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Degen
Joined July 2022
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Assentcrypt 🧑🌾 retweeted
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Assentcrypt 🧑🌾 retweeted
Your investment ideas, advanced by intelligence. Global markets, on your terms.
ARX is live on iOS and Android. Built on @HyperliquidX.
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Assentcrypt 🧑🌾 retweeted
The product you launch and the product people actually need can become very different things as you learn from your users
Assentcrypt 🧑🌾 retweeted
This SDK breakdown proves that the real bottleneck in scaling agentic tools isn't model intelligence—it's State Hygiene. Standard database setups force you to maintain massive, complex tables to link users to variable trip constraints like dates and budgets. Using client.add to stream unstructured strings and letting EverOS abstract them into a structured queryable profile summary completely cleans up your backend code. For developers taking advantage of the 6-month Pro tier multiplier to build automated consumer apps, the move here is to strictly enforce uniform sender_id validation across your SDK functions. This locks down multi-tenant isolation at the memory ingestion level, ensuring zero risk of context contamination in shared runtime sessions.
Assentcrypt 🧑🌾 retweeted
AI can help you build an app in minutes, but do you understand what you’re building? 💻
Being able to prompt AI is great, but understanding how your app works, identifying errors, and knowing how to fix them is what sets a builder apart. Are you a builder or just a prompt writer
Assentcrypt 🧑🌾 retweeted
没改源码而是用 Pi 的 Hook 机制在前端实现自动化的“记忆预填充”，对于手头维护多个微服务架构的独立开发者很有启发。在这个自研的 pi-everos 插件和 /everos doctor 检查项的基础之上，其实可以衍生出一个非常有价值的“多仓库工程决策热同步”场景：我们可以通过扩展把这个连接打通到 GitHub Actions CI 容器内部。当本地编写的 README 要求或者环境变量 key 在测试机触发了发布阻断时，容器直接通过 API 跨设备把导致 401 失败的编译 trace 注入到项目的 Episode 里。这样当开发者在别的设备唤醒 Pi 时，本地的 before_agent_start 就能立刻自动拉到云端的失败热判定，完全省去了排障日志在团队跨机器之间的口头交代摩擦。
Assentcrypt 🧑🌾 retweeted
价格确实比官方直充（$20/月）便宜了将近四分之三，对低频体验用户很划算。但低价渠道的核心边界在于“风控稳定性”和“隐私隔离”。海外这类聚合订阅平台很多是通过礼品卡或者是虚拟信用卡（VCC）批量开卡的，经常会遇到官方封号或者中途掉线的问题。如果拿来跑生产环境、或者对话里有敏感的企业核心代码，建议还是得慎重评估一下数据安全，或者做好随时导出历史 Chat 记录的备份准备。
Assentcrypt 🧑🌾 retweeted
折合 $4.95/月 的确把门槛拉到了极致，但共享版的核心边界就在于“高强度的连续对话流”。ChatGPT Plus的精髓在于长上下文的连续追问，一旦拼车号有多人在同一时间段疯狂“塞代码”或者“喂长文”，整个账号的公共 Token 消耗就会暴增，极易导致对话历史断层。你加购的这个 GamsCare+ 顶多保证账号本身不掉线，但解决不了高峰期被别人占满调用额度的尴尬。如果只是轻度改稿还行，深度写脚本还是独享号靠谱
试了一圈 AI 订阅，最后只留了 ChatGPT Plus 这一份。
我每周固定做 3 类事：
· 写东西：推文、文档初稿、改稿
· 写代码：查 bug、写小脚本
· 查资料：读长文、整理要点
ChatGPT、Claude、Gemini 轮流用了一阵，这 3 件事 ChatGPT Plus 都接得住，不用再来回切，也不用同时养好几份订阅。
价格：我在 @GamsGo_Global 买的 ChatGPT Plus 共享版，6 个月 $30.59，折合 $5.10/月（官方 $20/月）。用我的码【PA3JH】再省 3%，折合 $4.95/月。
GamsGo 自营交付，付款后自动到账。我加购了 GamsCare+，订阅期内账号出问题能补发或退款，24 小时内反悔连保费一起退。
链接放评论区👇
Assentcrypt 🧑🌾 retweeted
比低价区菲律宾还要便宜确实夸张，看来大客户企业分销渠道的价格优势被压得很死。不过关于“Pro-200 独享账号”有个细节想请教：这个套餐下发的是 个全新的、已经预先激活了 Pro 的独立账号密码，还是说可以在我们自己绑定了日常开发环境的历史老号上进行优惠升级？另外，因为用的是独享号，如果在密集跑 Codex 的高强度测试中遇到了官方 API 的速率限制（Rate Limit），我们能直接进后台看分配到的企业主卡限制额度吗？
我靠，我靠, 我靠！兄弟们，我找到一个比菲律宾还便宜的订阅 20X 的地方。
Codex Pro 的 $200 月费档，GamsGo @GamsGo_Global 现在 $145.99/月。
这价格，比我在菲律宾区订阅的价位还要便宜了。
Codex、Claude、Grok 我自己都在订，这类工具用得多，看到 Pro 这档的价格，会特别留意一下。
刚看了 GamsGo 的 Codex 自营套餐：Pro-200，独享账号，1个月。
想再加一个 Codex 账号，或者准备上 Pro 的，这个价确实值得看看。
用评论区的链接下单，还可以再返 3%，相当于用U卡返现了。
Assentcrypt 🧑🌾 retweeted
把预算砸在顶级模型上确实比买割韭菜的 AI 课务实得多，但这套“Claude Pro 共享号”工作流的边界非常明显。Opus 5.5 跑复杂文案和多模态视频结构时需要极高的上下文连贯性。在 $4.95–$6.78 这 档的拼车号里，多人的 Session 历史经常处于频繁交叉污染的边缘。只要同车有其他人不守规矩在后台疯狂刷长图或重度洗稿，公共额度瞬间就会被抽干。这种共享平替确实只适合极低频的通识轻度改稿，稍微涉及商业交付的视频流水线，高频调用报错的摩擦成本很快就会超过省下的那十几美金。
真的没必要去买编程课，AI课了，那钱拿去订一个好模型都比听啥课都强。。大模型赢家通吃是这样的。。
虽然我用codex写代码，但我始终保持一份claude订阅。。写文案做视频opus5.5就完全不用操心。。
AI 是放大器，本身是 0的它也放大不了，本来就会干活的它就可以让你快十倍。。
订阅是在 @GamsGo_Global 市场买的 Claude Pro 共享，今天的价，最低是$6.99/月起，用码 YEDAG 再减3%，是 $6.78/月起。共享号适合轻度用哈。。
Assentcrypt 🧑🌾 retweeted
价格表格 目了然，最高降幅达到将近 30%，针对 Pro 档位确实帮重度开发者省了 大笔刚性开销。但这种“独享 1 个月”的开卡模式存在 个明显的工程边界，就是“长线调试项目历史的迁移摩擦”。即使它是独立号不是共享拼车，由于服务周期只有 个月，下个月换新号时，你原生的代码上下文缓存、自定义的模型微调配置和长期训练好的系统级 Prompts 库如果无法 键导出同步，对于高频写长项目脚本的人来说，频繁重构开发环境的无形时间成本其实已经超过了省下的几十美金差价。
Codex 官方 $20/月，GamsGo 上 $16.49/月
我平时就用 Codex 写代码，这次让它自己做了张价格对比表、跑了校验：
Plus 独享：官方 $20 → GamsGo $16.49
Pro-100：$100 → $68.99
Pro-200：$200 → $145.99
均为 USD/月、独享 1 个月，10 月 20 日页面价。
促销码 CTHTN 再减 3%
@GamsGo_Global
Assentcrypt 🧑🌾 retweeted
Spot on
The cross-session history retention is great for sequential debugging, but the real engineering bottleneck here is memory pollution over time. While it's great that the Memory Bank console provides CRUD APIs to manually correct or delete outdated records, relying on human-in-the-loop intervention to prune old context doesn't scale when running high-frequency automated agent matrices. If an outdated interface fix isn't manually wiped, a fresh agent could easily retrieve stale context and apply a broken patch to a newly updated UI schema.
Assentcrypt 🧑🌾 retweeted
接近7折买 Pro 确实省下不少银子，但这种聚合渠道开高阶 Pro 号的核心边界在于“资源争抢和风控合规”。官方 $200 包含的是独占的算力和极高频的 o1 密集调用额度。如果是拼车或通过企业独占 API 桥接的自营号，高频跑电商 Prompts 或多步自动工作流时，很容易因为卡开卡主体的全局速率限制（Rate Limit）导致深夜调用被卡顿。如果没有特别极端的重度算力诉求，建议上车前先拿非核心的业务数据测试一下响应延迟和调用频次。
今天打算搞多一个GPT账号，打开了久违的gamsgo
发现GamsGo上的ChatGPT pro 20x
原价200$的才卖$145.99$？接近7折啊，怎么做到的？？
而且我没理解错的话这个是自营渠道，带质保的~
链接：gamsgo.com/zh/details/chatgp…
Assentcrypt 🧑🌾 retweeted
🚀 Building an app is one thing. Building a product that solves real problems is another! 💡
At ThinkItTechIt, we believe great products go beyond code. They require understanding users, identifying real needs, and creating solutions that make a difference. 🤖💻
Assentcrypt 🧑🌾 retweeted
Decoupling the memory infrastructure layer from the core orchestration stack via an API is the right architecture for production-grade setups. Anyone running multi-agent matrices knows the pain of managing context windows when a thread locks or terminates. The fact that this handles multi-modal ingestion (documents and images alongside text) means we can finally store actual UI state screenshots and layout schemas as persistent reference points, instead of wasting context tokens on massive textual descriptions every time a new thread boots up.
Meet EverOS Cloud. 💛
Your agent shouldn’t have to start from scratch every time a conversation ends.
The preferences a user shared. The decisions made during a project. The approach that worked on a previous task. That context should be available when it matters again.
EverOS Cloud gives your agents persistent memory through an API:
• Remember users and retrieve relevant context across sessions
• Turn task experience into Cases and reusable Skill memories
• Bring conversations, images, and documents into your memory workflow
You build the agent experience. We handle the memory infrastructure, so you can spend less time maintaining the stack and more time making your product useful.
Subscribe to EverOS Cloud Pro and get 3× the standard Pro usage allowance for 6 months.
Start here:
everos.evermind.ai