Moving agents to Linux eliminates macOS's aggressive process monitoring of Codex subagents, which was causing syspolicyd to consume 215% CPU on an M5 Max.
Moving agents to Linux eliminates macOS's aggressive process monitoring of Codex subagents, which was causing syspolicyd to consume 215% CPU on an M5 Max.
Where this was said
At 39:15 · chapter starts 39:00
The move to Linux isn't ideological — it's pragmatic. Theo noticed macOS's syspolicyd consuming 215% of his M5 Max's CPU just from Codex running subagents in the background, more than rendering complex Blender scenes [1] — Theo "Linux removes macOS process overhead: Moving agents to Linux eliminates macOS's aggressive process monitoring of Codex subagents, which was…" 39:15 . Ben explains the root cause: MCP cannot share a single connection across threads, so 50 simultaneous subagents require 50 separate MCP server processes, 50 computer use instances, and all the associated overhead. macOS watches every single one of these processes suspiciously. On Linux, none of that overhead is present — you can spin up dozens of threads without touching system performance. Both hosts now run their long-running agent tasks on network-accessible Linux boxes, using T3 Code's web interface over Tailscale to monitor and interact with sessions from anywhere, including their phones.
Running 50 simultaneous Codex subagents on macOS means 50 separate MCP processes, causing syspolicyd to consume 215% of CPU on an M5 Max. Linux has none of these process-monitoring penalties, so you can spin up dozens of subagent threads simultaneously with no performance hit.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
Eyal and Yali shut down all marketing and spent 4 months completely rebuilding PropGPT from scratch.
PropGPT has accumulated over 40,000 total downloads since launch.
PropGPT's large language model (AI) operating costs are just $20 per month, and the cost is continually falling.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
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