Justin Sun: HT Is Seriously Undervalued Compared to BNB

HuobiPublished on 2022-10-21Last updated on 2022-10-24

Abstract

On the evening of October 20, Justin Sun, the global advisor of Huobi Global, talked about the price of HT in a Twitter Space live broadcast. He believes that the price of HT is seriously undervalued compared to BNB.

On the evening of October 20, Justin Sun, the global advisor of Huobi Global, talked about the price of HT in a Twitter Space live broadcast. He believes that the price of HT is seriously undervalued compared to BNB. Here are several reasons:

● These two tokens have the same circulation

● Huobi Global has more tools to empower HT

● Popular coins such as APT have a higher trading volume on Huobi Global

Is it real?

Firstly, look at the circulation. The total supply of BNB is 200 million, while the total supply of HT is 500 million, 300 million more than its compatitor. However, nearly 300 million HTs have already been burnt through the “HT Token Burn Program Community Vote”. From the perspective of circulating supply, the current circulating supply of HT is around 130 million, and the circulating supply of BNB is 160 million. The circulating supply of HT is less than that of BNB. Focusing on non-circulating HT, with 200 million in circulation compared to 160 million, the price of BNB is around 270 US dollars per token, while the price of HT is only 7 US dollars per token, the gap is indeed too wide.

From the burning curve below, by burning 150 million HT in March 2020, the burning speed of HT was significantly accelerated, while BNB was relatively slow.

Second, when HT was initially released, part of it was used to buy point cards as gifts, and HT could be used to purchase VIP members, and also could be used to vote for listing. Since the end of 2020, the empowerment actions will be significantly reduced. In addition, the Chinese users would force to leave in 2021, and the empowerment actions of HT were basically suspended. However, the empowerment of BNB actions was continuous, which lead to a rebound in the price of BNB at the end of 2021, and widens its price gap with HT. The empowerment move of HT is indeed a little weaker, but there is no fundamental difference between them by circulation and brand influence, if HT could follow the BNB in the empowerment perspective, the price gap may see a quick narrowing in the short run.

Lastly, take the trading volume of the popular currency APT as an example to analyze the gap between the giants. According to the data of Coingecko, the trading volume of the APT/USDT trading pair in Binance for the last 1 day is around 120 million US dollars, while in Huobi it is about 40 million US dollars. the gap was just about 3 times. This gap is much narrower than the price gap between HT and BNB.

The following are quoted from Justin in the live broadcast. You can tell for yourself whether it makes sense or not:

“I personally believe that HT is definitely undervalued because the circulation of HT and BNB is exactly the same, about 160 million. Now a BNB coin is a few hundred dollars, while HT is only 7-8 dollars, I think HT is still undervalued. Although Binance has a strong network effect, Huobi Global is still an excellent exchange.

For example, in the past two days, Huobi Global is still the main battlefield for the trading of APT which is a new and top-level project. To a certain extent, the price of HT does not match the users, trading depth, and capital of Huobi global. In another word, HT is still underestimated.

I’m not trying to spread FOMO emotion to you guys. Suppose I’m not a Huobi Global consultant, my judgment of the undervalue of HT will still be firm. So HT now is definitely will be a profitable investment. The reason HT was undervalued is that Huobi Global did not empower HT. Now that I am a Huobi Global consultant, I must ensure that Huobi Global will focus on empowering HT. In meetings for the last few days, I have emphasized more than 50 times to make sure that our organization's top priority is to empower HT and turn the direction of operation back to HT prosperity. "

Related Reads

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit8h ago

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit8h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit9h ago

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit9h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit10h ago

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit10h ago

Trading

Spot
Futures
活动图片