Blockchain Play-to-Earn Game for blackthorn.ai
Services Covered:

Information Technology
10 months
50K - 199K
1 September 2024
6-10 Employees
Nearshore
Project Capability Score (PCS)
Project Capability Score (PCS) estimates how capable Peiko is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS
Client
blackthorn.ai
Project Summary
Key Challenges
- Develop a blockchain-based play-to-earn game that engages users and sustains an in-game economy.
- Ensure seamless integration with crypto wallets and NFT marketplaces to enable true ownership of digital assets.
- Deliver a scalable and secure backend capable of supporting thousands of concurrent users across multiple regions.
Project Deliverables
- Web3 wallet integration (MetaMask)
- NFT minting engine
- Secure smart contracts for asset minting, reward distribution, and marketplace transactions
- React-based game interface connected to real-time player data and blockchain state
- Tokenomics and staking mechanics
Project Solution
Project Outcome
- The game successfully launched and gained strong early traction among users.
- Engagement with NFT trading, token rewards, and staking showed consistent growth.
- The platform operated smoothly with stable smart contract performance and high wallet connection reliability.
- User feedback was positive, confirming strong UX and product-market fit.
- All major deliverables were provided on time with responsive project management.
Platforms
Web
Web3
Blockchain
Tech Stack
React.js
Client Endorsement
Overall Review Rating
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“The game successfully launched and gained strong early traction among users. Peiko demonstrated strong project management throughout the engagement, following an agile approach with clear sprint planning, regular updates, and transparent communication. The team delivered high-quality work on time.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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