How To Stake Sui With Suiscan

<p><em>P2P.org recently launched a public pool on Aptos, and we are currently working towards accumulating a stake of 1 million to activate our node. If you’re interested in partnering with us, please feel free to reach out by contacting [email protected] or reaching us on Telegram at @P2P_staking.</em></p><p>Aptos is a Layer 1 blockchain heavily backed by an impressive group of VC funds, a16z, Tiger Global, Katie Haun, Multicoin Capital, Coinbase Ventures, Binance Labs and PayPal Ventures. With its own programming language called Move, strong partnerships, and a focus on technology, this blockchain holds great potential for real-world applications based on interest from various tech giants. On April 20th, delegated staking was launched, and P2P.org aims to provide you with all the information you need before starting your Aptos staking journey. Additionally, we conducted analytical research comparing the pace of staking adoption to a similar Layer 1 competitor.</p><p><strong>Currently, six node providers are available for staking</strong>, most of whom are well-known players in the crypto world. For example, Jump-Crypto has built a wormhole bridge connecting over 20 networks, and B-Ware labs led the development of delegated staking on Aptos. The network security is robust, backed by over 100 validators from around the globe using a different private staking mechanism. There is also a liquid staking opportunity called Tortuga Finance.</p><figure class="kg-card kg-image-card"><img src="https://p2p.org/economy/content/images/2023/05/2586.png" class="kg-image" alt loading="lazy" width="1680" height="734" srcset="https://p2p.org/economy/content/images/size/w600/2023/05/2586.png 600w, https://p2p.org/economy/content/images/size/w1000/2023/05/2586.png 1000w, https://p2p.org/economy/content/images/size/w1600/2023/05/2586.png 1600w, https://p2p.org/economy/content/images/2023/05/2586.png 1680w" sizes="(min-width: 720px) 720px"></figure><p>Node providers start generating rewards only after the total stake reaches over one million APT, approximately $9 million (as of 24.05.23). Currently, over ten inactive validators are still seeking enough stake to become active.</p><p><strong>The Annual Percentage Rate (APR) on Aptos is 7%</strong> and depends on a validator's uptime and commission. So far, all validators have been performing well, and there haven't been any significant downtime periods. There is no slashing, and the minimum commission is 7%, resulting in a final yield increase of approximately 6.5%.</p><p><strong>The validator unlock period varies from a few hours to 30 days</strong>, depending on when you unstake your APT. For example, if you stake 10 days into the cycle, you must wait 20 days to unlock your tokens. Once the unlock date has passed, you can withdraw your tokens.</p><p><strong>The minimum stake required is 11 APT</strong>, and there is also a staked fee. You may notice that the amount you have staked is less than the total stake you added. This is because you start earning rewards when the next epoch begins. However, this fee is then returned at the end of the current epoch.</p><p>Staking can be done directly from the main Aptos Explorer <a href="https://explorer.aptoslabs.com/validators/delegation?network=mainnet&ref=p2p.org">page</a>. All you need to do is connect one of the supported wallets (Petra, Pontem, Martian, Blocto, to name a few), choose a validator, and click the "stake" button. Our pool is called p2p-org.</p><p><strong>How quickly does the staking amount grow?</strong> Is the pace fast enough to instil confidence in token holders regarding Aptos as a long-term investment? How many institutions and whales are involved in staking? To answer these questions, let's compare Aptos to a similar Layer 1 blockchain, Near. For a fair comparison, let's return to October 2020, during the early stages of staking on Near.<br></p><figure class="kg-card kg-image-card"><img src="https://p2p.org/economy/content/images/2023/05/2583.png" class="kg-image" alt loading="lazy" width="1680" height="971" srcset="https://p2p.org/economy/content/images/size/w600/2023/05/2583.png 600w, https://p2p.org/economy/content/images/size/w1000/2023/05/2583.png 1000w, https://p2p.org/economy/content/images/size/w1600/2023/05/2583.png 1600w, https://p2p.org/economy/content/images/2023/05/2583.png 1680w" sizes="(min-width: 720px) 720px"></figure><p>As we can see, the lines are quite uniform, except for the significant spikes that occurred on Aptos on days 3 and 23. These spikes result from the requirement of reaching a threshold of 1 million APT for a public node to become active. On those days, several large public pools joined the validation set, particularly on day 23 when a pool with over 14 million APT entered. In Near, at that time, the total of 100 biggest validators was required, so the minimum stake needed was not predetermined, resulting in a smoother line.</p><p><strong>Now let's examine who delegates on Aptos.</strong></p><figure class="kg-card kg-image-card"><img src="https://p2p.org/economy/content/images/2023/05/2584.png" class="kg-image" alt loading="lazy" width="1680" height="971" srcset="https://p2p.org/economy/content/images/size/w600/2023/05/2584.png 600w, https://p2p.org/economy/content/images/size/w1000/2023/05/2584.png 1000w, https://p2p.org/economy/content/images/size/w1600/2023/05/2584.png 1600w, https://p2p.org/economy/content/images/2023/05/2584.png 1680w" sizes="(min-width: 720px) 720px"></figure><p>As we can see from the table, the majority of the stake is held by a few large institutions on both networks. However, this distinction is more significant on Aptos. You cannot start a pool and wait for small delegators to collectively generate 1M APT. They are more likely to stake with active pools to generate rewards. Therefore, you must find a large partner who can stake 1M APT at once.</p><figure class="kg-card kg-image-card"><img src="https://p2p.org/economy/content/images/2023/05/2585.png" class="kg-image" alt loading="lazy" width="1680" height="739" srcset="https://p2p.org/economy/content/images/size/w600/2023/05/2585.png 600w, https://p2p.org/economy/content/images/size/w1000/2023/05/2585.png 1000w, https://p2p.org/economy/content/images/size/w1600/2023/05/2585.png 1600w, https://p2p.org/economy/content/images/2023/05/2585.png 1680w" sizes="(min-width: 720px) 720px"></figure><p>The table shows that only 15 delegators own 98.7% of the total stake. Most of them staked their tokens before the pools became active. Their total Total Value Locked (TVL) in USD is nearly $290,000,000, accounting for 85% of all delegated stake. However, this comparison is uneven because, at this stage, the Aptos foundation hadn't yet bootstrapped the validators, and there are only 6 mainnet participants who essentially stake their own money through the mechanism. This distribution will normalise when over 100 private validators join public staking.</p><p>Aptos delegated staking represents a significant milestone in the network's roadmap, although it is still in the early stages of development, with only a few participants currently involved. Despite this, there is noticeable interest in staking within the community, with a sufficient number of small and medium-sized delegators. However, the majority of stakers are still large investors. In contrast to Near, Aptos has gained support from major VC funds and global tech giants. This offers the potential for significant collaboration projects (e.g. Google Cloud partnership). According to Aptos, this is expected to accelerate the adoption of web3 and lead to numerous real-world applications of crypto solutions.</p>

<p>Data analytics is an important part of any blockchain's lifecycle. It provides valuable insights into the network's behaviour, allows for informed decision-making, and helps improves performance.</p><p>It is not only important but necessary to implement a data-driven approach from an early stage, such as during the test-net phase. This approach can help identify and resolve issues, predict the emergence of new ones, facilitate the resolution of multiple challenges on the path to the mainnet, and ensure that the final product is robust and reliable.</p><p>Performing data analytics on Celestia can be challenging due to its modular architecture, which requires a unique approach to data storage and indexing. However, leveraging our expertise in working with indexers and cutting-edge technology, we propose developing a comprehensive set of open-source tools for data indexing and storage. This will enable efficient and reliable data management solutions within the Celestia blockchain.</p><h3 id="what-to-analyze-in-celestia">What to analyze in Celestia?</h3><p>To understand how the Celestia network grows and operates, we propose analyzing a set of metrics that depict different product aspects. As the network's future is expected to consist of a variety of rollups, it should be possible to drill down to the level of a particular rollup in addition to a high-level system overview. Metrics will form certain benchmarks and trends, enabling health checks and predictions.</p><p><strong>Measures of demand for Celestia's Data Availability Layer.</strong></p><p>The metrics below will help evaluate the scale and rate of adoption, and identify the main consumers and their costs. This is a major part of Celestia's tokenomics.</p><ul><li>Number of data requests (ever/per period/per sender/rollup)</li><li>Number of unique request senders/rollups (ever/per period) - this is the number of entities that use DA</li><li>Amount of data requested (ever/per period/average per sender/rollup)</li><li>Fees paid for data (per request/per sender/rollup)</li></ul><p><strong>Measures of Data Availability Layer operation quality.</strong></p><p>While it is valuable to see how Celestia is used, it is also important to track the robustness of the network. Therefore, the following metrics can be used to provide an idea of whether operational requirements are met, security (light nodes for sampling) is ensured, and requests are fulfilled in a timely manner.</p><ul><li>Percentage of fulfilled requests (ever, per period, and per rollup).</li><li>Percentage of data made available (ever, per period, and per rollup).</li><li>Average actual number of light nodes in DAS per rollup per request (ever, per period) and average minimum required light nodes in DAS per rollup per request (ever, per period).</li><li>Average time it takes to fulfill requests after transaction is sent.</li></ul><h3 id="how-to-analyze">How to analyze?</h3><p><a href="https://p2p.org/?ref=p2p.org">P2P.org</a> has already developed a solution that can easily extract raw data from any Cosmos chain - the <a href="https://p2p.org/?ref=p2p.org">P2P.org</a> Any-Cosmos-Chain Indexer. While Celestia may have specific data structure requirements, we are confident that we will not need to start development from scratch.</p><p>The Indexer source is open source and can be deployed and launched by anyone to access raw data. <a href="https://p2p.org/?ref=p2p.org">P2P.org</a> suggests running an indexer on their own infrastructure, which includes an Indexer instance, a database for storing data, and several nodes for running data extraction. This provides an end-to-end solution for community data analysis.</p><p>Data can be stored in any database, but <a href="https://p2p.org/?ref=p2p.org">P2P.org</a> offers to store it in a public DWH project. This is the best way to integrate a data-driven culture into your project, by having a public dataset with all the necessary data. An example of a CosmosHub public dataset, consisting of raw data from our indexer on CosmosHub, is available.</p><p>Currently, we use Google BigQuery to share this data with the community, but we plan to provide totally-free access to the data in the future. For now, you need a Google account with a free trial to query the data for free.</p><p>With the raw data, you can do anything, including data mining and providing analysis. Our main purpose is to extract knowledge from the data source. We take raw data and transform it into structured domain data which consists of metric definitions and metric history storage.</p><p>However, the main goal of any data analysis and research is transparency, clarity, and data visibility. The best way to achieve this is to build a public dashboard. <a href="https://p2p.org/?ref=p2p.org">P2P.org</a> supports Looker (Google BI system) and Superset as BI for public dashboards, but also works with custom front-end solutions. This is just the tip of the iceberg in <a href="https://p2p.org/?ref=p2p.org">P2P.org</a> data analysis process. Anyone who wants to understand and control the situation needs public dashboards to share insights and attract attention from the community.</p><p>We welcome any feedback and look forward to receiving the green light to begin.</p>