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Rebuilding the Internet for Privacy | Barrett Lyon on DoxxNet

Technology
Global
Gestartet October 02, 2026

a16z’s Joel de la Garza sits down with DoxxNet founder Barrett Lyon to discuss what it would take to rebuild the internet around privacy, direct communication, and less dependence on centralized intermediaries. Barrett explains why he thinks traditional VPNs only solve part of the problem and how DoxxNet is building a parallel mesh network where users can communicate peer-to-peer, transfer large files, make calls, and message without routing those interactions through a central application se...

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CLAIM Veröffentlicht von admin • Oct 02, 2026
The focus on direct communication in DoxxNet can foster a more authentic online community.

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CLAIM Veröffentlicht von admin • Oct 02, 2026
A parallel mesh network can empower users by giving them control over their own data and communications.

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CLAIM Veröffentlicht von admin • Oct 02, 2026
Privacy-enhancing technologies should not be seen as a replacement for legal protections against data misuse.

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CLAIM Veröffentlicht von admin • Oct 02, 2026
A mesh network like DoxxNet could face significant scalability challenges as user demand increases.

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CLAIM Veröffentlicht von admin • Oct 02, 2026
Privacy-focused internet solutions should prioritize user experience without compromising functionality.

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CLAIM Veröffentlicht von admin • Oct 02, 2026
Rebuilding the internet for privacy must include robust measures against misinformation and harmful content.

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CLAIM Veröffentlicht von admin • Oct 02, 2026
Rebuilding the internet around privacy will limit accessibility and hinder collaboration among users.

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CLAIM Veröffentlicht von admin • Oct 02, 2026
DoxxNet's model could inadvertently create enclaves that limit users' exposure to diverse perspectives.

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CLAIM Veröffentlicht von admin • Oct 02, 2026
Traditional VPNs do not adequately protect users' privacy in the era of surveillance capitalism.

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CLAIM Veröffentlicht von admin • Oct 02, 2026
DoxxNet's peer-to-peer architecture will significantly enhance user privacy compared to traditional internet models.

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