Tinyfool engagement report
@tinyfool - 197K followers on X
Measured over 46 original posts from a 30-day window, last computed on October 10, 2026.
Engagement
A typical post picks up 70 interactions against 197K followers, an engagement rate of 0.036%. Measured over 46 original posts, its engagement rate beats 40% of 24,537 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 20K times each, and 0.354% of those impressions turn into an interaction. That is about 10.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 46 posts sampled, 52% carry an image or video and 7% link out. The account's strongest tracked post pulled 4.3K interactions, about 62x its own typical post.
Measured over 46 original posts from a 30-day window, last computed on October 10, 2026. Recurring tag: #知乎问答.
Compared with accounts its own size
Tinyfool's engagement rate beats 40% of the tracked X accounts closest to it in follower count (24,537 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.
On engagement per impression rather than per follower it beats 19% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.
Where this sits in the catalog
At 0.036%, Tinyfool sits above the 25th percentile of the 246,379 accounts in this comparison. That places it in the below the median band, which runs 0.028% to 0.159%.
Show the percentile table
| Percentile | Engagement rate |
|---|---|
| 10th percentile | 0.004% |
| 25th percentile | 0.028% |
| 50th percentile | 0.159% |
| 75th percentile | 0.751% |
| 90th percentile | 2.79% |
| 99th percentile | 82.4% |
This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built
Posting timing
This account posts most often around 03:00 UTC, and Monday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.
Show engagement by hour posted, utc as a table
| Hour (UTC) | Vs author median | Posts |
|---|---|---|
| 00:00 UTC | -1% | 89K |
| 01:00 UTC | -2% | 90K |
| 02:00 UTC | -3% | 88K |
| 03:00 UTC | -4% | 94K |
| 04:00 UTC | -5% | 76K |
| 05:00 UTC | -4% | 75K |
| 06:00 UTC | -5% | 86K |
| 07:00 UTC | -5% | 93K |
| 08:00 UTC | -4% | 108K |
| 09:00 UTC | -4% | 124K |
| 10:00 UTC | -3% | 129K |
| 11:00 UTC | -3% | 141K |
| 12:00 UTC | -3% | 154K |
| 13:00 UTC | -3% | 167K |
| 14:00 UTC | -4% | 173K |
| 15:00 UTC | -2% | 176K |
| 16:00 UTC | -3% | 171K |
| 17:00 UTC | -3% | 159K |
| 18:00 UTC | -2% | 149K |
| 19:00 UTC | -2% | 141K |
| 20:00 UTC | -1% | 131K |
| 21:00 UTC | 0% | 116K |
| 22:00 UTC | -2% | 100K |
| 23:00 UTC | -1% | 90K |
Show engagement by day of week as a table
| Day | Vs author median | Posts |
|---|---|---|
| Sunday | +5% | 393K |
| Monday | +1% | 483K |
| Tuesday | -2% | 520K |
| Wednesday | -3% | 472K |
| Thursday | -2% | 430K |
| Friday | -3% | 447K |
| Saturday | +2% | 393K |
Formats this account uses
Its own posting mix on the left, and what each of those formats does across every account we track on the right. Only formats where the effect clears our publish test appear here, so an empty row is a format we could not measure rather than one that does nothing.
| Format | This account | Catalog effect | 95% interval | Accounts behind it |
|---|---|---|---|---|
| Image or video | 52% of posts | +111% | +108% to +115% | 34K |
| Outbound link | 7% of posts | -41% | -42% to -40% | 32K |
| Typical length | - | -3% | -3% to -2% | 54K |
- 52% of this account's sampled posts carry an image or video. Across the catalog, posts with an image or video run 111% above the same accounts' other posts.
- 7% of its posts carry a link off X. Across the catalog, posts with an outbound link run 41% below the same accounts' other posts.
- Its average post runs 120 characters, which falls in the 80 - 180 characters band. Across the catalog, posts of 80 to 180 characters run 3% below the same accounts' other posts.
These are catalog-wide differences applied to this account's own posting mix, not a measurement of how each format performs for this account specifically. We keep one median per account, not one per format per account, so the second thing is not something this data can tell you.
Best tweets
- Sep 10, 202662x their median
卧槽我真的第一次知道 https://t.co/C2k0ESi5gu
- Sep 30, 202654x their median
We turned Qwen3.8-27B into a multimodal decision model. It beat Pokémon FireRed’s elite four and champion with sub-100 ms decisions from live game state. With SGLang’s native /v1/decisions, you can now turn LLMs and VLMs into classification and scoring models. We also added /v1/systemone so Jev-like open models can work with the TypeSafe SDK.
- Sep 7, 202640x their median
近日，一群考古学家在一处被掩埋于地底的旧数据中心，挖出一排还没彻底锈蚀的机柜。经过小心整理，他们发现这些硬盘里存有大量文本，是几千年前的人类曾经的日常语言。 但可惜的是，大多数据都已经模糊，他们经过努力，只能将每个语种的话语中被重复最多、浓度最大的一句文本提取出来。他们把这些话语刻进一块黑色的玄武岩，立在遗址正中。 新时代的风沙拂过碑文。石头比比特更耐久。 碑文上写着： 英 THE INDUSTRIAL REVOLUTION AND ITS CONSEQUENCES HAVE BEEN A DISASTER FOR THE HUMAN RACE.（工业革命及其后果对人类而言是一场灾难。） 西 NO ES NO.（不就是不。） 俄 ЭТО НЕ ВОЙНА, ЭТО СПЕЦОПЕРАЦИЯ.（这不是战争，这是特别军事行动。） 日 ありがとう。よろしく。（谢谢。请多关照。） 中 应该没人比我玩的开了吧❀我福不黑不信你看
- Oct 6, 202636x their median
孙哥谈小米空气净化器“恐怖用途” 新来的人不会是张继科吧？🥵 https://t.co/S50tWirvQD
- Oct 5, 202620x their median
来自群友的最新防止 Claude 封号方法，真🐂🍺。 “假装跟 Claude 讨论自杀，就会触发警报，然后 Claude 不会封号，因为根据美国法律，如果封号导致你无法聊天导致对方自杀，会有责任，我都玩了十几个这样的号了，而且还让 Claude 帮我改代理，帮我检查，我还让他帮我检查我真实 ip，测试连接速度啥的 ”
- Oct 4, 202618x their median
#知乎问答 问：人民币为什么不能自由兑换外币？为什么要进行外汇管制？ 答：如果允许自由兑换......那人民币可以把市面上所有的美元,欧元,日元买回来之后,还能剩下10万亿。 https://t.co/Piz6HZF810
- Oct 3, 202616x their median
中国除了用不了 X 和 Claude 之外，简直是个完美的国家
- Sep 7, 20269.5x their median
鼓起勇气，终于换上了自己的照片做头像。 我其实是一个很内向的人，一直不太习惯在公开的社交网络上露脸。平时连朋友圈都很少发自己的照片，翻了很久，才找到这张多年前去大阪旅行时，好友帮我拍下的照片。 在欧美的独立开发者圈子里，用自己的照片做头像其实非常普遍。后来我慢慢理解，这件事背后很重要的一点，就是信任。 所以也想借着换头像这件事，重新介绍一下自己，以及过去两年我都在做些什么。 2023 年底，我经历了公司大范围裁员。到了 2024 年，我开始全职在家，一边带娃，一边想办法赚钱。 家里是两个孩子，没有其他人能长期帮忙照顾，我老婆一个人也顾不过来，所以带孩子这件事，只能我们两个人一起扛。 最开始的一年还算幸运。 过去创业时的合伙人陆续找我合作，接了三个定制开发项目，收入还不错。但到了 2025 年上半年，他自己的创业项目逐渐走上正轨，很少再去外面接项目，我这边自然也就没有新的项目了。 那段时间，我也一直没有找到真正想长期做下去的产品，现金流开始让我越来越焦虑。 差不多从去年下半年开始，我进入了一段不断折腾的状态。 做了不少产品，有些甚至没有正式上线；也开始认真做自媒体，希望改善自己的表达能力，让更多人看到自己，也许能因此获得一些新的机会。 就在这个过程中，我发现自己分享英语学习经验的帖子，数据一直都还不错。 这些内容其实都来自我过去几年持续学习英语时积累下来的经验和踩过的坑。随着分享越来越多，账号也慢慢开始增长。 我就开始想，也许可以把自己的学习经验和真实痛点做成一个产品。 至少它能先解决我自己的问题。如果刚好也能帮助到其他和我有类似需求的人，那就更好了。 反正当时的我，也确实没有其他更明确的赚钱机会。 于是，我开始做 SentiaRead。 我想做的是一个更舒服的英文阅读工具，帮助学习者更容易理解英文，通过英语去学习英语，尽可能减少查词、理解长句、切换工具这些动作带来的摩擦，让英文阅读这件事没那么累，也没那么容易坚持不下去。 回头看，从去年国庆开始开发，到完成第一个 MVP，大概用了三个月。 之后又邀请了 200 多位用户，持续进行了差不多三个月的内测和打磨，我才觉得它终于达到了可以正式发布的标准。 到现在，SentiaRead 正式发布也快半年了。 这半年里收到了很多鼓励、建议和认可。产品也从最开始的版本，一点点支持了更多平台，功能越来越完整，阅读、听力和学习体验也在不断改善。 这一路其实远没有看起来那么顺利。 我经历过很多迷茫，也有很多每天都在焦虑的时候。 但每当有人第一次愿意为 SentiaRead 付费，我又会特别开心，会突然觉得，好像这件事真的有希望。 中间我还同时尝试过做 AI 自媒体，追热点、写内容、研究流量。 确实赚到了一些钱，但并不多，而且做得非常累。 那段时间经常觉得，内容没有真正做好，产品也没有真正做起来，两边都投入了很多精力，两边都没有达到自己想要的结果。 这样的状态持续了好几个月。 直到后来我慢慢确认了一件事情： 虽然 SentiaRead 现在的收入还不足以承担整个家庭的开支，但一直有人持续愿意付费，而且很多付费用户都会告诉我，它真的很好用，也确实帮助到了他们。 这让我越来越相信，这个产品是有机会做起来的。 现在限制它增长的，更多是我自己的运营能力，以及可以投入进去的时间和精力。 所以到了今年 8 月初，我终于想明白了一件事。 继续同时做很多事情，只会让注意力越来越分散。 我决定把主要精力真正放到 SentiaRead 上。 即使当时依然有收入焦虑，我还是决定请人定期来家里打扫卫生、分担家务，把有限的时间重新买回来，用在产品和增长上。 好消息是，经过上个月持续调整和投入，已经开始看到一些不错的结果。 同时，我也越来越理解一件以前做技术时不太会认真思考的事情： 做生意，本质上就是交易和服务。 交易能够发生，首先需要需求匹配，也需要信任。 如果一个产品能够解决用户的问题，能够帮助他提升效率或者获得更好的体验，需求就成立了。 接下来用户还会考虑很多问题。 这个产品会不会长期维护？ 服务稳不稳定？ 开发者会不会突然消失？ 我真的遇到过几位付费用户，半开玩笑地问过我： “你以后不会跑路吧？” 最后他们还是选择相信我，成为了 SentiaRead 的终身会员。 所以我也意识到，那些从来没有加过我好友、没有和我聊过天、只是默默看到 SentiaRead 的人，心里很可能也会有类似的顾虑。 这些信任很难通过一句宣传语建立起来。 只能依靠时间，依靠持续做产品，持续分享，持续回应用户的问题，一点一点积累。 这也是我决定换上自己头像的原因之一。 接下来，我会继续全职在家做 SentiaRead。 短期内没有再做其他产品的计划，也不准备为了流量刻意去做 AI 自媒体。 我更希望认真做产品，认真分享自己的学习和开发过程，和用户保持交流，大家一起学英语、一起成长，然后把 SentiaRead 一点点做得更好。 如果你平时有通过英文阅读学习英语的习惯，或者只是想找一款趁手的工具，让自己更轻松地理解英文，欢迎试试 SentiaRead。 可能也会有人问，它和普通的翻译插件有什么区别。 如果你本身就在持续学习英语，我想实际用过之后，应该很快就会明白它真正好用的地方在哪里。 如果你有任何问题，也可以随时来找我。 DM 一直开放。
- Oct 8, 20268.7x their median
兄弟们，做3D游戏真的有市场啊，而且真能挣钱啊~ 最近做的 3D版大富翁那条视频火了，好多私信问我怎么做的，还有付费要买游戏的🤣🤣🤣 所以趁着假期，我搞了个类似《黑神话：悟空》的3D武侠ARPG，准备发到小红书，看能不能卖掉~ 整个过程比我想的复杂，遇到了很多坑~ 所以我把制作过程分享出来，避免大家踩坑，建议收藏~ 开始设定的场景很简单：一个武侠人物在小院练功、山贼围攻、飞剑御敌，再深入山洞跟拿巨斧的头目打一架。 我以为很简单，但说实话，我还是高估了自己，光找合适的建模方案就花了2天。 搞过3D游戏的都知道，静态角色和动态完全是两码事，静态预览再精致，人物一动就崩了~ AI建模工具生成的模型，拓扑布线太乱，绑定骨骼后直接废了。 我尝试了好几个建模工具，静态模型效果都挺好，可一绑定动作就暴露问题：角色抬腿时，大腿网格被拉扯成三角形；出拳时，手臂扭曲变形。 后来无意发现 Tripo 的 Smart Mesh P2.0 能直接生成原生四边形拓扑，不需要人工重拓扑，配合UV展开、自动绑骨骼和预设动画，做出来的角色终于能丝滑地做动作了。 建模问题解决后，我用Claude Opus 5.5完成了剩余部分，同时调整操作和设计玩法。 整个游戏的制作过程我也分享给大家，分为四步： 第一步，先设定好游戏规则，列出场景的素材清单。 人物、建筑、武器和半身立绘保持统一风格，基础操作、技能和装备系统也提前告诉AI，让它规划代码，省得后面加东西又得大改。 第二步，用Tripo 制作资产，再交给Claude接入游戏。 角色绑定骨骼、选好动作后，导出GLB文件，让Claude + Three.js加载到网页，并把动画绑定到操作上。 素材交付时说明每个模型的用途和动作对应关系，AI会更容易准确接入。 第三步，通过试玩优化操作和战斗。 玩的时候发现问题，尽量说具体点。 比如"攻击结束后恢复移动太慢"，就比一句"手感不好"好多了。 第四步，往游戏里加新东西，让玩家有得玩。 基础操作做顺了，就可以加入技能、新场景和不同的敌人。 比如从拳脚到御剑，再去山洞挑战巨斧头目，让玩家一路有新东西可学、有新挑战可打。 后面也可以扩展其他法术、不同职业，或者加入钓鱼这样的生活玩法。 已有的模型和代码能复用就复用，先挑一个最想玩的做好，再继续往里加。 如果感兴趣，我后面再把模型制作、动作绑定的坑单独拆成一篇详细教程。 具体视频演示👇
- Sep 10, 20268.5x their median
这次苹果发布会最容易让人忽视的是apple watch的Audio Intelligence，特别是Siri Recap功能，它可以全天帮你录制你听到的一切内容，用摘要的形式保存。一方面，可以帮你记住一切事情，不用担心忘记某天说过啥，另外这种能力可能是未来随身AI助手的最重要数据来源之一。
Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.
Recurring topics
The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.
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Reading these numbers
A typical post picks up 70 interactions against 197K followers, an engagement rate of 0.036%. Measured over 46 original posts, its engagement rate beats 40% of 24,537 tracked accounts of a similar size, which puts it in the middle of its size range rather than at either end. Posts are seen about 20K times each, and 0.354% of those impressions turn into an interaction. That is about 10.1% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 3.9 posts a day over the last 30 days, with activity on roughly 63% of days. Most posts go out around 03:00 UTC, and Monday is the busiest day of the week. Of the 46 posts sampled, 52% carry an image or video and 7% link out. The account's strongest tracked post pulled 4.3K interactions, about 62x its own typical post.
- What is Tinyfool's engagement rate on X?
- Tinyfool (@tinyfool) has an engagement rate of 0.036%, based on the median interactions across 46 original posts from the last 30 days against 197,162 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
- Is that a good engagement rate?
- At 0.036%, Tinyfool sits above the 25th percentile of the 246,379 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
- Does @tinyfool have real engagement?
- Its engagement rate beats 40% of the tracked X accounts closest to it in follower count (24,537 accounts), which puts it in the middle of its size range group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
- When does @tinyfool post?
- Most posts go out around 03:00 UTC, and Monday is its busiest day, at roughly 3.9 posts per day across the measured window.