Grant Swanson

Head of Marketing @GetRowZero
The the world's fastest spreadsheet with enterprise-grade security.

[Row Zero @GetRowZero]

AI analysis in a #spreadsheet with AWS bedrock.

[Row Zero @GetRowZero]

We were already the world's fastest #spreadsheet.
So we made it faster.
31 million rows. Pivot table + COUNTIF + chart. Under 0.5 seconds.
4x faster than a year ago and still improving.
https://t.co/BXbaSRLHAx

[Grant Swanson @start_observing]

The moment we have all been waiting for:
https://t.co/ywIxqSAWHb
#claudemythos

[Row Zero @GetRowZero]

Read our #SnowflakeSummit blog post:
https://t.co/F73E809LTs

[Row Zero @GetRowZero]

See the power of our AI Chat feature in Row Zero.
https://t.co/vPXqecn6eh

[Row Zero @GetRowZero]

Connect your Cost & Usage report data from the AWS billing console via a data export or S3 connection to pull in live data and build an auto-updating cloud cost dashboard.
#FinOps #AWSCost #CloudSpend
https://t.co/Ek7aChkIRX

[Row Zero @GetRowZero]

Row Zero bridges the gap between technical data infrastructure and business users. Instead of exporting static data out of pipelines into fragile files, teams can now work directly on live data inside a secure, scalable spreadsheet environment.
https://t.co/1c7DZo5vVu

[Row Zero @GetRowZero]

AWS is officially a Row Zero customer!

They approached us looking for a secure alternative to the mess of CSV & Excel files on laptops, and needed a tool that could handle Amazon's scale

AWS chose Row Zero's industry-leading performance and security over 13 alternative tools

[Row Zero @GetRowZero]

Your zero trust architecture is airtight, right up until someone clicks Export. Click below to view our latest blog:
https://t.co/PlgItLbE1a

[Row Zero @GetRowZero]

Data wrangling is one of the most universal and most underestimated parts of any analyst's job. This post does a great job breaking down why modern teams need a modern spreadsheet to actually get it done at scale.
Check it out 👇
https://t.co/CDMiCqo17e

[Grant Swanson @start_observing]

@OurSf49ers @KalshiSports Go Niners

[Observe by Snowflake @Observe_Inc]

Brilliant end to the week!

[Observe by Snowflake @Observe_Inc]

Scale tests everything—your systems, your processes, your teams.

Join our Masterclass in Observability at Scale to hear lessons from Stripe, Google & petabyte-scale enterprises.

📅 Save your spot: https://t.co/JPEmd1SOwg
#ObservabilityAtScale #DevOps #SRE #AIObservability

[Nathan Daehyun Nam @nathannam]

Been testing the @Observe_Inc MCP Server across multiple client tools.

Works great in @Claude Desktop, Claude Code, @windsurf , @augmentcode ✅
But in @cursor_ai , responses are consistently worse ❌ (fails across Claude + @OpenAI GPT models, no valid links).
Could anyone help me connect with the Cursor team to figure out what’s going on?

[Grant Swanson @start_observing]

🚨 The latest Observe newsletter is live!

Inside:
🧠 Observability in the AI age
🔁 Vibe Loop for real-world reliability
⚙️ Agentic observability with MCP
🤖 MCP + Claude, Cursor & Augment
📅 Upcoming masterclass

Read: https://t.co/HukWR4nOQA

#AI #DevOps #SRE #Observability

[sridhar @RamaswmySridhar]

Proud to support @Observe_Inc as they enter their next chapter of growth with a $156M Series C. Big things ahead!

Built on @Snowflake, Observe uses a smart mix of data lake technology, a knowledge graph, and agentic AI workflows to help developers troubleshoot faster and reduce operational costs.

More on their story here: 👉  https://t.co/ZqzBRUqE8G

[Grant Swanson @start_observing]

Thank you @TechCrunch for covering our funding announcement!

https://t.co/hmRXHNlAk2

[Grant Swanson @start_observing]

🚨 Big news: @Observe_Inc just raised $156M Series C to redefine observability with AI-powered, open-data-lake architecture.

📈 3× revenue
🧠 180% NRR
💾 150+ PB of data analyzed

https://t.co/Y6VfcgFSZj

[Grant Swanson @start_observing]

In @Observe_Inc production clusters we execute about 220M queries per day on average, ingest around 1PiB/day and scan around 16PiB/day. Our largest customer is less than 5% of that. No matter how much data you have and how much you want to query it, we can handle it.

[Grant Swanson @start_observing]

@vijayscsa @Observe_Inc @vijayscsa yes it is possible.