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Marcio Lima 利真 マルシオ 💎 ✓

@Preda2005 · Tokyo · joined 22 Jan 2009

🚀 Shaping AI’s future from Tokyo 🇯🇵 🎮 50 yrs of life,play & invention 🤖 Adobe Firefly Ambassador | CPP: ByteDance, Kling,Hailuo 🧠 Creator˖Builder˖Dreamer.

73 082Followers
13 485Following
91 922Posts total
16.3KViews on collected posts

Derniers posts

Dear algorithm, connect me with people who MAKE things. ❤️ Indie devs. Retro game lovers. AI creators. Old-school coders. Board-game designers. Animators. Artists. I don’t care what tool you use. I want references outside my bubble. Old games. New tools. Museums. Hackathons. 1.8K views · 86 likes · 6 reposts · 21 replies Open on X →
This week I saw someone say: “Make the game that makes YOU happy. Make something you would actually have fun playing. Forget everyone else for a moment.” That stayed in my head. So I spent the night throwing ideas around with GPT-6 Astra… and this happened. 🎮❤️ I had way htt
1:05
2.1K views · 47 likes · 4 reposts · 9 replies Open on X →
Thanks my creative friend! 🦾🤖🔥 https://t.co/ayYNS3UYG1
GIF
1.5K views · 19 likes · 1 reposts · 2 replies Open on X →
@Preda2005 @dreamina_ai wow, so thrilling 21 views · 1 likes · 0 reposts · 0 replies Open on X →
@dreamina_ai Prompt Drop ⤵️ 30秒 | 16:9 | 无背景音乐 参考图:@图片1 / Mio、@图片2 / Naomi。全片只有这两位女主角。忽略参考图的白色背景、标签和所有文字。 超写实真人电影,AAA级动作大片,真实演员的表情和喊叫,真实的重量、惯性与破坏,35mm镜头。不是游戏画面,不是动画。 【真实感】 1.4K views · 3 likes · 0 reposts · 1 replies Open on X →
MIO + NAOMI. 💙🧡 Complete opposites. Different energy. Different styles. But together… something just works. And the best part? You’ve only met two of them. The third changes everything. 👀 🎦 By @dreamina_ai ✨ #DreaminaCPP https://t.co/Plvw4k877D
1:23
2.5K views · 46 likes · 5 reposts · 7 replies Open on X →
@Preda2005 Yes, common sense, but unfortunately, we love to talk about it without implementing it. 278 views · 3 likes · 0 reposts · 1 replies Open on X →
💡 Just a quick visual concept of what I mean. Keep the raw JSON download for developers and researchers, but give regular users something they can actually understand at a glance. Which post was affected? What happened to its reach? Why was it flagged? Is the label still https:
311 views · 4 likes · 0 reposts · 1 replies Open on X →
Try it ⤵️ https://t.co/x6Ud7hiub7 166 views · 2 likes · 0 reposts · 0 replies Open on X →
💡 Just to give a real example: I made nearly 1,000 posts last month, and the report tells me that one of them was flagged and had its reach limited. But I still have absolutely no idea which post it was. How am I supposed to understand what I did wrong, learn from it, or 300 views · 12 likes · 1 reposts · 1 replies Open on X →
I really like the idea behind 𝕏's new “Under the hood” feature, but I think it could be much more useful for everyday users. Instead of only offering a JSON download, why not show the report visually right on this page? Show which posts were affected, what label was applied, ht
5.9K views · 41 likes · 5 reposts · 19 replies Open on X →

Face aux comptes de taille comparable

11 posts des 90 derniers jours, à côté de la tranche de 10K–100K abonnés. touche moins de monde que ses pairs, mais les engage bien davantage.

Vues médianes1 357ce compte924médiane pour 10K–100K
Portée, %1.86%ce compte3.62%médiane pour 10K–100K
Engagement, %1.93%ce compte1.52%médiane pour 10K–100K
IndicateurCe compteMédiane pour 10K–100KRapport
Vues médianes par post1 3579241.47×
Portée (vues ÷ abonnés)1.86%3.62%0.51×
Taux d'engagement1.93%1.52%1.27×

Autres comptes de cette tranche →   Comparer avec un autre compte →   Comment ces repères sont établis →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

5.9K19 Sep
300
166
311
278
2.5K20 Sep
1.4K
21
1.5K
2.1K
1.8K21 Sep

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

1.13%19 Sep
4.67%
1.20%
1.93%
1.44%
2.36%20 Sep
0.29%
4.76%
1.44%
2.90%
6.26%21 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes68.6%264 in total
Reposts5.7%22 in total
Replies16.1%62 in total
Quotes1.0%4 in total
Bookmarks8.6%33 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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