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JEE SIMPLIFIED 🧠

JEE SIMPLIFIED 🧠

前往频道在 Telegram

Join the chat group - https://t.me/+S7DRfpYwNa82OTc1

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📈 Telegram 频道 JEE SIMPLIFIED 🧠 的分析概览

频道 JEE SIMPLIFIED 🧠 (@jeesimplified) 英语 语言赛道中的 是活跃参与者。目前社区聚集了 34 216 名订阅者,在 教育 类别中位列第 5 482,并在 印度 地区排名第 11 519 位。

📊 受众指标与增长动态

自 невідомо 创建以来,项目保持高速增长,吸引了 34 216 名订阅者。

根据 29 九月, 2026 的最新数据,频道保持稳定运转。过去 30 天订阅人数变化为 -577,过去 24 小时变化为 -22,整体触达仍然可观。

  • 认证状态: 未认证
  • 互动率 (ER): 平均受众互动率为 9.78%。内容发布后 24 小时内通常能获得 3.45% 的反应,占订阅者总量。
  • 帖子覆盖: 每篇帖子平均可获得 3 349 次浏览,首日通常累积 1 180 次浏览。
  • 互动与反馈: 受众积极参与,单帖平均反应数为 28。
  • 主题关注点: 内容集中在 jee, pain, bhai, so60, aspirant 等核心主题上。

📝 描述与内容策略

作者将该频道定位为表达主观观点的平台:
“Join the chat group - https://t.me/+S7DRfpYwNa82OTc1”

凭借高频更新(最新数据采集于 30 九月, 2026),频道始终保持新鲜度与高覆盖。分析显示受众积极互动,使其成为 教育 类别中的关键影响点。

34 216
订阅者
-2224 小时
-1217 天
-57730 天
帖子存档
语音消息02:22

Been A while since I have been able to talk to you guys I hope you are improving day by day. Behind the scenes, we are aiming to gather best of specialists and hustlers to make the platform exactly the way you want it to be. It’s tough, specially the finance part. Lastly we had to use our savings to survive until funded. But we know we’ll win because those who build for the people they care about, those who build to solve a real problem will eventually hit the target Effort with pure intentions never fail.

Hi

A Shoutout to @donotag A big thank you to Anukar for helping us identify and report several critical bugs in Solve Arena. Your feedback has genuinely helped us make the platform better for everyone. Fun fact: He's been into coding since 7th grade, just passed Class 12, and will be joining a Tier-2 college this year. You can Check out his portfolio: anukar.dev Thanks again, Anukar! Wishing you all the best for your journey ahead.

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photo content

He asked one sharp question: does this student's performance actually match what we'd expect from them? That's where the mode
He asked one sharp question: does this student's performance actually match what we'd expect from them?
That's where the model comes in. Item Response Theory, running quietly in the background, tracking three things at once, how good each student is, how hard each question is, and the odds they'll get it right. Then comes the test. 80,000 submissions, one calculation for every student: what actually happened, against what the model predicted. The honest ones land near zero, wins and misses balancing out exactly as expected. But a few break the pattern. They keep solving questions they statistically shouldn't, and the gap keeps growing. The result: thirty students, performing far beyond anything their history could explain. One was predicted to solve seven hundred and eighty. He'd solved nine hundred and sixty. The system doesn't flag high scores. It flags what the data can't explain.

Good night guys, Make sure to burn brighter tomorrow. Will read all ur replies Kal properly.

语音消息02:50