The author introduces 'notslop', an open-source CLI tool designed to streamline content creation for social media by aggregating data, deduplicating news, and repurposing text across platforms like Twitter, Reddit, and LinkedIn.
As you can see my account has 115K karma and I love writing content. I recently helped a friend get to 50K on twitter in 2 months. **Why content matters now** Building products is "easy". Distribution is the bottleneck. And the cheapest distribution channel when you have no audience is content: tweets, Reddit posts, blog posts, LinkedIn. Content is the first skill you need to master to sell anything you ship. Even outbound is content, it's how you will write the right DM to the right person at the right time. **What notslop is** A lot of friends asked me to share my content systems so I made a little CLI called [notslop](http://github.com/adrienckr/notslop). Please do not expect magic, i built it in one day but i believe it's a good representation of the systems I hae in place. With it you can: * write a tweet, X article, LinkedIn post, Reddit post (tuned to the sub), Reddit reply, blog post, cold DM grounded in the recipient's recent posts * REPURPOSE ANY OF THE ABOVE INTO ANY OF THE OTHERS (this one is important and it's how the best content is made) * get a deduped feed of what is being said about a topic across the subs, blogs, and X accounts you care about, in 2 seconds. The same news from Reddit, HN, and X collapses to one entry, you don't have to scan 5 versions * see what is trending in your niche right now, or track mentions of a topic over 7 days clustered into themes * see the top voices on a topic, your favorite accounts, the experts you respect, anyone, and write your version grounded in what they actually said today **What is good content** Good content is timely. Most of what we say is repurposing. The thing that matters is having the right info at the right time, with the right tone and style. For that, you need two things: 1. A way to get timely and relevant data. I use Orthogonal for this. One API key, $10 free credits at signup, gives access to X scraping (and via ScrapeCreators, also Reddit, LinkedIn, TikTok, etc. for future skills). 2. A way to rerank and embed that data. I use ZeroEntropy. zerank-2 takes the \~200 raw posts you scraped and picks the top 10 most relevant to your topic. zembed-1 dedups the same news appearing across Reddit, HN, blogs, and X (you only see it once) and clusters noisy mentions into themes. Raw scraped data is NOT usable as-is, Claude would drown in noise !! Rerank + embed are what turn it into context that fits in a prompt window and actually matters. **One warning** Please take notslop as an amplifier, not as something magical. AI is a big lever, it does not turn a bad take into a good post. If you have NOTHING to say it won't help you !! **Please contribute back** The 14 content skills are starting points. The quality ceiling on each surface comes from people who write that kind of content every day. If that is you, your taste is what is missing. Sharpen the relevant SKILL.md, send a PR. **Repo** [github.com/adrienckr/notslop](http://github.com/adrienckr/notslop) I am not affiliated with ZeroEntropy or Orthogonal. You can use other models for reranking and embeddings, and other scrapers for the data. The code is MIT.
The article argues that the proliferation of AI-generated content (slop) is causing a provenance crisis where the origin and reliability of information are undermined, illustrated by examples of misdirected automated outreach and fake engagement.
The author shares four specific improvements to their automated content engine, including smaller context packets, viral postmortems, folder-based state management, and bookmarkability scoring.
Auren is an open-source AI tool that replaces an entire content team by generating posts for X, LinkedIn, and Reddit from a weekly brief, using user-defined personas and a story bank to avoid generic AI content.
The article argues that the proliferation of low-quality, AI-generated content ('AI slop') on platforms like GitHub and blogs is degrading the value of online technical communities.
A detailed guide on building an AI-powered content machine that scrapes viral content from platforms like TikTok and Instagram, uses AI to generate platform-native posts, and automates scheduling with tools like ScrapeCreators, Kie.ai, and Postiz.