log-reddit-contributor-maxxing
Skill63 starsChanged yesterdayMITView on GitHub
Contributor maxxing: finding talented builders through what they share. A log play (docs/useCases/reddit/contributorMaxxing.md): Find talented people who are into the same things as the owner, through the GitHub repos they post on Reddit. Read a subreddit's last few days through the owner's Reddit account, keep the posts that link to GitHub, and rank them. It reads only. It posts, votes and messages nothing.
In this repository82 other files it gives its agents.
- AGENTS.mdAGENTS.md
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The file
Files
Contributor maxxing: finding talented builders through what they share
This is the log play reddit/contributorMaxxing. Before anything else, call the log MCP tool getGuide({ useCase: "reddit/contributorMaxxing" }): it returns this page and makes it the session's play, so every log tool's answer says which step you are on and a send with no play loaded is refused (rules 157, 158). Then follow the steps in order.
Draft every message from that person's own thread and matt's real replies (voice with no text, search), never from memory, and never send two that read alike (sameAsSent).
Find talented people who are into the same things as the owner, through the GitHub repos they post on Reddit. Read a subreddit's last few days through the owner's Reddit account, keep the posts that link to GitHub, and rank them. It reads only. It posts, votes and messages nothing.
How the owner asks for it: "contributormaxxing", "find talented people who are out there who are interested in the same things that we're interested in", "use our reddit to load up gotomarketengineering", "find people who are posting on github inside of that subreddit", "find me all of the best githubs that have been posted in the past 7 days"
Run it from a fresh context
Say: "go on docs/useCases/reddit/contributorMaxxing.md for r/<subreddit>". The agent reads this page and runs the steps.
The steps
| # | Step | Tool | Done when |
| 1 | Check the owner's Reddit account still has its session | redditSessionCheck { account } | Reddit's own answer says loggedIn; anything else is said to the owner and nothing more runs |
| 2 | Find the subreddit the owner named (he may spell it loosely: "gotomarketengineering" is r/gtmengineering) | redditReadSubreddits { account, query }, or tregCall { id: "tinyfish.web.search", include_domains reddit.com } (free) when the account can't read | one subreddit, named with its link and what it's about |
| 3 | Read its posts back the days asked, keeping only the ones that link to GitHub, ranked by score then comments | redditReadPosts { account, subreddit, days: 7, linksTo: "github.com" } | each post with its author, score, comments, date, Reddit link and GitHub links; a 429 or reset stops the read and keeps what was read (rule 94) |
| 4 | Find who else builds on the same internals: search GitHub's code for the internal Reddit API names vendor/reverseChud uses (svc/shreddit/token, svc/shreddit/search-typeahead, gql-fed.reddit.com ...), about 7 s apart, then read each repo and its owner in parallel. Reddit is never called again for this | gh api search/code, gh api repos/<repo>, gh api users/<login> | every repo with the names it uses, stars, last push, and its owner's name, bio and X handle, saved in RESEARCH/CONTRIBUTOR_MAXXING/ |
| 5 | Show the owner the list, best first: the Reddit posts, then the repos closest to ours (most rare names), each with the person behind it | the answers from steps 3 and 4 | the owner has every repo with the person behind it |
What the runs taught
- r/gtmengineering is the GTM engineering subreddit (found 2026-11-08 by TinyFish search). r/GTMbuilders ("GitHub commits over slide decks") sits next to it.
- Reddit's whoami can pass while its token step fails. On 2026-11-08
/api/me.jsonanswered for the account, then loading reddit.com gave notoken_v2, then the engine's connection was reset twice while plain HTTPS to Reddit still worked. That is a refusal: stop, tell the owner, and don't read again until he says so.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

