A collective of 20 former Snap employees has launched Ghost Angels, a new venture fund. This fund has already backed at least five companies, establishing a potent new force in early-stage AI investment, according to Techcrunch. Max Rivera, former head of global partnerships at Snap, started the fund in 2025.
Snap itself faces intense competition in the social media landscape. Yet, its alumni are actively shaping the future of AI in social and consumer sectors through new venture capital. This tension reveals a collective belief in AI's transformative power for these markets.
The emergence of Ghost Angels will likely accelerate innovation and competition in the pre-seed to seed AI space, particularly for startups with a strong social or consumer focus, by providing specialized capital and mentorship.
Focusing on AI in Social and Consumer
Ghost Angels targets pre-seed to seed AI startups building in social media and consumer sectors, according to Techcrunch and Whalesbook. This strategic focus leverages the collective expertise of its syndicate. The fund aims to identify and nurture promising AI ventures in familiar territory, giving them a significant edge over generalist funds.
Early Traction and Alumni Success
Ghost Angels has already backed at least five companies, according to Techechelon. This rapid backing immediately positions them as a formidable, fast-moving player in early-stage AI, challenging the slower due diligence processes of traditional venture capital firms.
Separately, Whym, a conversational commerce startup founded by former Snap employees, announced $4.3 million in new seed funding, according to Techcrunch. This confirms entrepreneurial drive and investment acumen within the broader Snap alumni network.
The fund's aggressive deployment strategy, combined with the proven success of other Snap alumni startups like Whym, validates the network's ability to quickly identify and fund promising ventures. The stated 2025 launch date for Ghost Angels, alongside its active investments, suggests an unconventional operational model.
