TrustyFi, a well-known Web3Â platform that rewards consumers for their authentic reviews, has excitedly announced about constructing a verified review layer for Web3 social forums. In the verified review layer, reviews are purely based on authentic, transparent, and rewarded on-chain, from real users. TrustyFi has taken this developmental news to its official social media X account.
Fundamentally, the purpose of this development is to certify the users about the authenticity and trustworthiness of the platform through the recommendations from the world’s users. TustyFi believes in such reviews and recommendations that are given by fully independent users, which means they are not forced by any platform for promotion purposes.
TrustyFi Rewards Authentic Reviews for Quality Web3 Feedback
TrustyFi promises to its users to write authentic responses that will reflect the real essence of the app, and strongly forbids certain things that were mentioned by users in many app reviews, without their presence in that app. For this purpose, reviews are actively monitored by a competent group of observers to avoid the expansion of any false information.
Furthermore, the platform makes an interesting announcement for reviewers that the authentic reviewer will be rewarded for their realistic review. No doubt that a certain reviewer is not misguiding the reader of that review. The platform demands only one thing, and that is authentic feedback, and in return, it rewards the reviewer.
Building Verified Trust for DeFi and Web3 Growth
TrustyFi wants insightful reviews that will play a development role in boosting the growth of the projects. So, the future of decentralized finance (DeFi) and Web3 is not just making noise; rather, it’s about building a strong and long-lasting trust over time with verification.
In this modern world, everyone is making an effort to make their project demanding in the market; for that purpose, they mostly circulate false information in the market to grow. So, TrustyFi is doing this to avoid expanding such a misconception among users.
