原价入手一部Saga手机，现在到底能赚多少倍？

Odaily星球日报Publicado em 2023-12-20Última atualização em 2023-12-20

Resumo

空投+挖矿+二手倒卖……Saga潜在收益一览。

原创 | Odaily星球日报

作者 | Azuma

原价入手一部Saga手机，现在到底能赚多少倍？

Solana Labs 所开发的智能手机 Saga 近期受到了市场热捧，但原因并不在于该手机在消费端创造了多大的体验优势，而是在于 Bonk（BONK）等多家 Solana 生态项目对 Saga 进行了慷慨的空投，使得购买 Saga 可获得的额外空投收益已超过了手机原有的价值。这一现象也被许多社区群众调侃为现代版的“买椟还珠”。

上周末，Solana 官方宣布 Saga 手机在北美地区已完全售罄，在欧洲地区也仅剩少量余货。

查询 eBay 等电商网站可发现，目前 Saga 在 eBay 上的二手转卖售价已超过 2000 美元，较之 599 美元的官方售价（发售时曾 1000 美元，因销量不佳下调）上浮了数倍，且发货地基本都在欧洲及大洋洲地区。

原价入手一部Saga手机，现在到底能赚多少倍？

那么，如果有幸运用户能在 BONK 热潮启动之前以原价购得 Saga，如今到底可以拿到多少收益呢？

经 Odaily 星球日报统计，目前可确认的 Saga 手机额外收益主要分为三个部分：空投获利，挖矿获利，二手转卖升值。接下来，我们将逐步分析三个不同的收益构成，看看若原价入手一部 Saga 手机，现在到底能赚多少倍？

空投部分收益

首先是最受期待的空投收益，所有新用户在启动 Saga 手机时可获得一个 Saga Genesis Token，并可凭此申领高达 3000 万枚 BONK，当前总价值约为 536 美元（12 月 15 日的峰值总价值曾高达 1024.8 美元）。

除了 BONK 之外，持有 Saga 还可以获得其他多个项目的空投以及专属 NFT 铸造资格，具体包括：

  • Call of Saga：今年 5 月，Claynosaurz 与 Saga 联合推出了 NFT 系列 Call of Saga，持有 Saga Genesis Token 的用户拥有专属铸造资格，当前 Call of Saga 的地板价为 22.25 SOL，价值约 1700 美元。

  • Access Protocol（ACS）：空投数额 10 万枚 ACS，总价值约为 256 美元。

  • Solend（SLND）：细节未确认，但其创始人 Rooter 已确认会对 Saga 持有者进行空投；

原价入手一部Saga手机，现在到底能赚多少倍？

Odaily星球日报注：Rooter 确认会对 Saga 持有者进行空投。

  • Samoyedcoin（SAMO）：细节未确认，但其官方 X 账户已官宣会对 Saga 持有者进行空投；

此外，包括 Jupiter（JUP）等生态主流项目以及 MORY、GECKO 等 meme 代币的社区均已讨论过对 Saga 持有者的空投事宜，但暂时并无确定性的官方公告。

原价入手一部Saga手机，现在到底能赚多少倍？

Odaily星球日报注：Jupiter 尚未敲定是否对 Saga 持有者进行空投。

总而言之，作为 Solana 生态 OG 用户的绝佳凭证，Saga 持有者已成为了许多 Solana 生态项目空投时的优先选择，预计接下来仍将有更多项目选择跟进。

挖矿部分收益

挖矿部分收益，主要指的是 Saga 手机的持有者可以进行去中心化无线通信网络 Helium Mobile（MOBILE）以及去中心化存储网络 ShdwDrive（SHDW）的挖矿，其中 MOBILE 凭借着近一个月以来数十倍的涨幅早已成为了社区内热议的资产标的。

首先需要明确的是，参与 Helium Mobile 的挖矿并非 Saga 的特权，但 Helium Mobile 的开发商 Nova Labs 早在去年便已向 Saga 手机用户提供了 SIM 卡和为期一个月的免费试用，允许 Saga 直接“白嫖”。

据参与了 Helium Mobile 挖矿的用户反馈，10 月时每天挖矿可产出 8000 - 9000 枚，但近期随着大量用户的涌入，单个用户的挖矿收益已降低至 2000 枚左右，且产出每天仍在以 9% 左右的速度递减。

原价入手一部Saga手机，现在到底能赚多少倍？

取 8000 - 2000 的平均值 5000 估算，若 Saga 持有者有效利用一个月的免费试用期进行了 Helium Mobile 挖矿，其过去一月内可获得大约 150000 枚 MOBILE，价值约 900 美元（只是个粗略估算数字）。

至于 ShdwDrive（SHDW），其官方账户此前已于 X 平台确认，持有 Saga 的用户仅需打开 App 即可轻松参与 SHDW 的挖矿，但社交媒体上暂时缺少关于该挖矿的收益状况披露。

原价入手一部Saga手机，现在到底能赚多少倍？

二手转售收益

最后一种潜在的创收途径就是二手转卖了，如前文所述，目前 Saga 在 eBay 上的二手转卖售价已超过 2000 美元，一般卖家都会备注是否已申领 BONK 空投，但即便是抛除掉 BONK 的空投价值，Saga 的转售价格依旧较 599 的官方售价有较大的盈利空间。

不过，考虑到 Solana 生态项目对 Saga 持有者进行空投已有了趋势化的倾向，且除了空投之外 Saga 用户还可以通过挖矿获利，因此对于已入手 Saga 的幸运买家而言，HODL 或许是更好的选择。

Leituras Relacionadas

Microsoft Announces Commercial-Grade Quantum Computer to be Completed in Three Years: Will the Boots Land?

Microsoft announces plans to build a commercially viable quantum computer by 2029, a significant acceleration from the previous industry consensus of a decade. The breakthrough is fueled by their new Majorana 2 quantum chip, which boasts a record-breaking average qubit lifetime of 20 seconds—a 1,000-fold reliability improvement over its predecessor. This leap was achieved by leveraging topological qubits, a theoretically more stable technology using Majorana zero modes, and switching the core superconducting material from aluminum to lead. Crucially, Microsoft's "Discovery" agentic AI platform accelerated the R&D process. AI agents autonomously analyzed vast experimental data, optimized manufacturing parameters (like the lead alloy composition), and solved issues like "ghost noise," dramatically speeding up experimentation. While the 20-second coherence time is a landmark, challenges remain: scaling from 12 qubits to the millions needed for practical applications, managing compilation costs, and verifying quantum results. Skeptics call for peer-reviewed data, and questions persist about whether even 20 seconds is sufficient for complex algorithms like breaking RSA encryption. The race is on with other approaches (superconducting, trapped ions), but Microsoft's confidence in its topological roadmap signals a potential shortcut to a scalable quantum future.

marsbitHá 1m

Microsoft Announces Commercial-Grade Quantum Computer to be Completed in Three Years: Will the Boots Land?

marsbitHá 1m

What Kind of People Is Anthropic Actually Hiring? Insights from 1,680 Resumes Provide the Answer

Contrary to the common perception of Anthropic as a PhD-heavy AI research lab, an analysis of 1,680 engineer profiles reveals its core talent is experienced "builders." The engineering team, largely assembled in the past 18 months (median tenure 10 months), hires senior engineers with a median of 12.2 years of prior experience. They primarily come from major engineering-focused companies like Google, Meta, Amazon, Microsoft, Stripe, Databricks, Snowflake, and Palantir, not primarily from other AI labs. Their backgrounds are infrastructure-heavy (40%), focusing on backend, distributed systems, databases, and security, with skills like Python, Java, C++, and AWS being common. Only 13.7% hold PhDs. The dominant job title is "Member of Technical Staff." For early-career hires (<6 years experience), entry is not based on standard work history but on prestigious signals: top internships (e.g., at FAANG or quant trading firms), competition rankings, research publications, or AI safety fellowship experience. The key insight for applicants is to present as infrastructure builders, highlighting experience with large-scale systems, not as pure researchers, reflecting Anthropic's identity as a highly engineered infrastructure company.

marsbitHá 4m

What Kind of People Is Anthropic Actually Hiring? Insights from 1,680 Resumes Provide the Answer

marsbitHá 4m

Is There Really a "World Cup Curse" in the Market?

Is there really a "World Cup Curse" affecting markets? Historical data shows global equity markets often underperform during the tournament. The S&P 500 has averaged negative returns of -1.5% to -2.11% across 19 World Cups since 1950, with declines in 58% of events. China's Shanghai Composite fell in 71% of tournaments since 1994. Studies confirm reduced trading activity during matches, with volumes dropping significantly, especially when a home nation plays. A team's loss can also lead to negative sentiment and selling pressure in its domestic market the next day. However, the "curse" may be partly attributed to seasonal weakness. Many tournaments are held in June-July, a historically weaker period for stocks ("Sell in May and go away"). The 2022 Qatar World Cup, held in November-December, saw a smaller drop in trading volume compared to summer events, suggesting timing plays a role. The cryptocurrency market's performance during World Cups has been mixed and largely driven by its own major catalysts (e.g., Mt. Gox hack, FTX collapse, halving cycles) rather than the tournament. Investment opportunities have shifted over time. Traditional beneficiaries like TV manufacturers have seen fading returns as streaming platforms become the core viewing channel. Classic consumer plays like beer and sportswear face challenges from changing consumption trends. Newer digital assets, like fractionalized collectible player cards on blockchain, have seen explosive growth. While gambling is a traditional sector, prediction markets are emerging. In conclusion, while a statistical correlation exists, the World Cup's direct impact on markets is likely limited and intertwined with seasonal patterns. With lower liquidity during the event, the simplest strategy for many might be to step back from trading and enjoy the games.

marsbitHá 8m

Is There Really a "World Cup Curse" in the Market?

marsbitHá 8m

Why 'AI Service Subscription' Is Destined to Die Out?

"Why 'AI Service Subscription Models' Are Doomed to Disappear" The article argues that the flat-rate subscription model for AI services is fundamentally unsustainable. It points to recent industry shifts, such as Anthropic limiting access to its flagship Claude Fable 5 model for subscribers after just 14 days, and GitHub and OpenAI moving towards credit-based or usage-based billing. The core problem is that subscription models rely on a capped human consumption limit—like watching videos or listening to music—which keeps costs predictable. However, the rise of autonomous AI agents shatters this premise. Agents can consume 5 to 30 times more computing resources (tokens) than a human chatting, and they operate continuously without user presence. This removes the natural usage cap, making fixed-price plans financially unviable as heavy users incur massive costs. Attempts to patch the model with higher tiers or usage caps have failed, often leading to "adverse selection" where only the heaviest users subscribe. The industry's solution is to hollow out subscriptions, replacing "unlimited" access with prepaid credits charged per token, akin to a utility meter. While chat-based subscriptions may linger, the real value and revenue are shifting to pay-as-you-go models. The current period represents a final, heavily subsidized phase for users. The conclusion is that the soul of subscription—a fixed price for worry-free use—is dying, soon to be replaced by pure usage-based pricing where everyone pays for their own "electricity meter."

marsbitHá 9m

Why 'AI Service Subscription' Is Destined to Die Out?

marsbitHá 9m

The Biggest Buyer Disappears: The AI Capital Frenzy Is Reversing the 'De-Equitization' Cycle in US Stocks

"The AI capital surge is reversing a two-decade-long trend of 'de-equitization' in the U.S. stock market. According to JPMorgan, net equity supply could reach $1.5 trillion over the next two years, the strongest cycle since the late 1990s. Goldman Sachs forecasts net supply will rise from negative to around zero by 2026, ending a key structural support for stocks. This shift is driven by massive capital demands from the AI race, pushing companies from buybacks to large-scale equity issuance. Landmark events include SpaceX's record $75B IPO, with OpenAI and Anthropic poised to follow. Alphabet is planning an $85B share sale, emblematic of tech giants turning from net buyers to sellers. While retail investors and money market funds are seen as potential buyers, concerns are rising. Analysts warn that such concentrated, large-scale issuance historically coincides with investment frenzies and often precedes weaker market returns and increased volatility. The era of easy 'stock market QE' is over, with supply becoming a significant market headwind."

marsbitHá 13m

The Biggest Buyer Disappears: The AI Capital Frenzy Is Reversing the 'De-Equitization' Cycle in US Stocks

marsbitHá 13m

Trading

Spot
Futuros
活动图片

Categorias popularesright-arrow

Etiquetas Popularesright-arrow