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Ghost Angels: Snap Alumni Launch Fund To Accelerate Social Media Innovation

A cohort of 20 former Snap executives and innovators has united to introduce Ghost Angels, a new investment fund targeting the future of social media. The fund, which has already supported five companies and plans to invest in at least 15 more over the coming year, remains discreet about its total capital raised.

Strategic Formation And Diverse Expertise

Founded in 2025 by former Snap global partnerships executive and current Microsoft AI executive Max Rivera, Ghost Angels brings together approximately 20 former Snap leaders, operators and founders. Among the founding members are Alexandra Levitt, who previously led Snap’s corporate accelerator, and former Snap product and design leader Will Wu. The fund aims to leverage the operational and product expertise of its members to support early-stage founders building consumer technology companies.

Redefining Social Media Dynamics

Rivera argues that social media is entering a new phase, with platforms increasingly separating content distribution from community building. Rather than relying solely on advertising-driven business models, many emerging startups are experimenting with subscriptions, usage-based pricing, tokenized economies and other alternative monetization strategies. According to Rivera, smaller teams are also able to launch and iterate products more quickly, creating opportunities for new entrants to challenge established platforms.

Embracing AI-Driven Innovation

Ghost Angels is primarily targeting pre-seed and seed-stage AI startups focused on consumer and social applications. The fund believes artificial intelligence can reshape how users discover content, interact with communities and create digital experiences. Support from former Snap executives is particularly valuable for founders navigating challenges around engagement, product design and platform growth, Rivera said.

Future-Forward Strategies

Alongside investments in AI-powered social products, Ghost Angels is backing companies developing AI-native content formats and creative tools across industries, including music, gaming, sports and fashion. The fund sees generative AI as a way to lower barriers to content creation and distribution while enabling new forms of digital engagement. Its investment strategy reflects broader shifts across the technology sector, where entrepreneurs are increasingly building specialized communities and niche platforms rather than competing directly with large social networks.

A New Twitter-Inspired Social Network Is Taking Shape

A new social network called Twitter.now is entering the market, with a founding team that includes former Twitter trademark counsel Stephen Coates. The service is being developed by startup Operation Bluebird.

As Ars Technica reported, X sued the company last year and asked a Delaware judge to block the launch. Operation Bluebird argued in a petition that X had abandoned trademarks including “Twitter” and “Tweet.”

Coates has said the project is not an attempt to recreate the original Twitter. In a LinkedIn post, he described the platform as a new public space focused on trust, transparency and user choice.

AI System To Rate Posts

Twitter.now is currently being tested, with early access priced at $20. Its main feature is VERA, an AI system designed to evaluate posts, verify claims and provide sources and context.

Posts receive a trust score, with users eventually able to set a minimum score to filter their feeds. The company says this approach will give people more control over what they see instead of leaving those decisions entirely to an algorithm.

Moderation Remains A Challenge

Scaling moderation will be one of the platform’s biggest tests. Social networks have repeatedly struggled with content moderation as their communities grow, and newer platforms such as Bluesky have faced similar criticism.

Operation Bluebird says VERA will form the basis of its moderation and verification system. A second version is already planned, with expanded tools that would let users set a specific trust threshold for the posts appearing in their feeds.

For now, Twitter.now remains in an early testing phase, combining the familiarity of the Twitter name with an AI-driven approach to evaluating online information.

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