@DeRonin_: i built a self-improving content machine it scans the entire internet, runs 10+ accounts (for my clients), and gets sma…

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Summary

A developer built a self-improving AI content machine that scans the internet, runs multiple accounts, and autonomously writes and optimizes content. The builder plans to release the full architecture as a free guide and possibly open-source it.

i built a self-improving content machine it scans the entire internet, runs 10+ accounts (for my clients), and gets smarter every single day WITHOUT ME TOUCHING IT my input: 15-20 minutes per account.. that's the whole job here's the architecture: 1. it scans everything every platform, every forum, every discord, every comment section x, reddit, tiktok, youtube, niche chats.. the whole internet, not a keyword list 2. it finds what's winning right now hundreds of profiles analyzed daily the exact hooks, narratives and formats working THIS WEEK.. not last year's playbook 3. it writes in my voice trained on my own posts, so it sounds like me and not like AI engineered for one thing: the emotion a reader feels in the first 2 seconds 4. it runs on its own 10+ accounts, each with its own voice and its own niche written, scheduled, posted, tracked.. no human in the loop 5. it upgrades itself every day it reads its own performance, finds what actually worked, and rewrites its own playbook that's the part nobody builds the same machine that writes the content also grades it, learns from it, and gets better without me week 1 → it was mid week 4 → it writes better hooks than i do i was already working about content machine via markdowns files approach but since this time, architecture was 95% rebuilt and it got improved radically i'm dropping the entire build as a free guide every layer, every prompt, the full architecture 500+ likes and it goes out this week also, guess to make it open-source on Github, wdyt?
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Cached at: 07/13/26, 05:58 PM

i built a self-improving content machine

it scans the entire internet, runs 10+ accounts (for my clients), and gets smarter every single day

WITHOUT ME TOUCHING IT

my input: 15-20 minutes per account.. that’s the whole job

here’s the architecture:

  1. it scans everything

every platform, every forum, every discord, every comment section x, reddit, tiktok, youtube, niche chats.. the whole internet, not a keyword list

  1. it finds what’s winning right now

hundreds of profiles analyzed daily the exact hooks, narratives and formats working THIS WEEK.. not last year’s playbook

  1. it writes in my voice

trained on my own posts, so it sounds like me and not like AI engineered for one thing: the emotion a reader feels in the first 2 seconds

  1. it runs on its own 10+ accounts, each with its own voice and its own niche written, scheduled, posted, tracked.. no human in the loop

  2. it upgrades itself every day it reads its own performance, finds what actually worked, and rewrites its own playbook

that’s the part nobody builds

the same machine that writes the content also grades it, learns from it, and gets better without me

week 1 → it was mid week 4 → it writes better hooks than i do

i was already working about content machine via markdowns files approach

but since this time, architecture was 95% rebuilt and it got improved radically

i’m dropping the entire build as a free guide every layer, every prompt, the full architecture

500+ likes and it goes out this week

also, guess to make it open-source on Github, wdyt?

nope

firstly it forms its own individual voice

and under each account, there is illustrated different personalities

for any guy who wants to grow in Linkedin, X or Reddit, definitely it is

usually i spend like $20 per account per month

but it’s routted smartly and literally it’s working 24/7 by proceeding all the data from the internet

i guess that’s the really low cost for this

this conception is used there as well (it helps for learning not worked formats and topics, to analyze properly)

not gonna make it paid, just an access to everybody

let’s see if people are interested in and how many will scroll it down lol

fact

dm me and i will explain, since i guess that’s forbiden topic on this platform

nothing exotic.. the loop is the leverage, not the tools

scan: Exa + Firecrawl + platform APIs analyze: bulk on a cheap model, synthesis on a frontier one write: my own posts as the reference set distribute: self-hosted Postiz (MCP, 30+ networks)

the loop: engagement pulled in daily → scored on an eval set → the model rewrites its own playbook

that’s the system.. the rest is plumbing

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