HalaiChetan
2.9K posts
Stop rebuilding ads from scratch.
I turned winning 6–10s Meta hooks into structured 30s ads in minutes—manually shaping hook, bridge, proof, payoff.
- Lock the hook
- Control pacing + visuals per scene
- Generate multiple angles from one concept
- Scale without reshooting
No Frankensteined edits.
No weak middles.
Comment “VEO” for the system.
(must be following)
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HalaiChetan retweetledi
@sama Comms advice: Never respond to playful humor with an essay.
Just say “damn, they cooked us” or make a joke about them.
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Networking is garbage - This is the only way to build a real network
Paul Graham@paulg
Someone asked about tricks for meeting eminent people. I said the best plan is just to do really good work. Then you'll tend to meet them organically. In the worst case you'll see one whenever you look in the mirror.
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HalaiChetan retweetledi
Hire out of pain. Don't hire because you think you'll need someone soon or maybe sometime later. Wait until you or your team are actually hurting: working weekends, missing family dinners, dropping balls. That pain is the signal that the role is real. I learned this the hard way after watching founders (including myself) hire ahead of need and end up with people in roles that weren't fully formed yet. When you hire out of pain, you know exactly what the job is because you've been doing it yourself. You can evaluate performance because you know what good looks like. And the new hire knows you'll step back in if they fail, because you were just doing it last week.
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Product videos take me 90 seconds now.
Built an automation in partnership with Arcads that generates unlimited professional product videos on autopilot.
AI writes promotional scripts, picks the perfect avatar, and creates studio-quality videos automatically.
Used to spend $200-$500 per video working with creators.
Now I test 20 different angles in the time it used to take to book one shoot.
No filming. No actors. No waiting weeks for deliverables.
Comment "ARCADS" and I'll DM the automation to you (must be following)
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HalaiChetan retweetledi
most agencies charge $100K+ to build what I'm about to give you for free...
here's what you're getting:
ENTERPRISE CONTENT SYSTEMS:
• Context-Engineered LinkedIn Agent (exact system → 35K followers + Fortune 500 inbound)
• Multi-Platform Content Intelligence Engine (1 idea → 15+ deploy-ready pieces)
• AI Visual Creation Systems (used in BCG pitches and VC decks)
Voice Consistency Framework (sounds exactly like you, not generic AI slop)
SALES INFRASTRUCTURE:
• Signal-Based Outbound System (10x capacity vs. cold outreach)
• AI SDR Architecture (books meetings while you sleep)
• Context-Driven Prospecting Agent (enriches + qualifies automatically)
• Follow-Up Intelligence System (adapts based on prospect behavior)
PRODUCTION-GRADE WORKFLOWS:
• 3,000+ n8n automations (cold outreach, SEO, content creation)
• 7,000+ Make workflow templates (operational automation)
• Enterprise AI Prompt Library (100+ commands that outperform $500/hr developers)
• Lead Enrichment Engine (capture → qualify → activate)
FRAMEWORKS THAT CLOSED FORTUNE 500:
• Context Engineering Methodology (how to make AI understand your business at cellular level)
• Infrastructure Positioning System (stop selling services, start deploying systems)
• Enterprise Proposal Architecture (exact templates that landed BCG)
basically everything you need to build context-aware infrastructure while your competitors still hire $15K/month agencies
this is the exact arsenal behind:
• $70-80K/month recurring revenue
• 50K+ leads generated from one post
• Fortune 500 clients (BCG, enterprise accounts)
• 30M+ organic views across platforms
I've spent 11 months and $127K+ testing these systems in the wild
you're getting the complete operational playbook
the same infrastructure powering 6-figure operations and global developer teams
like + comment "VAULT" + repost (must be following so I can DM you the complete arsenal)
deleting this in 48 hours because I'm genuinely giving away too much
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MIND-BLOWN: Found the craziest N8N AI automation…
This system converts ANY concept into trending AI videos automatically.
Zero manual work. Zero hiring. Zero headaches:
→ Brainstorms content concepts via ChatGPT integration
→ Generates insane visuals through Veo 3 + FAL API (think: Dragons doing cooking tutorials)
→ Handles lip-sync, animation, rendering & file storage automatically
→ Records every prompt, description, video link + scene data in Google Sheets
→ Can merge multiple clips into extended content
→ Primed for instant publishing across TikTok, Instagram, YouTube & more
Entire system runs on n8n automation. Zero human intervention needed.
Like + reply “VIDEO” & follow me @ZayvenKnox
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Found the product video script cheat code everyone's sleeping on.
Built an automation that generates 5 different video scripts for any product in under 30 seconds.
Each uses a proven angle: problem-solution, social proof, before-after, feature-benefit, challenge-overcome.
Then I plug them straight into Arcads AI Product Showcase with my product images and get professional videos with AI avatars in minutes.
Used to spend 15-20 minutes per script guessing which angle would work.
Now I test all 5 and let the data tell me what converts.
Comment "SCRIPTS" and I'll DM it to you (must be following)
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HalaiChetan retweetledi
My 2026 AI predictions podcast with @reidhoffman—LinkedIn cofounder, Microsoft board member, and former OpenAI board member:
Reid’s spiciest predictions:
- If you’re not recording every single meeting and using agents to amplify your work process, it’s going to feel like using a horse and buggy vs. a car.
- AI becomes the scapegoat for everything—electricity prices, eggs, jobs. Most blame will be wrong, but some real impacts will also start hitting. This will make the discourse uglier.
- No major AI player will have a major stumble. It will continue being a close horse race. But OpenAI will learn how to play catch up instead of always playing with a lead.
- 10x to 100x more people will have their computer doing work for them while they’re out doing other things—agents break out beyond coding.
- Apple continues to be behind in AI and the gap will be “stunning.”
Dan’s spiciest predictions:
- Programming trifurcates into three skills: traditional engineering + AI, vibe coding, and a new third thing—agentic engineering (think highly technical engineer with 4 Claude Code tabs open at once, never looking at code).
- OpenAI realizes it is missing the most valuable coding market because they’re stuck in the innovators dilemma: caught between serving traditional engineers + AI, or agentic engineers.
- Creation becomes the new addiction as the dopamine hit of making things with Claude Code and other tools starts to spread.
AI commandments that are most likely to be broken this year:
- Interpretability: We’ll allow models to communicate with each other in non-human readable formats, and it will work.—Reid
- Alignment: We’ll realize that more disagreeable AI that forms its own opinions are quite useful as autonomy increases. This will be more likely as orchestrators get better—the orchestrator can deal with the pain-in-the-ass model, instead of the user.—Dan
Reid’s pick for most underrated AI category in 2026:
Biology. There’s a chance we find a “move 37” in bio this year.
Watch below!
Timestamps:
Introduction: 00:00:52
The future of work is an entrepreneurial mindset: 00:02:20
Creation is addictive (and that’s okay): 00:05:22
Why discourse around AI might get uglier this year: 00:09:22
AI agents will break out of coding in 2026: 00:17:03
What makes Anthropic’s Opus 4.5 such a good model: 00:24:18
Who will win the agentic coding race: 00:28:46
Why enterprise AI will finally land this year: 00:36:13
How Reid defines AGI: 00:43:16
The most underrated category to watch in AI right now: 00:55:33
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HalaiChetan retweetledi
The first truly open-source audio-video model.
LTX-2 is a DiT-based foundation model with all core video generation capabilities in one unified model.
Designed to run locally on consumer GPUs.
- text-to-video
- image-to-video
- and video-to-video modes
100% open-source.
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This n8n agent tracks your competitors' Facebook ads on autopilot 🤯
And drops a full AI breakdown in Slack every morning.
Hooks. Offers. CTAs. Formats.
All waiting for you before your first coffee.
Perfect for e-comm brands & agencies who refuse to get outspent blindly.
Here's the problem:
Your competitors are testing 20+ new ads a week.
New hooks, new angles, new offers.
By the time you manually check the Ad Library, you've already missed the testing window.
The winning creative is scaled. The moment is gone.
This n8n automation stays on it for you:
→ Runs every morning automatically
→ Scrapes competitor ads via Foreplay API
→ AI analyzes each new ad (hook, CTA, offer, format)
→ Full breakdown delivered to Slack
→ Flags patterns and winning angles
No manual Ad Library checks.
No "wait, when did they launch that?"
No falling behind while you're busy running your own ads.
What lands in Slack every morning:
- Every new ad from competitors you're tracking
- AI breakdown of what hooks they're testing
- Offers and CTAs they're pushing
- Patterns in what's getting spend
Built 100% in n8n.
Want the full workflow?
> Comment "SLACK"
> Like this post
And I'll send it over (must be following so I can DM)
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HalaiChetan retweetledi
find out if your ngmi or cracked
uvx cursor-wrapped
to get your Cursor 2025 Wrapped🎁
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I just found a Shopify brand publishing 20 AI-generated ads per day 🤯
They've got 900+ ads live in their Facebook Ad Library right now.
So I pulled everything and broke down exactly how they're doing it.
Perfect for DTC brands & media buyers who want to scale creative without the creator headaches.
Most brands are grinding to push out 10 new creatives a month.
But Meta's new AI algorithm demands NEW creatives.
This brand is shipping 20 AI UGC ads daily.
Testimonials. Unboxings. Demos. Lifestyle content.
All AI-generated. All scaling.
What I found when I dug into their Ad Library:
→ 900+ total ads running
→ AI-generated video across every creative
→ Same product, dozens of different hooks and scenarios
→ Multiple angles tested every single day
→ Clear patterns in which creatives are getting spend
I recorded a full Loom breaking down:
→ The AI tools they're using
→ Exact creative formats that are scaling
→ Hook structures they keep repeating
→ How they're keeping brand consistency with AI talent
→ How to replicate this for your own brand
Want the full breakdown?
> Comment "SCALE"
> Like & bookmark this post
And I'll send the Loom over (must be following so I can DM)
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I just found an app that is genuinely unhinged.
You describe an n8n workflow in plain English
and it builds the entire thing for you.
Before anyone jumps in with
“here we go, another Claude / AI hype post”
This is not that.
This thing is actually better for automation than Claude.
Why?
Because it has live, up-to-date n8n documentation baked in.
Not half-broken examples from 2024.
Not hallucinated nodes that don’t exist.
It understands every node, every integration, every weird edge case
the same way a senior automation engineer would.
I literally typed:
“Scrape competitor prices and automatically undercut them”
Less than 20 seconds later
I had a fully built, deploy-ready workflow.
No debugging.
No missing auth.
No “why the hell is this webhook failing?”
Meanwhile someone else is still:
Googling error messages
Reading GitHub threads from 2022
Paying €5K to a consultant to duct-tape the same thing together
The scary part?
People using this are already:
Building
Testing
Shipping
multiple automations per day
While others are still stuck on step one.
This isn’t “AI helps you code”.
This is AI replacing the entire automation build process.
And yeah a lot of consultants are about to have a very uncomfortable year.
I’m not gatekeeping this.
Comment “N8N” and I’ll DM you the link.
(Follow required so DMs work)
The automation game just shifted, permanently.
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These are literally the kind of LLM interview questions most candidates wish they had seen earlier.
A curated list of LLM interview questions - shared by Hao Hoang
Want this doc?
Follow @techNmak and comment “LLM” - I’ll send it over.
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These vibe-coded apps make $180K/month.
With the smallest making $3k/month all the way to $90k/month.
In this video, I go through each and analyzed what make each work (or not work).
So you can replicate these strategies in your own apps.
Comment and I'll DM you the full video.
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