Krishang Sheth retweetledi
Krishang Sheth
187 posts
Krishang Sheth
@krishang_sheth
Co-Founder https://t.co/aEe4MCf2TF
Mumbai, India Katılım Ocak 2021
180 Takip Edilen31 Takipçiler
We built 12 Claude Code skills that run our entire paid media ops across Google, Meta, and LinkedIn at ColdIQ (and we're giving the whole pack away).
Our head of growth Ivan Falco runs $200K/month in ad spend from a terminal. It's how we doubled client load this year without losing quality.
The skills do the work that used to fill our media buyers' calendars: spot creative fatigue, adjust bids, upload audiences, run bulk edits, flag broken campaigns, build reports.
Each skill does a specific job:
Google Ads:
→ keyword-analyzer: audits quality scores and finds keyword gaps
→ negative-keywords: reviews search terms and blocks wasted spend
→ performance-auditor: compares periods and flags what changed
→ search-terms: surfaces queries burning budget with zero conversions
Meta Ads:
→ audience-builder: turns CRM lists into custom audiences
→ creative-fatigue-analyzer: spots declining CTR before the metrics flag it
→ fatigue-monitor: flags when your audience is saturated
→ spend-tracker: tracks budget pacing across every campaign
LinkedIn Ads:
→ audience-builder: builds targeting audiences at scale
→ bid-optimizer: adjusts bids across campaigns in bulk
→ bulk-editor: mass edits campaigns, ads, and naming in seconds
→ creative-builder: generates ad creatives from brand specs
You drop them into Claude Code, connect your ad accounts, and tell it what you need. It reads the skill, plugs into the platform, executes.
300+ hours of work went into building these.
Comment ADS and we'll send all 12 over.
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Krishang Sheth retweetledi
The businesses getting the most out of AI right now aren't tech companies.
They’re plumbers, agency owners, dentists, Etsy sellers.
New data from @OpenAI (cc @RonnieChatterji) makes the pattern clear: tech startups account for about 5% of ~active~ U.S. users doing entrepreneurial work with ChatGPT.
The other 95% are spread across services, retail, healthcare, and trades.
AI adoption for entrepreneurship isn’t concentrated in tech. It’s happening inside everyday businesses, folding into routine work that used to be slower or outsourced or entirely overlooked.
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I finally cancelled my Clay subscription.
(And before the "how do you live" comments start: I’m officially on the Free Plan now. Screenshot attached.)
I haven’t stopped using it.
I just stopped paying for it.
A year ago, this wouldn’t make sense.
Now?
Claude Code can handle a big chunk of what people were using Clay for.
→ Lead sourcing
→ Enrichment
→ Filtering
→ Basic workflows
All doable without paying for Clay.
Which raises a slightly uncomfortable question:
How many people are paying for Clay… out of habit?
And not necessity.
Because if you’re running things yourself…
You probably don’t need a paid plan anymore.
You can offload way more than you’d expect.
Things like:
→ lead sourcing, enrichment & qualification
→ personalization of messages
→ campaign top-ups into your sequencer of choice
Which means you’re not burning credits on every step.
That said…
This doesn’t mean Clay is “dead”.
It just means the role is changing.
Something that I Slacked Mohamed Chahin about this weekend.
So, I recorded a video explaining:
→ what the tech stack for 2026 looks like
→ where Clay can be replaced by Claude Code
→ where Clay cannot be replaced
→ how to decide if you need to explore the new tools like Claude Code
This is exactly how I’m running things right now.
If you want in:
Comment “STACK” and I’ll send it over.
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Krishang Sheth retweetledi
I have changed my mind on how AI will impact jobs in America.
Previously, I believed AI would replace many entry level roles typically filled by young employees. The technology would then work its way up the organization and eventually reduce the total number of jobs in a company.
The data is saying something different, so when I get new information I am willing to change my mind.
The number of software engineers being hired has been increasing. The number of open software engineer roles is growing.
The number of new college grads who get hired has increased 5.6% over the last 12 months. The unemployment level for people aged 20-24 years old who have a college degree has fallen from nearly 9% to almost 5% as well.
The Wall Street Journal recently wrote “AI created 640,000 jobs between 2023 and 2025 in the U.S., according to an analysis by LinkedIn of job posting data, including new white-collar positions such as Head of AI and AI engineer.”
And I am starting to see companies throughout our portfolio aggressively hiring to keep up with the demand for their products and services.
If AI can make employees more productive, which is widely accepted as fact, then companies are going to want as many productive units of labor as possible. This is a key reason why I am changing my mind.
AI appears to be a magical technology that will make companies more productive and more profitable. The net result will be more corporations, more startups, and more jobs.
All three are big, positive wins for the American economy.
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The agency owners who figure out Hermes in the next 90 days are going to look like geniuses in 2027.
The problem is most agency owners don't have time to figure out the install, where to start, or what to actually hand it first.
So my team built an 83-page playbook that does it for you.
Inside:
— The 5 daily prompts that turn it into a second brain
— Plain English setup for Mac, Linux, and Android
— How to lock it down without torching client data
— 8 copy-paste workflows across reporting, outreach, sales, and ops
— The cron trick that drops token spend by 90%
Your competitors are sleeping on this.
Comment HERMES and I'll send it.
GREG ISENBERG@gregisenberg
how to set up hermes agent step by step. built-in memory, 40+ tools, works on your phone, and what to think of hermes vs openclaw: 1. hermes is a personal AI agent that runs in your terminal. think of it like open claw but with built-in memory, 40+ tools out of the box, and 90% cheaper token costs. you install it with one command. 2. the 3 problems with open claw that hermes solves: no memory (you keep repeating yourself), constant gateway restarts, and zero visibility into what you're spending on tokens. 3. hermes remembers everything. every completed task gets saved to memory. it searches through past logs to find solutions. over time it literally gets smarter at your specific workflows. 4. connect it to open router. you see exact costs per model per task. free models rotate weekly. one founder went from $130 every five days on open claw to $10 on hermes. same output. 5. it comes preloaded with skills. apple notes, imessage, find my, browser, web search, image generation, cron jobs. no hunting for plugins. 6. connect it to obsidian so it reads your entire vault. connect it to gstack for your dev environment. create custom skills for your specific workflows. 7. the biggest money saver: have it write code once for recurring tasks. then it runs without burning tokens every time. stop paying an LLM to do the same scrape or report daily. 8. run it on android via telegram. name your agents. talk to them like coworkers. in this episode imran shows you how to set this up. 9. you can run it bare metal, in docker, or serverless on modal. pick your risk level. i begged @imranye to come on @startupideaspod and walk through the full installation live. he made it impossibly clear. if you've heard of Hermes Agent and want the clearest explanation of how to get set up like a pro let me know what you want me to cover on the next ep this is the best personal agent setup video on the internet right now. watch
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This is exactly what we have been betting on @EnablSystems for the past few months.
We have already worked with real estate brokerages and marketing agencies in India.
And we found out pretty quickly just how fragmented the data is.
I’ll be sharing more about our findings.
Aaron Levie@levie
If you read this and don’t understand why it’s happening it’s an opportunity to reset your understanding of how the real world works. The real world will need a ton of help actually getting agents going in the enterprise. Companies have legacy tech stacks they need to modernize, data in tons of fragmented tools, knowledge that isn’t captured or digitized, and change management needed to actually utilize agents effectively. And they have to do all this while still running their business day-to-day, unlike startups. This is why there is so much opportunity for companies (software or services) to actually deploy agents in specific domains and workflows. This remains a big opportunity for both existing services providers but also tons of new startups as well. Every new technology wave produces a new era of consulting firms that can deliver on that technology. It’s also why the FDE model is going to be alive and well for a long time because companies will want to have their vendor actually help drive the change management and implementation for their new workflows. The people aren’t going away. Far from it.
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Krishang Sheth retweetledi
This is the future we are building at 8090. Our Software Factory is giving the companies that adopt it a new way to think about software.
Build v buy was never as simple as it sounded. If you build you have complex maintenance issues. If you buy, you also generally double or triple your budget with services.
The new way is to focus on the business logic and have Software Factory create something bespoke.
Fits like a glove, highly tuned for you, low maintenance costs.
Try it here: 8090.ai
8090@8090_Factory
$8M/year to a vendor who couldn't explain their own system. $21M saved in four years after replacing it with a purpose-built application. the client owns the business logic. we own the technology. every requirement captured in plain english before a single line of code was written. the pattern repeats across healthcare, insurance, manufacturing. the maintenance era is ending.
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I grew from 0 to 10k followers in the past 3 months.
My copywriter @iampascio just released a full case study doc on how we did it.
Reply "PDF" and I'll DM you the full doc.
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Krishang Sheth retweetledi
Sequoia's thesis that the next $1T company will sell work, not software, is the most important reframe in AI right now.
The argument: if you sell a copilot, you're competing with every new model release. But if you sell the outcome — books closed, contracts reviewed, claims handled — every AI improvement makes your margins better, not your product obsolete.
The key insight most people miss: for every $1 spent on software, ~$6 is spent on services.
The entire SaaS playbook was about capturing the software dollar. The AI playbook is about capturing the services dollar — at software margins.
Not "AI for accountants." The AI accounting firm.
Not "AI for lawyers." The AI law firm.
The companies that figure this out won't look like SaaS companies. They'll look like services firms rebuilt on software infrastructure.
That's a fundamentally different company to build, fund, and scale. And most founders are still building copilots.
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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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I’m launching Stanley for 𝕏 soon.
An AI employee that grows your 𝕏 account FOR you.
Trained on real data from a $5,000/month Twitter ghostwriter.
Comment "alpha" to get early access and I'll DM you the link to the waitlist right now.
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Krishang Sheth retweetledi
Our run-rate revenue has surpassed $30 billion, up from $9 billion at the end of 2025, as demand for Claude continues to accelerate. This partnership gives us the compute to keep pace.
Read more: anthropic.com/news/google-br…
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Krishang Sheth retweetledi
I'm calling it. AGI is already here – it's just not evenly distributed yet.
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Why am I hitting my Claude usage limits so fast all of a sudden??
p.s. I have the pro plan
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Your feed is either making you sharper or keeping you stuck.
Who would you add?
Follow @krishang_sheth for more on building with AI.
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Most people follow 50 AI accounts and still feel behind.
These 5 give me everything I need in 15 minutes.
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