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Darshal Jaitwar ✓

@darshal_ · No limit · joined 13 Jul 2024

Daily AI tools & tech insights 📩 Biz: darshaljaitwar8@gmail.com

75 683Followers

199Following

28 998Posts total

2.9MViews on collected posts

Neueste Beiträge

Darshal Jaitwar ✓@darshal_7 Sep

The part I like most? You don't have to rebuild the shot just to render it. Turns out GPT-6 Astra + Dreamina Seedance 2.5 is an actual pipeline. Astra codes the geometry → Blender → Clay Renderer Plugin → final render on Dreamina. With Dreamina's Clay Renderer Plugin, your http

0:10

1.4K views · 29 likes · 7 reposts · 24 replies Open on X →

Darshal Jaitwar ✓@darshal_7 Sep

I'm not sure the future of AI filmmaking is one model doing everything. It might actually be several systems doing different jobs really well, and an editor connecting the pieces. That's how this workflow starts to make sense. #GPT6Astra #AIVideo https://t.co/wZNsLPyIL9

3:30

9.1K views · 41 likes · 13 reposts · 32 replies Open on X →

Darshal Jaitwar ✓@darshal_7 Sep

You found the right job. You have the right skills. You submitted the application. And then… silence. 👀 So what went wrong? Your resume may have been filtered before it ever reached a recruiter. https://t.co/VSfn2sNqrS

22.2K views · 257 likes · 70 reposts · 40 replies Open on X →

Darshal Jaitwar ✓@darshal_6 Sep

People spend $10,000 on bootcamps when everything they need is free. Linux is free Docker is free Kubernetes is free Git is free GitHub is free GitHub Actions is free GitLab is free Python is free Node.js is free Go is free PostgreSQL is free MySQL is free MongoDB is free Redis 52.8K views · 174 likes · 67 reposts · 49 replies Open on X →

Darshal Jaitwar ✓@darshal_25 Aug

@darshal_ @AlibabaGroup @alibaba_cloud Saw this and had to test it myself. Here’s what I got on the first try with Wan 3.0. On https://t.co/CovXw6God8 https://t.co/zB6zskWRdY

0:20

190 views · 5 likes · 0 reposts · 0 replies Open on X →

Darshal Jaitwar ✓@darshal_24 Aug

My biggest takeaway after testing WAN 3.0: AI video is moving beyond “generate a cool clip.” Longer native generation, broader references, better consistency, and detailed rendering make it feel much closer to a real AI video production workflow. Try it here: 3.1K views · 17 likes · 0 reposts · 0 replies Open on X →

Darshal Jaitwar ✓@darshal_24 Aug

The realism is another big one. I tested faces, expressions, movement, and detailed environments, and the focus on preserving small visual details is noticeable. It feels like WAN 3.0 is aiming for visuals that don’t just look AI-generated, but actually feel believable. https:/

0:15

3.2K views · 18 likes · 0 reposts · 2 replies Open on X →

Darshal Jaitwar ✓@darshal_24 Aug

One feature I really wanted to test: native 30-second generation. Instead of constantly stitching together short clips, WAN 3.0 gives you more space to build an actual scene, develop a story, and create smoother visual continuity. This changes the workflow quite a bit. https://

0:30

3.4K views · 19 likes · 0 reposts · 1 replies Open on X →

Darshal Jaitwar ✓@darshal_24 Aug

WAN 3.0’s core video generation is what really stands out. But its all-purpose reference feature adds another useful layer. Images, documents, webpages, and more can become starting points for videos. A practical addition for creators working with existing assets. https://t.co

0:47

3.5K views · 21 likes · 0 reposts · 1 replies Open on X →

Darshal Jaitwar ✓@darshal_24 Aug

Holy Moly.. WAN 3.0 is here 👀 I’ve been testing @AlibabaGroup @alibaba_cloud latest AI video model, and my first impression? This feels like a serious step forward for AI video generation. 30-second native generation, stronger consistency, and much more control over the https

0:30

100.2K views · 262 likes · 66 reposts · 58 replies Open on X →

Darshal Jaitwar ✓@darshal_2 Jun

I just built an entire game world using AI. No game engine. No 3D software. No traditional production pipeline. Just Dreamina Octo + Dreamina Seedance 2.0 creating alongside me in real time. And honestly? It didn’t feel like using a normal AI tool at all. https://t.co/BOLNHlmz

0:41

2.7M views · 693 likes · 109 reposts · 139 replies Open on X →

Im Vergleich zu Konten gleicher Größe

10 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe3 434dieses Konto968Median für 10K–100K

Reichweite, %4.54%dieses Konto3.43%Median für 10K–100K

Interaktion, %0.62%dieses Konto1.91%Median für 10K–100K

Kennzahl	Dieses Konto	Median für 10K–100K	Verhältnis
Medianaufrufe pro Beitrag	3 434	968	3.55×
Reichweite (Aufrufe ÷ Follower)	4.54%	3.43%	1.32×
Interaktionsrate	0.62%	1.91%	0.33×

Weitere Konten dieser Größe → Mit einem anderen Konto vergleichen → Wie diese Vergleichswerte entstehen →

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

2.7M2 Jun

100.2K24 Aug

3.5K

3.4K

3.2K

3.1K

19025 Aug

52.8K6 Sep

22.2K7 Sep

9.1K

1.4K

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

0.03%2 Jun

0.39%24 Aug

0.63%

0.59%

0.62%

0.55%

2.63%25 Aug

0.55%6 Sep

1.65%7 Sep

0.95%

4.39%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.91%.

What the audience does

Likes53.1%1 536 in total

Reposts11.5%332 in total

Replies12.0%346 in total

Quotes0.4%13 in total

Bookmarks23.0%665 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

7 Sep

Daily snapshots since 07 Sep 2026; the dashed line is the starting count.

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