tl;dr architecture break down from the quoted article (running live for @workersio): 1. market-first over list-first we don't scrape 10k random emails. we map the complete tam first based on competitor landscape to figure out the most desperate ICP sgemtn 3. shared multichannel state email, linkedin, and x operate on the same prospect record. we've built the best infra on the planet to run multi channel gtm and no other tool even comes close. 3. AI-native GTM backend the entire gtm workspace is exposed to your ai assistant via MCP so you can just tell your AI "find the last 10 founders who engaged with my X posts and send them a link to my blog post" and it will do it

the outbound system that runs yc companies: 1. market-first over list-first (mapping a 26,477 lead universe) 2. unified multichannel state (if they reply on email, linkedin sequences pause automatically) 3. measuring copy by meetings, not vanity opens (one variant hit a 23% reply and 9.1% meeting rate) 4. the mcp layer: turning the ai assistant into the operator running the workspace share and bookmark if you haven't read this already

how to not fall for phishing attacks: 0. remember you can't be hacked just by clicking on links you can only be hacked if you actively enter your password and 2FA code in places you're not supposed to 1. always read the URL you click on the url in the the current phishing messages is postdmca-x. com do you think anyone from X will use that random domain? they'll only use the official domain. if you read the URL you basically avoid 99.99% hack attempts. 2. never enter your real password in any form if you still feel convinced, just submit with a wrong password if it still "logs you in", you know you just saved your ass from a hacking attempt why? because a phishing form will always accept any password input as successful, because it doesn't really know the correct password only the real server knows your actual password and will give you an "incorrect password" error

HIRING for my YC startup: record videos using my AI tool and explaining the different use cases To get hired: DM me videos/instagram/youtube with your face, screen recording, and where you're talking about technical topics - energetic, good on camera - hungry & ready to talk about the product and make videos and short-form reels of valuable uses of it - 100% remote, work whatever hours, no resume/college needed - don't need to be too technical, just understand the basics of AI

corgi (yc s24) is running one of the strangest b2b gtm systems... everyone keeps talking about the "corgi girls" but there are so many other things that make the GTM pumping alongside a very aggressive outbound sales floor, it built something you almost never see in b2b: a 24/7 physical coffee shop underneath its san francisco headquarters here is why their gtm is worth studying: 1. physical distribution commercial insurance is usually bought when something forces the purchase: a funding round, an enterprise contract, a landlord, or a board requirement. corgi created another touchpoint before that buying moment arrives. downstairs from its headquarters is corgi cafe, open 24/7 and packed with founders, engineers, and investors. the cafe itself loses money -- but corgi's ceo stated the value comes from community building, recruiting customers, and recruiting talent. the cafe does not replace outbound sales, it places corgi physically inside the community it wants to insure. 2. full-stack carrier corgi is not an insurance broker, it underwrites and issues policies directly through its own software. startups buy d&o, cyber, and tech e&o coverage directly. corgi states quotes can arrive in under 10 minutes and policies can bind the same day, compared to the traditional broker process which it estimates at 2 to 4 weeks. 3. sponsored attention the cafe has another distribution layer: brands can pay to "own a drink" on the menu (brex, elevenlabs, qodo), and startups host community events inside the space. other companies have an incentive to bring their own audiences into a space owned by corgi. this creates recurring third-party reasons for their target buyers to enter their physical footprint. 4. outbound never disappeared corgi did not replace cold outbound with coffee. its startup-insurance bdr role in austin requires 100+ outbound calls per day!! its sdr role in san francisco expects 100+ dials and 30+ emails per day!! outbound generates direct pipeline. the cafe and girls generates community, brand presence, and ambient demand. but what most of you don't see is the amazing outbound system behind it (I'm writing another article on it later) the takeaway: - software infrastructure underneath. - aggressive outbound on one side. - unique distribution on the other (physical community for Corgi) keep pumping, Namanyay

a lot of people overcomplicate this: GTM IS MUCH SIMPLER THAN YOU THINK most people hear "go-to-market" and assume it requires complex tools and growth hacks. But no, -> cold email is not gtm. -> content is not gtm. -> ads are not gtm. -> sales is not gtm. they can all be parts of it, but none of them define it. at the most basic level, gtm is: person ➔ place ➔ approach ➔ action ➔ feedback here is what that actually means: 1. person who are you actually trying to reach? not a vague market category like "b2b companies." an actual type of person dealing with an immediate problem today. 2. place where can you reliably find their attention? is it linkedin, x, corporate email, google search, youtube, or an in-person event? 3. approach (channel vs tactic) this is where most people get confused: linkedin is a CHANNEL. founder content is a TACTIC. sales navigator searches are a tactic. direct outbound messages are a tactic. commenting on industry discussions is a tactic. it is the same place, but completely different ways of using it. 4. action what do you want the person to do next? walk through the door, start a trial, book a 15-minute call, or reply with their current workflow? your cta needs to be crystal clear 5. feedback: what happened after you tried? this is the step that turns random promotion into actual gtm. did the right people respond? what specifically caught their attention? where did they drop off? what should change on the next attempt? this loop works outside tech startups too, for a new neighborhood restaurant: • person: people living or working within four blocks • place: google maps and street foot traffic • approach: sidewalk chalkboard menu, local food reviews, and weekday lunch specials • action: walking in and ordering • feedback: did the chalkboard bring more office workers than the lunch discount? the takeaway: you don't need a massive growth stack to start. you need answers to five basic questions: 1. who should care? 2. where can i reach them? 3. what will make them pay attention? 4. what do i want them to do? 5. what did i learn after trying? do it repeatedly and you start building a real go-to-market motion. share this framework with someone who needs to hear it. later today i'll show how that motion becomes an engineering system instead of a collection of random experiments.

we run gtm for 10+ yc companies in san francisco. here is the exact 4-step playbook we use to book 30+ enterprise meetings a week with zero sales reps: (you can run this entire system manually yourself using AI and spreadsheets or read my article for a full walkthrough.) step 1: identify live hiring signals (kill static lists) stop scraping 10,000 stale titles off static databases where contacts changed jobs 6 months ago. go to greenhouse, lever, or linkedin jobs and search for companies that posted an opening for [your target pain point] in the last 72 hours. reaching out while a team is actively budgeting and interviewing for that exact problem increases reply rates by 4x. step 2: the 48-hour warm-up if you send a cold pitch in your initial connection request, 80% of buyers ignore. run an organic warm-up loop across 48 hours: • day 0: view their profile (puts your name and face in their notifications) • day 1: like a relevant technical post they shared (establishes peer familiarity) • day 2: send a connection request step 3: the 5 objection branches when replies come in, sort them into 5 distinct buckets instead of improvising: 1. "not right now" ➔ ask when their next budgeting cycle opens, log the date. 2. "we use a competitor" ➔ ask what specific gap in that tool frustrates their team. 3. "send more info" ➔ send a 30-second loom or 1-page pdf, never a generic deck. 4. "talk to my head of sales" ➔ ask for a warm email intro so you aren't reaching out cold. 5. meeting intent ➔ send a direct cal . com link immediately. step 4: where automation comes in (the 10%) you can run these four steps by hand for 3 hours every day: checking greenhouse, pacing linkedin views, and logging replies in notion. or, if you are a solo founder spending your days writing code and shipping features, that is why we built our engine runs the entire lead search, paces the multi-touch outreach in the background, and auto-replies when a qualified buyer replies so you can step into the chat and lock in the sale. some numbers over the last 7 days: • 546 invites sent • 356 connections (68% acceptance rate vs 20% industry standard) • 98 qualified replies • 38 enterprise demo meetings booked drop a comment below if you want my prompts to improve your GTM by 10x

Want 300k impressions on your next post? Just pay $1,500! I can't believe how many SF companies are paying to shill their launch posts & pumping and dumping with vc money it's actually pathetic Remember 90% of what you see on the internet is probably lies!