) (b) Large trixel splits value downward (Allocation).
VO “Native ops aggregate data up—e.g., total emissions of a zone—or allocate value down, like assigning carbon targets to parcels.”
6 • Use-case Montage
• DePIN Sensors linking across a city • Env Monitoring Live air-quality heat-map • Tokenized Real-Estate Parcels with ownership tokens • Carbon Credits Forest polygons + trade icons.
VO “GeoVM powers DePIN networks, verifiable env-monitoring, fractional real estate, and transparent carbon markets.”
7 • Architecture
Visual Two-layer stack: top = fast shard data; bottom = secure Layer 1 with DEX, lending, derivatives icons. Merkle proofs connect layers.
VO “High-throughput geodata runs on Layer 2 shards; cryptographic proofs anchor to Layer 1, enabling advanced financial instruments secured by real-world information.”
8 • Conclusion
Visual Return to Earth: colourful capital flows span regions and zoom levels; metrics float above the mesh.
VO “By encoding geography, GeoVM unlocks price discovery for Earth’s assets and channels capital where it’s needed—globally or hyper-locally. Join us in building location-aware finance.”
End Card
Visual GeoVM logo + URL.
VO “Learn more and get involved
Please also respond this questiom otherwise I will never reply....
share links to relevant portfolio works, with proof that you completed them
Describe your recent experience with similar projects
The video will feature:
1 • Intro
Visual Zoom-out from Earth wrapped in a glowing triangular grid; nodes pulse, finance icons hover over cities.
VO “Our planet teems with geospatial data—climate, urban growth, resources, mobility—yet public blockchains can’t express its layered nature. GeoVM bridges physical reality and DeFi.”
2 • Problem
Visual Split screen: left = flat rows/columns (EVM, SVM logos); right = nested, multi-scale map.
VO “Traditional VMs handle uniform tables; geospatial info is hierarchical—from global trends to local detail. The mismatch blocks efficient markets for location-based assets.”
3 • HTM
Visual Octahedron → sphere → recursive triangle cells (trixels) zooming in.
VO “GeoVM rests on the Hierarchical Triangular Mesh. Earth is tiled into trixels, each subdividing for any resolution.”
4 • Merkle-Sierpiński Tree
Visual HTM triangles fold into a glowing Merkle tree; hash paths travel to the root.
VO “Hashing the HTM creates a Merkle-Sierpiński tree, letting any geodata be verified quickly and synced to Layer 1s.”
5 • Core Ops
Visual (a) Small trixels merge upward (Aggregation) (b) Large trixel splits value downward (Allocation).
VO “Native ops aggregate data up—e.g., total emissions of a zone—or allocate value down, like assigning carbon targets to parcels.”
6 • Use-case Montage
• DePIN Sensors linking across a city • Env Monitoring Live air-quality heat-map • Tokenized Real-Estate Parcels with ownership tokens • Carbon Credits Forest polygons + trade icons.
VO “GeoVM powers DePIN networks, verifiable env-monitoring, fractional real estate, and transparent carbon markets.”
7 • Architecture
Visual Two-layer stack: top = fast shard data; bottom = secure Layer 1 with DEX, lending, derivatives icons. Merkle proofs connect layers.
VO “High-throughput geodata runs on Layer 2 shards; cryptographic proofs anchor to Layer 1, enabling advanced financial instruments secured by real-world information.”
8 • Conclusion
Visual Return to Earth: colourful capital flows span regions and zoom levels; metrics float above the mesh.
VO “By encoding geography, GeoVM unlocks price discovery for Earth’s assets and channels capital where it’s needed—globally or hyper-locally. Join us in building location-aware finance.”
End Card
Visual GeoVM logo + URL.
VO “Learn more and get involved
Please also respond this questiom otherwise I will never reply....
share links to relevant portfolio works, with proof that you completed them
Describe your recent experience with similar projects