Neo

预测市场策略 · AI 工具实战 · 独立构建日常
Prediction markets × AI tools. Building in public.

[SpaceX @SpaceX]

Falcon 9 launches @NASA’s Crew-13, Dragon’s 21st human spaceflight mission

[Neo @code_87k]

@kale243222 羡慕吧

[Neo @code_87k]

@alin_zone 不验证手机号吗

[Office of the First Lady @FirstLadyOffice]

🇺🇸🇨🇳

[Neo @code_87k]

@yedabinbinah Check out Muse, your personal AI agent. Redeem my code in Settings within 48 hours of joining and we'll both get 1 billion Muse tokens.

Code: ZQT5GW
https://t.co/CCEqzJlDjB

成功了，感谢

[余温 @gkxspace]

用梯子🪜的兄弟们，一定要把分流规则配好啊，我刚踩过坑🥲！！！

我让 Codex 帮我分析了一下配置和日志，发现不少本该直连的网站都在走代理，IP乱飞......

上个月 DMIT 的 1T 流量几天就没了，也是因为没配好分流，又花七十块重置。

哪些网站直连、哪些走代理，DNS 和兜底规则怎么配，都会直接影响访问速度和节点流量。

我让 Codex 去找了一些开源规则仓库，最后我选了 Johnshall/Shadowrocket-ADBlock-Rules-Forever。这个仓库提供多套配置，每天北京时间 8 点更新规则。

我平时就用 DMIT 的单节点，需求就是国内和海外区分清，所以选的是 lazy.conf。

如果���也在用 Shadowrocket，可以把仓库链接和下面这段话直接丢给 Codex：

请先不要修改我的 Shadowrocket。先读取或让我提供当��配置，再确认我的节点数量、分流目标、是否需要广告过滤和策略组。

对比这个仓库提供的配置，我们来进行几轮探讨，最终推荐最适合我的一套并说明理由：

https://t.co/SjufsBHGTK

[@levelsio @levelsio]

💰 Passed $10M/y in revenue + investment gains this year

I've always been aggressively increasing my profit margins to as high as possible, especially the last few years, and especially this year where I've reduced my SaaS dependencies to just a handful of companies by vibecoding my own replacements

It's now about 94.5% profit!

Spend less -> lower costs -> more profit -> more money saved -> more money to invest -> more % returns on investments

And at some point that investment return starts to pass by your business revenue which it has for me for about a year now

Most of my investments have been simple ETFs like Vanguard S&P500, but also a few lucky stock and startup bets that worked out:

Back in 2022, I couldn't get any available GPUs, so I thought it might be smart to buy Nvidia if there's such a shortage and that was a good bet too

Then back in 2023 @dannypostma recommended me to invest in the companies we used for our AI inference for our photo AI apps, so I did that too. First I invested in @replicate and then also @FAL

From then I just asked every app/service I used if I could invest, like @cursor_ai in 2025 which then got acquired by @spacex recently!

My business revenue has remained very stable at about $200K-$250K/mo, but even with that investment returns have now surpassed that

Investments fluctuate a lot so some years it's up some years it might be down a lot (who isn't expecting a big crash at some point?), and most investment gains are unrealized (I never sell!), so keep that with a big grain of salt!

I keep my revenue/gains together with my profit margin and my sleep score in my situation monitor dashboard, as those are equally important :D

Many people in the last decade told me to spend all my money, either personally or with my business to grow it, we don't know how that would have ended up, maybe my companies would be bigger, but I'm happy I did it in my own lean profitable healthy way and it ended up great I think! 🙏😊

[Neo @code_87k]

@uu_remote 多测试下，各个场景，终端不是太好用

[雪踏乌云 @Pluvio9yte]

最近Jev爆火，拿到 Jev API 还不知道怎么玩的，可以按这个清单抄。

1. jev-ultrafast
Browser Use 做的高速浏览器 Agent。Jev 每一步只判断「做什么、点哪个元素」，要打字才叫小模型。Google Flights 搜一次航班大约 7 秒。
https://t.co/IBPb4LBRQh

2. fast-jev-compaction
给 Claude Code 做上下文压缩。每次工具调用先让 Jev 判断还有没有用，没用的删掉，留下来的原文不重写。
https://t.co/qbPTr3TFTB

3. json-render
Vercel Labs 的生成式 UI 框架。实验里 Jev 不逐 token 写 JSON，只负责选组件、属性和布局。
https://t.co/iK0x89svV1

4. typesafe-mcp
最适合刚拿到 API 的人。把 Jev 接进 Claude Code、Claude Desktop、Codex 和 Pi，随时做 Choice / Score / Noul。
https://t.co/XU16Z4xTNb

5. jev-mcp
现成的 Agent 判断工具箱：事实核验、内容筛查、语义排序、分类和信息提取。
https://t.co/Ns9tNWB4st

6. SemDecide
把 Jev 做成命令行。Shell 里直接分类、打分、过滤，适合接爬虫、CI 和数据流水线。
https://t.co/KvNFnjINNj

7. jev-codex-router
先让 Jev 判断这一轮编程任务有多难，再决定模型档位、推理深度和速度模式。
https://t.co/XJWyrbzusf

8. Winnow
给 Claude Code 做上下文垃圾回收。Read / Bash / Grep 吐一大堆时，Jev 先判断哪些真和当前任务有关。
https://t.co/cs8CtPcXq8

9. jev-review
代码审查前先过一遍 Jev，把高风险改动挑出来，再交给更贵的大模型或人。带本地看板。
https://t.co/dW0nySEIp2

10. Blink
把 Jev 当代码库导航器。每走到一层目录，就判断哪些文件和当前问题最相关，再继续往下找。
https://t.co/ZuOt4Yvpds

11. agent-desktop
桌面自动化。读系统无障碍树，判断下一步该点哪个按钮、菜单或输入框。
https://t.co/uctY97plME

12. typesafe-mario
让 Jev 玩《超级马里奥》。不看截图，直接读模拟器 RAM 里的结构��状态，再决定跑、跳、躲。
https://t.co/tzAGfK9BBE

13. jev-drone
拿 Jev 控无人机。底层飞控继续负责稳定和安全，Jev 只做爬升、刹车、穿越障碍这类上层判断。
https://t.co/lRZ9LuWc3i

14. OneVOneJev
浏览器里的 1v1 FPS。每个决策 tick 都要判断走位、视角、瞄准、开火和跳跃。
https://t.co/l4iHbyH9uU

15. jev-trader
Monad 测试网上做高频做市。Jev 根据价差和成交方向判断下一步买还是卖，模型延迟大约 81ms。
https://t.co/tGAVNWR98u

16. Prism
不直接让 Jev 下单。它判断 toxic flow、市场压力、均值回归之类的状态，再交给原来的策略。
https://t.co/LP0T9rDAWi

17. neo4jev
把 Jev 塞进知识图谱。每走到一个节点，判断下一条最值得走的边，再一路找下去。
https://t.co/Qy1RUgi8oS

18. jev-curate
拿 Jev 筛训练数据。JSONL / Parquet 先���质量、相关性和风险判断，再决定哪些进后面的训练。
https://t.co/ez9fXeTtEu

19. Canny
防 Coding Agent 嘴硬说自己做完了。看工具输出、代码 diff 和测试结果，再判断完成声明靠不靠谱。
https://t.co/O3OQZ4NZ6Q

20. killmyidea
输入一个创业点子，Jev 从多个维度打分，最后给你 KILL、FIX 或 SHIP。
https://t.co/pR4VkDrz54

[黄赟 @huangyun_122]

兄弟们，这个 GitHub 开源宝库，真神了啊

https://t.co/vcP3Bmbznl

把它嫁接到 Codex 里面，分分钟出视频，日更100条不是痴人说梦

我试了一条天涯的神贴，配上祁同伟的口音，有那个味了

[Andrew Guri @andrewgurio]

Progress Starts With Consistency

[Neo @code_87k]

@tim_cook thanks

[Jason Lee @huacnlee]

Longbridge Lite — Special design for Omarchy

The first app written using GPUI Shell.

- 120 FPS+
- All features are JavaScript, rendered by GPUI.

Now you have see GPUI Shell can do.

https://t.co/rltocD9wZ1

[WeChat @Weixin_WeChat]

Some of the AI in Weixin works quietly behind the scenes.

Meet WeMM-Embedding, a multimodal embedding model developed by our Vision team.

It helps power search and recommendations across text, images and videos — already deployed across Channels, Official Accounts, Moments and e-commerce.

Its 9B model ranked #1 on both MMEB-v2 and MMEB-v3.

Now it’s open source ↓
GitHub: https://t.co/FztiyBFtkV
Hugging Face: https://t.co/KnVhAoIZAG

[余温 @gkxspace]

这篇内容写的太太太详细了！立马按照教程搞一个美国 edu 邮箱😋

有了这个 edu 邮箱，你能搞的东西太多了，如图

[Neo @code_87k]

@hackernews @ycombinator yes

[Ryan Dahl @rough__sea]

Introducing Dactyl

Dactyl is a vibe coding platform for native iOS and native Android apps. What's interesting about it is the device simulator: we've built a SwiftUI renderer in WASM.

This means as you're developing, you get low latency in browser canvas simulation of the app to play with. Also things like oauth flows happen in the browser.

If the app uses the camera - the browser camera API allows us to display it in the simulator.

We also let you connect your ChatGPT subscription so you don't have to buy tokens through us (+ markup)

Through [magic] - we can run the same SwiftUI code the agent writes for iOS in android, with native components.

This is the work of @undefined_void (primarily), @piscisaureus, myself, and others at Deno.

It's built on Durable Objects perhaps unsurprisingly

https://t.co/IeBKwweusN

[黄赟 @huangyun_122]

开源软件 firecrawl 又出新东西了，500页 word 只需 1.7秒全部解析，啧啧~~

https://t.co/urg2h3JggP

[Wibi X @wsiwsii]

给大家看看Codex操作浏览器的速度，我一点没加速。

刚刚把之前做的skills上传到了小红书，嫌麻烦，全都是让Codex自己操作我的浏览器。我把过程录了下来，看的头皮发麻。

[狗哥笔记 @gbroai]

这位日本朋友的审美好好啊
我发现同样的 skill
完全可以做出截然不同的那种效果