Le Cinoque retweetledi
Le Cinoque
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Le Cinoque
@LeCinoque
Cinoque cynique regard insolent diction désinvolte
Katılım Ağustos 2023
341 Takip Edilen83 Takipçiler
Le Cinoque retweetledi
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Le Cinoque retweetledi

"OHH NOOO AI IS TAKING MY JOB😭 "
yes AI will take your job… soon
This is how you can get RICH anyway.
from someone making $70k/mo with AI
There's really only 1 way to come out on
Top of the AI gold rush.
DISTRIBUTION
distribution has always been
everything you need.
Even if AI takes all of our jobs.
marketing will never stop being a thing.
more eyeballs = more money
you can now create an AI app or software within a weekend.
but again, anyone can make that same tool,so the only way to win is
by having the best distribution.
as long as you can get eyeballs,
you will be making 5x
the job salary AI took from you.
There’s also tools like Arcads
That make going viral even easier now
it doesn't matter anymore
→if you are chopped
→if you don't have much money
→if you are not good on camera.
you can cook up a video like the one below in minutes
infinite variations of the same "person"
and with a little bit of music and some cuts
you have your AI influencer look life-like.
this is not a theory.
Go on instagram and scroll.
This is a reality now.
but not many people know about it yet.
AI influencers are the most effective way to market your app or software
>They don't sleep,
>They are always sharp
>They are consistent
and they cost less than $100/mo.
so in summary.
→ build an app
→ make 3-5 AI influencers
→ post 300 times/mo with CTA to your app on different accounts
→ get the money from your sales
→ invest into ads.
it can really be that simple
Theres nothing to be scared of,
If you are efficient
Thanks to arcads for sponsoring
my experiments
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Le Cinoque retweetledi

This reddit user got iOS app approved in 7 mins !
Here's the ULTIMATE submission checklist ( Bookmark this to ship):
1/ App Store Connect Setup
> Developer account verified
> Tax and banking info complete
> Agreements signed
> App ID registered with correct bundle identifier
2/ Build Preparation
> Version number follows semantic versioning
> Build number incremented from last submission
> All entitlements configured correctly
> Privacy manifest included (required as of iOS 17)
3/ App Store Assets
> App icon (1024x1024, no alpha channel)
> Screenshots for all required device sizes
> App preview videos (optional but helps)
> App Store description under 4000 characters
> Keywords optimized (100 character limit)
4/ Metadata Compliance
> Age rating questionnaire completed accurately
> Privacy policy URL (required for most apps)
> Support URL active and functional
> Copyright information filled
> Category selection aligned with app functionality
5/ Technical Requirements
> No crashes in production build
> Tested on physical devices, not just simulator
> All third-party SDKs updated to latest versions
> App size optimized (under 200MB for cellular downloads)
> Dark mode support (if applicable)
6/ Privacy and Permissions
> Info.plist usage descriptions for all permissions
> Privacy nutrition label data accurate
> No tracking without ATT prompt
> Data collection disclosed properly
7/ Pre-Submission Testing
> Run through Apple's pre-submission checklist
> Test all in-app purchases (if applicable)
> Verify all deep links work
> Check localizations (if supporting multiple languages)
> Screenshot all features for app review notes
8/ App Review Preparation
> Demo account credentials (if app requires login)
> Clear app review notes explaining non-obvious features
> Contact information up to date
> Test device info if hardware-specific features
The difference between 7 minutes and 7 days?
Preparation.
Most rejections happen because developers skip steps 3, 6, and 8.
Follow for more app development insights.

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Le Cinoque retweetledi

GLM-5, Gameboy and Long-Task Era
→ 700+ tool calls, 800+ context handoffs, and a single agent running for over 24 hours.
blog.e01.ai/glm5-gameboy-a…
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Introducing GLM-5: From Vibe Coding to Agentic Engineering
GLM-5 is built for complex systems engineering and long-horizon agentic tasks. Compared to GLM-4.5, it scales from 355B params (32B active) to 744B (40B active), with pre-training data growing from 23T to 28.5T tokens.
Try it now: chat.z.ai
Weights: huggingface.co/zai-org/GLM-5
Tech Blog: z.ai/blog/glm-5
OpenRouter (Previously Pony Alpha): openrouter.ai/z-ai/glm-5
Rolling out from Coding Plan Max users: z.ai/subscribe

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I have just won 4th place at the @RuneLlamas End of 2025 Giveaway! Thanks Llama and @2lambro from Medium Rare!
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RT @runellamas: The results are finally in!! Congratulations to our winners - Kael, awww0087, headie, lecinoque, and our co-5th placers, bb…
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