Inspiration
In today's business climate, reputations and revenues can be ruined overnight by bad reviews from consumers and businesses alike. Those same reviews are one of the many predictors of future revenues for businesses. When we look at the current state of review platforms or platforms that have reviews on them like Yelp, Angies, Amazon, Ebay and other platforms, these reviews often times are bias. Tactics like "Paying to Play" to hide bad reviews, astroturfing, review mills to boost ratings, or even misrepresented reviews by consumers are all symptoms of centralized review platforms. My goal is to even out the playing field for businesses and to bring transparency in the decision-making process for consumers today by leveraging on-chain off-chain blockchain data with Oracles and Smart Contracts.
What it does
Allows the subject of any particular topic to fund a ongoing unbiased filter of their reviews. A subject funds a keyword topic. With Oracle adaptors we match common review platforms (ie. Yelp, Angies, etc) and filter them through Oracle data. This review "drip" keeps going until funds are depleted.
How we built it
Remix to create the smart contract and Moralis
Challenges we ran into
Finding the correct oracle data to filter the given reviews.
Accomplishments that we're proud of
Launching our first oracle "keeper".
What we learned
There are many opportunities to be a part of the decentralized oracle by creating external adaptors
What's next for Protecting business revenue from bias consumer reviews
We would like to create an adaptor to pull in Yelp data.
Built With
- moralis
- polygon
- solidy
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