Activity
Mon
Wed
Fri
Sun
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
What is this?
Less
More

Memberships

AutomatĆ­zalo

8k members • Free

Wholesaling Real Estate

72.8k members • Free

The AI Advantage

120.7k members • Free

Automation-Tribe-Free

4.3k members • Free

Selling Online / Prime Mover

36.6k members • Free

AI SAAS Builders (Workshops)

4.9k members • Free

Dopamine Digital

6.6k members • Free

Agent-N

6.8k members • Free

Max Business Schoolā„¢

264.8k members • Free

6 contributions to AI SAAS Builders (Workshops)
I've been running cold email campaigns for clients for 3 years and the biggest shift I've seen isn't the tools. It's what actually gets a reply.
Personalization used to mean scraping a name and company from LinkedIn, dropping it in the first line, and hitting send. "Hey {FirstName}, I noticed {Company} and thought..." That worked in 2022. It's dead now. Everyone's doing it and prospects can spot a mail merge from the subject line. What changed for me was treating personalization like actual research instead of a data field. Here's what I started doing: → I scrape the prospect's entire website. Not just the homepage. Blog posts, service pages, case studies, about page, even their contact form if it's there. → Then I feed all of that into OpenAI and have it analyze what they actually do, who they serve, and what problems they're likely dealing with. The AI doesn't just summarize. It finds the specific details nobody mentions in generic outreach. So instead of "I saw you work in logistics," the email opens with "Noticed you handle cross border freight into Mexico. Your blog mentioned customs delays eating 15% of delivery windows." That's the kind of line that gets opened because it doesn't sound like 500 other emails they got that week. The reply rates went from 2-3% with generic personalization to 8-10% with actual research. One prospect replied last week: "Your email won because you actually read our site. Everyone else sent the same template." The system I built does this automatically. Scrapes the website. Analyzes every page. Generates icebreakers that reference non-obvious details. It writes openers like a human who spent 20 minutes studying their business, except it does it for 1,000 prospects in an hour. Here's what I learned building this: Small prompt details make a massive difference. Having OpenAI shorten company names naturally (say "Stripe" not "Stripe Inc.") and reference specific pages beyond the homepage makes it feel real. The difference between "I saw your website" and "I saw your freight tracking dashboard lets customers get ETAs without calling" is everything. One feels like spam. The other feels like someone did their homework.
0
0
I've been running cold email campaigns for clients for 3 years and the biggest shift I've seen isn't the tools. It's what actually gets a reply.
How I Book 13 Meetings in a Day with Just 966 Emails (No Guesswork)
Generic pitches don’t work anymore. You’re emailing busy business owners — they don’t care what you do. They care about what’s wrong on their end. Here's what works now: Scrape any business from platforms like Yelp, BokaDirect, TruePeopleSearch, Apollo, IG & more Verify every email before hitting send Run full audits on their site (SEO, UX, mobile, speed, performance, all of it) Write laser-personalized emails based on their actual problems No website? It still writes an email based on that specific gap Sends 2-3 automated but smart follow-ups Updates CRM logs — hands-free So instead of 10,000 generic blasts and hoping for 10 replies... You're sending 966 sniper shots and booking 13 meetings. No manual effort. No scraping costs. Just results. Proof? Here’s what happened in yesterday’s campaign. It's not theory. It’s already working — for me and many other agencies.
How I Book 13 Meetings in a Day with Just 966 Emails (No Guesswork)
Claude just booked 19 sales calls for my client in one week.
Here's what actually happened behind the scenes. Most B2B businesses struggle with the same outbound problem: You need someone to scrape leads. Verify emails. Research each prospect. Write personalized outreach. Send sequences. Follow up. Book meetings. That's either you doing it manually for 20+ hours per week, or hiring an SDR at $3-4K/month who might book 2-3 calls weekly if you're lucky. My client was stuck there. Spending evenings building lists. Writing emails one by one. Praying for replies. We built a lead generation system that handles the entire workflow automatically by claude. Here's what it did last week: - Scraped 4,954 potential prospects across their target industries - Verified 2,352 deliverable emails - Analyzed each prospect's website for specific problems - Found SEO issues, broken links, slow page speeds, missing contact forms - Generated personalized icebreakers mentioning those exact problems - Wrote 2,352 unique emails (not templates, actual research-based messages) - Sent them with intelligent timing across the week - Ran automated 3-touch follow-up sequences - Booked 19 qualified discovery calls straight to their calendar Total human involvement: 20 minutes to review and approve the campaign The results weren't just volume. They were quality. 61 total replies. 31 positive responses. 19 calls booked. 17 showed up. 8 moved to proposal stage. That's an 89% show rate because prospects already knew why they were talking to us. When your email says "Your contact page throws a 404 error, you're losing 15-20 leads per week" instead of "I help businesses grow," people either care immediately or they don't respond. No tire kickers. No "let me think about it." Just qualified conversations with decision makers who have the problem you solve. Here's what changed for my client: → Before: Spending 15-20 hours weekly on outbound, booking 1-2 calls if they were lucky → After: Spending 20 minutes weekly reviewing campaigns, booking 15-20 calls consistently
Claude just booked 19 sales calls for my client in one week.
Looking for a tech partner
I wanted to share an idea with you that could help both of us grow professionally. I’m a full-stack developer with 7 years of experience building production-level web apps (React, Next.js, Node, TypeScript, etc.). I’m confident in my technical skills, but I often face challenges getting hired—mainly due to timezone and language barriers when dealing directly with international clients. That gave me an idea: what if we partner together? You’d use your profile and communication skills to talk to clients, pitch projects, or apply for jobs. I’d handle the development work in the background. you stay in full control, and we just split the work and profit fairly. It’s like having a silent tech partner who delivers results while you manage the client side. If this sounds interesting, I’d love to talk more about how it could work. Thanks for considering!
0 likes • Nov '25
Hey JosephĀ Hutabalian, I built a system that audits websites, finds design/performance issues, and sends hyper-personalized cold emails that actually get replies (not ignored like templates). It scrapes leads, analyzes their site, and handles email + follow-ups on autopilot. It's customizable based on your offer, niche, or client type — this is a massive time-saver + reply booster. WantĀ aĀ quickĀ demo?
World of eCommerce
The world of eCommerce is growing faster than ever! From selling unique products to building global brands opportunities are everywhere If you could start your own online store today, what would you sell? Drop your answer below ā¬‡ļø
0 likes • Nov '25
Hey AlomĀ Thompson, I built a system that audits websites, finds design/performance issues, and sends hyper-personalized cold emails that actually get replies (not ignored like templates). It scrapes leads, analyzes their site, and handles email + follow-ups on autopilot. It's customizable based on your offer, niche, or client type — this is a massive time-saver + reply booster. WantĀ aĀ quickĀ demo?
0 likes • Nov '25
@David BenHey I built a system that audits websites, finds design/performance issues, and sends hyper-personalized cold emails that actually get replies (not ignored like templates). It scrapes leads, analyzes their site, and handles email + follow-ups on autopilot. It's customizable based on your offer, niche, or client type — this is a massive time-saver + reply booster. WantĀ aĀ quickĀ demo?
1-6 of 6
Andrea Lopez
1
4points to level up
@andrea-lopez-7518
Making the complex simple with automation that just works, so you can focus on what matters.

Active 9m ago
Joined Sep 3, 2025