Going to regret giving away so much sauce...
I took this store from 0-$500k/month in under 5 months
I recorded the full breakdown, including the part nobody talks about and what I'd do differently.
Like + RT & comment "SCALE" and i'll send it over
(must be following)
cleared ~$487k with a product image system like this recently
most brands make amazon creatives way too slowly
one listing image
one benefit graphic
one lifestyle angle
then they sit on it for weeks
wrong approach
the real edge is speed
take one product
use claude to map every buyer angle:
clean energy
sharp focus
zero crash
better performance
refreshing taste
daily routine
social proof
ingredient trust
then turn each angle into a full amazon image stack
hero image
benefit tiles
ingredient breakdown
usage graphic
lifestyle scenes
review proof
same can
different reason to buy
that’s how you stop guessing what message will convert
you test multiple visual promises fast
then let amazon data show which one deserves more traffic
rt + comment “listing” and i’ll send the full setup
(follow for dm)
En japon, los hinchas esperan al semaforo en rojo para juntarse a festejar por las calles de shibuya y cuando se vuelve a poner verde, se corren para que pasen los autos kjj
I’m pulling $48K/month from affiliate commissions using a method that requires:
- No team
- No filming
- No editing
Just AI avatars reviewing e-com products & dropping 100+ videos/day on autopilot.
If you're ready to roll up your sleeves and actually build something, you're in the right place.
I put together a complete guide with everything inside so you don't have to search all over the internet for answers.
Follow & Comment “AFF” and I’ll DM you the playbook.
R.I.P. Fable 5.
Perplexity + Reddit + Opus 4.8 = AI SDR that still booked a $20B hedge fund.
(38% reply rate. 30 qualified meetings a month. 0 SDRs hired.)
This system reads 1,000+ companies every morning and only writes to the ones already in buying motion...
→ No more $200K/year SDR payroll for manual account research
→ No more 10,000 cold emails for a 1% reply
→ No more bought lists going stale in weeks
→ No more guessing who's actually ready to buy
→ No more openers that read like templates
Just 1 morning run → the 30 accounts worth calling today.
I built it around one rule: never depend on a single model to run.
Opus 4.8, GPT 5.5, Mythos, Fable 5 — there will always be a new LLM.
Today the US government proved why. The system didn't notice.
Here's how it works:
→ ICP Intelligence (Perplexity does a month of buyer research in 15 minutes)
→ Account Radar (reads 1,000+ companies every morning, keeps only the matches)
→ Buying Window (3 live triggers per account: a raise, a key hire, a launch)
→ Buyer Language (lifts your buyer's exact 5 phrases off Reddit, nothing reads like a template)
→ Voice Match (drafts a 3-line opener off that signal, in your voice)
→ Orchestration (Fable runs the whole pass and hands you the 30 to call today)
Built on real outbound infrastructure.
Model-agnostic. Runs every morning without supervision.
Government bans included.
Results from my own pipeline:
- Reply rate from 1% to 38%
- 30 qualified meetings a month, 0 SDRs hired
- A $20B hedge fund and a $15B fund booked
- $340K in new pipeline last quarter
Want the complete build?
Like + comment "RECON" + repost, and I'll DM it to you.
(must be following)
After 13,000+ hours of obsessive testing, I finally built the LinkedIn Revenue Infrastructure.
(the exact system behind 70K+ leads, 30M+ views, and a $140K/month business)
→ No more posting daily with 0 DMs
→ No more profile views that go nowhere
→ No more comments dying without a follow-up path
→ No more warm leads going cold because you forgot to reply
The money was never in the content. it was in the layer around it.
So I documented the full system. Here's what's inside:
→ Profile Architecture Map (turns your profile from a resume into a trust path)
→ Proof-Led Content Lanes (post types that build trust, proof, and buyer intent)
→ Buyer-Intent Asset Architecture (lead magnets that feel expensive and create intent before the DM)
→ Public Signal to Private Qualification (the path from comment to real sales conversation)
→ Buyer Signal Scoring (know which views, comments, and saves are worth acting on)
→ Follow-Up Memory (stay present with warm leads without sounding scripted)
This isn't a content calendar.
It's the revenue layer around the content.
Comment "CLIENTS" + repost this + follow me
(I'll DM you everything)
A 92-year-old woman in the UK was diagnosed with liver cancer and told that treatment would be impossible.
Researchers then offered her an experimental procedure called electrochemotherapy. The treatment reduced her tumor by 80%, ultimately saving her life.
JUST IN:
🇨🇳 China is building the world's largest and most powerful astronomy base, investing over $550 million in massive telescopes and advanced facilities. It will become operational by 2030, the project will significantly expand humanity's ability to explore the universe