Overview
- Wabi secured a $20 million pre-seed round from prominent angel investors including Naval Ravikant, Garry Tan, Justin Kan, Amjad Masad, Akshay Kothari, DJ Seo, and Sarah Guo.
- The product is in private beta with social discovery features live, letting users like, comment on, remix, and browse profiles for shareable mini apps.
- Users can generate apps from natural-language prompts while selecting underlying models such as ChatGPT or Gemini for AI-generated content, with the option to edit Wabi’s prompts.
- Eugenia Kuyda says funding will build the product team and subsidize usage as the company experiments with monetization without relying on advertising.
- Early testing highlights quality and maintenance challenges tied to model limits and stale content, with plans for an algorithmic Explore page and personalized onboarding to improve curation and engagement.