Building @KINETK_AI | I like nonsense, it wakes up the brain cells." -Dr. Seuss

Joined September 2013
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Being a founder, CEO, and CTO is like an endless race through a jungle. It's a dynamic journey, full of both beautiful sceneries and dangerous pathways. 🌿🏞️
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Building is fun, having your community react to what you have built is magical!
KINETK on Monad is building something that goes beyond the Monad bubble and even beyond Web3. I spent some time digging into KINETK. The concept is simple but solves a variety of real World problems: It takes social content from multiple platforms, normalizes it, organizes it into narratives, extracts signals, and exposes the results through APIs and MCP for AI agents and applications. So it's no longer about searching posts, it's about querying intelligence in real time. Eventually its become an idea which you can turn into a product and revenue. KINETK transforms social content into: • Content Objects • Narratives • Signals • Intelligence Reports From social content across platforms to context that applications and AI agents can actually use. KineTK is now available via API and MCP to get started with the development. This post also explains why, as Sentinels, we've spent so much time exploring KINETK campaigns lately as social media doomscrollers. I'm thinking about building something practical on top of the KINETK APIs. Any ideas for useful applications?
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After many late nights building, testing, and refining, our API is live. 🚀 Grab your API key and unlock a new intelligence layer for your agents.
The era of multimodal intelligence is upon us. We are thrilled to announce that the KINETK API is officially live. Today, we hand the keys to this engine to every builder, developer, data junkie, creator, and curiosity seeker at large. Platform Link: platform.kinetk.ai/login
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Models need to understand more human interactions, what happens on silent moments
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Great point from @katie_haun at @Bloomberg today: provenance is crucial for AI. Trust will be as important as intelligence. That’s why provenance is foundational @KINETK_AI. Our knowledge graph preserves context, relationships, and source attribution so AI can reason on trusted information, not just generate answers.
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46% of companies authenticate AI agents with shared API keys. The kind that doesn't rotate. For autonomous systems. Microsoft just open-sourced the fix. The demo phase is over.
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70% of errors in production LLM applications aren't model failures. They're context failures. Stale documents. Broken entity relationships. Ungoverned data. The bottleneck shifted.
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ThinkMariale retweeted
World Cup Campaign is Live Everyone can participate and compete for $MON rewards. Learn more below👇
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Two creator economy platforms launched earlier this month. Neither is about creating content. Both are about who controls the economics.
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44% of creators use AI tools weekly. Up from 19% a year ago. The tools phase is done. Content creation, repurposing, optimization: largely solved. Now watch who builds the economic layer underneath.
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The creator economy is $500B. Creator ownership of the economics? That part is being built right now.
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The founders coming up in LATAM don't have to leave to build anymore. That changes who gets to build. Which changes what gets built.
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To all those building in LATAM -> the numbers back it up. One in five Colombian founders is a woman. 40% of C-suite roles in the ecosystem held by women. O-Lab just won TecPrize 2026 with a skills-based engine built for LATAM learners. Not adapted from elsewhere. Built for it.
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Mexico is building the most powerful supercomputer in Latin America, focused on AI. The region isn't adopting tools designed for other markets. It's building for its own problems.
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I left to build. The peer networks, the funding density, the technical infrastructure. The founders coming up now don't have to make that same move. That changes who gets to build. Which changes what gets built.
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Gm! So what are you building this week?
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A prototype that only works when you're running it isn't a prototype. It's a demo. The difference matters more than most teams realize.
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68% of enterprise AI apps use vector databases. Almost none have a plan for when their semantic index goes stale. Embedding drift is the quiet infrastructure problem in the AI stack.
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Checkout my latest post for a deeper dive: open.substack.com/pub/thinkm…

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