Avblo -decentralized platform of relations based on the protocol of trustGoal :
Create a protocol for assessing the reputation of network users. Based on this protocol, the creation of a platform for the creation of Dapp, both by its own developments and by third-party start-ups
Major projects and niches for the application of the protocol:
Automotive, taxis, such as Lyft Uber Geett and their analogies
Accommodation (AirBnb, RoomArama, HomeAway)
Rent of premises, places (Liqued Space, Just Park)
Rent a vehicle (GetAroun, Type GetMyBoat)
Food (EatWith, BonAppeture)
Education (Udemy, Verbling)
Child Care (UrbanSitter Care.com)
Animal Care (DogVacay)
Health Beauty (Zeel, Sooth)
Work, simple tasks (TaskRabbit Goshare)
Examination (TalkSpace Noomii)
Trade Clothing, accessories (Etsy, PoshMark)
Finance Investing Lending (Lending Club, WeFounder)
technological services (Design Crowd, Fon)
Rental of household goods (NeighborGoods Zilok)
delivery logistics (Postmates Instacart)
Travel Tours (Vayable and Eatwith)
Miscellaneous (Wrapify Toolocker)
Dating site (Badoo, Tinder)
Job Search (HR)
Usage model:
The protocol collects information on the Internet and writes it to the block.
This information belongs to the user, it can not be faked or changed.
Creation of services where the main factor for any kind of relationship will be a reputational assessment between users.
The higher the user's trust rating, the higher the bonuses and privileges for the user opens. The higher the rating, the less risks are borne by the company or the user with whom the user with a high rating enters the relationship.
Improved loan offers, higher discounts and cashback for purchases, unsecured payments, free training, better working conditions and salaries, higher social status.
What shows and monitors the rating of Avblo
Relationship between users
Quality of performance of services
Hospitality
Reliability, fulfillment of obligations
Level of knowledge and expertise
Popularity, media
Reviews on the venues
Financial, credit status
Place of residence
Number of close contacts
Collecting common user ratings (AirBnb, Stack Overflow, etc)
The rating is formed by assessing the influence of the user in the context of his action.
Within a week I will lay out the primary algorithm for assessing Reputation
Now I'm in search of like-minded people and in the formation of the team, if this idea is close to you write
me in FB
https://www.facebook.com/kachkirillTelegrams
+79286016701
Now we need a designer, a front-end developer.
Here I will write about the progress of the project.
