Polygon Gas暴涨背后,pols能否再现sats奇迹?

Odaily星球日报Опубликовано 2023-11-16Обновлено 2023-11-16

Введение

各链开花的新暴富机会?

原创 | Odaily星球日报

作者 | 0xAyA

提到 Polygon,人们的印象总是能言善道的印度裔开发者们,以及不时”爆炸“的链上情况。提到 sats,人们的印象又变成了其巨大的供应量以及社区对这个铭文所爆发出来的热情。相关阅读:《两日涨幅 250% ,BRC-20 代币 sats 迎来高光时刻

两者似乎风马牛不相及,然而,当 sats 的“同分异构体”——pols 在 Polygon 上被人发现时,却点燃了这条老公链的铭文热情,甚至一度让 Polygon 的 Gas 费冲到了 2000 以上,截止发稿前,Gas 费已经逼近了 2700 的大关,正朝着 3000 疾驰而去。Polygon 的交易笔数也突破了 610 万笔,到达了年内的峰值。Polygon Gas暴涨背后,pols能否再现sats奇迹?称 pols 为 sats 的“同分异构体”,是因为两者都有着同样巨大的供应量。而不同的点在于,Polygon 的 Gas 费相比于 ETH 和 BTC 十分廉价,这使得打一张 pols 的成本远远低于 sats,同时人手一个的小狐狸钱包又方便了用户进行操作,于是人工队和机械队开始互相暗自较劲了起来。

Polygon Gas暴涨背后,pols能否再现sats奇迹?

Polygon Gas暴涨背后,pols能否再现sats奇迹?

廉价的交易费用也使得社区开始 Fomo,Polygon 的 Gas 费在一天之内几乎翻了十倍,而随着越来越多人手握着脚本学会了批量打印,还未被挖出来的 pols 也是越来越少。

事实上,EVM.ink 的前端早已被蜂拥而来的玩家冲的不堪重负,无论是铸造的百分比、持有人数以及自己持有的 pols 数量都无法正常显示,而 EVM.ink 的开发者对此表示:“哥们,网站上现在有 6 万人。”

Polygon Gas暴涨背后,pols能否再现sats奇迹?

实际的数据可以在 Dune 查看,截止发稿,pols 持币地址接近 7 万个,共有 950 万个 pols 铭文被铸造,其中不乏有单地址上千甚至上万的“科学家”。

Polygon Gas暴涨背后,pols能否再现sats奇迹?

无论结果如何,Polygon 此次因铭文而引发的 Gas 热潮,都说明了铭文生态此时此刻在加密社区中的影响力和吸引力是多么巨大。这种热情的爆发也展示了玩家对于对新项目的 Fomo,也从侧面透露出对市场的信心——牛回,速归。pols 能否像 sats 一样给社区带来新的暴富故事?Odaily星球日报将保持关注。

Похожее

Anthropic Founder's Handbook: How to Build an AI-Native Company!

Anthropic has released "The Founder's Playbook: How to Build an AI Native Company," a guide that reimagines the startup lifecycle (Ideation, MVP, Launch, Scale) for 2026-era AI capabilities. The core thesis is that AI is fundamentally changing how ideas become reality, shifting the founder's role from an individual contributor to an orchestrator of AI agents. This lowers execution barriers, allowing domain experts (e.g., in medicine, law, education) to build products without deep technical skills, as AI can handle prototyping, coding, research, and operations. However, the playbook warns that easier prototyping increases the risk of building products no one needs, emphasizing that validation, not just building, is critical. It highlights that AI enables small teams to possess capabilities once reserved for large organizations, compressing functions like development, marketing, and support. This challenges traditional competitive advantages based on organizational size. For AI-native companies, sustainable moats will not come from the AI model alone but from deep domain knowledge, user data flywheels (behavioral fingerprints from real usage), and workflow lock-in that makes switching costly. Ultimately, the guide signals a shift in focus from raw model capability to how AI fundamentally reshapes company structure, processes, and competitive strategy. An AI-native company is defined not by using AI tools but by embedding AI into its core operational DNA from inception.

marsbit49 мин. назад

Anthropic Founder's Handbook: How to Build an AI-Native Company!

marsbit49 мин. назад

Торговля

Спот
Фьючерсы
活动图片