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CommunityTools & Integrations210 starsVerified 2026-09-22

Notra

An open-source, commercially hosted generative-engine-optimization platform that uses Jev judgments within a broader application to track brand mentions and placement in AI answers across ChatGPT, Claude, Gemini, and Perplexity.

Category
Tools & Integrations
Published by
Community
Author
usenotra
Added
2026-09-22
Tagscommunitytypescriptpostgresagentsclassification

Highlights

  • Runs buyer prompts across AI engines and compares mention rates, recommendation positions, and share of voice by engine, prompt, and language.
  • Ships a REST API, an MCP server at mcp.usenotra.com/mcp, and the @usenotra/geo traffic SDK with Next.js, Nuxt, Astro, and SvelteKit integrations.
  • The @usenotra/geo SDK distinguishes training crawlers, search indexing, assistant browsing, and human referrals from AI answers.
  • A Bun and Turborepo monorepo of TypeScript, Next.js, React, Hono, PostgreSQL, and Drizzle ORM with a dashboard, public API, docs, and agents.
  • Local development uses Bun 1.4.0, Node.js 24.11.1, and PostgreSQL; the committed migration chain is not a complete bootstrap for an empty database.

Quickstart

bash
bun install
cp .env.example .env
bun run dev --filter=dashboard

Watch out

AGPL-3.0. Commercially hosted and paid; local development needs Bun 1.4.0, Node.js 24.11.1, PostgreSQL, WorkOS AuthKit credentials, and provider keys, and the Jev usage sits within a broader application.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

A 706K-parameter form filler

cua open sourced a 706k param model that fills a whole form in one 50ms pass the llm agent doing the same form took 23 turns and 39.6 seconds the specialists are going to eat the generalists from the bottom

Cua
Cua
@trycua

1/ Introducing CUA-S1: a family of System One Models, small, specialized, and built for computer use. Today we're open-sourcing CUA-S1-FORMS, the first in the family: github.com/trycua/cua

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Navigating Neo4j with Jev

Jev 这个 waitlist 还是很给力的,昨天申请,今天就能用上。 给已经拿到 API、但还不知道怎么玩的人整理了一份 Awesome Jev,目前我能确认到的 Jev 项目基本都在这里: 1. jev-ultrafast Browser Use 做的高速浏览器 Agent。Jev Show more

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思维怪怪
思维怪怪
@0xLogicrw

前 OpenAI 研究员 Diogo Almeida 创办的 TypeSafe AI 推出新模型 Jev。它有点像一个能读懂自然语言的超级分类器,不生成文本,只返回选项、分数和概率,专门给软件做判断。 普通大模型需要一个 token 一个 token 往外生成,Jev 则可以并行给出多个结果。TypeSafe 还用新的 RLCD

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Reranking 33,047 catalog entries

拿 Jev 做搜索重排,我先泼一盆冷水:单独用,它没打赢向量检索 TypeSafe 的 Jev 这阵子很火,一堆项目拿它做重排。我们在 Agent Skills Hub 的 33,047 条目录上认真测了一次,164 条中英文真实查询,9,831 对分级标注,整套只花了 2.6 美元 三个结论 01|单独重排,约等于没赢 Jev 重排 bge-m3 Show more

Jason Zhu
Jason Zhu
@GoSailGlobal

有美团、阿里的老哥嘛? 试试加一路召回、重排(离线、近实时实现),我觉得有奇效 他在文本理解上 跟之前机器学习、llm很不一样 还能自动打标签做特征

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Six uses that stuck after 60 days

Security decisions that fit Jev

This made me rethink where AI actually fits into security engineering. For purely engineering work, forget about ChatGPT or Claude. TypeSafe AI just released Jev, and I think it’s going to change how we build AI into security workflows. Instead of asking an LLM to “investigate Show more

TypeSafe AI
TypeSafe AI
@typesafeai

we are officially out of stealth! join the frontier and get access to Jev on our website (link on profile)

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A million judged questions