Run swarms of agents for equity analysis
A user runs dozens of agents over a large data store for equity analysis, and has Claude coordinate a group of Codex agents for coding. ·
- What they did
- For coding, the user has Claude coordinate a group of Codex agents over a communication channel they set up. Claude also acts as a second verifier. The Codex parent session only handles comms with Claude, and the other agents run as sub agents. For equity analysis, they use ctlflow.com to run dozens of agents over a large data store.
- How it went
- The user says talking to one coordinating agent instead of a group saves time, and that a swarm can surface surprising information from a large data store. No concrete numbers or results are given.
- Worth knowing
- The setup runs on 2x ChatGPT Pro 200 plus a Claude Max 200 subscription, which is a substantial monthly cost to replicate.
Try it yourself with Claude
I have a folder of [filings, transcripts, or data files] at [path]. Split the work into parallel sub-agents, one per [company or ticker from my list: ...], and have each write a one-page analysis covering [revenue trends, risks, valuation, or other criteria]. Then combine them into a single comparison table in [file name] that ranks the companies and flags where the sub-agents disagreed or the data was thin. Don't delete or modify my source files.
Want help getting this working? Join the Vibe Coding Academy ↗ Run by Alex Finn, who also runs this site.
Source: HN · Nov 5, 2026
Related use cases
Build a C compiler with a team of parallel agents
Anthropic's engineering write-up on tasking Opus 4.6 agent teams with building a C compiler.
Let AI agents search a store, build carts, and prep checkout
A store is set up so Claude or ChatGPT agents can search the catalog, build a cart, and apply promo codes, then hand over a checkout link before payment.
Manage several websites across WordPress, Astro and Eleventy
The poster uses OpenClaw, alongside Claude Code and Codex, to manage and work across about five websites.
Find connections across 100 non-fiction books
Claude Code browses a personal library with CLI tools and surfaces trails of related excerpts across books.
Save and search links via a Telegram second brain
An n8n Telegram agent reads links sent to it, summarises and categorises them into Google Sheets, and answers questions from the library using Supabase semantic search.
Send a daily AI news digest on a schedule
A Manus scheduled task searches Reddit, X and Hacker News each morning, ranks results and delivers a digest to email or Notion; a how-to guide.
Get 5 like this every morning
The best things people got an AI agent to do, each with the prompt to try it.