[USE CASE]
Build automated trading workflows that execute swaps, manage positions, and react to market conditions across DEXes and chains. No code required.
The Challenge
Catching the right price requires staring at charts. Manual swaps lose to volatility before the order is even placed.
How We Solve It
Configure workflows that watch token prices via CoinGecko and on-chain oracles and execute swaps the moment your target hits.
[01/04] LATEST POSTS
Product notes, launch logs, technical breakdowns, and operating memos from the team building B3OS.
Apr 28, 2026 · 4 min read
If AI is the electricity of this era, the biggest opportunity isn’t the appliance built on top. It’s the grid. The orchestration layer that lets intelligence move through the world and do work. That layer is under-built, and that’s what we’re building with B3OS. Modern AI is a horizontal enabling layer. It can be used to improve everything. It will be in everything. This is most like electricity. These kind of horizontal layers like electricity and compute and now artificial intelligence, they
Apr 17, 2026 · 7 min read
This article serves not only as a comparison to other automation/workflow platforms, but offers a peek into the thinking behind why we even built B3OS, in the first place. After hearing from hundreds of builders from all walks of life and from seemingly every industry, we’re confident we’ve identified an unserved gap when it comes to automation: the onchain layer. You Already Have Automation. It Just Doesn't Know What Blockchain Is. Zapier launched in 2012. By the time crypto was a mainstream
Apr 7, 2026 · 4 min read
In just one year, engineers have gone from writing code to entrusting AI to write the vast majority of it. The pace is exciting yet nerve-wracking because as developers put more faith in AI, the systems underneath need to actually work. Payments and crypto cannot be built on a house of cards. Two things feel like common sense to me as AI usage continues to increase. 1. Software must become more modular - Lego pieces that AI can pick up & use. 2. The probabilism of AI must be balanced with de
Apr 7, 2026 · 4 min read
Many of the best products we use today started as fun experiments, often peripheral to the team's main focus. Slack started as a browser game - the game failed, but the internal messenger grew to become a $27B company. Facebook began as a quirky (controversial) experiment at college that evolved to revolutionize our entire social world. Across so many successful startups, experimentation and play leads founders to uncover PMF. When Glitch failed to gain a sustainable audience, the team realized
