Secure, production-ready smart contracts built for scale and compliance.
We deliver audited, gas-optimized contracts that form the foundation of your protocol. Our development process ensures security and reliability from day one.
Solidity/Rust architecture to mainnet deployment and upgrade management.OpenZeppelin standards, followed by third-party audits (e.g., CertiK, Quantstamp).Reduce your time-to-market from months to weeks with our battle-tested development frameworks.
We focus on measurable outcomes: 99.9% uptime SLAs, sub-5ms finality for critical functions, and gas cost reductions up to 40% through optimization. Our contracts are built to handle enterprise-scale transaction volumes.
We build the foundational privacy and intelligence layer for your social graph. Our engine delivers personalized recommendations without exposing user data, enabling compliant, trust-based user growth.
Our privacy-preserving recommendation engine delivers concrete business value, moving beyond features to drive user growth, engagement, and revenue.
Drive 30-50% higher user retention and daily active users with personalized, relevant content feeds powered by on-chain data analysis, without compromising user privacy.
Leverage privacy-first viral loops and referral mechanics to reduce customer acquisition cost (CAC) by up to 40% through trusted, permissioned social graphs.
Build user trust with zero-knowledge proofs and decentralized identity (DID) integration. Ensure GDPR/CCPA readiness and eliminate centralized data liability.
Unlock new revenue streams with targeted, privacy-compliant advertising, premium subscription models, and creator economy incentives powered by accurate user affinity models.
Deploy a production-ready, audited recommendation engine in 4-6 weeks using our modular SDKs and pre-built connectors for Lens Protocol, Farcaster, and other social graphs.
Handle millions of daily active users with sub-second recommendation latency. Our engine runs on cost-efficient, auto-scaling node infrastructure with 99.9% uptime SLA.
A modular approach to building and deploying your privacy-preserving social graph. Start with core protocol logic and scale to a fully managed, high-throughput recommendation engine.
| Feature | Protocol Core | Full Engine | Managed Platform |
|---|---|---|---|
Zero-Knowledge Proof Integration (Semaphore/Circom) | |||
On-Chain Social Graph & Reputation Contracts | |||
Off-Chain Indexer & API Layer | |||
Recommendation Algorithm (Jaccard/TF-IDF) | |||
Multi-Chain Deployment (Base, Arbitrum, Scroll) | |||
Sybil-Resistant Attestation System | |||
Fully Managed Infrastructure & 24/7 SRE Support | |||
Custom Algorithm Tuning & A/B Testing Dashboard | |||
Time to Launch | 6-8 weeks | 12-16 weeks | 4-6 weeks (migration) |
Typical Engagement | $50K - $80K | $120K - $200K | Custom (SaaS + SLA) |
We deliver production-ready, privacy-first social graphs through a structured, collaborative process designed for technical founders and CTOs. Our focus is on secure, scalable integration with measurable outcomes.
A detailed comparison of the time, cost, and technical trade-offs between developing a privacy-preserving social recommendation engine in-house versus using Chainscore's specialized service.
| Factor | Build In-House | Generic Social APIs | Chainscore Engine |
|---|---|---|---|
Time to Production | 6-12 months | 2-4 weeks | 4-8 weeks |
Core Privacy Tech | Zero-Knowledge Proofs, MPC | None (public data) | ZK-Proofs & Differential Privacy |
Algorithm Customization | Full control | None (fixed models) | White-label, fully customizable |
On-Chain Data Integration | Your team builds | Not supported | Native support for 15+ chains |
Security & Audit Burden | High (your responsibility) | Low (provider's risk) | Pre-audited, battle-tested modules |
Ongoing R&D & Updates | Your team's cost | Provider's roadmap | Included in service |
Total Year 1 Cost | $250K-$600K+ | $10K-$50K / year | $75K-$200K (one-time + optional SLA) |
Performance SLA Guarantee | None (self-managed) | 99.5% uptime | 99.9% uptime, <2s latency |
Team Requirement | 3-5 senior blockchain/data scientists | 1 integrator | Your product team + our specialists |
Get clear answers on timelines, costs, security, and technical implementation for your custom recommendation engine.
A production-ready MVP typically deploys in 6-8 weeks. This includes 2 weeks for design and architecture, 3-4 weeks for core development and integration of privacy layers (e.g., zk-SNARKs, FHE), and 1-2 weeks for testing and deployment. Complex integrations with existing social graphs or custom incentive models may extend this to 10-12 weeks.
Our experts will offer a free quote and a 30min call to discuss your project.