BREAKING: LinkedIn DMs just got UNREAL... CLAUDE now runs 100% of my oureach on AUTOPILOT.  Everyone is doing LinkedIn outreach WRONG: > spending 3 hours/day on manual outreach  > using sequences that kill all personalization Forced to choose between... TIME & CREDIBILITY. After 12 months of testing and testing Everything changed. CLAUDE is on a WHOLE new level: → it finds the best leads with signals  → it researches each prospect → it sends personalized icebreakers But the main change?? It now handles FULL conversations. END-TO-END... → it answers questions & qualifies → it books meetings all on its OWN And it acts as a HUMAN... Waits 2-15 mins between every action.  > speaks like you  > acts like you That's it. 0 time on lead lists. 0 manual outreach. 0 generic sequences. Want to see how CLAUDE can book 2-5 meetings/day for you? 1. Connect with me  2. Comment "AUTOPILOT" P.S: repost for priority access

Mere chhati par saanp🐍 lotata tha… Jab main sochta tha.. maine kitne bade bade clients aur businesses ke sath kaam kar liya.. Unke liye software banaye… Lekin main apna khud ka ek chota sa bhi business ya company kyu nahi bana paya? Aur aaj ye problem meri nahi India aut Indians ki hai.. sare Google Microsoft ke softwares inhone hi develope kiye hain lekin Google Microsoft jaisi company nahi bana paye..… more

⚠️ UPDATE: Thanks everyone, had loads of interest and now have a few people to reach out to. I’m looking for a UK‑based freelancer to review and optimise our Google Ads account and provide practical recommendations across Paid Ads and SEO. B2B experience essential, ideally in the telecommunications/IT industry. I’m not looking for agencies. If you’ve worked with someone you’d recommend, please tag them in the comments or drop me a message.

My hotel runs on 21 AI agents. None of them existed a year ago. Some run on a schedule. Some I trigger by name. A few wait for emails or bookings to come in. Here's the full list, grouped by what they actually do. DAILY OPS (1) ▪ morning-routine: runs every agent below that needs to fire before I open my laptop. EMAIL & COMMS (5) ▪ email-triage: scans 3 inboxes, classifies, prioritises. ▪ email-processor: drafts replies, logs them to a sheet. Auto-runs every 15 min. ▪ email-draft: writes one-off emails in my voice. ▪ booking-inquiry: warm, personal replies to inquiry emails. ▪ arrival-time-check: weekly chase for missing arrival times. GUEST EXPERIENCE (2) ▪ concierge: restaurants, tours, transfers. Vetted contacts only. ▪ pre-arrival-outreach: welcome messages for premium bookings. REVENUE & PRICING (3) ▪ dynamic-pricing: proposes rate and MLOS changes for the next 30 days. ▪ room-upgrade: spots upgrade chances. Executes after I approve. ▪ agent-notification: tells rental agents when rates or availability move. HOUSEKEEPING & F&B (2) ▪ cleaning-schedule: daily plan built from Cloudbeds bookings. ▪ fb-shopping-list: grocery list from guest counts plus inventory. FINANCE & REPORTING (3) ▪ finance-filing: reads receipts, files to Drive, logs to a sheet. ▪ villa-analytics: pulls and analyses booking and revenue data. ▪ marketing-report: 2-page weekly doc on traffic, ads, and occupancy. SALES (1) ▪ crm-pipeline: tracks every inquiry from first message to post-stay. Drafts follow-ups for stale leads. BUILD & RESEARCH (4) ▪ Explore: fast search across my code and files. ▪ Plan: designs the steps before any non-trivial build. ▪ general-purpose: fallback when nothing specialised fits. ▪ web-research: cheap online research for suppliers and contacts. The whole stack cost me less to build than one front-desk month salary. Comment "hotel agents" and I'll send you the entire repo. All 21, ready to plug into your Claude.

59 people left Paytm and joined Razorpay.

I used the Crustdata API to pull the last employer of 2,822 current Razorpay employees.

Paytm sits at number one. The company that dominated Indian payments for a decade is now Razorpay's biggest talent source.

Pine Labs, Flipkart, Cashfree Payments, PhonePe, HDFC Bank. Every company on this list either competes in payments or trained someone who knows exactly how money moves in India.

That is not a coincidence. That is what happens when an industry shifts and the best people go where the product is better.

Big respect to Harshil Mathur and Shashank Kumar for building something the whole Indian fintech world is gravitating toward.… more

$400 quoted. AI paid $220. The agent negotiated it before we even saw the email. Here's what it did: → Pulled the site's real signals (DR, quality, traffic trend, topical fit) → Scanned backlink marketplaces for the same domain → Found it listed for $170 to $400 → Drafted a counter at $200 We reviewed. Hit send. Closed at $220. $180 saved. 45% off the original quote. Across 50 negotiations last month, the average close came in 38% under the first quote. The reply inbox was the last manual stretch in our link building stack. A junior outreach manager flipping between Ahrefs and a marketplace. Eyeballing fair value. Paying whatever felt close enough. ➡️ Now it's an agent. Full context attached. Decision in seconds. At Tasken, we've built a full link building system: → Pull prospects from Google and competitor backlinks → Qualify, score, shortlist domains → Draft and send outreach automatically → Counter-offer with real market data → and more huge time savers! We documented the whole thing. Every prompt. Every workflow. Every decision tree. Comment "LINKS" and I'll DM you the playbook 👇 … more

I've saved more than 50 hours per week using these skills.

Today, I'm giving it all away for free…

Most agencies have 6–9 people handling SEO.

I replaced them with 9 Claude skills.

Here’s every role, and what each one actually does:

1. SEO Auditor
↳ Runs a full-site health check across 7 categories
↳ Gives you a prioritized action plan

2. Sitemap Analyzer
↳ Detects errors, quality issues, and broken URLs
↳ Generates a clean sitemap from scratch if needed

3. Programmatic SEO
↳ Builds pages at scale from data sources
↳ Prevents thin content and index bloat

4. Content Writer
↳ Applies E-E-A-T + AI citation readiness analysis
↳ Tells you exactly why your content isn’t ranking

5. Competitor Analysis
↳ Builds “X vs Y” and “alternatives to X” pages
↳ Creates full feature matrices with schema markup

6. Schema Verifier
↳ Detects deprecated types and validates markup
↳ Generates ready-to-use JSON-LD code instantly

7. GEO Auditor
↳ Checks your visibility in ChatGPT and Perplexity
↳ Analyzes citability, llms.txt, and entity clarity

8. Technical SEO Analyst
↳ Covers crawlability, Core Web Vitals, and JS rendering
↳ Audits 9 technical categories in one clean report

9. Page Builder
↳ Performs deep single-page SEO analysis
↳ Covers on-page SEO, content, schema, and images

Bonus: SERP Analyzer
↳ Breaks down what’s ranking on page one—and why
↳ Identifies AI Overview triggers automatically

The output?

A full GEO audit of stripe.com - scored in minutes.
A full SEO audit of stripe.com - graded out of 100.

What used to take a team of 6 an entire week,
Now takes me one afternoon.

Comment “AEO” below, and I’ll send you the entire skill pack for free. 🎁

(Repost ♻️ for priority access)… more

R.I.P generic cold emails. We trained Claude on millions of outbound interactions. Now it’s outperforming entire outreach teams for some of our clients. We tested every major AI model for outbound: GPT Gemini Grok Llama Most of them can write decent emails. But “decent” doesn’t generate pipeline. Claude stood out for one reason: It understands context better than anything else we tested. So we built a complete outbound engine around it. Not just prompts. Not just AI-generated copy. A full system trained on years of winning campaigns, reply patterns, intent signals, and real sales conversations. Here’s what it does: → Detects high-intent prospects automatically → Scores leads using dozens of buying signals → Finds the best timing to reach out → Generates hyper-personalized emails using live context → Creates and tests multiple outreach angles automatically → Optimizes every email for deliverability and replies → Learns from previous campaign performance → Removes generic templates completely → Handles the entire outreach workflow from A to Z → Writes better emails in seconds, not hours The result? Outbound that actually feels human. At scale. While most teams still spend thousands every month on average outreach… This system can generate better emails in under 60 seconds. And the craziest part? The more campaigns it runs, the smarter it gets. Comment “CLAUDE” and I’ll send you access 👇

I told a client with 1.2 million LinkedIn followers that cold email probably wouldn't work for him.

He hired us anyway.

800,000 emails later, I was right.

And he still tells people to hire us.

Eric Partaker did not come to us because he needed cold email to save his business.

He already had the audience.

1 million LinkedIn followers.

176,000 newsletter subscribers.

A CEO accelerator people already found through his own content.

He came to us with a question, not a request.

Can cold email become a real channel for my business?

His exact words:

"I didn't know if cold email would work for my business. That's actually why I hired Taylor and the Sales Automation Systems team. I wanted someone who could give me a real answer."

This is where people misunderstand what we do.

We are not a lead generation agency.

Lead gen agencies SELL results (and lie to you about it)

I think of ourselves a cold email consultancy.

Our job is to find message-market fit.

Can this offer, to this TAM, through cold email, create customers at a CAC that makes sense?

If yes, we scale it.

That is how cold email prints millions for the right client. (Just like it printed $4.3M for Fyxer Ai)

If no, we tell you to stop.

Because forcing a channel after the data is obvious is how you burn your list, your domains, your reputation, and your market.

So we went all in for Eric.

Infrastructure.

Copy.

Attribution tracking.

Coordination with his team.

The whole machine.

Over 4 months we sent around 800,000 emails.

Reply rates were 2X above benchmark.

People engaged.

But none of those conversations turned into paying customers.

So I had to say the thing most agencies never want to say to a paying client:

"Eric, I don't think this channel works for you."

He disagreed.

So I kept running the campaigns for free.

Bad spreadsheet decision for me.

but

I did not want Eric walking away with a maybe.

After the final push, the answer was clear.

Cold email was not the right channel for his business.

No spin.

No "just one more month."

No pretending mediocre results were secretly good.

Eric wrote:

"They wanted me to know the truth, even when the truth was 'this channel doesn't work for you.'"

And then:

"That clarity saved me from spending more money on something that wasn't going to pay off."

That is the whole point.

We do not guarantee cold email will work.

We guarantee you will know if it can.

Sometimes the answer is:

"MAKE MONEY PRINTER GO BRRRRR"

Sometimes the answer is:

"Your ICP just doesn't vibe with you via cold email right now"

Both are good outcomes if the answer is real.

Most agencies would bury this story.

I think it might be the clearest one we have.

If you were in Eric's position, would this make you trust the agency more

or less?… more

Me: We charge 18,500.
Client: Best I can do is emotional support and 500 bucks.

Me: let me enjoy my coffee, bye

#meme #marketing #founder #clients #coffee… more