发布节奏
最近 12 周每周中位浏览
最近 12 周发布时间
颜色 = 中位浏览爆款 vs 日常
爆款 = 浏览前 10%| 指标 | 爆款 | 日常 |
|---|---|---|
| 帖子 | 4 | 32 |
| 带媒体 | 25% | 31.3% |
| 回复 | 0% | 0% |
| 平均字数 | 114 | 159 |
| 中位浏览 | 6.3万 | 3,597 |
打法建议
只陈述相关性- 互动最好的时段是 05:00 前后（北京时间），中位浏览 2.1万。
- 一周里 周四 的中位浏览最高。
- 形式上 纯文字 的中位浏览更高（3,750 vs 4,039）。
- 爆款里带媒体占 25%、回复占 0%；日常分别是 31.3%、0%。
- 当前节奏约 1.3 条/天，日均浏览 3.1万。
内容结构
按本站分析的分类（近 120 天）- 观点13
- 产品12
- 产业6
- 模型2
形式与语言
帖子占比- 纯文字25
- 图片10
- 视频1
回复占比 0% · 引用 69.4% · 带媒体 30.6%
互动最高的帖子
按浏览排序- 1
What’s happening in the AI-powered reverse engineering and decompilation is absolutely insane. Pretty soon all software will be de facto open-source. AI is coming for everything and everyone.
- 2
Math was bound to fall first. The purer the field the easier it is for AI to crack.
- 3
Full conversation here: https://youtu.be/YgYiF86h0yU?is=PtLNBN9teD2WXdWW
- 4
That’s because Replit is not a consumer app. Most of our creators are building businesses or working on one.
- 5
The US is catching up on open-weights models.
- 6
Desktop AI apps are great but expose users to supply-chain attacks and catastrophic mistakes by agents. We’re building a powerful desktop experience with focus on security & reliability. Excited to partner with @Microsoft on this and be an early adopter of @nvidia’s OpenShell.
- 7
Really proud of how many family-run businesses are powered by Replit.
- 8
“Promote my app on tiktok”
- 9
Coding agents on employee or contractor laptops are a massive cyber and national security risk
- 10
To clarify: Replit remains model agnostic. Our users can choose Anthropic models as well as many other supported models. What I meant at TC Disrupt is that OpenAI is now our preferred partner powering Agent based on performance, cost, and strength of our partnership. We believe in giving our users model choice while optimizing the default experience for the best performance at the best price.
- 11
Designers’ contribution to the codebase.
- 12
Software ate the world, now it's learning to run it. https://x.com/i/article/2114767897239375872
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。