Friend-focused photo-sharing app Retro snags $21M

Retro, a friend‑focused photo‑sharing app created by former Instagram product engineers Nathan Sharp and Ryan Olson, has secured more than $21 million in Series A financing, according to an SEC filing for the startup’s parent company, Lone Palm Labs. The round, which closed in December and was disclosed in an August 19 filing, values the company at over $100 million, with investors that include Thrive Capital, Figma CEO Dylan Field, Scribble Ventures, Box Group, Imaginary Ventures, Coalition, Conviction, Copper, Positive Sum and a group of angels. Retro, launched in 2023 as a personal photo journal, now lets users privately share weekly photo updates, create shared albums, view recaps and “rewind” through past memories, positioning itself as a direct‑friend alternative to algorithm‑driven feeds.

The funding underscores a broader market appetite for social platforms that prioritize genuine connections over curated, creator‑centric content and advertising. Sharp told TechCrunch that despite the dominance of “For You” style feeds, users will continue to want more of their friends’ photos and videos, and those media need a place to reach the intended audience. Retro’s business model reflects this philosophy: it eschews ad revenue in favor of subscription tiers that unlock video, GIF and sticker comments, additional styling options, unlimited history and custom app icons, offering a sustainable monetization path rooted in user‑paid features rather than data exploitation.

With the capital infusion, Retro can expand its feature set and scale its user base while maintaining its ad‑free, subscription‑driven approach. The backing from prominent venture firms and industry figures signals confidence that a privacy‑first, friend‑centric photo platform can thrive amid the AI‑driven, content‑saturated social media landscape. As the app continues to develop, its success could influence how new social networks balance user experience, monetization and the growing demand for authentic, algorithm‑light interactions.

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