GTMAtlas

GTMAtlas helps B2B leaders diagnose GTM friction, align execution, and build momentum through strategic clarity and growth intelligence.

[Manashi Ghosh @G_Manashi]

Pipeline isn't the problem.
Sales productivity isn't the problem.
Execution often isn't the problem.

The real challenge is understanding where GTM momentum breaks—and how to restore it.
The Atlas Series: https://t.co/EFPNtya1XB

#GoToMarket #GTMMomentum #TheAtlasSeries

[GTMAtlas @gtmatlas]

Part 4 of #TheAtlasSeries explores why market selection is often the hidden cause of stalled growth.
https://t.co/1S78XvjG6n

#RevenueLeadership #GTMStrategy #GTMAtlas

[Codie Sanchez @Codie_Sanchez]

My hot take...

There is absolutely no reason why you should spend more than $5,000 on a wedding if you’re making less than $1M+ a year.

I literally got married in a parking lot wearing a $150 dress from Anthropologie with roses from the grocery store… and I was worth a few 8 figures.

The modern wedding is nothing more than a huge financial cosplay we’ve normalized for pure performance sake.

[GTMAtlas @gtmatlas]

PepsiCo has deployed 41 driverless trucks to deliver its goods in a handful of states, making it likely the first major U.S. consumer-goods company to do so, per The Wall Street Journal.

https://t.co/LelcAoQRlb

[GTMAtlas @gtmatlas]

@ChatGPTapp @grok @Copilot @GeminiApp @AnthropicAI

[GTMAtlas @gtmatlas]

The Atlas Series: Keeping Your GTM Journey in motion @GTMAtlas

#gtmatlas #gtm #atlas https://t.co/dypQTDyrsC

[GTMAtlas @gtmatlas]

@hthieblot Then

[Ole Lehmann @itsolelehmann]

this is just the most ridiculous AI application i've ever seen lol

a Peter Thiel-backed startup that makes AI collars for cows is now worth $2 billion

and the more I read about it the cooler it gets. here's how it works:

every cow wears a solar-powered collar that talks to a network of radio towers and an app on the farmer's phone

instead of building physical fences, the farmer draws the fence on a map in the app, and the collar keeps each cow inside that invisible line using GPS

when a cow drifts toward the edge, the collar plays a sound to steer her, and a gentle vibration tells her which way to go.

it's like how a car beeps as you back up toward a wall

the cows learn the cues in a few days

so now a rancher can move an entire herd to fresh grass by sliding the fence on a map, without driving out to open a single gate

and that same collar is reading each cow's body the whole time.

it takes five readings per second on every animal, so the AI can catch a cow that's sick, injured, ready to breed, or about to give birth before a person would ever notice walking the field

so it's basically like WHOOP for cows too lol

and they gave the AI behind it the perfect name: the Cowgorithm

it's been trained on more than 7 billion hours of real cow behavior, which is why Halter calls the data its real asset and moat.

they know what a normal cow looks like better than anyone, so they can flag the odd one out instantly

it's already on more than 1M cattle across New Zealand, Australia, and a bunch of US states.

California even used it on public land to graze cattle in patterns that clear dry brush and slow down wildfires

costs about $5 to $8 per cow per month

a job that used to mean barbed wire, gates, and driving the fields all day is now mostly 1 person on their phone

[GTMAtlas @gtmatlas]

Implementing Predictive GTM Across Channels https://t.co/24ozcxCqqd

[Dhruv Diddi @DhruvDiddi]

After the full Humanoid Summit week in Japan,
When its 4pm on a Sunday,
7am in GMT, 11pm in PST.
And the robotics showcase keeps you energized.

⚡ ⚡ ⚡ You know Physical AI is LIVE ! ⚡ ⚡ ⚡

Thank you @sotamiyajima and @Orboh2026026 team for organizing top notch Humanoid Hackathon @SeikaKaramatsu this past weekend! Happy to share the @Solo__Tech Best Autonomous Policy Prize goes to Team Mochi Pounding!

And with this event we conclude the Solo Seven with 7 successful workshops, bringing together specialized physical AI top engineers, across all these 7 innovation centers in the last 7 weeks:

San Francisco, USA 🌉
Delhi, India 🇮🇳
Hyderabad, India ⚡
Singapore 🇸🇬
London, UK 🇬🇧
Boston, USA 🧬

And finally..

Shibuya, Japan 🇯🇵

Selected Solo Fellows will get access to:
🛠️ Unrestricted access to enterprise Solo Tech
⚡ Unlock priority tier-1 GPU and hardware support
🤖 Direct, guided access to world-class robots
✈️ Fly out to join us at our Head Quarter in San Francisco this summer!

Application due open for 24 hours more! [Link in comments]

Concluding our Solo Seven tour. #SoloSeven

[ericosiu @ericosiu]

Every company is missing the same layer:

A company brain.

Right now, the memory of the business is scattered across calls, docs, Slack threads, dashboards, SOPs, and people's heads.

That's the part people miss when they talk about a company brain.

The value isn't a giant folder of company knowledge. Every company already has that.

The real advantage is the intelligence layer that sits between all that context and the work your team needs done.

This is the layer every AI-native company will need:

[David Ch @chhddavid]

this Claude bot finds local businesses with ugly websites or none at all, rebuilds and their mobile apps, then emails the owner a postcard...on autopilot.

here's how agencies can use this system and land clients:

- scrapes every local business in a city in real time
- filters by review count + rating + last update date + site quality
- pulls the strongest photos and copy from their Google Maps listing
- samples the brand palette from the business's own visual identity
- AI rebuilds it into a brand-matched website + mobile app
- writes a postcard quoting a real reviewer + what they loved
- mails it to the owner by first name with a preview QR

every step from discovery to brand-matching to outreach is automated.

reply "GUIDE" + RT and I'll send you a free guide so you can build this too

[GTMAtlas @gtmatlas]

@agupta @ycombinator No tax economy

[GTMAtlas @gtmatlas]

Top 10 Enterprise Market Research Companies https://t.co/UTviWtR0Z5

[GTMAtlas @gtmatlas]

How to Predict Demand for Your New Product https://t.co/ygKAMUN8mu

[GTMAtlas @gtmatlas]

From Demand Generation to GTM Orchestration https://t.co/SV4xZCBoJ1

[GTMAtlas @gtmatlas]

Implementing Predictive GTM Across Channels https://t.co/24ozcxCqqd

[GTMAtlas @gtmatlas]

Keeping your GTM journey in motion https://t.co/jteEH9duAr

[GTMAtlas @gtmatlas]

@fin465 Thanks 🙏 @arth_rich @G_Manashi

[Arvind Jain @jainarvind]

I'm proud to share that @Glean has surpassed $300M ARR, just five months after crossing $200M and growing ~3x over the past 15 months. This is an exciting milestone for Glean, and it's a signal about where the enterprise AI market is heading.

We’ve long believed the real challenge in enterprise AI is not access to models. It is grounding AI in how a company actually works: its people, knowledge, workflows, permissions, and systems.

That’s even clearer now. The companies creating real value with AI are not just adopting better models. They are building systems that understand their business well enough to deliver reliable outcomes at scale. That is the real moat, and it is what we’ve been building at Glean: an unrivaled context layer for enterprise AI.

That context has to work across the business, not just inside a single team or use case. We see that in how customers adopt Glean: more than 85% use it across five or more job functions.

It also has to meet the security and governance demands of complex enterprises. We see that in who is choosing Glean: our Fortune 500 customer count nearly doubled year over year.

And it has to make economic sense as usage grows. In our recent benchmark with Claude Cowork, Glean was preferred roughly 2.5x as often as off-the-shelf MCP tools and used 30% fewer tokens on average. Better context improves both quality and efficiency.

I enjoyed talking with @CNBC's @dee_bosa about this broader shift. In enterprise AI, the winners will not be defined by better models alone. They will be defined by who builds the strongest foundation for enterprise context.

Thank you to our customers, partners, and team for helping us build the future of enterprise AI.