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Air Date: June 19, 2026 We’re back with Episode 11 of The Bot Pod! This week, Mike and Fede discuss their Solana portfolio’s outperformance, bullish takes on Backpack Exchange and Backpack Securities, and a revised Condor Builders Cup schedule with F1-style finals. Fede walks through Condor’s sub-agent redesign—a metabrain delegating to specialized experts—and the hosts spotlight community member Drumman’s automated Meteora LP routine. Mike closes with the launch of Botcamp (BAMP) Solutions, a new market-making and consulting business for token projects and exchanges.

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Episode Highlights

Timestamps are estimated based on the flow of the transcript.

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Market Discussion: Solana Portfolio & Backpack Securities

0:00 — Mike and Fede open the episode discussing the market, noting that their own Solana-based trading portfolio is up roughly 30% for the year, despite the broader Solana market being down. A major highlight of their discussion is their bullish outlook on Backpack Exchange and its new Backpack Securities broker. They praise Backpack’s functionality that allows users to trade tokenized stocks (like SpaceX) on-chain and potentially redeem them to traditional brokerages, effectively bridging TradFi and DeFi.
“I actually love Backpack’s move of creating this… Backpack securities broker because if they had that broker now they can do things that other brokers can do like transfer to stock to tokens” — Fede

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Hackathon Update: Revised Schedule & F1-Style Finals

15:00 — Mike announces a slight delay to the start of the hackathon submission window to give Fede more time to perfect the new trading agent framework. He details the structure of the competition: during August, builders will develop and submit strategies tailored for specific exchange sponsors like Orca, Gate, XRPL, and Derive. Sponsors will then select their top two agents to represent them in an F1-style live final, where the bots will trade with $1,000 of capital over a 40-hour period.
“We’re trying to make this kind of like almost like an F1 style competition uh where um you know these strategies are almost professionalgrade strategies” — Mike

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Agent Redesign: Sub-Agents & Local Models

25:00 — Fede breaks down his massive redesign of Condor’s agent architecture, shifting away from a single monolithic agent. Instead, Condor will function as a main assistant (or “metabrain”) that drafts plans and delegates tasks to specialized “expert” sub-agents—such as a market-making expert or a routine builder. This modular approach reduces context window overload and opens the door for users to run smaller, 1-to-12 billion parameter local models on their own computers in the future.
“The best thing of having this like one model where you talk to… and then you have other models where this assistant is going to delegate tasks” — Fede

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Community Spotlight: Automated LPing with Routines

40:00 — To demonstrate the practical power of Condor, the hosts highlight community member Drumman, who built a custom routine to analyze a Meteora liquidity pool on Solana. Drumman’s routine automatically fetches market data, calculates support and resistance levels, and feeds those parameters directly to an agent to automatically deploy a Liquidity Provider (LP) executor.
“I think that the routines feels like an a very beautiful gap between the communication that you can have with an agent and how to make persistence something that an agent can create for you” — Fede

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Botcamp Solutions: A New Market-Making Firm

45:00 — Mike officially announces the launch of Botcamp (BAMP) Solutions, a formal market-making and consulting business aimed at helping new token projects and exchanges bootstrap liquidity. He explains that using Hummingbot to manage a large-scale trading operation will dramatically improve the tools they build for the community, especially as more traditional finance (TradFi) assets begin trading on-chain.
“What it should allow us to do is give us um better uh better visibility into how we should be designing the Condor harness because we’ll need it in order to handle all the different kind of like trading related tasks” — Mike

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