GTMfund - Twitter Headers
GTMfund
Overview
Share:
Interested in sponsoring? Get in touch with gtmnow@gtmfund.com

Claude Code for Everyone

89f442ee-db6c-4632-b959-410b6b6497ac_490x50

Claude Code for everyone

On January 12th, Anthropic announced Claude Cowork. The internet went wild.

For months, developers have been running laps with Claude Code. Everyone else – marketers, operators, sales leaders, founders – watched from the outside. They could see the power, but they couldn’t get to it without crossing the barrier of the terminal.

Cowork is the bridge across that barrier.

It takes the core engine behind Claude Code and makes it available to everyone, without requiring a single command-line interaction.

There are tons of use cases across GTM. But there are also lots of people experimenting with it across every aspect of life. Tobi Lütke, Shopify’s CEO, even used Cowork to build a custom MRI scan viewer for his own medical data.

HockeyStack is the AI platform for modern GTM teams. It unifies all your sales and marketing data into a single system of action. Built-in AI agents help teams prospect the right accounts, improve conversions, close and expand deals, and scale what works.

That’s why teams like RingCentral, Outreach, ActiveCampaign, and Fortune 100 companies rely on HockeyStack to eliminate wasted spend, take better decisions, and make space to think. Learn more at hockeystack.com

The wildest part is that Claude Cowork was shipped in a mere 10 days.

It started with a simple nudge from Boris Cherny, leading Claude Code: could what had been built internally be scoped down and shipped in just a few days? A small team formed, set an aggressive deadline (“how about Monday”).

Claude wrote Cowork itself. Take a minute to let that sink in.

Humans met in person to make the foundational architectural and product decisions. From there, each developer managed a fleet of Claude instances – anywhere from three to eight at a time – implementing features, fixing bugs, and researching solutions in parallel.

For native code, the team used local Git worktrees. For smaller changes, they simply asked Claude to implement them. When bugs popped up in Slack, Claude was often tagged directly and asked to fix the issue. Every change was still reviewed by a human (and another Claude) before merging, but the work had shifted.

Less time was spent hand-writing code. More time was spent orchestrating agents and making decisions.

There are tons of use cases across GTM. But there are also lots of people experimenting with it across every aspect of life. Tobi Lütke, Shopify’s CEO, used Cowork to build a custom MRI scan viewer for his own medical data.

Cowork shipped early and it has rough edges. That’s intentional and they are working on iterating quickly.

As the Anthropic team expressed:

The hardest part of software engineering is no longer writing code, it’s deciding what to build. Shipping early and getting real user feedback is how something genuinely good gets built.

While Claude Cowork is a dev tooling story, it’s also fundamentally a GTM story. Here’s why.

When software creation compresses, distribution becomes the constraint.

If a small team can ship a credible product in 10 days, then product advantage decays faster. Features get copied, workflows converge, and “we built it first” matters less than “we got adopted first.”

That’s why distribution becomes the final moat.

In this world, the hardest problems shift upstream:

  • What problem is worth solving?

  • Who is it for right now?

  • How do you get it into real users’ hands fast enough to learn?

That’s GTM.

Agentic development raises the bar for GTM execution. When iteration is cheap, feedback speed is everything. Teams that can ship early, message clearly, onboard smoothly, and close the loop with users will outpace teams that are technically strong but less GTM-savvy.

Code is no longer the bottleneck, GTM is.

And that’s why distribution is the moat that compounds when everything else speeds up.

As Jordan Crawford, AI expert, expresses: we’ve entered a new era.

Era I: The workflow era

This is when AI became broadly accessible. It showed up as a conversational assistant that could answer questions, generate ideas, and help people think faster. The interaction was simple: prompt in, response out. The value was speed and cognitive leverage, but the limitation was execution. ChatGPT didn’t understand your real context or operate inside your tools. You still had to copy, paste, and act. AI helped you think, but it didn’t do the work.

Era II: The automation era

This is when AI crossed into real execution, but only for power users. Developers and technical operators wired AI into scripts, terminals, and early agent workflows. These systems could automate tasks and chain actions, but they required deep technical knowledge. The power was undeniable, but the barrier was high. AI could do work, but only if you knew how to talk to machines.

Era III: The orchestration era

This is where execution becomes accessible without the technical tax. Instead of prompts or commands, you give Claude an objective. It plans the work, executes inside real files, checks its output, and iterates when needed. Context persists across steps.

Taken together, the shift is clear. ChatGPT made AI usable. The automation era made AI powerful. Claude Code makes AI operational for everyone.

To help founders and GTM leaders shift to this third era, we’re excited to announce that GTMfund is hosting, in partnership with Jordan Crawford, an event on Claude Code for founders on February 17th in San Francisco. Details and how to apply to attend here.

Share

Tag @GTMnow so we can see your takeaways and help amplify them.

Meritech breaks down what actually exited in 2025 and why. Fewer hype cycles, more pattern recognition on who got liquidity, at what stage, and what acquirers really paid for. Worth scanning if you care about how this market really clears.

Google announced that they are introducing checkout in AI search. ChatGPT has already introduced checkout.

GTM 174: GTM 174: The 7% Rule: How AI Is Rewriting Customer Success Budgets (From 10% to 7%) with Abbas Haider Ali

Get a sneak preview here. For the full thing, listen on Apple, Spotify, YouTube or wherever you get your podcasts by searching “The GTMnow Podcast.”

Torch – OpenAI acquired Torch, a one-year-old, four-person startup, to help build out ChatGPT Health. A small team, a focused wedge, and a big outcome. Another reminder that in AI, depth beats headcount.

Parloa – raised $350M in Series D, tripling its valuation to $3B in just eight months. The Berlin-based company is building AI agents that automate customer service workflows.

Depthfirst – raised $40M in Series A to scale its AI-native security platform, General Security Intelligence. Depthfirst helps companies detect vulnerabilities, credential exposure, and third-party risks across modern codebases.

  1. Customer Success Specialist at finally (Boca Raton, FL)

  2. Senior Customer Success Manager, Enterprise at CaptivateIQ (Remote – Raleigh, NC/Nashville, TN/Toronto, Canada | Hybrid – Austin, TX)

  3. Account Executive, Commercial at Gorgias (Hybrid | Toronto, Canada)

  4. CS Enablement Manager at Owner (Remote – US or Canada)

  5. Strategic account executive at Writer

    1. Central (Remote – Chicago, IL / Austin, TX)

    2. West (Remote – San Francisco, CA )

    3. East (Remote – NYC / Atlanta, GA)

See more top GTM jobs on the GTMfund Job Board.

Upcoming events you won’t want to miss:

Some GTMnow community (founder, operator, investor) love to close it out – we appreciate you.

Subscribe now

This newsletter was written and edited by Sophie Buonassisi and the GTMfund team (not AI!).
Trending Now

You may also like...

Load More