Hyper3D by Deemos ✓
@DeemosTech · 💼Open for Series A+ · joined 26 Nov 2022
Pioneering 3D Generative AI: https://t.co/fXMtbRwlZu Rodin & ChatAvatar: Text/Image to production-ready 3D Assets. https://t.co/SKSMwINQJ6 #CG #3D #GenAI
16 767Followers
809Following
1 725Posts total
1.3MViews on collected posts
Latest posts
Looking for new posts…
@DeemosTech Hi! Loved what you’re building. Would you be interested in working together? 🚀
146 views · 2 likes
· 0 reposts · 0 replies
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(3/3)Several views. One motorcycle.
Agentic Mode reads a multi-view reference sheet as one object, bringing the different angles together into a coherent 3D model.
Bring your references. Let AI make sense of them.
Try it: https://t.co/wFHcmlGqdk https://t.co/ALGpbSf6Ow
904 views · 15 likes
· 0 reposts · 1 replies
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0:08
(2/3)Raise the roof.
Widen the house.
Adjust the chimney.
Agentic Mode generates editable N-GONS models with controllable dimensions and proportions.
Keep refining the building you already created.
Your design, shaped through Vibe Modeling.
Try it: https://t.co/wFHcmlGqdk http
1.3K views · 17 likes
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0:15
(1/3)Generate a 3D hand. Then make it move.
Agentic Mode adds animation presets you can preview and refine in natural language.
Here: a mechanical hand that grasps and makes gestures.
This is Vibe Modeling.
Try it: https://t.co/wFHcmlGqdk https://t.co/Y2TAAwbgha
1.7K views · 22 likes
· 0 reposts · 7 replies
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0:22
🚀 Introducing #HYPER3D Agentic Mode.
AGI optimizes your input and chooses how to model it.
Generate editable N-GONS #3D model for #CAD, building & industrial product.
📏Adjust dimensions. 🏃♀️Add animation.
Towards Production-Ready, to Agent-Ready.
This is Vibe Modeling👇 http
200.6K views · 206 likes
· 27 reposts · 42 replies
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0:34
Here it is moment https://t.co/l3t8pt5QBe
2K views · 20 likes
· 2 reposts · 3 replies
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0:08
GPT-6 + Hyper3D MCP🔥
3D artist @2026Redrum shipped a playable mini game with @OpenAIDevs Codex — in one night🤯
As the slogan says: you can just build things.
Play it ⬇️ https://t.co/ie8aj1PJU1
5.6K views · 53 likes
· 3 reposts · 7 replies
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0:28
@DeemosTech @OpenAIDevs hyper3d can generate the mesh, but topology still decides if it ships
309 views · 2 likes
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@DeemosTech @OpenAIDevs waste of money using astra with a 3d gen mcp...
989 views · 3 likes
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One image. One Agent. One scene.
@OpenAIDevs GPT-6 Astra (Codex) + HYPER3D MCP just showed us the second half of 3D gen. 🚀 https://t.co/ukUAVypnfw
298.4K views · 1.8K likes
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0:26
@DeemosTech @OpenAIDevs It's funny c'uz it looks a like my work:
https://t.co/qRCnIE4hcv
1.4K views · 4 likes
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Copy and paste to your agent:
Please configure Hyper3D MCP in the client I am using (Codex or Claude Code): server name hyper3d, Streamable HTTP URL https://t.co/UiH2SBc7Sk, with OAuth. Use this client's configuration method, preserve other settings, and reuse or update any htt
2.6K views · 5 likes
· 1 reposts · 2 replies
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Introducing Hyper3D MCP 💻
🏃♂️Copy the prompt into @OpenAIDevs Codex Code — and let it generate any 3D model you want.
🔥Perfect for GPT6 Astra. Just paste and go.
🚀Claim MCP-exclusive huge bonus credits + discount ⬇️ https://t.co/qM4FVeipCl
159.8K views · 168 likes
· 21 reposts · 12 replies
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0:23
Introducing #Rodin Gen-2.5🚀
🔥World’s 1st 10 MILLION polygon #3D GenAI — down to skin microstructures.
1️⃣1M-poly in 4s
2️⃣Adaptive thinking effort - just like LLMs
3️⃣3D-native textures, no blind spot
4️⃣Batch up to 10 results
💥Manual BANG to Parts & more...
🚨$1 for first mo!
633.1K views · 977 likes
· 133 reposts · 59 replies
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0:30
Against accounts of the same size
14 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.
Median views1 562this account924median for 10K–100K
Reach, %9.32%this account3.62%median for 10K–100K
Engagement, %0.83%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 1 562 | 924 | 1.69× |
| Reach (views ÷ followers) | 9.32% | 3.62% | 2.57× |
| Engagement rate | 0.83% | 1.52% | 0.55× |
Others in this range → Compare with another account → How these benchmarks are built →
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
159.8K8 Sep
2.6K
1.4K9 Sep
298.4K10 Sep
801
98911 Sep
309
5.6K
2K13 Sep
200.6K21 Sep
1.7K
1.3K
904
146
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.13%8 Sep
0.31%
0.43%9 Sep
0.69%10 Sep
0.25%
0.40%11 Sep
0.97%
1.12%
1.24%13 Sep
0.16%21 Sep
1.69%
1.51%
1.77%
1.37%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes44.9%3 279 in total
Reposts5.5%400 in total
Replies2.4%178 in total
Quotes1.7%125 in total
Bookmarks45.4%3 314 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
14 Sep
Daily snapshots since 14 Sep 2026; the dashed line is the starting count.
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