July 1, 2023

July 1, 2023

Flakestake

Flakestake

Flakestake

Flakestake is a dynamic basketball team portfolio showcasing player stats, and match highlights. It blends sleek visuals with interactive features for an immersive experience.

Flakestake is a dynamic basketball team portfolio showcasing player stats, and match highlights. It blends sleek visuals with interactive features for an immersive experience.

Flakestake is a dynamic basketball team portfolio showcasing player stats, and match highlights. It blends sleek visuals with interactive features for an immersive experience.

Dribbling
Dribbling
Dribbling

Year

2023

Client

Christian Clay

Category

Marketplace

Product Duration

3 - 4 Weeks
Research
Research
Research

Flakestake aims to explore the intersection of sports and digital media, focusing on the development of basketball team portfolios that enhance fan engagement and attract sponsors. The project investigates how design elements like interactive statistics, player profiles, and visual storytelling can be integrated to create a compelling, user-friendly platform. By researching existing sports portfolios and fan preferences.

Design
Design
Design

Flakestake’s design is built to emphasize the energy and passion of the game. The homepage features bold visuals with an action-packed aesthetic, capturing the essence of basketball through high-quality imagery and dynamic animations. Interactive player profiles highlight key stats and milestones, while the team section showcases past victories and future goals.

Basketball
Basketball
Basketball
Development
Development
Development

Flakestake is a cutting-edge portfolio designed to elevate the online presence of a basketball team. The platform integrates dynamic features such as real-time player statistics, team achievements, match highlights, and upcoming events, offering an engaging and immersive experience for fans, sponsors, and media.

Dribbling
Dribbling
Dribbling
Concept
Concept
Concept

Flakestake is a cutting-edge basketball team portfolio designed to highlight the essence of a team’s performance, history, and future aspirations. The concept focuses on creating an immersive platform where fans, potential sponsors, and team members can engage with detailed player profiles, game statistics, match highlights, and behind-the-scenes content.

Basketball Board
Basketball Board
Basketball Board
  • More Works More Works

FREQUENTLY
Asked Questions

01

What can I generate with 404?

02

Do I need 3D or AI experience to use 404?

03

Who owns the rights to the generated 3D assets?

04

What are Gaussian splats, and why does 404 use them?

05

Are the generated assets production-ready or game-ready?

06

How does the competition-based generation system work?

07

Is my data, prompt, or reference image shared with others?

08

Which formats can I export, and can splats be converted to meshes?

09

Is there an API for pipeline or real-time usage?

FREQUENTLY
Asked Questions

01

What can I generate with 404?

02

Do I need 3D or AI experience to use 404?

03

Who owns the rights to the generated 3D assets?

04

What are Gaussian splats, and why does 404 use them?

05

Are the generated assets production-ready or game-ready?

06

How does the competition-based generation system work?

07

Is my data, prompt, or reference image shared with others?

08

Which formats can I export, and can splats be converted to meshes?

09

Is there an API for pipeline or real-time usage?

FAQ's

What can I generate with 404?
Do I need 3D or AI experience to use 404?
Who owns the rights to the generated 3D assets?
What are Gaussian splats, and why does 404 use them?
Are the generated assets production-ready or game-ready?
How does the competition-based generation system work?
Is my data, prompt, or reference image shared with others?
Which formats can I export, and can splats be converted to meshes?
Is there an API for pipeline or real-time usage?

FREQUENTLY
Asked Questions

01

What can I generate with 404?

02

Do I need 3D or AI experience to use 404?

03

Who owns the rights to the generated 3D assets?

04

What are Gaussian splats, and why does 404 use them?

05

Are the generated assets production-ready or game-ready?

06

How does the competition-based generation system work?

07

Is my data, prompt, or reference image shared with others?

08

Which formats can I export, and can splats be converted to meshes?

09

Is there an API for pipeline or real-time usage?

start building with 404

The first decentralized 3d ai

built on bittensor - the blockchain for next-gen ai

start building with 404

The first decentralized 3d ai

built on bittensor - the blockchain for next-gen ai

start building with 404

start building with 404

The first decentralized 3d ai

built on bittensor - the blockchain for next-gen ai