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Replit ⠕

@Replit英文区官方团队X 主页 数据 9月29日 00:30 — 11月3日 06:48
日均 2.3 条活跃 26 天带媒体 48.8%

粉丝与涨粉

快照 11月3日 · 7 日榜 272 个账号可排
粉丝
24万
7 日涨粉
+12
0% · 发帖 20 条
7 日名次
#237
中文区 —
30 日涨粉
—
快照还不够 30 天
10-06每日涨粉(20 次快照)11-03

本期浏览最高的帖子

  1. 1

    Self-driving doesn’t mean sacrificing security. Our proposed Agent Habitat architecture combines security boundaries, lessons from real failures, and a maturity scale with testable evidence for evaluating agent environments. Here’s what that looks like ↓

    浏览 1,934赞 13转 110月29日 01:16原帖
  2. 2

    Becoming self-driving means giving more people the ability to contribute while keeping security controls and engineering oversight in place. Replit brings together isolated execution, protected credentials, admin controls, audit logs, and engineering review workflows.

    浏览 1,735赞 7转 010月29日 00:49原帖
  3. 3

    Clarisse's tool, built entirely on Replit, saved the finance team 150 hours in a year. She saw a problem and built a custom-tool to solve for it, transforming the way she worked with teams and stakeholders. An operational challenge turned into an opportunity to be self-driving.

    浏览 1,684赞 11转 110月31日 00:21原帖
  4. 4

    Here's what launched last week: • Contribute to your company codebase with Cloud Agents, available to anyone in the company and reviewed and approved by engineers • Message and create new chats with Agent • Try GPT-6.1 Terra in the model selector More at our changelog: https://docs.replit.com/updates/2026/10/30/changelog

    浏览 1,596赞 7转 311月3日 01:11原帖
  5. 5

    W̶a̶i̶t̶i̶n̶g̶ ̶f̶o̶r̶ ̶b̶e̶t̶t̶e̶r̶ ̶c̶o̶m̶p̶a̶n̶y̶-̶w̶i̶d̶e̶ ̶t̶o̶o̶l̶i̶n̶g̶ Building your own connected, secure solution

    浏览 1,552赞 2转 111月3日 06:48原帖

同期站内报道里提到它

近 7 天的公开报道里没有按名字提到它的。

本周涨粉观察

全部观察

每周一生成;中文区、7 日涨粉超过 1000 的账号会有条目。

帖子
84
活跃 26 天 / 跨度 37 天
中位浏览
1,190
P90 1,929 · 平均 1,691
互动率
0.6%
中位赞 6 · 最高 99

发布节奏

最近 12 周
09-28
10-05
10-12
10-19
10-26
11-02
柱状图,最大值 21 条

每周中位浏览

最近 12 周
09-2810-0510-1210-1910-2611-02
峰值 5,832

发布时间

颜色 = 中位浏览
最佳时段 01:00最佳星期 周二更优形式 纯文字
036912151821
一
二
三
四
五
六
日
少多

爆款 vs 日常

爆款 = 浏览前 10%
指标爆款日常
帖子975
带媒体33.3%50.7%
回复0%0%
平均字数245331
中位浏览6,8941,146

打法建议

只陈述相关性
  • 互动最好的时段是 01:00 前后(北京时间),中位浏览 1,376。
  • 一周里 周二 的中位浏览最高。
  • 形式上 纯文字 的中位浏览更高(1,187 vs 1,220)。
  • 爆款里带媒体占 33.3%、回复占 0%;日常分别是 50.7%、0%。
  • 当前节奏约 2.3 条/天,日均浏览 1,691。

内容结构

按本站分析的分类(近 120 天)
  • 产品40
  • 观点14
  • 产业11
  • tip2
  • 论文1
Agent · 42产品更新 · 41部署/工程 · 17其他 · 14大佬观点 · 12行业动态 · 11MCP/工具调用 · 9Microsoft · 7编码 · 7安全/对齐 · 4OpenAI · 4教程/实践 · 3

形式与语言

帖子占比
  • 纯文字43
  • 视频30
  • 图片11
英文 · 75日文 · 3无语言 · 3es · 2art · 1

回复占比 0% · 引用 19% · 带媒体 48.8%

互动最高的帖子

按浏览排序
  1. 1

    Noni knew she wanted to create an interactive learning app for her students. She didn’t know that app would get 1.4K downloads overnight, helping students outside of her classroom, too. This is the story of how Noni created a world of play and learning without ever knowing how to code. Made by Noni. Made on Replit.

    浏览 9,702赞 74转 79月29日 03:00原帖
  2. 2

    Shipped. At lightspeed. 🚀 Heres the latest you can do in Replit: - Build apps for @Meta Quest VR - Create Replit apps through @Muse - Link payments with @airwallex - Build with new models: GPT-Sol 6, GPT-6 Luna, Opus 5.5 - Chart data and gain insights directly through chat - For Enterprise: Request and control access within workflows More at our changelog: https://docs.replit.com/updates/2026/09/25/changelog

    浏览 7,571赞 99转 99月29日 00:30原帖
  3. 3

    Ask a question. Get a chart, a pipeline, or a working automation back. Just Ask Replit is a deep dive on the future of knowledge work: real-time data, visualization and automation, all inside the agent chat. No dashboards to build. No engineering queue. Tuesday, 9 AM PT. Live on YouTube, LinkedIn and X. https://x.com/i/broadcasts/1AGRnZyVQLgGl

    浏览 7,481赞 33转 69月29日 04:59原帖
  4. 4

    London feels like the right place to build our European hub. The city’s mix matters: artists, founders, filmmakers, finance, and the birthplace of computing. What makes it work is the people. Different backgrounds. Same energy.

    浏览 7,005赞 46转 59月30日 00:02原帖
  5. 5

    Just Ask Replit: Exploring the Future of Knowledge Work (Live Deep Dive) https://x.com/i/broadcasts/1AGRnZyVQLgGl

    浏览 6,894赞 17转 39月30日 00:00原帖
  6. 6

    This is intelligent model routing.

    浏览 6,579赞 29转 19月30日 03:48原帖
  7. 7

    Replit is now available on Meta Muse. ✔️ Your next app starts with a conversation. Connect Replit, tell Muse what you want to create, and bring your idea to life. https://replit.com/partners/meta

    浏览 6,528赞 38转 19月30日 03:44原帖
  8. 8

    Models keep getting smarter. But the harness doesn’t disappear. Instead, its job shifts from making decisions for the model to giving it options. In Replit Agent, the main agent decides when to think harder, when to hand work to a subagent, and how much effort that subagent should spend.

    浏览 5,832赞 26转 29月30日 07:55原帖
  9. 9

    Self-driving doesn’t mean sacrificing security. Our proposed Agent Habitat architecture combines security boundaries, lessons from real failures, and a maturity scale with testable evidence for evaluating agent environments. Here’s what that looks like ↓

    浏览 1,934赞 13转 110月29日 01:16原帖
  10. 10

    Companies that become self-driving will force an existential choice on their competition: change how you work or watch competitors do what you can't. Let people drive decisions. And let agents execute on the work, with clear goals and boundaries.

    浏览 1,918赞 20转 310月27日 01:25原帖
  11. 11

    Becoming self-driving means giving more people the ability to contribute while keeping security controls and engineering oversight in place. Replit brings together isolated execution, protected credentials, admin controls, audit logs, and engineering review workflows.

    浏览 1,735赞 7转 010月29日 00:49原帖
  12. 12

    Clarisse's tool, built entirely on Replit, saved the finance team 150 hours in a year. She saw a problem and built a custom-tool to solve for it, transforming the way she worked with teams and stakeholders. An operational challenge turned into an opportunity to be self-driving.

    浏览 1,684赞 11转 110月31日 00:21原帖

点赞、转发、浏览是采集那一刻的快照,不是帖子最终数据;时间为北京时间。KPI 卡片里的同比只在账号有 8 周以上数据时显示, 否则只看近 4 周。“打法建议”只说明数据里的相关性,不代表因果。