From the #1 GTM advisory in US & Europe.
Field notes from 400+ B2B engagements. Tactical, opinionated, never recycled.
A founder's honest take on appointment generation in b2b: why I built the meeting engine in-house before handing it to a specialist, the fit-first rule that kills junk calls, and where the motion stops working.
A founder's honest take on lead generation for saas companies: why the best product rarely wins, the distribution engine that actually compounds, and where the tactics stop working.
A founder's honest take on go to market consulting services: why the playbook most firms sell is the one thing that walks out the door, the operating system that actually compounds, and where the engagement stops working.
A founder's honest take on how to reverse engineer viral linkedin posts: the eight rules that took my posts from twenty likes to real reach, why you copy the structure and never the words, and where the method stops working.
A founder's honest take on how to delegate tasks to ai agents by voice: why the model you talk to is never the one doing the work, the setup that lets you start three jobs at once, and where it still falls apart.
A founder's honest take on how to build an ai gtm stack: why the model is the most replaceable layer, the three layers that actually hold your value, and where keeping it all portable still costs you.
A founder's honest take on how to manage multiple ai agents: why one manager beats fifty open tabs, the five jobs I hand that manager, and the three places it still needs me on the work.
A founder's honest take on ai agents vs prompts: why the same correction never sticks in chat, the eight standing rules that stopped the false completions, and where a rules file is overhead you will never earn back.
A founder's honest take on ai sales prospecting: why the cheapest tool per credit rarely produces the cheapest meeting, the total-cost math I learned testing AI models, and where the automation still needs a human.
A founder's honest take on b2b data enrichment tools: why most teams pay for rows nobody will ever work, the order that makes enrichment worth its cost, and where the spend stops paying for itself.
A founder's honest take on founder led growth: why the ten-year timeline everyone shares hides the boring mechanic that makes it work, and where the compounding quietly breaks.
A founder's honest take on ai prospecting tools: why outbound campaigns starve without anyone noticing, how an agent that tops up its own lead list works inside real client workflows, and where it still needs a human.
A founder's honest take on claude for sales: the new record-a-skill feature that turns one screen recording into a workflow that runs without you, and the two places it still needs a human on the send.
A founder's honest take on sales trigger events: why a new CEO is the highest-intent window you are ignoring, the four-filter search I run to find them, and where timing-based prospecting still breaks.
A founder's honest take on AI sales workflows: the eight zero-code revenue systems I run inside Growth Cab, why building your own beats buying another tool, and where the automation still needs a human on it.
A founder's honest take on lead generation b2b: why publishing content and hoping is not a system, the three-move capture layer that turns engagement into booked calls, and where the automation stops working.
A founder's honest take on the AI sales agent: why most of them are just prompts on a schedule, the four-part loop that makes a few of them actually work, and where the automation still breaks.
A founder's honest take on the AI email writer: why most of them just help you get ignored faster, the research layer that makes a few of them convert, and where the automation still falls apart.
A founder's honest system for LinkedIn lead generation: how to turn the people who like your posts but never buy into real conversations, and where the automation stops working.
A founder's honest breakdown of the B2B lead generation strategies that still work in 2026, starting from the boring layer everyone skips: verified decision-maker data.
A founder's honest take on the AI SDR: the model jump that finally made autonomous prospecting useful, the three jobs I hand it inside Growth Cab, and the places it still falls apart.
A founder's honest breakdown of how AI for sales actually earns its keep: five research and prep workflows I run before every call, and the two places the automation still falls apart.
A founder-led sales playbook for controlling the call from minute one: three moves I use inside Growth Cab to hold the frame without turning into a scripted closer, and where the approach stops working.
AI made software cheap to copy and features easy to clone. A founder's case for the one advantage that still compounds: a data moat built from what only your team can know.
The models stopped being the bottleneck this year. An honest look at why most teams still get mediocre output from AI agents, and the fix that costs nothing.
Six questions to answer about your own offer before any discovery call, from a founder who lives inside B2B sales conversations every day.
A founder's honest comparison of Perplexity and Claude for revenue work, from prospecting to fully personalized outbound at scale.
A critical filter most founders overlook in outbound sales.
Personalized email outreach remains essential, even with advanced AI.
Systematically convert engagement into qualified business leads.
A 50/50 split between creator networking and high-value content.
Move from constant busyness to scalable income models.