Top 5 DeFi Certification Predictions
With one of the most innovative debut services on the Avalanche Network approaching, it is time for my predictions for the most important and/or profitable potential Certifications within this new ecosystem. If you don’t know what I am talking about, it is ARKIUS.
Arkius certifications are discrete metrics representing the preferences of members. They act as an elective filtering mechanism for content before it is brought to the attention of members.
5. Code Verification
One simple metric is a verification that the deployed code matches the purported functionality and relevant repositories through blockchain/ledger explorers. This is a low level check that allows members to be able to verify versus simply trusting a front-end interface.
4. Authenticated Advisors
Often advisors and influencers are produced in materials about a product or service. This certification will provide an easy way to validate and certify for members if the advisor or influencer is involved in the ways stated.
3. MarketCap Related Metrics
As projects launch, it is very likely that the positioning of new products or services within the larger ecosystem will be an important metric. This is less about price of the token vs potential value of the token given competitor size and market potential of the product/service. Market capitalization alone does not provide sufficient information for decision-making. However, a ratio or comparison of the market cap against competitors or industry metrics can provide critical context.
2. Team Anonymity
Anonymous teams create fantastic work; however, known entities can also provide an indication of the potential success of the project. This can be used as the foundation for providing certifications on the individuals/teams which work on projects. Pseudo-anonymous teams with a track record would also provide interesting certification data.
1. Audit Status
It is highly likely that one of the most important metrics for mainstream adopters will be the audit status. This certification would take into account the binary aspect of if an audit occurred, what entity performed the audit, and the result of the audit.
