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Aravind Srinivas

@AravSrinivas英文区创始人/高管X 主页 数据 9月29日 00:44 — 11月2日 07:06
日均 2.7 条活跃 32 天带媒体 19.6%
帖子
97
活跃 32 天 / 跨度 36 天
中位浏览
3,890
P90 1.3万 · 平均 8,322
互动率
0.8%
中位赞 31 · 最高 865

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 24 条

每周中位浏览

最近 12 周
09-2810-0510-1210-1910-2611-02
峰值 1.8万

发布时间

颜色 = 中位浏览
最佳时段 22:00最佳星期 周二更优形式 带图/视频
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1087
带媒体20%19.5%
回复0%0%
平均字数234191
中位浏览3.7万3,393

打法建议

只陈述相关性
  • 互动最好的时段是 22:00 前后(北京时间),中位浏览 6,315。
  • 一周里 周二 的中位浏览最高。
  • 形式上 带图/视频 的中位浏览更高(3,904 vs 3,844)。
  • 爆款里带媒体占 20%、回复占 0%;日常分别是 19.5%、0%。
  • 当前节奏约 2.7 条/天,日均浏览 8,322。

内容结构

按本站分析的分类(近 120 天)
  • 产品59
  • 模型13
  • 观点9
  • 产业8
  • 论文2
  • tip1
产品更新 · 57Agent · 53部署/工程 · 20多模态 · 13MCP/工具调用 · 13评测/基准 · 11OpenAI · 11开源/仓库 · 9模型发布 · 9大佬观点 · 8推理 · 8行业动态 · 8

形式与语言

帖子占比
  • 纯文字78
  • 视频14
  • 图片5
英文 · 94art · 1qme · 1qst · 1

回复占比 0% · 引用 81.4% · 带媒体 19.6%

互动最高的帖子

按浏览排序
  1. 1

    Perplexity Computer (in Standard Mode with Opus 5.5) is capable of designing and building an end-to-end, browser-based open-world game by renting its own GPUs, running headless Blender, doing procedural design, downloading assets online, and designing audio. Done with ~$2000 worth of credits. Play here: https://vice.pplx.app/

    浏览 11.9万赞 865转 459月29日 22:28原帖
  2. 2

    An opportunity to do research on: continual learning: multi-agent parallel workers; and synthetic data, environments and evals that measure frontier capabilities. We make enough money to fund new research and want to make lasting contributions and share our research openly.

    浏览 7.8万赞 422转 219月29日 00:44原帖
  3. 3

    AI Safety is an engineering problem

    浏览 5.6万赞 527转 279月29日 23:30原帖
  4. 4

    Consider joining our security team if you enjoy breaking systems and building guardrails (and using the frontier AI’s to help you do both). Kyle is awesome to work with and writes a lot of code himself!

    浏览 4.7万赞 401转 199月29日 02:32原帖
  5. 5

    A company is like a car and it will soon feel like a self driving car with the right automations set up. You can do that now with Perplexity Computer. Figuring out the right automations requires a good level of human skill and agency.

    浏览 3.8万赞 329转 139月30日 02:36原帖
  6. 6

    since there’s a lot of chatter on icons.. the OG was this.

    浏览 3.6万赞 508转 129月29日 09:46原帖
  7. 7

    We’re adding Profiles, Skills, and managed connectors to the Perplexity Agent API. A Profile is basically a saved agent where you configure model, instructions, tools, connectors, run settings, all under one versioned ID. A project admin sets it up once and every developer on the project can call it from their own app with the project API key. This helps you avoid copying the same config into every application and updating it in five places when the procedure changes. Skills are versioned so you can ship v2 of a procedure without touching each integration. Connectors (GitHub, Slack, Drive, Datadog, Linear, Notion to start) are configured once by the admin. That way, apps don’t hold their own credentials. Profiles and Skills are live today. Connectors in preview. https://www.perplexity.ai/hub/blog/agent-api-now-supports-reusable-agents

    浏览 3.6万赞 239转 199月29日 08:45原帖
  8. 8

    Multi-Agentic trading on Coinbase

    浏览 3.3万赞 207转 119月29日 23:13原帖
  9. 9

    Computer, visualize earth across 400M years

    浏览 3.3万赞 437转 2811月2日 07:06原帖
  10. 10

    We're opening access to anyone (no Perplexity account needed), and we will run all tasks delegated via email for free for a limited time. Forward or CC computer@perplexity.com to get started, and the agent will complete the task in the background while keeping the email context.

    浏览 1.7万赞 112转 810月1日 02:49原帖
  11. 11

    We’re open sourcing our state-of-the-art contextual embedding models, which perform best in turbopuffer’s context-bench.

    浏览 9,525赞 105转 510月1日 03:19原帖
  12. 12

    Perplexity wins on Hugging Face Decision Index (benchmark for decision models). Our model is open-weights and accessible to all!

    浏览 7,868赞 118转 510月7日 01:25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。