Catchafairone retweeted
If I was forced to make $30K per month with ecom online in 30 days starting from zero — here's exactly what I would do:
Days 1-3: Pick the right category Not the most exciting one. The most defensible one. Something where the buying decision has a strong trust component — supplements, kids products, beauty, pet, health-adjacent. Anything where a real person saying "I use this and here's why" collapses the consideration cycle immediately.
Days 4-7: Build the product Not from scratch. Find a white label manufacturer. Target 80% gross margins minimum before you spend a dollar on marketing. If the math doesn't work at 80% gross margins — pick a different product.
Days 8-10: Build the subscription offer 100% subscription only. No one time purchases. 50% off month one — this is the single highest converting offer structure I have ever tested across two 9-figure businesses. Price at a premium. $10 signals $10 quality.
Days 11-15: Find 25 micro influencers Mommy bloggers if it's a kids or family product. Health creators if it's wellness. Pay flat fees. Get real testimonial content. Expect 10% to convert. Kill the other 90% fast.
Days 16-20: Whitelist the winners Take the 2-3 influencers performing best and run their content as paid ads from their handle. This is where the real leverage is. Whitelisted influencer creative outperforms brand-owned creative every single time.
Days 21-25: Text every new customer personally Every single subscriber gets a personal text within 24 hours. Not a bot. Not an automated sequence. A real human introducing themselves and offering to help. This one decision will define your retention curve.
Days 26-30: Double down on what's working Kill every channel that isn't converting. Pour everything behind the 1-2 things that are. Raise prices the moment you have proof of demand.
$30K in 30 days is not guaranteed.
But this is the exact playbook that took us to $103M annual revenue and a $260M exit.
The only difference between $30K and $103M is time and compounding.
Comment "X" if you want me to send a full playbook of everything I learned while building my business and how you can too :)
**must be following + retweet to receive the DM.
Catchafairone retweeted
This is the easiest way to start getting AI citations for little to no $
My Universal Fan-Out Query Prompt Template FORCES Claude/GPT to hand you 100 queries people are already searching for using LLMs..
The prompt is grounded in a 4-phase audit that ENSURES it pulls real commercial queries instead of hallucinating or guessing (like most paid tools or half-ass prompts)
This framework pulls from:
- Google autocomplete queries
- "People Also Ask" questions
- "Related searches" and "People also search for" blocks
- Live AI Overview or AI Mode output for a seed query
- Reddit, Slack community, or forum thread titles
- G2 / Capterra / TrustRadius comparison slugs and review filter facets
- Competitor comparison page H2s and their /alternatives, /vs, /pricing URLs
- YouTube video titles ranking for the seed
- Existing ranking page titles in the top 10
Like, Repost and Comment "LLM" so I can send you access via DM 🔥
Catchafairone retweeted
After working with 600+ home service businesses I can tell you exactly where most of them are bleeding money on marketing.
I put the whole playbook into a free Marketing Roadmap.
The local SEO moves that actually generate calls.
Which marketing channels are a waste in 2026.
The GBP strategy most companies completely ignore.
I built this for our clients but I'm dropping it publicly tonight.
Like this
RT this
Comment "ROADMAP"
I'll DM you the link.
Catchafairone retweeted
A GTM engineer built an entire outbound function with Claude Code in one weekend.
Used a second monitor just to keep the terminal open next to his CRM.
First week: 6 booked calls. Starting setup: one CLAUDE.md file.
Total calls booked since: dozens, running every week without him touching the pipeline manually.
Here's how it works:
The setup reads CLAUDE.md before every session.
Skills fire automatically based on what he asks.
MCP servers connect the whole stack, no manual exports.
The edge is context + automation.
While most GTM engineers re-explain their ICP every session, his setup already knows it.
No re-briefing. No rebuilding prompts. No tab-switching.
Just Claude Code logic running the pipeline in the background.
He built the entire setup in a weekend:
→ CLAUDE.md as the project brain
→ 7 GTM skill blueprints installed
→ MCP servers connecting his CRM and inbox
→ Hooks automating quality checks without asking
The system runs every day he opens the terminal.
Every session picks up exactly where the last one left off.
Most people are still re-prompting Claude from scratch, copying context between chats, rebuilding the same report by hand.
Meanwhile this GTM engineer runs his entire pipeline by letting Claude Code do what humans keep re-doing: hold context across every session.
Why are people still starting from a blank terminal every morning?
I'm giving away the exact Claude Code setup for free.
Comment "GTM"
Like and Repost
I'll DM you the complete setup.
Catchafairone retweeted
I made $3k yesterday from organic affiliate marketing.
$0 spent on ads.
Read that again.
You don’t need a massive following.
You don’t need thousands of dollars to test offers.
You need to find something people already want and get it in front of them.
That’s it.
Lucky for you, Glitchy has tons of low-friction offers for products you already see every day.
So the only thing left to master is distribution.
And that’s something I can help you with.
I put my entire A-Z organic affiliate system into a PDF.
It has everything you need to start making your first $1k as a complete beginner.
RT + comment “ME” and I’ll DM it to you.
(must be following for DM)
Catchafairone retweeted
Gemini Omni just made AI creatives accessible to almost everyone.
until now, being an AI creator meant paying for tools like Higgsfield.
great quality…
but expensive if you’re just getting started.
Gemini Omni changes that.
you can create:
→ UGC ads
→ story ads
→ product demos
→ animation ads
for a fraction of the cost.
if you’re doing affiliate marketing, that’s huge.
instead of spending your budget on creatives, you can spend it testing more angles, more offers, and learning what actually converts.
it might not replace premium tools completely, but it’s one of the best ways for beginners to start creating AI ads without burning through their budget.
If you’ve been thinking about starting, this is the perfect time
rt + comment “omni” and i’ll send you the creative workflow i’m using.
(must be following for dm)
Catchafairone retweeted
AI ads have reached a point where it outperforms traditional UGC on both cost AND quality
you can create everything and anything with it and the only thing stopping you is your creativity
realistic UGC videos, ai animations or mix of both together (this one performed suprisingly well for us last month)
for over a year now we've been using it across all my and our clients' offers, 100% legal, without deepfaking anyone or risk of being sued
i cracked the code to create videos that look real, stop the scroll, convert like crazy, and are easy to automate
i'm finally sharing my FULL system with you, here's what you're getting:
- all the prompts im using
- full step by step playbook from zero to edited ad
- how i create them in less than 15mins and $2
- how to automate full pipeline and scale even more
RT + reply 'ADS' and i'll send you the step-by-step system (must follow so i can dm)
Catchafairone retweeted
a lot of questions about the prompt so i uploaded everything into one doc
- prompts
- photos (with prompts)
- full workflow
rt + reply w/ “prompt” and ill send it to you (must follow so i can DM)
Seedance is INSANE for creating AI ads and organic content
this video is 100% AI and was created by one of my community members using our new system
there are literally no limits to the ideas you can bring to life now
and it’s literally impossible to tell the difference between AI-generated videos and real footage
these ads convert incredibly well on both paid and organic traffic
Catchafairone retweeted
i’ve been rebuilding our clients’ ENTIRE pitch decks with Claude Opus 4.8… and their close rates have never been the same
if you’re still winging every sales call or showing shitty offer docs…
this guide + prompt library was made for you
it covers every psychological stage your buyer must go through to say “YES!” after hearing your price
covering in detail EVERYTHING from:
- the "what makes this shit sexy" pre-build framework:
the 5 documents you feed claude before running a single prompt (skip this and the output is generic garbage)
- the mirror slides prompt:
gets claude to open the deck with the prospect's exact words from discovery instead of a category description of their problem (specificity IS the empathy)
- the root cause reframe prompt:
shows the prospect why their previous 2-3 attempts failed without shaming them, sets your mechanism up as the thing that addresses what the others missed
- the mechanism prompt:
forces every slide component to describe what it DOES to the root cause, zero deliverable lists (deliverable lists make buyers calculate whether items are worth the price, outcome framing makes them calculate whether the result is worth it)
- the matched social proof prompt:
extracts the right case study from your stack by business model, revenue range, and primary pain so proof lands as a mirror not a testimonial
- the loss aversion bridge prompt:
uses only the numbers the prospect named in discovery to calculate their monthly cost, accumulated cost, and 90-day cost if nothing changes, presented neutrally so it can't be argued with
- the investment reveal sequence:
exact speaker notes for naming the price, going silent, and what to say while the payment link is open
- the follow-up asset prompt:
a 1-2 page personal message (zero headers, zero bullets) that closes 31% of the maybes who didn't sign on the day within 14 days
all backed by my experience of placing 170+ sales reps responsible for $10M+ in client rev
like + comment "DECK" and i'll send this notion doc your way
(must be following + RT for priority access)
Catchafairone retweeted
After working with dozens of hyper-growth startups and enterprise companies in 2026...
I mapped 250+ GTM motions into ONE schema.
Because the best teams don't run GTM as a funnel at all.
They run it as a flywheel, where every channel feeds the next one.
Pour everything into traffic and you keep losing leads out the bottom, because nothing nurtures or recaptures them.
That's a broken bucket you keep refilling with more and more traffic.
That said…
This is the same base schema we use to map out every client's GTM motions.
I cleaned it into a standalone playbook because that leak is the same one almost everyone has:
• 4 traffic channels to attract eyeballs at the top
• 8 ways to capture contact info before they leave
• 10 nurturing plays to build trust between touches
• 6 on-site components that drive the conversion
• The qualification + retention loops that feed traffic back in
You don't have to activate every path.
But at least 1-2 should be running.
Reply FLYWHEEL and I'll send you the full playbook.
(MUST BE FOLLOWING)
PS - it covers all 6 stages, not just the traffic channels everyone already knows.
PPS - REPOST this and I’ll prioritize your DM.
Catchafairone retweeted
R.I.P. Fable 5
Claude + ChatGPT + Gemini + Mistral = a model-agnostic B2B system that routed every task to the right tool and still closed a $340K pipeline quarter.
(4 tools. 12 prompts. 1 routing framework. 0 wasted tokens.)
This system reads every incoming task every morning and only sends it to the model that will actually do it well...
→ No more paying Opus rates for tasks Haiku handles at a fraction of the cost
→ No more cold email copy that sounds like AI because you used the wrong model
→ No more EU client data going to US servers when Mistral exists
→ No more re-explaining context in Microsoft 365 when Copilot already has your files
→ No more single-model lock-in when a better one ships next month
Just 1 decision framework → the right model for every task today.
I built it around one rule: never depend on a single model to run.
Claude, ChatGPT, Gemini, Mistral — there will always be a new LLM.
The teams routing by task already knew that. Their system didn't notice when the rankings changed.
Here's how it works:
→ Decision Framework (one routing tree tells you which model before you open a prompt)
→ Claude layer (analytical writing, agentic workflows, cold email copy, Claude Code skill stacks)
→ ChatGPT layer (Microsoft 365 via Copilot: Outlook, Excel, Teams, SharePoint in context)
→ Gemini layer (Google Workspace native, 1M token context for contracts and archives)
→ Mistral layer (EU data residency, GDPR compliant, n8n and Make via API)
→ OpenRouter (one API key, one invoice, route every task without changing code)
Built on real B2B sales infrastructure. Model-agnostic. Routes every morning without manual decisions.
Results from applying this framework:
- Cold email reply rate: from generic AI output to copy that actually sounds human
- 12 copy-paste prompts across all four tools, ready to drop in today
- EU-regulated client data handled compliantly without changing the workflow
- A routing decision that takes 30 seconds and saves hours of wrong-model output
Want the complete build?
Like + comment "Models" + repost, and I'll DM it to you.
(must be following)
Catchafairone retweeted
your competitors are spending hours creating content, growing their audience, and building a pool of engaged qualified buyers
and then ignoring 95% of them
every comment section on a competitor's post is a goldmine of warm leads who self-identified as interested in your exact topic, are active on linkedin, and will never hear from your competitor again
so i documented the ENTIRE system for using manus AI to scrape their best content, extract warm leads from their comments, and reverse-engineer the exact strategy driving their growth
here's what's inside:
→ the manus prompt that finds your top 5 competitors automatically
(linkedin URLs, follower counts, positioning descriptions. saves 2-3 hours of manual research.)
→ the content extraction system that maps their top 10 posts by engagement in one prompt
(hooks, comment counts, post types, topics. formatted as a table you can act on immediately.)
→ the pattern analysis that turns raw data into a competitive content brief
(hook structures, pain points referenced, best-performing formats, CTA patterns. this would cost $5k from a research firm.)
→ the lead extraction prompt that pulls 50-200 warm ICP-qualified leads from a single post's comment section
(name, profile URL, job title, company. filtered for decision makers. 15 minutes instead of 3 hours.)
→ the content pillar mapping + gap analysis that tells you exactly where to position against all 3 competitors
(what they all cover, what nobody covers, and the contrarian positions that would differentiate you instantly)
→ the 30-minute weekly maintenance routine that keeps the intelligence current
→ every manus prompt consolidated in one reference sheet you can copy and run today
all backed by $950k+ added to our clients' MRR through linkedin inbound funnels.
like + comment "SEND" and i'll DM you the full playbook
(must be following + RT for priority access)
Catchafairone retweeted
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)
Catchafairone retweeted
i should probably gatekeep this but f*ck it:
just finished training an AI agent on frameworks we used to book 100s of b2b calls and drive $4.8M+ in pipeline revenue
and i turned it into a software that tears apart your cold outreach sequence based on our 5M+ email database
100% backed by our internal SOPs + claude opus 4.8
here's everything it does:
→ rips through your opener line by line and tells you exactly why prospects never make it past the preview
→ checks whether your copy matches your prospect's awareness stage (the agent flags every mismatch between your language and your ICP's reality)
→ audits your specificity, CTA strength, follow-up structure, and multi-channel coordination against principles extracted from 50+ client accounts
→ tells you where the sequence is leaking and exactly why (weak hooks, repeated angles across follow-ups, aggressive CTAs that trigger the delete reflex, missing social proof placement)
→ generates 3 stronger openers you can test immediately
→ rewrites the entire sequence into a version tuned to book qualified calls instead of collecting silence
→ works across every funnel type: straight pitch, lead magnet, cold loom, intent signal, enterprise multi-stakeholder, linkedin DMs
if you still doubt this agent, it's trained on the same outreach frameworks behind:
→ 4.1% reply rates on straight pitch funnels
→ 52 calls/mo from 220 dream prospects
→ 59 calls booked in 16d case studies
like + comment "SOFT" and i'll send you the link
(must be following + RT for priority access)
Catchafairone retweeted
just finished training a custom built AI agent on 100s of linkedin posts that generated $2.8M+ in B2B revenue for our clients
and i decided to turn it into a FREE app that audits your post like a $10k/mo account strategist would
here's everything that it does:
→ tears apart your hook and tells you exactly why it's losing attention in the first 2 lines (weak hooks kill 90% of posts before anyone hits "see more")
→ audits the structure, CTA, awareness stage targeting, and emotional triggers against frameworks validated across 50+ active client accounts
→ tells you what's working and what's silently killing your reach (based on principles extracted from our internal guides and SOPs)
→ generates 3 stronger hook variations based on what actually performs for your niche and audience
→ rewrites the entire post in a more optimized version you can copy and post immediately
→ gives it an overall rating (pushing you to improve every single time)
reminder, this is trained on the same content frameworks behind:
→ $48k MRR added in 120 days
→ 672 booked calls in a single month
→ 12,000 comments on one lead magnet
like + comment "AUDIT" and i'll send you the link
(must be following + RT for priority access)
Catchafairone retweeted
I just recorded a 35-min video on how to sell $100K+ AI solutions into underserved market segments that literally no one is pitching right now
The exact strategy to leverage credibility and consistently close sophisticated buyers
Even if you have no case studies, experience or track record
RT + follow & comment "VIDEO" and I'll send it to you
Catchafairone retweeted
if you were wondering what market to sell AI to, wonder no more.
This is a clear ICP map of your options
Comment “ICP” and i’ll send you a guide of exactly how to sell AI to these businesses
(must follow + rt so i can message you) (:
Catchafairone retweeted
147 Leads in 15 Days From Cold Email Alone.
No ad spend.
No crazy tools.
No bloated funnels.
Just a system that did three things well:
• targeting locked on people already ready to buy
• messages that made replying the easiest option
• inbox infrastructure that actually landed the email
Most teams send cold emails.
We ran it like a machine.
Press send → conversations start → pipeline fills.
147 leads later, the pattern is pretty clear.
If you want the breakdown (filters, scripts, angles, iterations):
Comment “150” + Repost and I’ll send you the playbook.
(must follow for DM)
Catchafairone retweeted
after booking 59 calls in 16 days for a b2b agency
i’m leaking the ENTIRE cold outreach system that made it all possible
like + comment “B2B” for a 128-page copy/paste guide about it
(must be following + RT for priority access)
Catchafairone retweeted
I found a way to sell AI infrastructure to companies doing $2M-$50M/year.
ALL with no sales team, enterprise connections or cold calls.
Businesses are desperate for Ai implementation right now and anyone can do this.
But most people get it wrong and that's why they fail.
They lead with tools, ex) "we build automations" or "we integrate AI."
That means nothing to a CEO managing 40 people and $5M in revenue.
They pitch features instead of showing the cost of doing nothing.
And they price hourly, so the buyer treats them like a freelancer instead of a partner.
Mid-market and enterprise companies are bleeding $100K-$500K/year on broken processes, bloated SaaS stacks, and manual work they don't even realize they're paying for.
They WANT to buy AI infrastructure, they just don't trust most people selling it.
Because most people selling it sound like every other agency.
I created a guide breaking down exactly:
→ How to position AI infrastructure so executives actually listen
→ The discovery framework that turns a 30-min call into a $25K-$100K project
→ How to calculate ROI so the price sells itself
→ The 3-pillar strategy process that closes 60%+ of qualified prospects
→ Why "sell the map before you sell the build" changes everything
RT + reply "INFRA" and I'll send you the FULL guide (must follow so I can DM)
