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15 contributions to Selling Online / Prime Mover
Solved a classic bottleneck of content creators
8 hours/week repurposing one YouTube video → clips, captions, posts, formatting → classic creator bottleneck Built a simple content repurposing system. Input • 1 long-form YouTube video Output • 5–7 short clips (IG + LinkedIn optimized) • Platform-native text posts for: – Instagram – LinkedIn – X – Skool • Everything formatted, stored, and ready to schedule No manual editing. How the system works The video transcript is pulled once Then the system runs two parallel tracks: Track 1 — Video clipping • Finds high-signal moments • Generates short clips • Tracks processing status • Notifies when assets are ready Track 2 — Text repurposing • LLM analyzes the transcript • Rewrites content per platform • Different tone, structure, formatting for each • No copy-paste syndication • Actual platform-native posts All outputs are aggregated, stored, and tracked. Time math Manual process: • 8 hrs/week • 32 hrs/month • ~$5,120/month (at $40/hr) Automated process: • ~30 min/week • Review + minor tweaks only For those creators who don't need: “AI strategy” or “content hacks” but need: • A mapped workflow • Clear time leaks • Boring automation that gives hours back
1 like • 9h
@Leigh Mariotti If you talking about posting the same reel on yt and other platforms, yes I do have
1 like • 9h
@Leigh Mariotti store ig reels in a database (eg, airtable). Super simple> use an automation for auto posting the same video on yt. That should be the process. If you want, you can get my system for that
How I’d add $80k–$200k/mo extra in a B2B CRM
How I’d add $80k–$200k/mo extra pipeline in a B2B CRM (Note: works if you close high-ticket deals only) No fluff. Just the system. Step 1: Signal-based lead generation You don’t need more leads. You need leads showing intent right now. Real examples: IT companies posting about a breach → cybersecurity firms reach out within 24 hours Recruiting agencies posting job openings → staffing automation vendors jump in same day SaaS companies hiring sales reps → sales enablement tools get ahead of the ramp Pull signals from Apollo, Sales Nav, Clay, Exa, public directories — wherever your ICP lives. Then enrich. Get their actual inbox, not a catch-all. Step 2: Hyper-personalized icebreakers Stop sending: “I saw you’re doing great things at [Company]…” That’s lazy. Use real context: their LinkedIn activity their website changes the signal that triggered outreach Example: “Hiring 3 SDRs this month—before adding headcount, thought I’d share: we’re helping teams generate 17× SDR output with AI systems focused strictly on ICP. Worth a quick chat if it adds $20k+ to your pipeline?” Takes 15 seconds per lead with a solid system. Now your team can hit 100 targeted leads/day, not 20 generic ones. Step 3: Emails that de-risk the decision Every email should prove 3 things: They have the pain (reference their situation) You solve it (clear, ROI-driven offer) You’re the safest vendor (proof, credibility, relevance) Short, sharp, human. And de-risk them: “We work on performance. No output → no invoice.” “If we don’t hit X, I work for free until we do.” Make them visualize the pain… and the version of their business once you remove it. Step 4: 4–5 follow-ups (each with new value) Most teams quit after 2 emails. That’s why they lose. Send 4–5 follow-ups, but each must deliver new value: Case study from their vertical Insight pulled from their recent post A quick win they can implement today Peer benchmark data A pain reframed in ROI terms These convert cold leads into warm ones.
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Got a tire-kicker from skool. Sharing a lesson I learnt the hard way
Don’t be that nice guy on socials... Even on LinkedIn. Got a lead from Skool. He said he liked my posts on AI sales systems. Even mentioned the $40k CRM lift I talk about. Cool. I’ve been burned by tire-kickers before, so I decided to qualify first. Asked a few direct questions. Replied late (2-3d later). Vague (not understandable). Clearly AI-generated answers. No signal. No clarity. No ownership. Then out of nowhere: “You know… I can tell your posts are AI-generated. Your services and pitch are all over the place. But let’s see. This is what I need…” Then he pasted my own posts back to me like evidence. Cringe. I replied politely and clarified: I use Claude.ai to format. Stories, insights, experience = mine. Anyone who actually reads can tell. His response? “You disqualified yourself. If you post something, you should know exactly what you offer. Sales 101.” I was done. Not angry. Not defensive. Just clear. “I’m good, brother. I don't know what I post about, what I offer, who I am!” A lesson I learned the hard way: Tire-kickers don’t just waste time. They quietly mess with your confidence. They poke. They project. They test you without ever intending to buy. And if you’re too “nice,” you’ll entertain them longer than you should. This isn’t about starting wars or dunking on people. (Although platforms like X, admire controversies) I keep conversations respectful. But I’m also raw with boundaries now. If someone can’t: – answer clearly – respect your work – engage like an adult They’re not a prospect. They’re noise. The faster you spot them, the more energy you save for people who actually matter. "Being kind doesn’t mean being available to everyone." Share if you've a same sort of story.
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Got a tire-kicker from skool. Sharing a lesson I learnt the hard way
Built a robust outreach agent. Grab the sauce
Last month I pivoted to code-based agentic workflows. Built a full outreach engine — complex logic, multiple data sources, a ton of edge cases. Where n8n took months to finish and iterate (ofc it was the first shot). Recently pivoted fully customizable, robust, python based agentic system. Worked “good enough” on first run. A week of tightening. Then parity with the old system — and more flexible. No magic. Just speed. Phase 1 — Manual: lists, research, inbox tab juggling. A single SDR burning 20+ hours/week doing robot work. High cost. Zero leverage. Phase 2 — AI-assisted (2023 → early 2025): AI was a fast but flaky junior. You still needed humans to chain, correct, and babysit workflows. Phase 3 — Agentic AI (now → next 10 months): AI that plans, reasons, self-corrects, and chains multi-step processes end-to-end. It can even improve its own patterns over iterations. The progress is compounding, not linear. Real effects I’m seeing now: 20–40 hour projects reduced to 2-hour builds Multiple tools replaced by a single agentic pipeline Teams scaling output without scaling headcount Yes, AI still fails sometimes. But the real risk is letting months of progress sit idle while you debate “is it ready?” Practical wins, not hype: Sales: prospect research, personalized outreach, follow-ups — running while you sleep Ops: data entry, QA, automations — removing daily drag Support: routing, triage, answers to common questions — humans handle real problems Analysis: synthesis, forecasting, pattern recognition — turning noise into decisions Applying AI isn’t magic and it’s not “replace your team.” It’s amplify your team — push their limits and remove boring work. If you’re still treating AI as a curiosity instead of an operator, you’re choosing to fall behind.
0 likes • 5d
@Gladys Rosellane Great. what about you
I showed clear ROI. Now on the way to close the deal
An automation agency was stuck at $5K/mo. I showed them a clean path to an extra $20K/month in pipeline. They tried everything — ads, cold calling, more volume, more templates. Pipeline didn’t move an inch. They were blasting 200+ emails/week. Generic. Forgettable. Messages that could’ve gone to anyone. Result? 0.9% reply rate. Maybe 1 SQL/month on a “good” month. And they wondered why outbound “doesn’t work anymore.” So I rebuilt the entire thing from scratch (I was using for myself). I built a Python-based outbound engine that: Pulls the prospect’s latest posts (real-time intent) Extracts the pain they’re literally talking about online Crafts ROI-driven pitches (“Cut CAC 25%… improve LTV:CAC to 3x…”) Sends personalized outreach at scale without slowing down Here’s what changed: Before → 200 emails/week 1% reply 1 SQL After → 150 emails/week 6% reply 8 SQLs Same effort. 6× more pipeline. Let’s do the math: 8 SQLs × $2,500 ACV = $20,000 added pipeline Close rate didn’t change → more revenue, automatically. Why the jump? Because we fixed the only 3 levers that actually matter: Target. Copy. Offer. Everything else is noise. Here’s the real principle: Relevance scales replies. Generic outreach → 1% Signal-targeted outreach → 8% This is literally the difference between: Empty calendar vs Consistent weekly calls Most agencies can’t break their revenue plateau because: Their ICP is “anyone who might need us” Their message fits 1,000 companies Prospects delete it in 3 seconds Your real competition isn’t other agencies. It’s the delete key. If your agency is stuck: It’s not your service. It’s not your pricing. It’s not the market. It’s your outbound strategy. Fix outbound → everything compounds. (P.S. Currently talking to them to fix their offers. Wish me luck)
1 like • 5d
@Marek Rabcan 100% Thanks for your kind words man
1 like • 5d
@Gabriela Victory thanks
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@dipt-barman
On a mission to generate $1M+ for sales teams and founders leveraging AI. Your AI Transformation Partner

Active 9h ago
Joined Nov 24, 2025
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