JevScore

A thousands signals. One clear score.

[JevScore @JevScore]

Be part of the beginning. The first minutes move fast. Your research should, too. Introducing JEVS Beta — token intelligence built to turn early noise into clearer signals.

Explore: https://t.co/lVWumWWbIv

[JevScore @JevScore]

We just shipped a major JEV update. ⚡

Fresh design, improved data collection logic, and a more accurate JEV Score.

We’re also now tracking platform visits and token analyses to better understand activity across JEV.

More features are already on the way.

[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 里的结构化状态，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 先做质量、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

[JevScore @JevScore]

Be part of the beginning. The first minutes move fast. Your research should, too. Introducing JEVS Beta — token intelligence built to turn early noise into clearer signals.

Explore: https://t.co/lVWumWWbIv

[JevScore @JevScore]

@Fisher_crypt It's just Beta and the beginning

[JevScore @JevScore]

What a first hour for JEV: over 100 token contracts analyzed, over 1k requests. We’re just getting started.

[JevScore @JevScore]

Most token scanners show you data.
JEV tries to tell you what that data actually means.
One CA → one score.

Launching shortly.

[JevScore @JevScore]

Something fast is coming. Get the signal before the noise. JEV Score [Beta] launches today.

[JevScore @JevScore]

@iswhykay Yes, absolutely. We’re building JEV for the long term. The beta is just the first step—we’ll keep improving it based on real feedback from our users.

[JevScore @JevScore]

Noise is everywhere.

JEV is building an early intelligence layer for tokens — combining on-chain behavior, wallet quality, dev activity, organic traction, social signals and more into one clear score.
See the signal before the move.
JEV is coming. 🟢

[JevScore @JevScore]

We’re getting closer to the JEV beta launch. The pieces are coming together, and we can’t wait for you to try it. Stay tuned. More updates soon. 🟢🔜

[JevScore @JevScore]

We’re getting closer to the JEV beta launch. The pieces are coming together, and we can’t wait for you to try it. Stay tuned. More updates soon. 🟢

[JevScore @JevScore]

OMG! This is just one of many examples of what we hoped to see — and so far, it’s working: now over 81% of long predictions align with a high score. It’s remarkable how quickly JEV helps us make decisions. Thanks @orbiodotso for perfect example 💚🦾 #LFG #JEV #JEVS

[JevScore @JevScore]

Here. It’s about turning JEV’s speed and decision intelligence into a product people and companies can actually use. The vision is much bigger than what we can show today. Some details need to stay private for now, but as development moves forward, we’ll keep revealing more. 💚🚀

[JevScore @JevScore]

This is exactly the direction we’re building around with JEV Score.

Crypto doesn’t need more dashboards — it needs faster decision intelligence.

JEV underneath. 3ms...Signal out! ⚡

[Diogo Almeida @CompleteSkeptic]

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?

I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev

• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions

AFAICT the shortest path to AI-based economic revolution

[JevScore @JevScore]

JEV Score looks at the token before the crowd does.

Wallets. Dev behavior. Bundles. Organic activity. Social quality.

One CA. One score. Less then second to understand the setup.