Introduction

Social media has always been about connection but in Web3, connection comes with ownership. Friend.tech is the platform that took the crypto world by storm in 2023 and has continued to improve in 2025. Originally built as a SocialFi app where users could buy and trade access to influencers through tokenized “keys,” Friend.tech has steadily grown into something bigger: a Web3 super app that fuses creator monetization, DeFi, and community governance in one smooth interface.

What makes Friend.tech unique is how it flips the script, users are no longer the product; they’re the shareholders. And in 2025, that model is maturing fast.

Friend.tech’s New Features That Blur the Line Between Finance and Social Media

In the last six months, Friend.tech has rolled out a series of upgrades that are shaping its reputation as the “WeChat of Web3.” Here are some of the biggest shifts:

1.DeFi Integration: Users can now lend or stake their “social tokens,” earning yield based on community engagement.

2.NFT Content Access: Creators can token-gate premium content like podcasts, videos, and even live sessions.

3.On-Chain Reputation Scores: Similar to a credit score, but this one is for trust and value in decentralized communities.

4.Group Chat DAOs: Communities built around a creator or topic can vote, fund, or even build projects from within the app.

These features not only monetize social interactions, but also give users ownership and control which are the two core values to Web3 philosophy.

Conclusion

Friend.tech’s rise highlights a key shift in Web3: we’re moving from protocols to people. Projects are no longer just judged by tech specs, they're judged by how well they build and engage communities. SocialFi isn't about replacing Twitter or Instagram; it's about giving people economic and creative agency over their online identity.

As the Web3 ecosystem continues to mature, platforms like Friend.tech may become essential gateways especially for creators looking to own their revenue streams, build loyal audiences, and escape algorithmic dependence.