盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

Odaily星球日报Published on 2024-01-15Last updated on 2024-01-15

Abstract

涵盖游戏、社交以及BTC Layer2赛道。

原创 | Odaily星球日报

作者 | Asher

编辑 | 秦晓峰

盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

Launchpad 打新收益不错,热度居高不下,Odaily星球日报整理了最近热度较高且没有发售的 3 个 IDO 项目。温馨提示,市场波动巨大,投资前务必进行充分的研究。

TgPet:Telegram 上的宠物游戏

盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

图源:官推

TgPet 是 Telegram 上的一款宠物游戏,将 BRC-20 和 EVM 技术与移动游戏融为一体。它通过 P2E 模式提供宠物培育、社交参与和奖励,构建一个充满活力的游戏社区,其代币为 TGGM。

因为 TgPet 在 TurtSat(小乌龟)上发售,所以仅白单用户可以参与。白单分为 Alpha 和  Beta  两轮,其中,Alpha 轮是 100% 确定份额的保证白单,发售时间从 1 月 16 日 19: 00 开始, 21: 00 结束(北京时间); Beta 轮目前是幸运抽奖模式,发售时间从 1 月 16 日 21: 30 开始, 23: 00 结束(北京时间)。

盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

TGGM 发售细则

同时,在 TGGM 发售前,TgPet 为 TurtSat 在 Uniswap 上 TURT-WETH 池子添加价值 10 ETH 的流动性并锁定 6 个月。

盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

图源:官推

IDO 网站:https://turtsat.io/public_donate_details?ticker=Tggm&launch=1

官方推特:https://twitter.com/pettg

官网:https://www.tgpet.tech/

Sociapol:社交和游戏平台

盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

图源:官推

Sociapol 是一个社交和游戏平台,采用 SocialFi 和 GameFi 等元素,允许用户定制专属的 NFT。平台内,用户通过赚取原生代币 SPOL 来进行游戏社交、创建内容和参加活动。

盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

图源:官推

本次 SPOL 进行 IDO 的信息如下:

  • 总募集: 335, 000 DAO;

  • 代币供应量: 100, 000, 000, 000 ;

  • 初始市值: 149, 000 美元(DAO Maker 官推给出的初始市值为: 123, 000 美元);

  • 初始流通量: 2, 140, 000, 000 ;

  • 代币合约:0xf897176B529A6B9f0412459d872cda4Ed6d395D8(BSC 链)。

除了本次 IDO 的募集信息外,DAO Maker 也给出了 SPOL 的经济模型(如下图)。

盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

SPOL 代币经济模型

IDO 网站:https://app.daomaker.com/project/SociaPol

官方推特:https://twitter.com/sociapol

官网:https://www.sociapol.com/

SatoshiVM:比特币 ZK Rollup Layer 2 解决方案

SatoshiVM 是一种去中心化的比特币 ZK Rollup Layer 2 解决方案,与以太坊虚拟机(EVM)生态系统兼容,使用原生 BTC 作为燃料。SatoshiVM 将 EVM 生态系统与比特币联系起来,使比特币生态系统能够发行资产和开发应用程序。目前,测试网络已上线(链接:https://testnet.svmscan.io/),其原生代币为 SAVM。

盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

SatoshiVM 测试网数据

关于 SatoshiVM,有几点值得关注:

  • 新的推特账号:官推的第一条内容发布时间为 2024.1.9 ;

  • 与 MultBit 达成战略合作: 2024.1.12 ,SatoshiVM 与 MultBit 达成战略合作,MultiBit 将成为其指定的 BRC 20 桥。

关于本次 SAVM 的发售信息,Bounce Brand 决定采用全新的”初始 LP 收益“方式进行发售(ILO),已知发售信息如下:

  • 发售时间: 2024.1.19 ;

  • 参与方式:通过 AUCTION 代币购买入场卷;

  • 获胜奖励:每个获胜者都可以从 SAVM 的 AMM LP 中获得持续的交易费用份额;

  • 长期收益:获奖者可以在代币发行后定期领取 ETH 奖励。

盘点即将IDO的3个项目:TgPet、Sociapol及SatoshiVM

图源:官推

目前,具体的参与信息并未公布,建议 AUCTION 持有者关注 Bounce Brand 最近几日的最近信息。

IDO 网站:未发布

官方推特:https://twitter.com/SatoshiVM

官网:https://www.satoshivm.io/

Related Reads

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

NVIDIA is set to launch its new Vera AI data center CPU in China as early as August, with high pricing. While this move offers a new option, it highlights China's continued dependence on foreign-controlled Arm architecture. In response, the Chinese semiconductor industry is increasingly turning to RISC-V as a strategic alternative for achieving high-performance computing autonomy. The article explores the concept of the "impossible triangle" in CPU development—balancing prosperity, control, and autonomy—and posits that RISC-V's open-source, modular nature offers a unique path to achieving all three. While RISC-V is already dominant in embedded systems, the focus is now shifting to data centers and AI workloads. China has become a global hotspot for RISC-V development, driven by AI-driven compute demand, supply chain concerns from export controls, cost benefits of open-source, and strong policy support. Multiple Chinese companies have reportedly crossed the key performance threshold of 15 SPECint per GHz, a benchmark for entering the high-performance CPU club. Progress extends beyond single-core benchmarks. Companies are developing complete computing subsystems, including commercial-grade coherent network-on-chip (NoC) technology and server processors with up to 40 cores that strictly adhere to the RVA23 standard to ensure software compatibility. Real-world applications are emerging in areas like video transcoding and edge AI. However, significant challenges remain. The RISC-V ecosystem faces fragmentation, immature toolchains and verification processes, and gaps in single-core performance and energy efficiency compared to mature x86 and Arm architectures. The formidable software moat, epitomized by NVIDIA's CUDA, is a long-term hurdle. In conclusion, while RISC-V cannot immediately replace offerings like NVIDIA's Vera, it represents a viable long-term path for China to develop a self-sufficient, high-performance CPU ecosystem. The journey is acknowledged to be long and arduous, requiring sustained effort to overcome technical and ecosystem challenges.

marsbit4h ago

NVIDIA CPU Advances, China's RISC-V Responds: Semiconductor Deep Dive - Part Four

marsbit4h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

The author built a custom monitoring dashboard for Polymarket, a prediction market platform, and tested it with $1,600, achieving over 30% returns. However, the core argument is that Polymarket is not a good venue for traditional arbitrage. The dashboard has two main sections: a "Portfolio Dashboard" for tracking active positions with key metrics like total capital, P&L, and a risk-control module using a tier system (T1, T2, T3), and an "Opportunity Watchlist" for monitoring markets. The article details a critical structural trap in binary markets: a bet with a high perceived probability of success still carries a 100% loss risk if wrong. The author's T1/T2/T3 system is designed to manage this by limiting position sizes based on conviction and time horizon, emphasizing that high confidence should not equal high concentration. A key insight is the danger of "pseudo-diversification"—betting on different markets driven by the same underlying variable. The author concludes that Polymarket offers few true low-risk, arbitrage opportunities. It is instead a high-risk environment where wins can create a false sense of mastery, leading to large losses. The platform is better viewed as a training ground for honing judgment through disciplined, framework-driven betting rather than a reliable income source. The tools help transform intuition into structured, rule-based decisions to mitigate the risk of catastrophic errors.

marsbit7h ago

My Coding Betting Dashboard is Profiting, but Polymarket is Truly Not a Good Place for 'Arbitrage'

marsbit7h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

**"WeChat AI Card" Practical Test Guide: Has the Era of AI Shopping Arrived?** WeChat has officially launched the "AI Exclusive Card," a feature integrated into its Workbuddy AI assistant. This card is designed to handle payments for AI-initiated purchases. Our hands-on test reveals it's not yet a tool for fully autonomous AI shopping, but rather a controlled payment layer for AI agents. The AI Card functions as an isolated sub-wallet within WeChat Pay. Users must bind the card and transfer funds into it from their main wallet. Crucially, every transaction requires explicit user confirmation via smartphone scan; AI cannot spend autonomously. Currently accessible through the Workbuddy agent, the card targets specific digital consumption scenarios: purchasing paid content (reports, data), calling paid APIs/tools, and subscribing to services. Its design prioritizes security and control by separating funds and mandating approval for each payment. We tested a real-world scenario: ordering bubble tea via Workbuddy using a "Meituan Life Assistant" skill. The process encountered multiple hurdles: high "skill" usage costs (exceeding daily free credits), and most importantly, while a payment was successfully initiated, the AI purchased an incorrect product (a mismatched group-buy coupon instead of the desired drink). This highlights the current limitation: the **AI Card only solves the payment step**. The broader challenge lies in the **AI agent's execution chain**—accurately understanding intent, navigating third-party platforms, selecting the right product, and ensuring proper fulfillment. The payment succeeded, but the purchase failed to meet the user's need. In conclusion, the WeChat AI Exclusive Card is a cautious, early-step experiment in AI commerce. It provides a secure, user-controlled payment method for agent interactions but is not yet capable of reliable, end-to-end complex purchases. For now, it's best used for low-value, low-risk digital services with careful user verification at each step. The vision of AI handling complete shopping tasks remains a work in progress.

marsbit10h ago

WeChat AI Card Hands-On Guide: Has the AI Shopping Era Arrived?

marsbit10h ago

Trading

Spot
Futures
活动图片