Deep in the digital jungle, Gorilli forges new paths: AI Agents as information processors, automation as the hunter, and crypto as the playground.
We officially launched Gorilli — our playground for bold experiments in AI, Web3, and emerging technologies. The idea behind Gorilli is simple: move fast, build things that matter, and test them in the real world. No pitch decks, no endless planning cycles. We prioritize rapid iteration and real-world testing over traditional startup approaches.
February was a dense month. We shipped across multiple fronts, got selected for a major hackathon, and started laying the groundwork for what would become our core product line.
AI Agents & ElizaOS
We've been exploring AI Agents using the ElizaOS framework to develop intelligent, autonomous systems designed to implement automation across our projects. The goal is to build agents that can process information from multiple sources, reason about it, and take action — not just chatbots, but actual autonomous workers.
We started by building agents that monitor market signals, aggregate data from social feeds and on-chain activity, and produce structured outputs that feed into our other products. The ElizaOS framework gave us a solid foundation to iterate on, with a plugin architecture that lets us extend capabilities without rewriting core logic.
The early results were promising enough that we decided to double down on this direction for the rest of the quarter.
Monad Hackathon Selection
Gorilli was selected among roughly 1,146 applicant teams for the Monad EVM/Accathon and invited to participate in an in-house Denver Hackerhouse. Getting through that filter was a strong signal that our approach resonated with builders in the ecosystem.
Monad launched its testnet on February 19th, focusing on scalability and efficiency for decentralized applications. Their architecture is designed for high throughput without sacrificing decentralization — exactly the kind of infrastructure we need for the real-time data processing our products require.
The Denver Hackerhouse gave us a chance to build alongside other teams, exchange ideas, and stress-test our assumptions with people who are deep in the trenches of blockchain development.
Gorillionaire
We're building an advanced trading signal protocol that aggregates data from multiple sources to deliver real-time market insights. The system processes information through a structured pipeline — collecting raw data, filtering noise, applying our signal models, and distributing actionable insights via live streams.
The core thesis is that retail traders are flying blind compared to institutional players. We want to level the playing field by giving everyone access to the same quality of market intelligence, powered by AI and on-chain data analysis.
At this stage we were still in early development, building out the data pipeline and testing different signal strategies against historical data. The initial accuracy numbers were encouraging enough to keep pushing.
Kommander Launch
Kommander is an AI assistant that converts natural language inputs into executable API calls, enabling voice and chat-based automation for retrieving data and triggering workflows. Think of it as a universal interface layer — you describe what you want in plain language, and Kommander figures out which APIs to call and in what order.
We launched the first version at kommander.ai and started collecting feedback from early users. The most common use case turned out to be developers who wanted to automate repetitive tasks without writing custom scripts every time.
Partnership: Takyon
Takyon, a travel fintech company, joined as a partner. They transform hotel reservations into tradeable digital assets while connecting hotels directly with travelers. The partnership explores how AI agents could optimize pricing, predict demand, and automate the trading of these tokenized reservations.
It's an interesting intersection of Web3 and real-world utility — exactly the kind of collaboration we're looking for at Gorilli.
What's Next
March will be all about Denver. We're heading there with a clear plan: build, ship, and compete. The Monad Hackerhouse will be an intense sprint, and we're planning to come out of it with a working prototype that we can put in front of real users.
Stay tuned.
Originally published on Substack.