QSTN

QSTN is an AI-powered survey marketplace that allows businesses to fund surveys using NEAR tokens and NEAR NFTs, rewarding participants for their feedback and opinions.

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Inspiration:

QSTN was inspired by the need to empower individuals to take control of their data and earn from it. We recognize the challenges that users and businesses face in securely exchanging data, particularly in decentralized environments. By creating a Web3 survey marketplace, we aim to bridge the gap between businesses seeking insights and users looking to monetize their personal information in a transparent and rewarding way.

What it does:

QSTN enables businesses to create and fund surveys, allowing users to participate and get rewarded with NEAR tokens or NFTs. One of our standout features is KYC surveys powered by Fractal's identity management solution, which enables secure and verified participation for businesses that require verified identities. This adds a layer of trust and compliance, particularly for more sensitive surveys requiring identity verification.

How we built it:

QSTN integrates NEAR smart contracts for survey creation, funding, and reward distribution. By leveraging Fractal for KYC, we can offer businesses the ability to run verified surveys. We developed a leaderboard to track the most active users completing surveys on-chain. Our platform leverages AI to help businesses draft surveys, reducing the technical effort.

Challenges we ran into:

One major challenge is estimating the gas fees required for contract deployment to NEAR's mainnet, which is crucial for our scalability. We also encountered a bug with the wallet integration, requiring us to remove a provider, which delayed part of the development process.

Accomplishments that we're proud of:

We are proud to have created a self-service marketplace on NEAR where businesses and users can exchange data through surveys and be rewarded in NEAR tokens or NFTs. Additionally, we’ve developed a tool that incorporates AI to assist businesses in drafting effective surveys.

What we learned:

We learned a great deal about optimizing smart contracts for cost efficiency and user experience. The process also reinforced the importance of flexibility in platform design, allowing us to adapt quickly to challenges such as switching wallet providers. Additionally, we gained valuable insights into the NEAR ecosystem and how to best utilize its infrastructure for our goals.

What's next for QSTN:

Next, we plan to introduce AI-powered credibility scores to rate user responses, helping businesses get more accurate insights. We’re also exploring partnerships with NEAR-native projects to use QSTN as a quest platform, allowing these projects to engage their communities through surveys. Our goal is to continue differentiating by not only engaging and rewarding users but also helping businesses better understand their communities by running survey campaigns daily to grow our user base.

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