---
# System prepended metadata

title: OAuth3 Product & Vision Summary

---

## **OAuth3 Product & Vision Summary**

**Problem Statement:**
- Current social platforms (YouTube, TikTok) limit user agency and interoperability, and users lack ownership over their data.
- Permissions are overly broad—users typically grant full access without concern for privacy, creating vulnerabilities.
- Current advertising models and monetization methods are inefficient and opaque, with unclear value attribution.

**Our Solution:**
- Introduce **OAuth3**, an enhanced protocol leveraging **confidential computing** to offer verifiable, delegated account access, providing transparency and controlled data privacy.
- OAuth3 enables users to securely delegate specific permissions to programs (agents) in a verifiable manner, offering proof of exclusive account access.
- Users maintain control and visibility over permissions, allowing third-party apps to perform clearly defined actions securely.

**Key Differentiators:**
- **Verifiability:** OAuth3 provides cryptographic proof that access delegation is limited to intended use-cases, eliminating trust issues inherent in OAuth2.
- **Confidential Computing:** Utilizes Intel TDX/SGX for secure, performant data processing, creating trustworthy environments for user data without excessive overhead.
- **Scalability & Interoperability:** Designed to work across multiple social platforms (TikTok, YouTube), enabling automated workflows that leverage combined datasets securely and efficiently.

**Business Model & Market Opportunity:**
- Targeting initially viral and low-barrier use-cases (social platforms) to achieve rapid user adoption and create initial shock-factor or virality.
- Building on existing platforms (TikTok, YouTube) to avoid user switching costs, leveraging their user base for maximum reach.
- Establishing proof-of-concept scenarios where user data securely fuels new automated applications, eventually translating user engagement directly into monetizable outcomes.

**Monetization & Growth Strategy:**
- Initially monetize through compelling user experiences and microtransactions (e.g., personalized AI-driven content creation).
- Long-term, leverage aggregated user data pools to drive highly personalized, more effective advertising and recommendation systems, with users eventually receiving compensation directly.
- Expand from initial social and content applications to broader use-cases in fintech, personalized experiences, and automated agent-based interactions.

**Target Market:**
- Users on social platforms (initially TikTok and YouTube).
- Third-party developers creating next-generation AI-driven applications.
- Brands and advertisers seeking transparency, efficient attribution, and higher engagement via innovative automated ad experiences.

**Monetization & Revenue Strategy:**
- Early revenue through premium, niche user interactions (e.g., unique automated social experiences).
- Longer-term revenue through partnerships, integrations, data-driven insights, and highly personalized AI content and services.

**Roadmap Highlights:**
- Immediate: Launch MVP with social media integrations, demonstrating secure delegation and initial virality.
- Mid-term: Expand confidential computing capabilities, optimizing costs, and establishing partnerships (Google confidential compute, TDX).
- Long-term: Become standard infrastructure for verifiable, secure automation across digital ecosystems.

**Competitive Advantage:**
- First-mover advantage in confidential computing-integrated OAuth systems, positioning as a privacy-forward, legally compliant alternative to current opaque data-sharing models.
- Strong relationships with big tech (Google), providing leverage for industry positioning and scale.

**Strategic Goals:**
- Rapidly grow user base to critical mass.
- Achieve defensible technological and marketing advantages.
- Set industry standards for secure, transparent, and user-beneficial delegation of data and permissions.

## Questions 

1. What is your use case that requires confidential computing? 2. What could not be delivered without confidential computing?
3. What kind of trust do you think you're getting [from confidential computing]?
4. How does this differ from OAuth2? What is the delta there?
5. Why does confidential compute unlock trust, and why is it good enough for the block building case?
6. Where is the extra thing here that I'm missing? (regarding the value proposition beyond what current solutions offer)
7. Where is the order flow on the TikTok environment?
8. How would you explain confidential computing to someone unfamiliar with it?
9. Why would users care about this if they're already willing to give full access to their accounts?
10. For the user, the highest value is that you're returning more money to them than your competitor... why would they care about confidential computing?
11. If you're successful at intercepting order flow at the edge, why can you do this and others can't?
12. How does this connect to blockchain? (regarding the gateway architecture)
13. What real problem are you solving for the average person that they actually care about?