NerdForSpeed

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NerdForSpeed

NerdForSpeed

@NerdForSpeedNFT

Crypto Enthusiast

Katılım Ekim 2021
79 Takip Edilen24 Takipçiler
Matt Lucero
Matt Lucero@MattLucero_·
I just ran one of the largest (if not the largest) 3rd party comparison of cold email tool setups to figure out what the best cold email setup is. 600,000+ Emails Sent. 3 Sequencers. 3 Mailbox providers. Same campaigns, same copy, same lists, and I controlled for every possible variable possible. To run an accurate test at this magnitude we had to spend >$10,000 in new email infrastructure (to make sure everything was fresh) I made a 12 page report outlining + a 19 minute video breaking down ALL the results to a scientific level & giving it away completely free. The document breaks down: - The exact test parameters we ran - A breakdown of the results and findings by ESP and mailbox provider - What sending platforms / tools got the best results Want the full report? Like this post + comment "REPORT" and I'll send it over (must be following)
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Michel Lieben
Michel Lieben@MichLieben·
We spent months building a Claude Code system that runs outbound at our $7M ARR agency (and we're giving the whole thing away). Our head of GTM, Kenny, walks through the complete build on camera. Scores a target list against our ICP, pulls sales leaders via Apollo, enriches the missing emails, fetches our best-performing copy from Instantly's API, and loads 154 leads into Instantly with the copy and schedule set. Kenny packaged everything he used in the video below into a public starter kit. You get: → the GitHub repo → the CLAUDE md file we use → the Python scoring scripts Reply "send" and I'll DM you all three.
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Jordan Ross
Jordan Ross@jordan_ross_8F·
I fully reverse-engineered Ramp's internal AI operating system. Their system — called Glass — is how they got 99% of their entire company using AI every single day. 350+ reusable workflows. Every tool connected at first login. Memory that refreshes every 24 hours. Automations running while everyone sleeps. I partnered with my engineering team and we broke down every component inside it. Then we rebuilt the whole thing for marketing agencies. 76 pages. Every system. Every layer. Every step. Steal it. Comment "OS" and I'll send it directly. Must be a following to receive auto DM
Eric Glyman@eglyman

99% of Ramp uses ai daily. but we noticed most people were stuck — not because the models weren't good enough, but because the setup was too painful and unintuitive for most. terminal configs, mcp servers, everyone figuring it out alone. so we built Glass. every employee gets a fully configured ai workspace on day one — integrations connected via sso, a marketplace of 350+ reusable skills built by colleagues, persistent memory, scheduled automations. when one person on a team figures out a better workflow, everyone on that team gets it and gets more productive. the companies that make every employee effective with ai will compound advantages their competitors can't match. most are waiting for vendors to solve this. we decided to own it.

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Alfie Carter
Alfie Carter@AlfieJCarter·
I'm shocked more GTM agencies aren't generating $20k/month with Claude Code. It's simple. I shared this with an agency owner in our community. They're now making $20k every month. Like and comment "CLAUDE" and I'll send you the full playbook 100% free. Must be connected to receive it. Free for the next 48 hours only.
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Yann
Yann@yanndine·
A two-person GTM team at a Series B SaaS company closed $2.4M in pipeline in one quarter. No SDRs. No demand gen agency. No paid ads. Signal-based outreach. Intent scoring. AI-sequenced follow-up. Automated reporting. Two GTM engineers running the whole motion - for one quarter. I pulled it apart. Compared it to every system we've built across the GTM teams we've worked with. Then asked myself one question: If I had to reverse engineer this from scratch - what would it actually look like? Turns out the architecture isn't that complicated. I mapped the whole thing into a step-by-step playbook you can upload directly to any LLM. It walks you through building your own version from GTM strategy to fully AI-powered execution. Comment "GTM" and I'll send it over.
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adriane schwager
adriane schwager@aschwags3·
This quarter, I’ve closed multiple $1M+ without a slide deck. I’m using a single AI tool. Today, I want to share it, free. After signing, a prospect asked me how we created the site. They were so wow-ed they wanted it for their own clients. Here’s what floored them: it took a single designer 5 minutes to prompt and launch. The AI chains together 6 key parts of our sales process, turning a 18-page deck into a single, personalized website. When they asked, I gave them this template and workflow. Now I want to share it for free: Follow me + comment “GA” and I’ll DM it.
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Dan Rosenthal
Dan Rosenthal@dan__rosenthal·
I’ve NEVER seen a B2B company fail to scale with ABM when they build signal infrastructure that automatically scores, routes, and alerts. That said… I just built this ABM playbook for you to steal. 8 steps from ICP model to realtime CRM updates with intent signals and dedicated Slack channels for warm leads. I recorded a full video breaking down the entire workflow. It covers: • The 8-step framework from ICP to activation • How we track 1st, 2nd, and 3rd party signals • The awareness scoring model (5 stages) • CRM automation structure • How Slack channels keep reps focused on warm leads And a WHOLE lot more. Comment "ABM" and I'll DM you the guid3. PS - This is the same playbook we deploy for clients with $60K+ ACV deals.
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Taylor Haren
Taylor Haren@THArrowOfApollo·
Clay’s new pricing is probably my fault. We were paying $314 a month, but using (based on their new model) $214,087.50 worth of Clay a WEEK. Here’s the story: A year ago Clay's head of product hopped on a call with me. I told him we were hitting their platform 17.3 million times per week. Almost all custom events (i.e. HTTPs) I remember his response being something close to "Holy shit, I think you are the largest user of Clay" I said yeah that doesn't surprise me. But then it also came up that we were only paying $3,769 a year. We talked about HTTPs, custom integrations, how we were basically using Clay as a giant API orchestration layer. I knew his wheels were turning. If you saw my last post, you know we eventually replaced Clay entirely with a $200/mo Claude Code subscription. 272,000 leads per second vs Clay's 27 hours for the same volume. But before we left, we were the perfect case study for why Clay's old pricing was broken. $314/mo for 17.3 million weekly, for what they now call ‘actions’. Run the math. We were paying $0.00001815 per action. Clay announced their new pricing structure. They split everything into Data Credits and ‘Actions.’ Actions are HTTPs, custom integrations, API calls. The exact things we were doing 17.3 million times a week. The new price per action credit works out to about 1.24 cents each. A 681% price increase for us I know you might say, "But Clay is letting people stay on the old pricing if they want," and I hear you but I also don't know how it makes me feel that someone brand new would have to pay $856,350 per month to get the same advantages I had when I was starting out only 3 years ago. I'm not saying that one call caused the entire restructuring. But I am saying their head of product learned that day that someone was running 17 million HTTPs a week for the price of a nice dinner. And now every HTTP costs 1.24 cents. anyways For the last year, we've been trying to figure out how to get off of our dependency on Clay. That was until Cursor / Claude Code / Codex came out My VP of Growth, @James, who doesnt know how to write a single line of code, touched Claude Code for the first time And three weeks later he replaced Clay for us We could process 272k rows per second now for the cost of a Claude Code sub My last post was about that system Then after that post, Clay announces new pricing that specifically monetizes the exact thing we were doing at a massive scale. Coincidence? Maybe. But I may owe everyone using Clay an apology If your Clay bill just went up, you can probably blame me for that one. Sorry! I put together a system blueprint of what I did to replace Clay for myself -- every tool, the tech stack, a Clay vs custom comparison, and a 6-step playbook for building your own. Plus a video walkthrough where I show you the live system and how each tool actually works. Reply CODE below and I'll DM it to you.
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Taylor Haren
Taylor Haren@THArrowOfApollo·
We were Clay's largest user at one point in time, hitting their platform 17.3 million times per week. Last month we replaced them entirely with a $200/mo Claude Code subscription. I can't write code. Neither can James, my VP of Growth who built the replacement. Here's the full story. Clay is a GREAT product and I TRULY think most people should use it. But we hit their ceiling. 50,000 row limit per table. 12.5 million row cap per workspace. Tables that take days to actually delete. Clicking "run all" thousands of times and waiting days for things to clear out. So When you're processing millions of leads, all the above become the bottleneck of your entire business. James had never touched Claude Code before. Three weeks after learning it, he built our entire core system. With Clay, processing 1 million leads took 27 hours. And it would error out often enough that we would always have to plan on hitting the “run all rows” button again on 20+ clay tables. IYKYK but Our new system waterfall enriches 1 million leads in 5 seconds. 272,000 leads PER SECOND. AND On top of the core engine, we vibe coded a Google Maps scraper that pulls leads zip code by zip code across all 32,000 US zip codes. AND An AI lead finder that hits 95% contact match rates where Apollo gives you about 30%. AND Ad library scrapers for Google and LinkedIn. AND An AI campaign analysis system. AND An auto-refill system so clients never run out of leads mid-campaign. One we started building with Claude, we just couldn’t stop Now we have the data ready for clients sending 5 million emails a month within 1 week of signing the contract. I put together the full system blueprint -- every tool, the tech stack, a Clay vs custom comparison, and a 6-step playbook for building your own. Plus a video walkthrough where I show you the live system and how each tool actually works. Retweet or Reply CODE below and I'll DM it to you.
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Fivos Aresti
Fivos Aresti@fivosaresti·
Companies are going to start paying GTM Engineers $150K+/year. They can do it all: 1. Set up email infrastructure 2. Build targeted lists 3. Enrich data from multiple sources 4. Score leads into tiers 5. Route leads to reps 6. Run automated outbound 7. Build awareness scores 8. Orchestrate inbound systems That said... I put together a full cheatsheet that covers the entire role from start to finish... • Strategy plays for warm, signal-based, and cold outreach. • Data aggregation across CRM, 1st party, 2nd party, 3rd party, and database sources. • Data enrichment workflows to filter, normalize, score, qualify, and segment. • Data activation across outbound, RevOps, content, and ads. Plus full outbound and inbound sales workflow breakdowns... KPIs for production, distribution, and conversion... And a curated book list to go deeper. Whether you're a GTM engineer, sales leader, or founder doing outbound yourself... This is the only reference guide you need. If you want it for free: Comment "GTME" And I'll send it over ASAP. PS - This cheat sheet includes 20+ tools, 8 book recommendations, and frameworks used by top GTM teams generating millions in pipeline.
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Matthew Berman
Matthew Berman@TheMattBerman·
I run my meta ads with @openclaw for $0/month 😱 here's the system that runs autonomously: step 1: daily health check → social-cli (major shoutout to @vishalojha_me) wraps @Meta's marketing API (token refresh, pagination, rate limits all handled) → am I on track? what's running? who's winning? who's bleeding? any fatigue? → the same 5 questions I asked Ads Manager every morning for 20 years step 2: catch dying ads before CPA spikes → @OpenClaw pulls daily frequency by ad → frequency > 3.5 = audience is cooked, CTR is about to drop → this one signal saves more money than any dashboard step 3: auto-pause bleeders + shift budget to winners → CPA > 2.5x target for 48hrs? auto-pause. no hesitation. → ranks every campaign by efficiency. recommends shifting spend. → last fri it paused an $87 CPA campaign at 3am and scaled my best performer 30% step 4: write new ad copy from your winners → agent analyzes what's working (hooks, angles, CTAs) → generates variations based on the patterns in YOUR top performers → copy modeled on what already converts in your account. step 5: upload ads directly to your account → new creative + copy → live in @Meta Ads Manager → no more downloading, formatting, clicking through the upload flow → agent handles the entire publish cycle step 6: content concepts + morning brief → spots patterns across winners and suggests what to test next → delivers everything to Telegram, Slack, wherever you want it → 90 seconds to read. reply "approved." done. input: your ad account + your target CPA output: an AI that monitors, kills, scales, writes, AND uploads your ads dozens of hours in ad manager → 1 text message I packaged the entire system as the Meta Ads Kit. 5 @OpenClaw skills: - meta-ads (daily checks + auto-pause) - ad-creative-monitor (fatigue detection) - budget-optimizer (efficiency scoring + shift recs) - ad-copy-generator (writes variations from your winners) - ad-upload (publishes creative directly to your account) giving it away free. comment ADS + like + follow (must follow so i can DM)
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Matthew Berman
Matthew Berman@TheMattBerman·
I replaced a $200K GTM hire with @openclaw 😱 here's the system that runs my outbound: step 1: mine LinkedIn engagement → @rapidapi scrapes everyone engaging with niche content → someone who commented on specific posts = 10x warmer step 2: enrich + verify → Hunter/Apollo finds the decision-maker + email → @Perplexity deep research pulls signals like hiring, fundraising, media appearances, quotes step 3: score against your ICP → title, company, signals = ranked 0-100 → only A-tier leads get touched step 4: write personalized outreach → Claude writes outreach referencing what they ACTUALLY engaged with and talk about step 5: send via @instantly_ai → 3-email sequence. automated follow-ups. step 6: pre-call deep research → @PerplexityComet builds a 1-page briefing 30 min before every call input: your ICP + niche keywords output: booked meetings with people who already care $200K/year GTM engineer → $130/month in APIs. I packaged the entire system as the First 1000 Kit: - all 8 @openclaw skills - every prompt - tool-by-tool setup - email sequences that convert giving it away free. comment 1000 + like + follow (must follow so i can DM)
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Liam
Liam@iamliamsheridan·
outbound will never be the same after Claude Sonnet 4.6. dropped today. most people will use it wrong. there's a fine line between AI that makes you faster and AI that makes you sound like everyone else. we took a different route. we use Claude to make our human outbound operators 3-5x faster - not to replace them. that's why i put together a doc of Claude prompts built specifically for outbound pipeline. designed for $10K-$250K+ B2B deals. inside you'll find prompts to help your team: → analyse accounts and map buying committees in minutes → run 10-minute research before writing a single email → generate 3-5 cold email variants per angle without sounding like a bot → draft follow-ups based on specific replies and objections → prep talking points before outbound calls → tighten copy to avoid spam triggers and protect deliverability these aren't generic chatgpt prompts. they're built to make Claude think like a seasoned outbound operator plugged into a human-led engine. the best part? paste them straight in and go. comment "PROMPTS" and i'll send it over.
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Michelle Fang 🌁
Michelle Fang 🌁@michelleefang·
if you're vibe coding or building over the holidays, i want to gift one of you a 6 month subscription of claude pro to support <3 just drop a comment below. merry christmas!
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AI Guides
AI Guides@free_ai_guides·
Alex Hormozi helped thousands build $100M offers. So I made a Hormozi Mega-Prompt that turns ChatGPT into a value-creating machine: → Offer creation → Pricing models → Market analysis → Value stack generation → Pain-point insight extraction If you want ChatGPT to think like Hormozi, this is the one. Comment “Alex” and I’ll DM it to you.
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Nathan Brener
Nathan Brener@ntbrener·
Hoje estarei no maracanã para acompanhar Flu x Corinthians Os 10 primeiros que cravar o placar exato do jogo, leva uma banca de R$50,00 Regras: curtir o post e estar no meu telegram
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Nathan Brener
Nathan Brener@ntbrener·
QUE FORRRAA!!! Aposta foi enviada no meu vip que está com 50% desconto (interessados chamar na DM) Vou sortear 15 bancas! Basta curtir o post e comentar para participar
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Hayden Bowles
Hayden Bowles@bowlescapital·
ChatGPT is a free money printer. But 99% of people don't know how to make money using it. That's why I've found 20+ smart ways to make $10k/month with ChatGPT. For the next 48hrs, it's FREE! Like, RT & Comment "GPT" And I'll DM it to you. (Must Be Following Me)
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