
MOUZUN
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I tested Spettro on something I never expected it to achieve. The results completely blew me away. I didn’t edit this video. Spettro programmed it. (In less than 10 minutes) Every single visual, transition, and asset in the promotional video below was written entirely in code by the agent. It even programmed and synchronized the audio layers (with the exception of the Undertale track). If Spettro can architect a full promotional video purely through code today, imagine what happens when it is natively pipelined with generative video, image, and music tools. You are looking at the actual future of software execution. Still building.

For everyone asking how the agent actually pulled this off, here is the exact workflow: 1. I fed Spettro the core objective and the base Undertale audio track. 2. It autonomously mapped the timeline, visual logic, and transitions. 3. It wrote, compiled, and rendered the entire visual sequence natively through code. No heavy video editing software. No clunky web UI. Just pure, autonomous command-line execution. The barrier to entry for complex, multi-modal automation is officially gone. Because the entire ecosystem is open-source, you can pull the Spettro CLI from GitHub and replicate this exact workflow on your own machine today. Drop into the repository. The full live coding session and the result are linked below. Still building.

I can finally talk about this. I have officially joined the @cognition Ambassador program. @DevinAI is now actively helping me develop Spettro and all my upcoming projects. Spettro acts as the ultimate foundation layer, and Devin is going to work directly alongside it. When it comes to heavy and complex engineering tasks, Devin is simply the best tool on the market. Now, we combine the workflow: • Spettro handles the seamless execution and native environment • Devin handles the heavy engineering lifting The development speed is about to multiply. Thanks a lot to @ZakeeAbdi and @dabit3 for all the support on Devin Still building.


Today on MCG: @cesp2099 | @spettrotoken | solana:C3fawupKrXdn3X7KPTmmnkwzJQ9qycMNag55ZzQ8pump Spettro is harness for AI agents that runs on just 15MB of RAM per instance versus ~500MB for Claude Code, Codex, or any Node.js-based agent Key topics covered 👇 04:25 - Dev's background 07:00 - @ycombinator Startup School, @AnthropicAI AI Program, @cognition Ambassador 11:55 - Spettro's function 13:55 - The differentiator 17:11 - 100x more potential output for the same token spend 20:08 - Marketplace mechanics 22:36 - Roadmap 23:46 - Marketplace launching this summer 28:40 - API key homebase


Hold on so you’re telling me we’re holding a project that is valued at 800k that is blowing #Claude a 900 billion market cap company’s ai efficiency out of the water? - Spettro • 220 MB RAM • 0.9% GPU - Claude Code • 2.3+ GB RAM • 46%+ CPU Let’s break these stats down. Most AI developer tools are built on frameworks optimized for development speed and convenience. The tradeoff? Higher resource consumption, more overhead, and performance that degrades as concurrency increases. solana:C3fawupKrXdn3X7KPTmmnkwzJQ9qycMNag55ZzQ8pump took the harder route. Built from the ground up for concurrent, decentralized execution, every layer is designed to minimize overhead and maximize efficiency. The result is a platform that stays lightweight under load while maintaining reliability and responsiveness. When you’re running multiple agents, workflows, and sessions simultaneously, efficiency isn’t a nice-to have it’s the foundation of scale. If your tooling consumes gigabytes of memory and a significant portion of your compute just to stay running, scaling becomes increasingly expensive. The future belongs to software that does more with less.

• Spettro (9 concurrent sessions): 220 MB RAM | 0.9% GPU • Claude Code (9 concurrent sessions): 2.3+ GB RAM | 46%+ CPU There is a reason for this massive performance gap. Claude Code is built using frameworks that are easy to develop with, but by definition, they are heavy and bloated. They drain your system resources almost immediately. Spettro took the harder path. It is heavily optimized from the ground up specifically for concurrent, decentralized execution. It is engineered to be fast, lightweight, and relentlessly reliable. If your tools fry your hardware, they aren't built to scale. Still building.












