In the Pit with Cody Schneider | Marketing | Growth | Startups

Brought to you by https://www.graphed.com/ Deploy AI Agents for Marketing + GTM Intro There are thousands of leads sitting in your network right now. The hard part is knowing who's in it, who's buying, and who can get you the intro. Chris spent five years as a VC, putting $50M into about 50 pre-seed and seed companies. On the side, he turned his Rolodex into a sales channel. He booked 300 meetings in one year for a buy now, pay later company and got a six-figure check for it. That side business became Super Connector, a marketplace that pays people to make warm intros from their LinkedIn, calendar, and inbox. The real takeaway: AI floods every inbox, so trust is the one channel it can't copy. One test run for a client, 320 emails sent from Chris's network, led to 50 meetings and 6 customers from about five minutes of work. Timestamps (02:11) From SDR to VC, and the Excel file that paid for his house (05:49) The 1 a.m. memo: why there's no "network economy" yet (10:37) Go vertical and obsess over supply, plus the graveyard of companies that tried this (13:04) His dad, an insurance agent, and a six-figure path as a connector for one business (18:25) How the matching works: link LinkedIn, Calendar and Gmail, enrich contacts, match to ICP and target accounts (20:27) Agents that police the marketplace, while a human presses the button (25:42) What a pre-seed investor looks for now: the founder's why and distribution before product (32:53) iMessage as the interface, and software that gets out of the way (38:15) Zoom co-pilots and tapping phones at events (41:29) $1,000 bounties, and 320 emails → 50 meetings → 6 customers Find Chris - superconnector.com - [email protected]

Brought to you by https://www.graphed.com/ Deploy AI Agents for Marketing + GTM Intro Most of the marketing data you want is public. It's just not exposed. Ad platforms show you what makes you spend more with them, and hide the rest. Adrian runs Scrape Creators, an API for public social data. He spent this episode listing almost 20 tools that get at the stuff platforms don't hand over — creator emails, Instagram stories, full tweet history, every nutritionist in the United States. The real takeaway isn't any one API. It's that chaining them together takes an afternoon now. Google Maps → email finder → Instantly → booked meeting. No engineer. Timestamps (02:34) A customer got busted by Meta this week — where Adrian draws the legal line (08:41) Outlier identification: rank a creator's catalog, pull the transcripts, extract the hooks (12:31) The non-technical build loop — API docs into Perplexity, Python into a vibe coding tool, one-shot app (21:16) Hiker API — Instagram emails, followers, and stories from behind the login (25:56) Google Maps at scale — Targetron, Serper.dev, and the email enrichment chain on top Find Adrian - scrapecreators.com - [email protected] - https://x.com/adrian_horning_ on X

Deploy AI agents for marketing - https://www.graphed.com/ Nick Abraham is breaking down the exact outbound system behind 250,000 LinkedIn DMs a month, including the numbers, infrastructure, and why LinkedIn is blowing cold email out of the water right now. He pulls back the curtain on the LinkedIn InMail arbitrage that most people have no idea exists, how he's stacking SalesNav licenses to send at scale without paying per credit, and why reply rates on LinkedIn are nearly 3x what he's seeing from cold email, even to the exact same lead lists. But it doesn't stop there. Nick also gets into how he's completely rethinking cold email as a one-to-one marketing channel powered by AI, where every email is essentially a personalized ad written specifically for that recipient's business, role, and pain point. He walks through a real live example using getleads.io and how he's slicing TAM lists into micro-campaigns by channel type, inbox provider, and job function to squeeze dramatically better results out of the same volume. They also get into the full outbound tech stack Nick is running right now: SmartLead for email sequencing, HeyReach for LinkedIn, Master Inbox for unified reply management, Close CRM for pipeline, and how Cursor plus Claude replaced his entire RevOps setup, no Zapier, no full-time hire. About the Guest Nick is the founder of Leadbird.io, one of the top outbound agencies running today. Link with him through here. https://x.com/NickAbraham12 https://www.linkedin.com/in/nick-abraham/ Learn more about Leadbird https://leadbird.io/

Deploy AI agents for marketing - https://www.graphed.com/ GTM engineering is one of the fastest-growing roles in tech right now, but what does it actually involve, and why are companies scrambling to hire for it? In this episode, I sit down with Benyamin Holley, a GTM engineer who's worked at multiple startups including AirOps, to break down what this job really looks like day to day. We dig into why API completeness is becoming the new buying criteria for software (and why Salesforce is quietly winning the AI era), why you should skip tools like Zapier and N8n entirely and go straight to code, and how "just-in-time" internal tools are changing the way teams build workflows. Ben also walks through real systems he's built and explains why expertise, not just tooling, is what actually separates winners in an increasingly saturated market. We also get into the debate around cold email as a marketing channel vs. a sales channel, why attribution is still an unsolved problem, and what companies should actually look for when hiring a GTM engineer. In this episode, we cover: 00:00 — What a GTM engineer actually is (and why every company is hiring one) 02:54 — Why Salesforce beats HubSpot now: API completeness is the buying criteria 05:29 — Skip Zapier and n8n entirely, go straight to code 08:31 — Your GitHub repo is your GTM portfolio 32:29 — The job-change bot: vibe-coding UserGems and what made it hard

Your biggest advantage in marketing right now isn’t better ads. It’s understanding what actually makes people buy — and it’s probably not what your feed is telling you. Rage bait is everywhere. It gets views. It gets engagement. But it doesn’t build trust — and it definitely doesn’t drive real revenue in B2B. In this episode, we sit down with Jason Levin, co-founder of Memelord.com, to break down why meme marketing is quietly outperforming rage bait, how humor builds trust with high-value buyers, and the exact systems top marketers are using to scale meme-driven acquisition. The deeper insight: the best marketers aren’t chasing attention — they’re engineering relatability at scale. You’ll learn how to operationalize memes across multiple accounts, why “remixing” is the real creative advantage, and how to turn humor into a repeatable growth engine. If you’re thinking about distribution in 2026, this is a playbook most companies still aren’t using. Guest Jason Levin — co-founder of Memelord.com, an AI-powered meme marketing platform helping companies scale humor, distribution, and content velocity through AI-generated memes and multi-account social strategies. LinkedIn: https://www.linkedin.com/in/iamjasonlevin X: https://x.com/iamjasonlevin What You’ll Learn Why rage bait drives views… but fails to convert high-value customers The difference between attention farming and buyer-driven attention How meme marketing builds trust faster than traditional content Why humor is a lever — not a strategy replacement How to run multiple niche meme accounts for different ICPs Why remixing content beats originality in modern distribution How AI is enabling meme velocity at scale Why relationships still outperform automation in closing deals Timestamps 00:00 - Introduction to Meme Marketing 00:21 - Guest Introduction: Jason Levin from Memelord.com 00:41 - Memes vs Rage Bait Marketing 01:13 - Tactical Meme Marketing Strategies 02:24 - The Importance of Branding and Trust 03:27 - Rage Bait vs Smart Bait Philosophy 05:01 - Why Meme Marketing Drives Revenue 06:43 - Building Trust in B2B Through Humor 08:13 - Niche Meme Accounts and High-LTV Distribution 10:19 - The Problem with Rage Bait Culture in Silicon Valley 15:00 - Inside Memelord.com: Product, Demo & AI Tools 30:43 - Scaling Distribution, Verified Orgs & Measurement Key Topics & Insights 1. Rage Bait Gets Attention — But Not Revenue There’s a growing belief that anger = growth. But here’s the reality: Rage bait attracts the wrong audience. It pulls in: Low-intent users People looking to argue Low purchasing-power audiences The problem: High-value buyers don’t respond to manipulation — they recognize it. And when trust is broken, conversion dies. The takeaway: Views are not revenue. 2. Meme Marketing = Relatability at Scale Memes work because they create instant recognition. Instead of forcing attention, they generate: Emotional alignment Shared pain points Fast trust-building through humor When people feel understood, they convert faster. 3. Humor Is a Lever, Not a Strategy Memes don’t replace strategy — they amplify it. Smart marketing stacks multiple levers: Educational content Long-form trust building Paid acquisition Humor as distribution acceleration 4. Remixing Is the Real Growth Engine Modern content velocity comes from remixing, not originality. Instead of creating from scratch: Take what’s already trending Apply your ICP’s pain point Add context and distribution This is how meme engines scale. 5. Multi-Account Distribution Strategy Scaling meme marketing requires fragmentation: Multiple niche accounts Each targeting a specific persona Each speaking in a tailored voice This creates parallel distribution channels instead of relying on one brand feed. 6. Verified Org Arbitrage on X A key growth hack discussed: $1,000/month for verified org Ability to spin affiliate meme accounts Networked distribution across accounts This creates ubiquity and compounding reach. 7. Relationships Still Close Revenue Even in a world of automation: Conversations Trust Long-term relationships still outperform pure distribution hacks. 8. Measurement Shift: Branded Search Instead of tracking vanity metrics: Focus on branded search growth Use Google Search Console Measure demand creation, not just clicks This becomes the true signal of market pull. 9. The Meme Stack Is Becoming a System Memelord.com represents a shift: Trend detection AI generation Multi-account publishing Rapid iteration loops Memes are no longer content — they are infrastructure. Sponsor Today’s episode is brought to you by Graphed – an AI data analyst & BI platform. With Graphed you can: Connect data like GA4, Facebook Ads, HubSpot, Google Ads, Search Console, Amplitude Build interactive dashboards just by chatting (no Looker Studio/Tableau learning curve) Use it as your ETL + data warehouse + BI layer in one place Ask: “Build me a stacked bar chart of new users vs. all users over time from GA4” …and Graphed just builds it for you. 👉 Get a free trial worth $500 plus a personal discovery call to set up your first dashboard: https://graphed.com/