Aptos (APT) is a scalable Layer 1 blockchain using Move language, offering fast transactions, modular upgrades, and a growing ecosystem of Web3 projects.

Aptos has emerged as a standout in the blockchain space, raising 

 from such venture capitalists as Andreessen Horowitz (a16z), Coinbase Ventures, Apollo, Circle Ventures and Franklin Templeton to build its dream project promising a flexible and upgradeable blockchain structure. It lived up to its promises, with a successful mainnet launch on Oct 12, 2022. 

Two years later, Aptos has surpassed $1 billion in 

 (TVL), an impressive feat showcasing its ability to achieve real-world adoption as it attracts millions of users worldwide.

, giving users improved scalability, reliability, security and usability.

The Aptos genesis occurred on October 12, 2022, with Aptos blockchain's mainnet "Aptos Autumn" launched on October 17, 2022. Aptos is a Layer 1 blockchain built with a Rust-based programming language called Move. Its key features include a parallel execution engine, high-level security features and low transaction costs.

The Aptos blockchain is generating all this hype because of its intriguing past. The blockchain is based on the Diem blockchain initiative (from Meta) that was recently abandoned. Created by Diem developers, the Aptos crypto uses the programming language originally created for Diem. Its focus is on Diem's original goal of creating a scalable, fast blockchain. 

Aptos’s flexible architecture means it can be constantly upgraded to support emerging new use cases as the 

 world becomes increasingly sophisticated. Currently, Aptos is capable of supporting 

 (AI) on its blockchain. Its myriad use cases have drawn over 8 million users worldwide.

The Aptos network was created by Aptos Labs, while the Aptos Foundation focuses on nurturing the ecosystem through grants, education initiatives, events and partnerships.

Aptos Labs is the team behind the Aptos project. They currently lead a diverse team of developers, engineers and strategists headed by co-founders Mo Shaikh and Avery Ching.

Shaikh and Ching met when they worked together on the Diem blockchain project at Meta. Shaikh specializes in scaling products, and has experience in the private equity and venture capital markets. Meanwhile, Ching was one of the principal software engineers at Meta and has led many exciting and innovative development projects in the past. When Meta chose to discontinue the Diem project, Shaikh and Ching decided to join together to create Aptos Labs.

. Besides the Aptos blockchain, Aptos Labs has a range of products that cater to bridging the gap between Web 2.0 and web3. These include 

, a user-friendly web3 wallet that offers seamless access to 

, a name service that allows users to convert their lengthy and complex 

, a dedicated Aptos AI chatbot developed with OpenAI technology.

, whereby token holders stake tokens to their selected validators to help maintain the network. Aptos can theoretically reach 160,000 

 (TPS) while maintaining security and reliability. The following revolutionary concepts are at work behind Aptos's impressive performance.

 creates an engine that efficiently handles 

. The Aptos blockchain engine relies on parallel execution to handle multiple transactions at once. This makes things a lot quicker because a single failed transaction won't halt the whole chain. Instead, transactions can be processed concurrently, and all of them are validated post-execution. To further improve efficiency, a collaborative scheduler works to prioritize certain transactions on the Aptos blockchain and handle essential validations efficiently. Ultimately, up to 160,000 transactions per second (TPS) may be processed simultaneously.

One of the things that makes Aptos’s network so appealing is 

 for swift, secure transactions that was first designed for the Diem blockchain. Move is a type of executable bytecode language that’s used to 

implement smart contracts and custom transactions

. It uses Move modules, which are grouped in upgradeable packages, to define the state of transactions. 

It’s flexible enough to handle the unique needs of Aptos developers, and its global storage is more secure than the average programming language. Move lets users define custom resources that can’t be copied or discarded, making it much more difficult for malicious entities to control the Aptos blockchain. 

Aptos has also made multiple improvements to the Move ecosystem to further enhance its security, such as the 

, a formal verifier for Move smart contracts which boosts protection for contract invariants.

Aptos employs a modular data model, in which a ledger state records the interaction of transactions and accounts. Accounts are representations of users’ control over their assets, from on-chain currency to NFTs, and must be created before they can execute transactions. Transactions submitted by any user modify the ledger state and trigger events coded via Move modules. These events, uniquely identified by keys, are then stored as data within the ledger. This design also ensures flexibility and user privacy, as it supports flexible key management and hybrid custodial options, and allows users to create multiple pseudonymous accounts via cryptographic key pairs.

Byzantine Fault Tolerance (BFT) Consensus Protocol

Instead of using a consensus protocol that has to follow the order of transactions, Aptos decouples the two processes and lets them run parallel to each other. This reduces latency (the time it takes to confirm network transactions) while increasing speed. To ensure accuracy, Aptos has created a Byzantine fault tolerance (BFT) engine that analyzes individual states on-chain and then automatically updates validators as needed.

The Aptos ecosystem is robust, with over 190 projects in the realms of DeFi, GameFi, NFTs, social media, education, AI, infrastructure and more.

. Once an APT holder stakes their APT tokens to a validator node, they’re eligible to vote for various protocol changes, such as blockchain upgrades and changes to blockchain parameters. There was 

 of 1 billion APT tokens, distributed as follows:

 isn’t merely used for governance, as APT token holders can also stake their tokens to a validator to help secure the network while earning rewards, which can be received at 

There’s a minimum stake of 1 million APT and a maximum of 50 million APT, with the staked tokens automatically locked for a fixed duration. The maximum annual reward rate, evaluated at every epoch, began at 7% in 2022, with an annual decline rate of 1.5% (until it eventually reaches 3.25%, which Aptos estimates will take over 50 years). 

To further facilitate decentralization, Aptos also started offering delegated staking for users from April 2023. Delegated staking features a low minimum staking requirement whereby users with as little as 11 APT can collectively stake in a trusted validator node. This move encourages more active participation, allowing more users to stake and earn rewards while helping to sustain a stable and efficient network. 

Staking rewards raise the total supply, making APT an 

 token. However, the rewards mechanism may be modified via on-chain governance.

Aptos is available on Bybit’s Spot market as a swap pair with USDT (

As of Nov 19, 2024, APT’S price is $11.68, which is 41.4% lower than its ATH of $19.92 on Jan 26, 2023 and 279.2% higher than its ATL of $3.08 on Dec 29, 2022. 

Price prediction experts generally have a positive outlook on the APT token. Changelly, while 

 a slight dip to $9.85 in 2025, anticipates APT will exceed $100 by 2030 and hit an astonishing average of $4,727 in 2040. CoinCodex is more conservative in its predictions, 

 APT will trade at an average rate of $31.22 in 2025 and $37.05 in 2030. 

There are several factors working together to make Aptos crypto seem like a great opportunity. First of all, the venture is a continuation of a Meta-founded project that was already getting positive results before it was canceled. Furthermore, the developers working on it are experienced, highly-trained people who've worked on exciting projects in the past.

Aptos’s innovative technology has captured the interest of many venture capitalists, making it one of the top-funded blockchain projects at a total of $350 million (split into two rounds). 

Aptos accepted its first big set of investments in March 2022. Several large venture capital groups, including a16z Crypto, Multicoin Capital, Hashed, Tiger Global, Three Arrows Capital, FTX Ventures and Coinbase Ventures contributed a total of $200 million. Aptos then went on to receive another $150 million in June from FTX Ventures and Jump Crypto. Previous investors, such as a16z crypto and Multicoin Capital, have contributed to multiple rounds of funding.

Thanks to its unique architecture, which separates consensus from execution, and its use of Move as a programming language for added security, Aptos certainly stands out from the crowd of Layer 1 projects. 

In a mere two years, Aptos has achieved a TVL of over $1 billion and attracted over 190 projects, including top DeFi platforms like PancakeSwap, Ondo Finance (the biggest stablecoin by market cap) and USDT.

Aptos has also secured partnerships with industry giants and global asset management leaders, such as BlackRock and Franklin Templeton, and entertainment titan NBCUniversal, further contributing to its credibility as one of the top Layer 1 blockchains.

All of these factors point to a bright future ahead for Aptos. Nevertheless, the crypto market is inherently volatile. As with any other cryptocurrency, before buying APT, please make sure you do 

Aptos, often dubbed the “Solana killer,” possesses plenty of features that help it stand out among other Layer 1 chains — including a highly active community, strong partnerships, and access to unique engines and programming languages. 

One of the Aptos blockchain's main competitors is 

, which is currently the hottest high-performance Layer 1 available. 

Theoretically, Solana can support up to 65,000 TPS, while Aptos is capable of supporting 160,000. While the actual performance of both blockchains falls far below their theoretical speeds, they’re still considered high-speed blockchains, with Solana 

. Apart from their fast speeds, both Aptos and Solana also appeal to many users due to their meager transaction costs, which average around $0.0001 per transaction. 

, having had notable outages and downgrades. Meanwhile, the Aptos blockchain adds redundancy to its network, rendering it less prone to failure. Each block in Aptos is synced with leader nodes and nearby nodes. In case the leader node fails, one of the other nodes can take over. This results in slightly more computational requirements, so Aptos' hardware needs are a little larger than Solana's. Ultimately, Aptos offers more reliability than Solana in exchange for slightly higher hardware requirements.

 use Move programming language, though Sui’s version is modified into an object-centric model, unlike Aptos’s account-centric model. 

Additionally, Aptos records its ledger on a blockchain, whereas Sui stores and organizes its data in a 

Both Aptos and Sui are built to be scalable, with Aptos presenting a high throughput of 160,000 TPS in its testnet days and Sui’s test throughput achieving 120,000. When both networks are launched on the mainnet, however, their maximum throughputs over the past 30 days have fallen to 

While the two networks’ scalability allows for varied use cases, Sui’s focus is on NFT games, with a recent expansion into DeFi. In contrast, Aptos is built to be more general purpose, encompassing a diverse range of applications from DeFi, GameFi and NFTs to social media, entertainment and even AI.

The Aptos blockchain has already managed to outperform 

 in terms of speed. While Ethereum's time to finality is over a minute, Aptos can finalize transactions in less than a second, due to both hardware and design differences. Ethereum only has one CPU core, while Aptos operates on 16.

However, Ethereum’s reliability is undeniably superior. While Aptos doesn't have many problems with outages, it can't compare to Ethereum's stability: Its performance is almost impossible to disrupt. As long as users are fine with paying more fees and waiting longer times, Ethereum still remains the more popular choice.

The Aptos project promises to increase blockchain scalability and reliability. 

Indeed, thanks to its innovative technology, Aptos has proven its credibility in just two short years, drawing over 190 projects to join its ecosystem and enabling it to scale rapidly and evolve to match market demand. 

While it remains to be seen whether Aptos will really be a “Solana killer,” its network is rapidly catching up to Solana’s popularity, as evidenced by its growing ecosystem and partnerships with industry leaders. 

The addition of the world’s largest stablecoin, USDT, to the Aptos blockchain further cements its position as the top blockchain of choice for users and developers seeking a scalable, secure and user-friendly platform. 

With its focus on modularity and upgradeability, Aptos continues to attract significant attention from the web3 community, revealing itself to be a formidable player in the race for blockchain dominance.

Intermediate

aptos.png

What Is Aptos (APT): A Scalable Modular Layer 1 for Seamless Upgrades

Ethena Foundation has approved the activation of its fee switch, enabling revenue sharing with ENA token holders by the end of the month.

Daily Top Performer — Hedera Hashgraph (HBAR)

The S&P 500 rose 0.39%, rebounding from recent declines, driven by optimism about potential future rate cuts and expectations of a business-friendly administration. Coindesk Indices, an index measuring broader cryptocurrency market performance was up by 0.73%, with Bitcoin and Ethereum rising by 2.16% and 2.81%, respectively in the past 24 hours.

Today's top performer is HBAR, which surged 44.6% following the expansion of Hedera's governance and its advancements in AI data transparency.

Hedera Hashgraph (HBAR), launched on September 2019, is a cryptocurrency network that supports fast transactions and application deployment, overseen by a select group of business-approved nodes. This design ensures quick finality and reliability, attracting major corporations like LG, IBM, and Boeing as participants. Hedera's Governing Council has 

 to 32 members as the platform introduces new features and diverse use cases, such as using immutable records to enhance trust in AI data. The focus remains on transparency, security, and innovation for a promising future.

Check Out the Latest Prices, Charts, and Data of 

, enabling revenue sharing with ENA token holders by the end of the month. This move follows a governance vote and has already led to a significant increase in the ENA token's value. Ethena, which has achieved record-high revenues recently, generates income through various yield strategies. As one of the largest DeFi protocols by TVL, Ethena's fee switch could set a significant precedent for revenue sharing in the DeFi space.

Yesterday, BTC Spot ETF flows reached $165.5M, consisting of $5.8M from GBTC and $159.7M from non-GBTC sources.

 to drive onchain growth and reward users for trading NFTs and tokens across chains. With a total supply of 1 billion, over half will be allocated to the community through rewards, staking, and ecosystem development, with an initial 12.5% claim available at the Token Generation Event (TGE). The $ME token will power governance, staking, and user incentives across Bitcoin, Solana, and EVM ecosystems, supporting Magic Eden's goal of creating a universal onchain trading platform. The ME Foundation, a non-profit, will oversee the $ME ecosystem, ensuring security and alignment with community interests while cautioning users to beware of scams ahead of TGE.

Beginner

4.png

Ethena Foundation Approves Fee Switch for Revenue Sharing with ENA Holders

In this tutorial, we’ll explore how you can complete a series of tasks in Derive for Bybit Web3 Airdrop Arcade.

In this tutorial, we’ll explore how you can complete Derive tasks for Bybit Web3 Airdrop Arcade. 

Task: Trade More Than $10 USD on Perps/Options, or Deposit More Than $10 Into Vaults

 and connect your Bybit Wallet by clicking on the 

button at the top right corner of the page. 

you want to deposit. Then, indicate the amount. Derive allows you to use stablecoins, such as USDC and USDT, or tokens, such as ETH, wstETH and WBTC, as collateral. Please note that deposits take between five to 10 minutes to complete.

to transfer your tokens into a trading account. This will allow you to trade with margin. 

: Trade at least $10 worth of perpetuals or options. 

 page and connect your Bybit Wallet by clicking on the 

button at the top right corner of the page.

: Select a vault based on your preferred collateral, market outlook and risk tolerance. Vaults automatically execute yield-generating options strategies on your deposited tokens.

. Please note that deposits take between 10 to 20 minutes to complete.

derive tutorial.png

How to Complete Derive Tasks for Bybit Web3 Airdrop Arcade

In this tutorial, we’ll explore how you can complete a series of tasks in KiloEx for Bybit Web3 Airdrop Arcade.

In this tutorial, we’ll explore how you can complete KiloEx tasks for Bybit Web3 Airdrop Arcade. 

Task 1: Deposit at Least 10 USDT in the KiloEx Vault via opBNB

 in the navigation bar to enter the KiloEx Vault. 

: Enter at least 10 USDT as the amount you would like to deposit, and click on 

: Approve the transaction and confirm it. 

: Check your deposit status. Please note that as you’re not able to withdraw immediately, you’ll need to wait for 1–3 epochs.

: Once the above steps have been completed, you can click on the 

button to withdraw your deposited amount.

Task 2: Place a Position With at Least 10 USDT

: If your BNB or USDT is insufficient, you can follow the bridge tutorial 

: After bridging funds, choose your desired trading pair and place an order to 

: The minimum position value for this task is $10. To minimize your risk of 

, we suggest opening a position with 2x leverage and maintaining a margin of $5. In this example, we’ve used a minimum of 2x leverage to open a position and select 

: Confirm your order and your position will be created. 

kiloex tutorial.png

How to Complete KiloEx Tasks for Bybit Web3 Airdrop Arcade

Web3 Experts

Unlock the evolving market landscape of AI and Crypto with insights from our guest author as they dissect market cycles, categorize projects, and highlight emerging trends in assetization.

2401-T16454_Skinny_Banner_for_Blog_and_Learn_Row_53_728x90.png

Skinny_Banner-1600x400.webp

More than a year since the release of ChatGPT, discussions about AI+Crypto have once again heated up in the market. AI is seen as one of the most important tracks in the bull market of 2024–2025, and Vitalik Buterin himself published an article entitled 

, exploring possible directions for future AI+Crypto exploration.

This article won’t make too many subjective judgments, but will instead simply summarize the entrepreneurial projects combining AI and crypto observed over the past year from a primary market perspective. It will examine the perspectives from which entrepreneurs have entered the market, the achievements made so far, and which areas are still being explored.

Throughout 2023, we’ve talked to dozens of AI+Crypto projects, among which distinct cycles can be observed.

Before the release of ChatGPT at the end of 2022, there were few 

 projects related to AI in the secondary market. The main ones that come to mind are 

 (AGIX) and a few other veteran projects. Similarly, there weren’t many AI-related projects available in the primary market.

From January to May of 2023 could be considered as the first concentrated outbreak period for AI projects. After all, ChatGPT’s impact was significant. Many old projects in the secondary market pivoted to the AI track, and almost every week in the primary market AI+Crypto projects were being discussed. Similarly, during this period, AI projects seemed relatively simple. Many of them were based on a “skin-deep” adaptation of ChatGPT, combined with blockchain modifications, with almost no core technological barriers. Our in-house development team could often replicate a project framework in just a day or two. This also led to numerous meetings with AI projects during this period, but ultimately, no action was taken.

From May through October, the secondary market began to turn bearish. Interestingly, during this time, the number of AI projects in the primary market also decreased significantly. It wasn’t until the last month or two that the quantity started to pick up again, and discussions and articles about AI+Crypto became richer. We once again entered a period where we could encounter AI projects every week. Half a year later, it was evident that a new batch of AI projects had emerged with a better understanding of the AI track, the landing of commercial scenarios and an improved integration of AI+Crypto as compared to the first wave of AI hype. 

Although the technological barriers still weren’t strong, the overall maturity level took a step forward. It was only in 2024 that we finally made our first bet on the AI+Crypto track.

Vitalik Buterin, in his article on “promise and challenges,” provides predictions from several relatively abstract dimensions and perspectives, as follows:

We, on the other hand, will summarize the AI projects currently seen in the primary market from a more specific and direct perspective.

Most AI+Crypto projects are centered on the core of crypto, which we’re defining as “technological (or political) decentralization + commercial assetization.”

Regarding decentralization, there isn’t much to say, as it’s all about 

. Therefore, we can roughly divide the categories of assetization into three main tracks:

This is a relatively dense track, as besides various new projects there are also many old projects pivoting. For example, on the 

 side, there’s Akash Network, and on the 

. After pivoting, the tokens have all experienced crazy surges, which also indirectly reflects the market’s optimism toward the AI track. Although 

 (RNDR) primarily focuses on decentralized rendering, it can also serve AI purposes. 

Therefore, many classifications include RNDR-like computing power-related projects in the AI track.

Computing power assetization can be further subdivided into two directions, based on the use of computing power. One is represented by Gensyn, which is “decentralized computing power used for AI training.” The other is represented by most pivots and new projects, or “decentralized computing power used for AI inference” (the ability of machine learning models to base decisions or predictions on previously learned data or models).

In this track, we can observe an interesting phenomenon, or perhaps a chain of disdain:

Traditional AI → Decentralized Inference → Decentralized Training

The main reason lies in the technical aspect — because AI training (especially for large model AI) involves massive amounts of data. What’s even more exaggerated than the data requirement is the bandwidth demand formed by the high-speed communication of this data. In the current environment of transformer large models, training requires a computational matrix composed of a large number of high-end graphics cards like the 4090 series/H100 professional AI cards with communication channels of the hundred-gigabit level formed by NVLink and professional fiber switches. Can you imagine decentralizing this stuff? Hmm …

The demand for computing power and communication bandwidth in AI inference is far less than in AI training. Naturally, the possibility of decentralized implementation is much greater for inference than for training. That’s why most computing power-related projects focus on inference, while training is primarily left to major players like Gensyn and Together AI, which have raised hundreds of millions in financing. However, from the perspectives of cost-effectiveness and reliability, at least at this stage, centralized computing power for inference is still far superior to decentralized options.

This explains why those focused on decentralized inference look at decentralized training and think, “You can’t make it happen at all,” while traditional AI views decentralized training and inference as “unrealistic in terms of training technology” and “unreliable in terms of inference commercially.”

Some say that when BTC/ETH first appeared, the model of having distributed nodes compute everything seemed relatively illogical (as compared to cloud computing). But in the end, didn’t it succeed? Well, that depends upon the requirements for correctness, immutability, redundancy and other dimensions of AI training and inference in the future. Purely in terms of performance, reliability and price, it’s currently impossible to surpass centralized solutions.

This is also a crowded track for projects, and is relatively easier to understand as compared to computing power assetization because one of the most well-known applications after the popularity of ChatGPT is Character.AI. With it, you can seek wisdom from ancient philosophers like Socrates and Confucius, engage in casual conversations with celebrities like Elon Musk and Sam Altman, or even indulge in romantic talks with virtual idols like Hatsune Miku and Raiden Shogun. All of this showcases the charm of large language models (LLMs). The concept of AI Agents has become deeply ingrained in people’s minds through Character.AI.

What if figures such as Confucius, Elon Musk or Raiden Shogun were all 

So, rather than calling it model assetization, it’s more apt to say it’s the assetization of agents built on top of large models. After all, large models themselves can’t be put on the blockchain. It’s more about mapping agents on top of models into NFTs to create a sense of “model assetization” in the AI+Crypto space.

There are now agents that can teach you English or even engage in romantic relationships with you, among various other types. Additionally, related projects, such as agent search engines and marketplaces, can also be found.

The common issue in this track is first of all that there are no technological barriers. It’s basically just the tokenization of Character.AI. Our in-house tech wizards can create an agent that speaks and sounds like a specific character (such as our co-founder, BMAN) in just one night by using existing open-source tools and frameworks. Secondly, the integration with blockchain is very light. It’s somewhat akin to 

, in which the metadata stored may only be a URL or hash, and the models/agents reside on cloud servers. On-chain transactions only represent ownership.

The assetization of models/agents is still one of the main tracks in AI+Crypto for the foreseeable future. In the future, we hope to see projects with relatively higher technological barriers and closer integration with blockchain that are more native.

Logically speaking, data assetization is the most suitable aspect of AI+Crypto because traditional AI training mostly relies on visible data available on the internet — or, to be more precise, public domain traffic data. This data may only represent a small percentage, around 10–20%, with the majority of data actually lying within private domain traffic (including personal data). If this traffic data can be utilized for training or fine-tuning large models, we can undoubtedly have more professional Agents/bots in various verticals.

Therefore, through AI+Crypto, and under the guidance of decentralized incentives, releasing personal and private domain traffic data and assetizing it to provide better and richer “food” for large models sounds like a logical enough approach. Indeed, there are several teams deeply involved in this field.

However, the biggest challenge in this track is that, unlike computing power, data is difficult to standardize. Using decentralized computing power, the model of your graphics card directly translates into the amount of computing power you have. On the other hand, the quantity, quality and purpose of private data are all difficult to measure. If decentralized computing power is like ERC-20, then assetizing decentralized AI training data is somewhat like ERC-721 — and like having many projects, such as 

 and different NFTs with different traits mixed together. The difficulty in liquidity and market-making is much more challenging than with 

. Therefore, projects focusing on AI data assetization are currently facing significant challenges.

Another aspect in the data track worth mentioning is decentralized labeling. Data assetization operates at the “data collection” step, and the collected data needs to be processed before being fed to AI, which is where data labeling comes in. This step is currently mostly centralized and labor-intensive. With decentralized token incentives, transforming this work into decentralized, labeling-to-earn or (similar to crowdsourcing platforms) distributing work is also a viable approach. A few teams are currently working in this area.

Let’s briefly discuss the currently missing puzzle pieces in this track from our perspective.

You might ask why a VC like us can come up with certain scenarios before entrepreneurs in the market can. That’s because we have seven experts on our in-house AI team, five of whom have PhDs in AI. 

Finally, although from the perspective of the primary market, AI+Crypto is still quite early and immature, this doesn’t prevent us from being optimistic about 2024–2025, when AI+Crypto will become one of the main tracks of this bull market cycle. After all, is there a better way to combine productivity that’s liberated by AI with production relations liberated by blockchain?

Viewing AI+Crypto From a Primary Market Perspective

Grab Up to 5,000 USDT in Rewards

Grab Up to 5,000 USDT in Rewards