Sam Hysell

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Sam Hysell

Sam Hysell

@samhysell

Culture | Content | Commerce Partner @noxnado 🌪️

Brooklyn Katılım Ağustos 2011
1.5K Takip Edilen4.9K Takipçiler
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Sam Hysell
Sam Hysell@samhysell·
Grateful that @NOXnado was featured by @tryramp@Nasdaq on a billboard in Times Square in NYC. I remember the days when I commuted from Fordham University in the Bronx through Times Square to The Alley coworking space for various roles as the NYC startup/tech ecosystem was taking shape. Flash forward about 10 years to today, and seeing NOX on a billboard there is pretty surreal. Grateful for all of the team members, partners, clients and communities we’ve helped build. Grateful for all that we’ve accomplished, the challenges we've navigated and everything that’s in store for the future. P.S. We’re actively hiring for some full-time and part-time roles (i.e. Account Manager, Digital Strategist, Content Creators/Video Editors). All details can be found via the link in the next post. Please don’t hesitate to reach out and/or apply, or pass it along to somebody you think could be a great fit. 💜🙏📈
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Mike Futia
Mike Futia@mikefutia·
I just built an AI marketing team in Claude Code: 5 agents that research, brief, write, and report while I sleep 🤯 One prompt → a competitor researcher, a brief writer, a hook generator, an ad copy writer, and a performance reporter, all working together inside Claude Code. The researcher feeds the brief writer. The brief writer feeds the hook generator and copy writer. The performance reporter closes the loop. Perfect for DTC brands and agencies who are running every part of the creative production loop manually: Researching competitors in one tab, writing briefs in another, generating hooks from scratch, rewriting ad copy by hand, and pulling performance reports into a spreadsheet nobody reads. This agent team eliminates the entire loop, all inside Claude Code: → Agent 1 (Competitor Researcher): scrapes competitor ads, extracts winning hooks, maps creative strategies, builds a competitive brief → Agent 2 (Creative Brief Writer): reads the research output + your ad performance data and writes a data-backed creative brief → Agent 3 (Hook Generator): takes the brief and writes 20 hooks across 10 proven frameworks → Agent 4 (Ad Copy Writer): takes the brief + hooks and writes full ad copy variations for each persona → Agent 5 (Performance Reporter): audits your ad data, flags creative fatigue, and tells Agent 1 what to research next week No manual handoffs between steps. No rewriting context every session. No starting from scratch every Monday. What you get: > 5 specialist agents that pass work to each other automatically > A full creative production pipeline from research → brief → hooks → copy → report > Every agent reads your brand voice and ICP files so the output sounds like you, not generic AI > A weekly loop that compounds — each cycle gets smarter because the reporter feeds next week's researcher > Built with sub-agents so it works on any Claude Code plan, no experimental flags needed I put together a full playbook with all 5 agent system prompts, the coordination workflow, and the exact setup to get this running. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)
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Alex Bouaziz
Alex Bouaziz@Bouazizalex·
Calling it now, Agent operations is going to be one of the biggest role of H2 26 & 2027.
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Mike Futia
Mike Futia@mikefutia·
Claude Code Routines just changed the game for DTC brands 🤯 Configure a prompt, a repo, and your connectors once → it runs on Anthropic's cloud on whatever schedule you set. Your laptop can be closed. You can be asleep. The routine runs anyway. Perfect for DTC brands and agencies who have Claude Code workflows they run manually every morning but keep skipping when the week gets busy. If you're pulling Meta Ads data, cross-referencing GA4, checking Shopify, and trying to piece together what happened yesterday — every single morning — this automates the entire loop: → Set up a Daily Performance Analyst routine with your brand context + connectors → Claude pulls Meta, GA4, and Shopify data on schedule → Compares every metric to 7-day and 28-day trailing averages → Flags anomalies before you're out of bed → Posts a 60-second brief to Slack every morning at 6am No laptop open. No terminal running. No remembering to kick it off. What you can build on top of it: → A nightly competitor ad monitor that checks 5 competitor pages and flags new ads while you sleep → A weekly creative performance review that identifies fatigue signals and recommends next tests → A customer review digester that extracts pain language for your ad copy pipeline → A Friday executive brief that synthesizes all of it into one strategic summary And your existing Claude Code skills work inside routines automatically. Commit them to the repo, reference them in the prompt, done. I put together a full playbook: the setup path, 5 DTC workflows with exact prompts, and how to layer skills + routines together. Want it for free? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)
Claude@claudeai

Now in research preview: routines in Claude Code. Configure a routine once (a prompt, a repo, and your connectors), and it can run on a schedule, from an API call, or in response to an event. Routines run on our web infrastructure, so you don't have to keep your laptop open.

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Alex Vacca
Alex Vacca@itsalexvacca·
Giving away the exact Custom Skills Folder we use inside Claude Code to write our cold email sequences at ColdIQ. Trained on the same emails that have generated over $10M for our clients. Plus the master prompt we engineered to clone their buyer psychology. I've tested every AI model for cold email. ChatGPT. Gemini. Grok. They all produce okay copy. But okay doesn't get replies. Claude Code is the first one that changed that. It doesn't come off as AI. It comes off as your best AE on a good day. How it works: > Drop in a target website, a LinkedIn URL, or a detailed ICP > It returns a 3-step outbound sequence > Fully optimised for Instantly > Under 45 seconds, start to finish It feels conversational. Opens strong. Ready to launch in your campaigns. Most people are still prompting ChatGPT to "write a cold email." This is what running 7-figure outbound in the background actually looks like. Want the Skills Folder, the master prompt, and the full system? → Like this post and follow me → Comment "EMAIL" and I'll send you the link.
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Mika Reyes ⚡️ time-rich founder
Anyone want to have Claude coworking sessions in NYC sometime this week/weekend? Go to a cafe, just build our own skills, projects, wtv and riff on what we're building. I'm already doing this myself. Would be fun to do with others!
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Sam Hysell
Sam Hysell@samhysell·
releasing a song tmrw... long time coming. blessed with vocals by somebody very special 👀
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Erik Torenberg
Erik Torenberg@eriktorenberg·
The future of marketing is buying creators/media properties
John Coogan@johncoogan

TBPN has been acquired by OpenAI! The show is staying the same and we’ll continue to go live at 11am pacific every weekday. This is a full circle moment for me as I’ve worked with @sama for well over a decade. He funded my first company in 2013. Then helped us fix a serious logjam during a critical funding round a few years later. When I took my second company through YC, he was president at the time, and then when I joined Founders Fund, the first deal I saw in motion was the post-ChatGPT round in late 2022. And as we started growing TBPN last year, he was the very first lab lead to join the show. Thank you to everyone that has been a part of TBPN until now. The last year has been the most fun and rewarding part of my career and we’re excited to have more resources than ever going forward.

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GREG ISENBERG
GREG ISENBERG@gregisenberg·
sequoia put out a blog post called "services is the new software" look at this map of over $1T in services being replaced by AI agents
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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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Mike Futia
Mike Futia@mikefutia·
Claude Cowork just got computer use and it's absolutely insane 🤯 Schedule a task once → Claude opens your browser, logs into Meta Ads Manager, pulls your performance data, analyzes your creatives, and saves a finished brief to your computer. Every morning, while you sleep. All inside Claude Cowork. Perfect for DTC brands and agencies who are still manually pulling ad reports, screenshotting competitor ads, and copy-pasting data between tools every week. If you're running Meta Ads and your weekly workflow looks like this — log into Ads Manager, export a CSV, open it in a spreadsheet, try to figure out why CPAs spiked, screenshot competitor ads from the Ad Library, paste everything into a doc, write a brief from scratch ... Claude Cowork now does the entire thing without you touching your keyboard: → Opens Chrome and navigates to your Meta Ads Manager → Pulls performance data across every active creative → Opens the Meta Ad Library and checks 5 competitors for new ads → Analyzes hook performance, fatigue signals, and winning angles → Writes a creative brief in your brand voice → Saves everything as real files directly to your computer → Runs on a schedule — daily, weekly, whatever you set No CSV exports. No copy-pasting between tools. No sitting at your desk pulling reports. What you get: → A daily performance snapshot without opening Ads Manager → Competitor ad monitoring on autopilot → Creative fatigue signals before CPAs blow up → A data-backed brief your creative team can execute immediately → All of it running while you're getting coffee, at the gym, or on your phone Send a task from your phone. Claude picks it up on your desktop. You get the finished deliverable. I put together a full playbook with the exact setup, the prompts, the scheduled task configuration, and 5 DTC workflows that use computer use. Want it for free? > Like this post > Comment "CLAUDE" And I'll send it over (must be following so I can DM)
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kepano
kepano@kepano·
your edge is whatever you know that the models don't know
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Alex Vacca
Alex Vacca@itsalexvacca·
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.
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Chris
Chris@everestchris6·
This OpenClaw bot finds & reaches out to creators on autopilot... My client uses it to sign 100's of creators to his agency, here's how it works: - Finds 100's of creators via YouTube & Twitch - Scores every channel by views, niche & fit - Writes fully personalised emails for each one - Sends follow-ups automatically until they reply - Flags responses and books calls without you touching it - Runs 24/7 while you focus on closing Reply "OpenClaw" and I'll send you the full breakdown of how you can do it too (must be following so i can DM)
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Peter McCrory
Peter McCrory@PeterMcCrory·
This is an extremely important point and touches on some of the most important questions to tackle: What new work may emerge? And how fast? And how do we support those contending with disruption during the transition?
Brendan McCord 🏛️ x 🤖@Brendan_McCord

Mockup of how would @AnthropicAI's new labor automation chart would've looked 200 years ago. For our ancestors, the outer ring would be almost unrecognizable. "Computer & math" was nonsensical. Medicine and law were tiny and barely professionalized. The first photo was just about to be taken, so it would have been unfathomable to have a single blockbuster gross more than the entire gross national product of that period. "Office & admin" barely existed as a concept; counting-houses employ a tiny literate class. Agriculture alone consumed maybe 70-80% of the labor force in the US. There was a thick band of artisanal trades that don't map onto any single modern category: coopering, blacksmithing, weaving, tanning, milling. Clergy was a major professional category and Maritime labor was its own significant sector.

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Mike Futia
Mike Futia@mikefutia·
Claude Code Agent Teams are f*cking ridiculous 🤯 One prompt → a team lead breaks your project into pieces, spins up multiple AI agents, and they all work on different parts simultaneously. Research, builds, reviews, and debugging: all happening at the same time. All inside Claude Code. If you're running complex projects where every step waits on the last one... Agent teams eliminate the entire bottleneck: → Tell Claude what you need and describe the team structure in plain English → A lead agent breaks the work into a shared task list → It spawns 3-5 teammates — each with their own context and workspace → Teammates research, build, test, and review in parallel → They message each other, share findings, and challenge each other's work → The lead synthesizes everything into a finished deliverable No managing agents yourself. No waiting for step 1 to finish before step 2 starts. No single-lens reviews that miss half the issues. What you get: → Competitive research across 5 brands done in minutes instead of hours → Multi-component builds where frontend, backend, and data layers happen simultaneously → Creative reviews from 3 different angles at once — brand voice, conversion, differentiation → Funnel debugging where 4 agents investigate 4 theories and debate until they find the real answer Built 100% in Claude Code with one settings change. I put together a full DTC playbook: 5 workflows with copy-paste prompts, the exact setup process, token management tips, and honest guidance on when agent teams are worth it vs. when a simpler approach is the better move. Want it for free? > Like this post > Comment "AGENTS" And I'll send it over (must be following so I can DM)
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Mike Fishbein
Mike Fishbein@mfishbein·
OpenClaw manages our entire HubSpot through Slack now. It pulls deal data, makes updates automatically, flags stalled pipeline, and creates re-engagement angles. No more "I'll update HubSpot after the call" (never happens). No more stalled deals hiding in your pipeline. Here's what OpenClaw does for us: • Pulls live deal + contact data instantly when we ask "what's the latest with Jim?" • Pipe Check - shows all active deals as a formatted table by stage + amount on demand at our standup meetings • Auto updates deal amount, next action, follow-up date, etc. • Heartbeat - Recurring checks for for stalled deals (no activity 5+ days) or missing next actions, messages us on Slack with action steps • Moves deals to Closed Won (yay!) You need 4 context files to get it cooking: SOUL .md defines the persona as direct and data-driven USER .md captures the team and pipeline stages TOOLS .md is a full Hubspot CLI command reference HEARTBEAT .md tells the agent to run a daily pipeline check and flag anything with no activity in 5+ days. I'm excited about where this goes next: → auto-updates from meetings. OpenClaw listens to our standups and takes actions. → email integration. connect inbox and it updates stages when contracts get sent, and closes deals when signatures come back. → proactive deal coaching. OpenClaw notices a deal has been in "proposal sent" for 8 days with no follow-up. it drafts the follow-up email, suggests a re-engagement angle based on the last conversation, and asks if you want to send it.
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JJ Englert
JJ Englert@JJEnglert·
I built the ultimate GTM Engineer AI Toolkit that handles prospect research, outreach writing, meeting prep, and more in minutes. This is a beginner-friendly walkthrough that shows you exactly how to set it up, use it at work, and personalize it to your business. It can: - Research real prospects and companies - Score accounts against your ICP - Write personalized cold outreach sequences - Generate meeting prep briefs before calls - Help you build a repeatable prospecting pipeline - All using a free toolkit + Claude Code / Codex. This is for SDRs, founders, marketers, and GTM operators who want to use AI to do more at work without buying another expensive tool. I break down the full workflow step by step in the video. 👇 Comment "GTM GUIDE" and I’ll send you the full toolkit. (make sure you're following me so I can DM you)
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Manoj Kumar Shah
Manoj Kumar Shah@techxmanoj·
I just vibe coded a static ad generator in Claude Code that creates 100+ Facebook ads in minutes 🤯 One competitor ad + your product photo + your brand kit = dozens of on-brand variations, each targeting a different customer persona. Built 100% in Claude Code. Perfect for DTC brands and agencies who need more statics at scale. The problem: You find a winning ad concept and want to test 20 variations of it. That means briefing a designer, waiting days, getting back 4 options, giving notes, waiting again. Or doing it yourself in Canva for hours. This tool solves it: → Upload any competitor ad as your reference template → Add your product photos and brand kit (colors, fonts, logos) → AI generates 10 customer profiles from your brand research → Pick how many variations you want (10, 20, 30) → Tool generates on-brand ads with persona-specific copy for each one No designer back-and-forth. No Canva templates. No generic "Shop Now" on everything. What you get: → Ads that mirror winning concepts in your brand's voice → Copy targeted to specific customer pain points and personas → Multi-brand/client support with saved brand kits → Reusable customer profiles you build once and generate from forever I recorded a full walkthrough showing exactly how this works, including ALL the prompts I used so you can build it yourself. Want access to all the prompts for free? > Like this post > Comment "STATICS" And I'll send it over (must be following so I can DM)
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Sam Hysell
Sam Hysell@samhysell·
@gmoneyNFT G Money!! Hope all is well brother. Would love to join these. Just shot you a dm.
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gmoney.eth
gmoney.eth@gmoneyNFT·
doing an AI online meetup at 2pm est. format is: 20 mins: going around the room 1 thing i picked up this week(1 min shares) 20 mins: hot seat someone shares an issue they're dealing with and we try to help and offer advice in real time 20 mins open discussion dm me for link.
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