The full answer
Social products are judged on two things: whether the feed feels alive and whether the app stays fast as the community grows. We design the data model for relationships, content and activity so feeds, notifications and search scale, and we build real-time features such as messaging and presence on infrastructure designed for many simultaneous connections.
Typical builds include onboarding and profiles, follow or friend graphs, a ranked or chronological feed, media upload with processing and CDN delivery, comments, reactions and sharing, direct and group chat, groups, events and communities, creator tools and monetisation such as subscriptions or tips through certified payment providers, reporting and blocking, and a moderation console. Apps are built for iOS, Android and web.
Our Edverise platform is an AI-native discovery community for software companies and buyers, and our dining app combines restaurant discovery with social-style reviews and recommendations. Both show how we build discovery, content and engagement features that keep people coming back.
AI is applied to content moderation signals for human review, feed and recommendation ranking, spam and fake account detection, automatic captions and translations, and search. Niche and professional networks, such as communities for a profession, an interest or a city, usually launch with one core loop, posting and connecting, then add messaging, groups and monetisation from real usage. A free discovery call is the right place to start.