Gabriel Guinea Montalvo
58 posts

Gabriel Guinea Montalvo
@GabrielGuineaM
Founder @Pillar. Fixing the foundations of construction companies.
Katılım Ağustos 2013
220 Takip Edilen34 Takipçiler
Gabriel Guinea Montalvo retweetledi

🚨 Seedance 2.0 is insane 🎬
But 99% are using it wrong.
So I made a 400+ VFX Prompt Playbook for cinematic AI videos.
💰 $199 value
⏳ FREE for 24 hrs
Want it? 👇
♻️ Like + Repost
💬 Comment “VIDEO”
➕ Follow @Mahfuz_AI (I’ll DM you)
⏰ Closing fast. Don’t sleep on this 🚀

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Gabriel Guinea Montalvo retweetledi

Took me 5 minutes to make this and it’s 100% AI.
I’m not even kidding — this is basically a cheat code.
Script → Avatar → Video
That’s it.
What actually makes it work:
- Strong hooks
- Real-sounding voices
- Fast, scroll-stopping edits
I tested this with 100+ creatives and:
- Made $3.5K+
- Dropped CPA from $37 to $25.40
It’s way easier than people think.
Comment “AI” and I’ll break it down for you
(must be following)
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550 UGC videos a day. Zero lost time. One Claude workflow.
I automated research , competitor mapping, and video generation into a single system.
Here is the system ↓
Scaling content production usually means scaling your influencer roster and your retainer + ads costs. If every brief takes a strategist two hours to build, producing 50 pieces of content requires 100 hours of expensive manual labor. That cuts directly into your profit margins and slows down your scaling velocity.
We completely eliminated this workflow by turning Claude into an automated content generator. Instead of jumping between three different platforms to gather data, we feed our target keywords into a specific prompt architecture. It builds a roadmap, helps generate videos, posts them, and learns from what works best to scale further. The output is a highly structured UGC machine that scales 8 figure Amazon brands.
(I just took an 8 figure Amazon brand from 0 to $200k revenue in 60 days on tiktok shop, Claude helped)
→ Prompt Architecture: The exact instructions we feed Claude to guarantee high-quality outputs.
→ Word Count & Structure Rules: Sets precise parameters so your scripts never miss the mark.
→ Scale Without Tools: Replaces the need for expensive content optimization software subscriptions. Posts videos remotely without shadowban issues 95% of the time.
Comment "ME" and I'll send you the full guide.
♻️ Repost to help someone who needs this

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Most agencies take 4-5 weeks to deliver a landing page.
We ship ours in 48 hours. And they convert at 7.8%.
We built an AI-powered system using @claudeai Opus 4.6 + @framer that handles everything: copy, structure, design specs in a single sprint.
We packaged the entire playbook into a free Notion doc.
Comment "LANDING" + follow and I'll DM it to you.

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Clawdbot + Kling + Manus = 550 videos per day
Fully-realistic UGC ads — cinematic lighting, human motion, perfect pacing — powered by AI agents.
UGC cost: $5
Production time: minutes
Scale: instant
No wasted samples
No lost time
Ultra low CPMs
One AI engine that creates, tests, and scales short-form ads automatically — nonstop.
Campaigns are scaling now.
Comment + RT “AGENT” and I’ll DM you the full workflow.
(Must be following)

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Glad everyone enjoyed my Zelda trailer.
Comments were either:
"this is straight ass"
"i am bricked up rn"
That's the internet.
If you want to learn how to make these, here's the full process in 80 seconds 💪🏼
PJ Ace@PJaccetturo
Nintendo took 40 years to give us a Legend of Zelda movie. I made this in 5 days on a $300 budget. It looks like a $300M blockbuster. Let me show you how I made this in 5 simple steps inside of Freepik: 🧵
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Nano Banana + Fastmoss + Manus + Veo3 = AI Content Factory
We built a fully automated system that repurposes, localizes, and launches winning TikTok Shop content across hundreds of creator-style accounts.
It’s so effective it feels like running Facebook ads in 2008.
- CPMs as low as $0.10
- no reliance on paid ads
- no ghost creators
- no wasted samples
- no lost time
My $300/monthly tech stack which replaced $50k+ budget:
- manus for product research and viral script ideas
- nano banana pro for images
- kling 2.6 for video
- now using my own phone posting network for automated posting
Here’s how it works:
•Each AI Agent spins up a TikTok Shop–ready profile, built to sell my products through shoppable videos.
•Agents are prompted to research the niche, scrape winning TikTok Shop videos, and rebuild them with new hooks, angles, and UGC-style visuals tailored to your brand.
•They create and post daily using my tech stack onto affiliate accounts
No touchpoints. No delays.
Just shoppable videos going live and GMV compounding every week.
Then we use an MPS (Multi-Platform Swarm) approach:
once the concept works on TikTok Shop, we deploy hundreds of AI Agents to flood the niche with variations that all drive back to your Shop and Amazon listing.
I’m giving you access to the full stack — the ai workflow, ready to plug into your TikTok Shop today.
Comment “Agent” and I’ll send you everything.
(must be connected)
PS – Repost for early access to the full TikTok Shop content factory system.

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Gabriel Guinea Montalvo retweetledi

we just raised another $25M after 10x'ing our ARR in 5 months. the crazy part is this almost never happened.
17 years ago, I watched Iron Man as a 10-year-old kid in Delhi. that night, I pulled my first all-nighter teaching myself to code. not because I wanted to build apps or make money.
because I wanted to build Jarvis.
my parents gave me 1 hour of screen time per day. so I coded in secret, sleeping every alternate night through middle school and high school. built 50+ apps. got a cease and desist from Google at age 12.
all for this one obsession: making computers understand us like humans do.
fast forward to today:
- we've raised $81M total to build the voice operating system
- growing revenue 40% month-over-month this year
- 70% user retention after one year (unheard of in consumer)
- teams at 270 of the Fortune 500 use Wispr Flow daily
our Series A2 was led by @hanstung at @notablecap (who was an early investor in five companies that made it to $100B valuation like Slack, Tiktok, and Airbnb). we also brought on @StevenBartlett as an investor and partner.
but here's what matters more than the money:
we cracked voice input. not transcription - actual understanding. our users hit "send" in under 0.5 seconds without checking. they trust it blindly. that's never existed before.
in a recent benchmark, Wispr came out as 3-4x more accurate than OpenAI, ElevenLabs, and Siri.
and we're just getting started. voice input was step one. now we're building the assistant that actually does things for you.
to my co-founder @SahajGarg6 - there's no one else I'd rather build Jarvis with than my college roommate and closest friend.
to our team pulling all-nighters and shipping magic - you're the reason that 10-year-old kid's dream is becoming real.
we're hiring cracked engineers and growth marketers who want to build the future of human-computer interaction.
the keyboard had a good 150-year run.
time to build what comes next.
PS: like, retweet, and bookmark to get wispr flow for free for 3 months ❤️
— Written with @WisprFlow
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you can now replace anyones face in ANY video by using this new recast tool...
this brings about a lot of opportunities to print:
- split-test the same ad with 20 different faces
- find PMF by testing 50 AI influencers
- celeb-style UGC ads
- film your own ads and replace it with another face for anonymity
i made a full guide on exactly how to pull this off, including my process and the required tools
reply "RECAST" + RT and i'll send it over (must follow so i can dm)
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I got rejected by 144 investors before raising $150M for my $200M+ rev/year startup.
After 144 rejections, I started questioning our approach.
Were we solving the right problem?
What were we doing wrong?
Why weren’t investors seeing what we were seeing?
Were we the right team to build this?
We tried everything: different pitch angles, new deck structures, and reframing the problem.
Then came the 145th meeting, where we closed our first growth round.
That yes made everything worth it. But getting there took years of mistakes and hard work.
We went through a lot of trial and error just to figure out what resonates with investors.
We tried dozens of approaches to figure out what made investors engage.
Some landed, most didn't. But each iteration taught us something about what builds conviction versus what just sounds good on paper.
And once we cracked that code, our Series C closed faster than expected.
And today, I see so many founders in the exact same position I was in 10 years ago: grinding through rejections, questioning everything, and trying to figure out what works.
So today I want to give you the resource I wish I had back then:
Something that shows you exactly how to structure these conversations and navigate the entire process
(because the fundraising cycle can be a big distraction and take a toll on you as a founder).
So I've partnered with Notion's Startups Team to create the essential fundraising resource that helps you avoid the mistakes that cost me years.
Here's what you are getting:
• The actual decks I used to raise $150M for Super[.]com (Series B, C)
• 50 real examples from funded startups like Eleven Labs and Artisan AI
• A searchable database of 10,000+ investors - angels, VCs, and accelerators you can reach out to immediately (this alone would take months to build manually)
• An AI-powered fundraising agent built into Notion with step-by-step prompts (no separate ChatGPT needed)
Want access?
• Like and share this post
• Comment "FUNDRAISE"
• Follow me so I can DM you the link
I'll send it over ASAP.
P.S.: If you are serious about fundraising (now or in the future), you should grab it right away.
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