Jamie Khan

@iamliamsheridan Done!

@JamieCKhan Follow me so I can DM

we analyzed 4.7M cold emails across 10+ clients. here's what actually moves pipeline (and what quietly kills it): 1/ more follow-ups hurt you. after a certain point, they don't increase replies. they kill them. most teams don't know where that point is. 2/ same email. 4.3x different results. one small change. same copy, same offer, same list. nearly 5x the outcome. 3/ the metric you're tracking looks great on paper. it's also draining your pipeline. you probably celebrate it. you shouldn't. 4/ there's a setup step almost everyone skips. not exciting. nobody talks about it. but skipping it destroys your deliverability before you send a single email. 5/ winning campaigns don't win because of copy or offer. it's something simpler. something most people walk right past. 6/ outbound isn't broken. your outbound is broken. there's a specific reason it's not working. it's fixable. comment SYSTEM and i'll send you the full breakdown.

@itsalexvacca Skills

We built 12 Claude Skill files that run our entire GTM operation inside Clay (and I'm giving it all away) Prompts give you generic output. These skill files on the other hand are built from hundreds of Clay tables across 80+ B2B clients at $7M ARR. Each one does a specific job: → Company Research Agent → Personalization Writer → ICP Scorer → LinkedIn Profile Analyzer → Data Cleaner & Normalizer → Objection Handler → Email Sequence Writer → Competitor Analyzer → Job Posting Analyzer → Technographic Qualifier → News & Signal Synthesizer → Account Brief Generator How it works: drop it into Clay → map your columns → run. No prompt engineering. No switching tools. Just output. Giving the full pack away free. Reply "SKILLS" and I'll send it.

Someone please go build GTA VI before @RockstarGames finally release it…

After a couple of months off the pints, we're back talking customer acquisition with a few ecom heavyweights 🍻 Tune in to watch @JackRubin1, @matthucius and @oliverwhudson debate Meta over some of London's finest stout youtu.be/DlXyoEEtO9c?si…

This feels like an episode of @blackmirror 😅

@joebollard_ Stunned @JackPierse isn’t up there after Monday last week…

Curious - are we thinking this is front end + API usage? And from individual users and not admins in their orgs?

@THArrowOfApollo SEPT

We just discovered how Google’s AI spam filters are killing cold email copy that worked for 1.5 years straight. 174,400 emails sent for Adam Robinson and RB2B in September. And our delivery rate dropped 3X overnight. Here's the plot twist nobody's talking about: It has NOTHING to do with infrastructure. NOTHING to do with domains. NOTHING to do with anything the gurus teach. It's AI Fatigue. And it's destroying campaigns that printed money for years. But here's where it gets interesting... We built real-time attribution that shows EXACTLY which emails drive signups (not just positive replies). Turns out our "worst" performing copy by reply rate? Was actually our BEST at driving signups. People wouldn't even reply - they'd just sign up directly. The top-line average numbers from September: - 174,400 emails sent - 118 positive replies - 211 signups generated (You saw that right, half of people don't even bother replying, they just sign up directly) - 14% of RB2B's ENTIRE signup volume ($6M ARR company) - Variant A (our 1.5 year workhorse): DEAD - Variant F (shorter, punchier): 3x better deliverability We burned through hundreds of thousands of emails to figure out that AI filters are now pattern-matching successful copy and nuking it after enough volume. We see this happen with any client that starts sending more than 75k emails per month. The copy that made millions? Goes from the inbox to the spam folder in 3 months. Most agencies would quietly switch copy and never mention this. But this is how we operate with every client. Full transparency. And Adam wants us to publish every dirty detail. So I recorded an 8-minute breakdown showing: - The exact copy that died after 1.5 years - The new copy that's crushing (with actual templates) - Our real-time attribution system that tracks signups, not vanity metrics - Why chasing positive replies is the WRONG metric Fair warning: This video has client data that agencies never share. If you want the video, comment SEPT and I will DM you the Video

@joebollard_ @tbpn @20Vc @myfirstmilpod What about your own? @happystackhq 🤔

My current podcast diet: 1. TBPN (@tbpn) ~75% 2. 20VC (@20vc) ~20% 3. My First Million (@myfirstmilpod) ~5% Any other recommendations?

@joebollard_ you have to respect the audacity/pragmatism here…

@THArrowOfApollo JULY

We're now sending 300,000 cold emails a month for Adam Robinson with 34% positive reply rates. This is after we just burned $10,500 discovering why RB2B's cold email infrastructure went to zero. And we rebuilt everything and 2X'd their efficiency in 30 days. Here's what nobody will tell you about sending cold emails at scale: The strategy everyone uses for sender names will actually KILL your deliverability in 2025. We proved it by accidentally torching their entire infrastructure (375 domains, all dead). What else did Sales Automation Systems learn this month? Variant A: 775 emails per positive reply (our baseline from last year) Variant F: 387 emails per positive reply We literally double the efficacy of RB2B's copy with the smallest changes. Same lists. Same targeting. One weird change nobody talks about. Most agencies would bury this after losing $10k of client infrastructure. But Adam asked me to build in public. Full transparency. So here’s how we fucked up, and how we fixed it. Comment JULY and I'll DM you: - The 8-minute video showing our exact July results - Why 375 domains burned to zero (and how to never make this mistake again) - The sender name strategy that's somehow crushing it - Which copy variant cut our work in half Fair warning: This goes against what every cold email "guru" teaches. We burned $11k learning this so you don't have to. Like, Comment JULY, and Follow

@joebollard_ And 3 hours of work on a Monday is equivalent to 9 hours on a Friday 😅

1 hour of work on a Sunday is equivalent to 3 hours of work on a Monday. You have more clarity, less distractions and you’re more likely to prioritise important work over urgent work.

Almost a year after we met & started working with @dersss & @andycloyd, we're thrilled to come on board as investors in @superfiliate with @happystackhq. 400% growth in a year - the numbers don't lie! Board meetings in an @IHOP from here on out 🥞 bit.ly/4k2Sq3B

@iamshackelford I weirdly don’t hate it 🤔 have you ever seen this one? igloo.inc

This would be the most infuriating website ever made.

@dersss @superfiliate @JackPierse 🐐🐐🐐

Welcome to the @superfiliate board mr @JackPierse 🫶🥞

I'm stoked to announce @superfiliate 's $2M strategic growth round led by @JackPierse and the great folks over at @happystackhq

@joebollard_ @matthucius “Oh, and here’s a $250 cleaning fee on top of that…”

@matthucius It still beats staying at an Airbnb “before you leave please strip the beds, take the trash to the street and wash any used cutlery” 😂

What is the reason hotel checkin and checkout is so insanely slow? I genuinely don’t understand - you’ve already booked, they have all your details and payment details - why is it any more than a few seconds in and out??? Feels insanely inefficient and like something that could very easily be modernised with some simple logic and common sense? Every time I go to a hotel I feel this frustration and it can’t just be me 🤔

@iamovo_x Really enjoyed this book! Some of the stats around “successful” signings (starting more than 50% of your matches in your first 2 seasons) are wild! The hit rate for the big 6 is shockingly low. For anyone interested in data, football, or ideally, both, give this a read 🤓

Guys read Ian Grahams book on how to win the league and why we made this signing It was very interesting Summary: Rodgers had been chasing benteke for his first 2 seasons whilst we wanted Sturridge and Costa them We signed lambert so Rodgers would see that a target man isn’t ideal for how we wish to play. In 2014/15 was a blend of two different squads, the one Edwards was trying to build and Rodgers ego

@jackofecom Especially when @joebollard_ has enforced 10 factor authentication on your org 🤷‍♂️

Getting signed out of all your Google accounts is top 10 most annoying things First world probs

@akshay_pachaar This is quality! Thanks Akshay

Model Context Protocol (MCP), clearly explained: