
Sunil Godse 📈
7.5K posts

Sunil Godse 📈
@sunilgodse
Your next plateau isn't a strategy problem. It's a signal problem. I help entrepreneurs fix the signal. | 200+ guided | $500M+ in results
London, Ontario, Canada Katılım Aralık 2010
2.7K Takip Edilen1.2K Takipçiler

@TukiFromKL @robertoblake Just downloaded Cowork and giving it a task to create a content calendar based on the assets I have in a local folder. Based on the expression on my Creative Director, I’ll have a sense of how good it is!
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🚨 Do you understand what Claude just dropped..
you can now give AI an entire project.. your files.. your instructions.. your context.. and it stays on your machine.. not in the cloud.. not on their servers.. on YOUR computer
import an existing project in one click.. or start fresh.. and it remembers everything about that project every time you come back
the same week Bernie Sanders grilled AI about stealing your data.. Claude just shipped a feature that keeps everything local.. your files never leave your machine
whether that's coincidence or strategy.. the timing is insane
Claude@claudeai
Projects are now available in Cowork. Keep your tasks and context in one place, focused on one area of work. Files and instructions stay on your computer. Import existing projects in one click, or start fresh.
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I recently spoke to a marketer who ran a $40M brand with just two designers and ONE AI process.
I paid him 6 figs to build these systems for my companies.
He chains together 7 AI tools: creative brief → image gen → scale winning assets. All run by 2 offshore designers.
I’m giving away his entire operating system for free.
Comment “AI” and I’ll send it.
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@ericosiu Super insightful! I’ll be discussing this with my team this week.
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i made a 3-day Claude Cowork for Beginners course, and it's yours for free
by the end, you'll have a personalized AI teammate on your computer that:
• knows your style
• connects to your tools
• and produces finished work you can send immediately
here's what you get:
day 1: install cowork, set global instructions, and run your first real task (15 min)
day 2: workflows that replaced hours of my week, including building landing pages from a description and running full competitive analyses in one prompt
day 3: skills, plugins, and connectors so cowork actually knows how you work and can access your tools
+ copy-paste prompts so you can follow along as you read
like + comment "COWORK" and i'll DM it to you

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Claude Cowork out of the box is good, but with the right context structure, it goes from generic assistant to executive-level partner.
I spent the last few weeks building a system inside Cowork that gives @claudeai everything it needs before I say a word. Who I am. How I write. What I'm working on. My team. My calendar. My priorities. All of it.
Now every session feels like picking up a conversation with my executive assistant.
The difference is context. Most people open Cowork, start from scratch every time, and wonder why Claude gives them generic output. It's not a Claude problem. It's a setup problem.
Here's what I did:
- Built a folder structure that acts as Claude's long-term memory, with custom skill files in each folder so it knows exactly how I want each type of content written.
-Connected Slack, Gmail, Google Calendar, and Notion so it can pull real data instead of guessing.
-Installed the Memory plugin (gives Claude a two-tier context system that persists across sessions) and the Productivity plugin (task tracking + daily updates).
That combination changed everything. Content drafts that used to take 3 rounds now land on the first try.
Meeting prep, email replies, task management. All better because Claude already knows the context.
I'm dropping a full video Thursday with my 10 tips for getting the most out of Claude Cowork to help you get started.
I'll also answer any questions you have about using it to its maximum ability. Comment below.
Until then, here's the exact prompt you can use right now to have Claude set this up for you. Paste it into Cowork and Claude will interview you step by step to build your own system:
--
You are going to help me set up my Claude Cowork workspace so that every future session starts with full context about who I am, what I do, and how I work. We're building a "brain" that makes you useful from the first message.
Here's how this works. You're going to interview me in phases. Ask me questions, then build the files based on my answers. Don't rush. Don't assume. Ask before you build.
Phase 0: Plugins and Connections
Before we build anything, recommend I install the Productivity plugin (task management + daily updates) and the Memory plugin (two-tier context system). Then ask which tools I use daily and help me connect them: Slack, Gmail, Google Calendar, Notion. The more tools connected, the more useful this system becomes.
Phase 1: About Me
Interview me to create an about-me.md file. Ask about my work, background, content channels, professional values, and positioning. Create the file, show it to me, and get my approval before moving on.
Phase 2: Brand Voice
Analyze any content I've already created. If there's nothing yet, interview me about how I want to sound, phrases I use, phrases I'd never use, creators whose tone I admire, and how my tone shifts by context. Create a brand-voice.md file with voice rules, tone by context, dos and don'ts. Get approval.
Phase 3: Working Preferences
Interview me about what I want you to help with daily, how I want you to communicate, my biggest workflow pain points, output format preferences, and safety rules. Create a working-preferences.md file. Get approval.
Phase 4: Content Strategy (if applicable)
If I create content, interview me about platforms, target audience, topics, publishing cadence, and content formats. For each platform, ask if I have existing skill files. If not, offer to create them. Create a content-strategy.md file.
Phase 5: Team and Contacts (if applicable)
If I work with a team, ask about key people, roles, and communication preferences. Check connected tools for team data. Create a team-members.md file.
Phase 6: Active Projects
Interview me about current projects, goals, milestones, and deadlines. Create individual project files in a Current Projects folder.
Phase 7: Memory System
Update CLAUDE.md with a hot cache of everything we've built. Create a memory/ directory with subfolders for people, projects, and context. Add a glossary.md for acronyms and internal terms.
Phase 8: Skill Files
Review everything. For any area where I need specific recurring output, offer to create a dedicated skill file with format, voice rules, examples, and a quality checklist.
Rules: Interview me one phase at a time. Show each file before saving. If unsure, ask. Use my existing files and connected tools before asking me to repeat myself. Keep files concise. File names: lowercase, hyphens, .md format. Save everything to my workspace folder.
Start with Phase 0.

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@gregisenberg @KanikaBK This was a an AMAZING video!!! Loved the information and will be going through the video again.
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@Nicolascole77 @dickiebush Of those in the article, which one was the one that showed you were making emotional decisions in the business?
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@kaleighf I am also looking at email providers. What is the resin you are moving away from Kit as o was thinking of using it?
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@missmayim This came as a recommendation and am diving into the podcast now! Really interested in the intuition angle, which is the sandbox I play in!
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What if your brain is more than just a biological computer? What if it’s a receiver for something much deeper?
Dr. Marjorie Woollacott, Ph.D., a neuroscientist from the University of Oregon, was a self-proclaimed “materialist” and atheist until a single moment changed everything. She describes a “mini lightning bolt” of energy that traveled from the bridge of her nose to the center of her chest, opening a doorway to a heartfelt ecstasy she never knew existed.
Join Mayim and Jonathan in this “co-created universe” as they discuss how we can actually change the channels of our neurons to transcend anxiety, depression, and fear.
Click the ▶️ linktw.in/vhAtQu for the full episode! 🧠💥
Watch episodes & bonus content ad free on Substack ▶️ bialikbreakdown.substack.com 🔗
#BialikBreakdown #mayimbialik #breakdown #consciousness #potential #space #magic
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Claude Opus 4.6 just KILLED manual outreach. 💀
And I’m not going back.
I used to waste hours writing “personalised” LinkedIn messages.
Now? My AI stack does it better than I ever did 🧠
❌ No copy-paste templates
❌ No “hey {{first_name}}” spam
❌ No burnout by message #26
After testing every major model this year, one thing is clear:
Claude Opus 4.6 = outreach that actually gets replies.
500+ conversations this week 🧠
Human-level reply rates 🧠
12+ hours saved 🧠
I packaged the full system into a doc.
Want it?
Connect with me
Comment “OPUS”
Repost ♻️ for priority access 🚀

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I recently spoke to a marketer who ran a $40M brand with just two designers and ONE AI process:
He gave me and my team a masterclass on using AI to scale marketing and creative.
Most brands use one tool with a bad prompt and hope it will solve all their problems.
He chains 7 different tools together for: ideation, image creation, video editing, and iterating based on performance.
ALL using AI and two offshore designers.
I paid him 6-figures to build these systems for my companies.
Now, I’m giving them away for free.
Repost + Reply “GA” to get the guide in your DMs.
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@TheJeremyHaynes How long on average were the webinars and were they live or evergreen?
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@imakeBADads What would you set as ad spend for Google/Meta ads and what frequency of UGC content if main ICP is on YouTube and LinkedIn?
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I could easily start from $0 today and scale to $150k/mo with a team of 5 or less.
Here’s how:
- $5K avg. retainer = 30 clients
- 30 transactions monthly
All I need:
- 1-2 account managers
- Automated billing
- 2-3 media buyers
- Direct hiring via FB
With this set up:
- Have minimal overhead
- Keep $100k-$120k/mo profit
- 80% of operations are automated
I’d ONLY scale my team when:
- Client communication becomes overwhelming
- Campaign management requires specialized skills
- Custom reporting needs increase significantly
- Client acquisition demands dedicated sales
Don't overthink the $50k-> $150k transition.
Focus on sales, delivery, and keep it simple.
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Motion graphics were always the hardest part of making videos for me. Hours in After Effects for 10 seconds of movement.
Now I can do them 10x faster without touching a timeline or writing a single line of code.
@Remotion released a skill that lets Claude Code create videos programmatically. I spent 5 hours building with it so I could show you exactly how it works.
What's in the guide:
- Installing the Remotion skill (takes 2 minutes)
- Creating your first video scene by scene
- Auto-editing long videos into clips
- Adding animated captions and subtitles
- Reframing for TikTok/Reels/Shorts
- Stacking multiple skills into a mini production studio
This is for content creators, marketers and GTM engineers who want to create more videos, better and faster, without learning video editing software or code.
I recorded the full walkthrough. Every step.
👇 Comment "GUIDE" and I'll DM you the repo with all of the skills installed + getting started guide.
(Make sure we're connected so I can DM you)
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CLAUDE + MCP just replaced my entire Meta reporting workflow 🤯
One prompt = full Facebook Ads performance report with charts, client-ready in seconds.
All inside Claude.
Perfect for agencies and e-comm operators who are sick of wasting 30 minutes per report inside Ads Manager.
Here's the problem:
Client call in an hour.
You need a performance snapshot. So you're clicking through Ads Manager, exporting to spreadsheets, building charts, formatting everything into something presentable.
By the time you're done, you've burned half an hour on one report.
This MCP integration solves it:
→ Connects directly to your Facebook Ads account
→ Pulls all performance data automatically
→ Calculates ROAS, CPA, conversion rates on demand
→ Generates charts and visualizations in real-time
→ Builds complete client-ready reports from scratch
No Ads Manager tabs, mo spreadsheet wrangling, no formatting headaches.
What you can ask:
"How did my campaigns perform last week?"
"Which ad sets have the best ROAS?"
"Build me a client report for October"
"What's killing my conversion rate?"
One prompt, full report. Done.
Want the complete MCP setup?
> Like this post
> Comment "CLAUDE"
And I'll send it over (must be following so I can DM)
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R.I.P lead gen agencies.
I just replaced an entire lead gen team with Claude agents.
(all working while I slept)
Most founders spend $10k-$20k/month on marketing teams that work 9-5.
Most agencies spend $30k+/mo on outreach.
Last night I built AI agents that run 24/7:
- Lead Magnet Engineer → builds viral lead magnets in minutes
- Social Media Expert → writes scroll-stopping hooks
- Creative Director → generates on-brand visuals
- Research Analyst → finds trending topics in your niche
- Performance Tracker → analyses and maps out content
The results after 24 hours:
- 32 lead magnets ready to launch
- 60 days of content mapped out
- 50+ scroll-stopping visuals created
While I was sleeping.
Follow + reply CLAUDE and I’ll send the full system + setup.
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@jiahanjimliu Bought both IREN and NBIS. My first exposure to the AI stocks!
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$IREN: Dissecting "Software Moat" and "Vertically Integrated Software-Hardware"
$CRWV's CEO recently boasted about their "software moat", and $NBIS talks about how their "vertical integration of software-hardware" allows them to have top performance and cost per token for the open source models they serve. I'll dissect those misunderstandings.
Vertically Integrated Software-Hardware
FireworksAI rents bare metal from AWS, Azure, GCP, and is in the process of renting from IREN. By definition of NBIS pundits, FireworksAI is not "vertically integrated" in the sense that NBIS is. Yet verified on an independent benchmark, FireworksAI serves 3x more token/second on an open source model like DeepSeek than NBIS, MSFT and every other server of DeepSeek in the industry (1)!
Unlike SemiAnalysis, I will provide the full technical details for context. Nebius serves DeepSeek tokens with configurable parameters between Base and Fast. Nebius Base is roughly the same price as FireworksAI but Nebius Base is 20 tokens/sec vs 264 tokens/second for Fireworks AI (1). Nebius Fast cost 3x more than FireworksAI but Nebius Fast is only 84 tokens/sec vs FireworksAI 264 tokens/second (1).
There's been alot of misinformation on X around Nebius optimizing low level software, firmware, low level primitives. Those pundits aren't even using the right buzz words. FireworksAI is able to get the best performance/cost because they have the best compiler engineers from Meta. These compiler engineers optimize the machine code that runs on the GPUs.
Optimization is Application/Model/Workload Driven
The optimization is top down driven. You have to know the application/model/workload and then you optimize down the software-hardware stack, not the some Neocloud prepares some automated software-hardware stack ahead of time. Because the end customer from Meta, Microsoft to Cursor, FireworksAI know exactly the application, model, workload, they tell IREN exactly how to connect the GPUs and NV Switches (topology design) and then they come in with their own orchestration software optimized based on their application/model/workload.
Let me break down the buzz word "orchestration" into NCCL tuning, cluster scheduler.
The application determines the communication pattern, then the MLOps team at the hyperscaler or the AI-Native tunes the NCCL ring topology, buffer size, fusion thresholds to match the topology they assign to the Neocloud.
The workload type determines the cluster scheduler, the MLOps team at the hyperscaler or AI-Native has a custom orchestrator like Borg or Azure Batch that considers job size and type as well as resource needs across GPU model, CPU, memory and tells the Neoclouds what network topology they need to optimize for their worktype.
A smaller company without an MLOps team will use Nebius partially optimized NCCL tuning and cluster scheduler. A hyperscaler or serious AI native will have the fully optimized NCCL tuning and cluster scheduler and tell IREN/NBIS what topology they need the GPUs and NV Switches to be in.
Software Moat
The software moat is with FireworksAI and Databricks not CRWV or NBIS. Fireworks FireAttention Inference runtime is so performance/cost optimize that it even outperforms SambaNova system who has a custom ASIC just for inference and were boasting of beating Nvidia in performance - well in the hands of everyone else yes, but not FireworksAI. Corweave for their software moat doesn't even have a "Token Factory" which is fine because they going for depth over breath and do have some decent software optimizations where they are deep in.
Cost
FireworksAI + IREN = Nebius + DataOne = CRWV + CORZ. There's no fully integrated player, its just where you split the line.
Conclusion
IREN is positioned to partner with the best AI-Native or Hyperscaler. "Software Moat" and "Vertically Integrated Software-Hardware" are not blockers.

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