Frayma AI's Value
There is an elusive element in explaining this idea that has a sort of "I know it when I see it" element. The best founders I have ever interacted with articulate themselves with precision, logical coherence and flow from one idea to another, a focus on the most relevant information without getting distracted by the logical course at hand, and an... See more
Clarity of Thought
Nothing explains Frayma AI’s value more. Thanks Kyle Harrison
Flagship incubators like Y Combinator are built on the thesis that a smart kid with a computer and summer internship at Goldman Sachs can outwit all of American Express. That’s not because the kid understands the needs of payment processors better than people at American Express, or has better ideas than they do; it’s because the kid can build... See more
Benn Stancil • The End of YC
‘what if a real writer makes a note-taking app,?” is the exact reason i’m building frayma’s chrome extension. because, what if note-taking apps made it easier to transform capturing random, interesting thoughts into compelling gtm assets-crafting ideas?
The real moat moving forward is not marketing or tech, it’s RESONANCE. Within 1-2 years, more than than 90% of content on the internet will be AI generated. Most of it will be fake news, fake data, fake persuasion. Products and messaging can be copied instantly. The frequency you (and your collective organization) emit that’s truth, pure, and... See more
Paul Venuto • feed updates
Chris Walker on how much resonance will get even more important.
Craft happens in cycles
Before machines, everything was made by hand. A tool, a chair, a door. They reflected the skill and care that was put into them. Some things were rough. But when someone puts their full attention into the work, the result could be truly great.
This is what craft is about — the deliberate attention put into making something... See more
Before machines, everything was made by hand. A tool, a chair, a door. They reflected the skill and care that was put into them. Some things were rough. But when someone puts their full attention into the work, the result could be truly great.
This is what craft is about — the deliberate attention put into making something... See more
Karri Saarinen • Why Is Quality So Rare?
Linear’s founder on ‘Craft’
too many nuggets this. but most importantly, i need to spread the gospel of gtm engineering. and do it very fast because ‘leveraged beta is all [i] need.”
In a world of scarcity, we treasure tools. In a world of abundance, we treasure taste.
Everyone’s software is good enough. Software used to be the weapon, now it’s just a tool. The barriers to entry are low, competition is fierce, and so much of the focus has shifted — from tech to distribution, and now, to something else too: taste.2
Taste is... See more
Everyone’s software is good enough. Software used to be the weapon, now it’s just a tool. The barriers to entry are low, competition is fierce, and so much of the focus has shifted — from tech to distribution, and now, to something else too: taste.2
Taste is... See more
Anu Atluru • Taste Is Eating Silicon Valley.
Another pointer to the increasing value–and need–for taste, something frayma.ai is prioritizing for GTM teams.
"Shortcuts tend to accelerate effort, not replace it. Supplements and cutting edge recovery methods might speed up your progress in the gym, but they don't replace the need to do the workout. In general, the people who benefit most from shortcuts are those who continue to practice the fundamentals consistently."
3-2-1: On making the most of shortcuts, how to reduce worry, and the kindness of mastery
By James Clear, this quote subtly sells the value Frayma AI brings to the table.
Human expertise is the amplifying force
At the core of all this is a simple truth: Great AI needs great data. Reinforcement learning and context engineering can improve model performance, but only if they’re using high-quality data—that is, the examples the AI learns from or is given as context. And the best data—the kind that could lead to... See more
At the core of all this is a simple truth: Great AI needs great data. Reinforcement learning and context engineering can improve model performance, but only if they’re using high-quality data—that is, the examples the AI learns from or is given as context. And the best data—the kind that could lead to... See more
The Better AI Gets, The More It Needs Us
Great AI (outputs) needs great data (inputs) [essentially, context engineering]. Also consider the idea of “rare data hunter.“