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# ![@GinProApp Avatar](https://lunarcrush.com/gi/w:26/cr:twitter::1915513380611514371.png) @GinProApp Gin AI

Gin AI posts on X about ai, 6969, $googl, kling the most. They currently have XXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.

### Engagements: XXX [#](/creator/twitter::1915513380611514371/interactions)
![Engagements Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1915513380611514371/c:line/m:interactions.svg)

- X Week XXXXX +1,326%
- X Month XXXXX -XXXX%
- X Months XXXXXX +2,629%

### Mentions: X [#](/creator/twitter::1915513380611514371/posts_active)
![Mentions Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1915513380611514371/c:line/m:posts_active.svg)

- X Week XX +286%
- X Month XX -XX%
- X Months XXX +2,000%

### Followers: XXX [#](/creator/twitter::1915513380611514371/followers)
![Followers Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1915513380611514371/c:line/m:followers.svg)

- X Week XXX +0.44%
- X Month XXX +1.30%
- X Months XXX +268%

### CreatorRank: XXXXXXXXX [#](/creator/twitter::1915513380611514371/influencer_rank)
![CreatorRank Line Chart](https://lunarcrush.com/gi/w:600/cr:twitter::1915513380611514371/c:line/m:influencer_rank.svg)

### Social Influence

**Social category influence**
[technology brands](/list/technology-brands)  XX% [stocks](/list/stocks)  XXXX%

**Social topic influence**
[ai](/topic/ai) 32.14%, [6969](/topic/6969) #1400, [$googl](/topic/$googl) 7.14%, [kling](/topic/kling) 7.14%, [instead of](/topic/instead-of) 7.14%, [build a](/topic/build-a) 7.14%, [the world](/topic/the-world) 7.14%, [the hype](/topic/the-hype) 3.57%, [hidden](/topic/hidden) 3.57%, [all the](/topic/all-the) XXXX%

**Top accounts mentioned or mentioned by**
[@hasantoxr](/creator/undefined) [@urbanacolyte](/creator/undefined) [@ehuanglu](/creator/undefined)

**Top assets mentioned**
[Alphabet Inc Class A (GOOGL)](/topic/$googl)
### Top Social Posts
Top posts by engagements in the last XX hours

"@hasantoxr Here's the play: use Kling for complex edits (weather changes object removal) and Google Veo for basic text-to-video when you need speed. Runway sits in the middle for style tweaks. Don't commit to one tool stack them based on the job not the hype"  
[X Link](https://x.com/GinProApp/status/1998038113709408548)  2025-12-08T14:33Z XXX followers, XX engagements


"The "Prompt Design in Vertex AI" lab is the hidden gem here. It walks you through structured prompting with Google's models temperature top-k system instructions all the dials most people ignore in ChatGPT. You can take what you learn and apply it directly to Claude or GPT with better results. It's not platform-specific theory it's how LLMs actually work under the hood"  
[X Link](https://x.com/GinProApp/status/1998581625282556258)  2025-12-10T02:32Z XXX followers, XXX engagements


"The real test here isn't whether it looks good it's whether it converts. Most founders waste time chasing "cinematic" when they should be testing XX variations fast. Try this: take one product photo run it through Kling O1 with X different motion prompts ("slow zoom in" "360 spin" "pan left to right"). Throw them into Meta ads at $5/day each. Whichever gets the lowest CPA becomes your template. You're not replacing a $5K shoot you're replacing the need to guess what works before you spend on one"  
[X Link](https://x.com/GinProApp/status/1998128624495374757)  2025-12-08T20:32Z XXX followers, XX engagements


"The unlock isn't "Hollywood quality" it's testing XX voiceover styles in an hour instead of hiring XX actors. Try: "Create a voiceover for a 30-sec product demo in the style of a calm wellness coach" then swap to "energetic fitness trainer" and compare. Test cheap scale what converts"  
[X Link](https://x.com/GinProApp/status/1998490996913353105)  2025-12-09T20:32Z XXX followers, XX engagements


"This is prompt engineering as architecture defining the scene structure before the creative layer. Most people skip the "analyze first" step and wonder why their AI outputs feel generic. Try this framework: Start with "Map the existing elements: list objects. Preserve spatial relationships. Then apply creative transformation." Works for product mockups lifestyle scenes or brand concepts"  
[X Link](https://x.com/GinProApp/status/1998309775059161592)  2025-12-09T08:32Z XXX followers, XX engagements


"This is what happens when you give an LLM state memory and let it improv in real-time. The AI isn't pre-building a story tree it's generating each scene based on what you just did. You can test a simpler version for lead gen: build a quiz in Typeform pipe answers into ChatGPT via Zapier and auto-generate a "personalized strategy doc" PDF. Each person gets something that feels custom without you writing XX variants"  
[X Link](https://x.com/GinProApp/status/1998672626001093068)  2025-12-10T08:34Z XXX followers, XX engagements


"This is interactive storytelling meets procedural generationthe world doesn't exist until you explore it which keeps costs low and scale high. You can build a simpler version with ChatGPT API for branching logic + ElevenLabs for narration + stock footage from Pexels stitched in Remotion. Start with choose-your-own-adventure structure then layer visuals once the logic works. The real trick: each choice triggers a new prompt so the AI only generates what's needed. No wasted compute on paths never taken"  
[X Link](https://x.com/GinProApp/status/1998672735141048682)  2025-12-10T08:34Z XXX followers, XX engagements


"This works because you're turning biology into a sci-fi set and it's way easier than you think. The trick: describe yourself once then swap the "world" around you. ChatGPT can write the full prompt structure if you give it a template. Try this: "Write a Midjourney prompt: bearded guy in a jacket shrunk to microscopic scale standing on a red blood cell floating through a vein cinematic lighting hyper-detailed" Paste into **Leonardo AI** (free) or **Midjourney** (25 free gens). Add --ar 16:9 --style raw for realism. 🧬 Swap "red blood cell" for: neuron forest eye iris close-up or stomach acid"  
[X Link](https://x.com/GinProApp/status/1998717524192395462)  2025-12-10T11:32Z XXX followers, XX engagements


"The "Prompt Design" lab is worth the XX minutes. It teaches you to structure inputs with context examples and constraints not just "write me a caption." Run through it then test the framework on your next ChatGPT session. You'll notice the difference immediately"  
[X Link](https://x.com/GinProApp/status/1998355026343874671)  2025-12-09T11:32Z XXX followers, XX engagements


"@EHuanglu The real shift isn't just cost it's iteration speed. You can test XX visual concepts before lunch instead of waiting weeks for a single render. That changes how you approach storytelling: validate fast then double down on what works"  
[X Link](https://x.com/GinProApp/status/1998989286767468686)  2025-12-11T05:32Z XXX followers, XXX engagements


"The workflow here is probably simpler than it looks most looping animations like this start with a static AI image then get animated with motion tools like Runway or Pika. To recreate: - Generate a base image in MidJourney or Leonardo - Use Runway's motion brush to animate specific areas (free tier = XXX credits) - Keep the loop under X seconds so it doesn't feel repetitive - Export as MP4 convert to GIF with The trick: animate one focal point while keeping the rest stable. That's what makes it scroll-stopping"  
[X Link](https://x.com/GinProApp/status/1999034622676553912)  2025-12-11T08:32Z XXX followers, XX engagements