Syft is an inbound conversion platform for modern growth marketing teams.
Joined February 2023
- Tweets95
- Following11
- Followers16
- Likes18
Syft Data retweeted
Software pricing is shifting from seats to work performed.
On the latest edition of Syft Data’s GTM Field Notes, Patrick Thompson explains the model behind Clarify. Give away the CRM software, then charge based on the work the AI actually does.
Unlike traditional SaaS, every AI action carries a real inference cost. That makes usage-based pricing less of an experiment and more of an economic necessity.
The future of software may be free tools, paid labor.
Syft Data retweeted
Build versus buy is not a new debate created by AI.
On the latest edition of Syft Data’s GTM Field Notes, Patrick Thompson and Imran Patel discuss how companies were asking the same question at Snap nearly a decade ago.
AI has changed how quickly and cheaply companies can build software. The fundamental decision has never changed.
Syft Data retweeted
On the latest edition of Syft Data’s GTM Field Notes, Patrick Thompson explained why MCP is powerful, but still far from reliable infrastructure.
MCP tool calls are expensive, brittle, and prone to breaking changes. Unlike traditional API integrations, they often lack the contracts and stability companies expect from production software.
Agents may look magical in a demo. Keeping them working in the real world is a very different problem.
Syft Data retweeted
On the latest edition of Syft Data’s GTM Field Notes, Patrick Thompson made the case for having strong opinions about your product.
He shipped, then unshipped, three features in a single week because they failed to meet the quality bar.
Shipping fast matters. Knowing when something no longer deserves to exist in your product matters even more.
Syft Data retweeted
On the latest edition of Syft Data’s GTM Field Notes, Patrick Thompson made a great point about the economics of AI.
AI is cheap right now because venture capital is subsidizing our addiction. But the addiction is real. Once you experience the productivity gains, going back to working without AI feels impossible.
The real question is what happens when the subsidies disappear, and prices begin to reflect the actual cost of delivering all that intelligence.
A lot of AI companies are effectively spending $2 to make $1. The winners will be the companies that preserve the productivity advantage without inheriting an unsustainable cost structure.
Syft Data retweeted
Depending on the stage, Sales and Marketing can cost anywhere form 35% to 60% of revenue, and in some cases it's even higher.
It’s interesting to note that AI has increased revenue per employee, but overall marketing costs are not going down.
And few expect them to, as markets remain as competitive as ever.
Syft Data retweeted
For every dollar OpenAI generated in revenue, it spent $0.44 on sales & marketing in 2025. This is according to leaked financial documents that appeared in Fortune. While it might sound high to some, it’s not uncommon for a high-growth company.
Salesforce and HubSpot have spent anywhere from 30% to 40% of revenue on sales and marketing, and Snowflake spent 50% at its peak growth phase.
The data suggests that even category-defining products still invest heavily in distribution.
