@JeremyNguyenPhD Hi professor Nguyen,
I've followed your twitter account for a long time and learned a lot from what you shared. Could you give me an invite code please? Thank you so much!
i just fed NotebookLM a massive amount of iman gadzhi content...
i organized all of it and trained the AI on:
- agency business models that actually scale
- how to land and keep high-ticket clients
- his exact content strategy for building authority
- media buying frameworks that print money
- positioning yourself above the competition
- the mindset + systems that got him to 8 figures
and much more
this AI answers ANY agency/business question using iman's exact playbooks
it references real content with zero hallucinations... just pure, organized knowledge
the info was always there for free but scattered, unorganized, and impossible to consume all at once
i just put it all in one place so you can actually use it
reply 'IMAN' + RT and i'll give you access (must follow so i can dm)
Claude + n8n + Apollo = AI Sales Infrastructure that replaces $10,500+/month sales teams...
(the exact system we've deployed for 9-figure agency operators)
→ No more manual prospect research taking 2+ hours daily
→ No more generic outreach that gets 3% response rates
→ No more SDRs burning through leads with zero personalization
→ No more follow-up sequences dying after message #2
Just one ICP input → autonomous multi-channel outreach machine.
Here's how it works:
→ Apollo Intelligence Scraper (finds perfect-fit prospects automatically)
→ Company Research Engine (enriches with AI-generated insights)
→ Multi-Channel Message Generator (LinkedIn + Email personalization)
→ Unipile Deployment System (sends connections & tracks replies 24/7)
→ Conversation Routing Logic (AI handles responses & next actions)
→ Pipeline Automation (CRM updates without manual input)
→ Follow-Up Intelligence (sequences adapt based on engagement)
Built with autonomous agent architecture.
Runs 24/7 without supervision.
10-minute setup. Insane conversion rates.
Want the complete system blueprint?
Like + comment "OUTBOUND" + repost, and I'll DM it to you.
(must be following)
the creator who's banking $47K monthly from TikTok asked me not to share this automation...
these brain-rot style videos are pulling 10M+ views consistently on TikTok and YouTube Shorts
faceless channels are banking $15K-$50K monthly from this exact format
here's what my n8n workflow does automatically:
- generates viral Peter Griffin & Stewie conversations
- clones their actual voices using AI
- overlays them on Minecraft parkour gameplay
- adds perfectly timed subtitles
- renders complete videos ready to upload
these videos exploit dopamine triggers
the background gameplay keeps viewers glued while the AI-generated dialogue delivers the actual content
it's psychological manipulation at its finest
I spent 40+ hours perfecting this:
- gathering rare audio samples for voice cloning
- training custom AI voice models for both characters
- building the complete automation workflow
- testing render quality and timing
the results speak for themselves
channels using this format are going from 0 to 100K followers in weeks
some are hitting 50M+ monthly views with zero effort after setup
the workflow handles everything:
-content ideation
-script generation
-voice synthesis
- video composition
- final rendering
you literally press one button and get viral-ready content
while everyone's still manually editing videos, smart creators are scaling with automation like this
the opportunity window is MASSIVE right now
these formats are exploding across all platforms
Comment "VIDEO" + repost this + follow me (MUST DO ALL) and I'll send you the complete JSON file plus setup guide
a lot of people will ingore this and last yet another occasion to finally make it
don't sleep on it.
Waterloo is quite experimental and surprisingly young (65 years). Some longtime profs joke that "Waterloo is at risk of becoming a real university". A SUPER interesting case study on institution design. My thoughts:
1. Co-op - Experiential design can't be beat. A month into our first school term, our entire cohort was on the job hunt for the upcoming work term. It flip flops back and forth for 5 years (no summers off), graduating with 6 internships. People like @stephenkinsella taking this model, and applying it elsewhere!
On school terms, the engineering coursework is overloaded to still hit the CEAB minimums around hours & technicality for becoming a certified engineer™️. A bit of a meat grinder but all in good fun
2. Culture - Extremely common and normal for people to be working on projects/hacking on a Friday night, on their own volition or otherwise. @socraticainfo being a outcome of that. We don't have active Greek life or super strong sports culture. Also not unusual for people to be working part/full time jobs on top of school
3. People count - People underestimate the sheer # of people enrolled. The off-stream system allows for capacity for 40,000 students across undergrad/grad. Across engineering + CS, that's ~15,000 students
4. Commercialization policies - Any IP from research done is owned by the individual. This means that profs can, and occasionally do, commercialize their work or advise for companies with relevant tech. A forcing function for more applied work
5. Ecosystem - There's a great ecosystem of alumni, like @jrodgers@thehongwei, that are actively super-boosting students where they can. Having a long history of adjacent tech companies also means you can sit in a @UWVelocity room, and the Blackberry engineer that popularized USB smartphone charging will sit and have a conversation with you.
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