Content Machine scrapes what's trending in your niche, then writes tweets, LinkedIn posts, newsletters, and video scripts — in your exact tone. One command. Every morning.
~$0.03/day in API costs · No subscription required · Runs on your machine
A real run. Trends scraped. Content generated. No cuts, no editing.
Three steps. Fully automated. Content lands in a folder every morning ready to review.
Fill out a JSON file with your niche, tone, what to avoid, and 2–3 example posts you've written. That's the only setup required.
Every run pulls the top posts from Reddit, HackerNews, and your custom sources — filtered to your niche from the past 7 days.
Claude writes 5 tweets, a LinkedIn post, a newsletter snippet, and a video script. Saved to markdown or auto-scheduled via upload-post.
Every example below was generated in a live test run. Niche: AI tools and indie hacking. Zero human editing.
Every indie hacker with a weekend is building an AI wrapper around GPT-4. Most will die in obscurity.
Here's what's actually happening: the easy wins — slapping a UI on an API — don't work anymore. Users have ChatGPT. They have Claude. The delta needs to be real.
The ones gaining traction now have three things in common:
1. They solve a specific job. Not "AI for marketers" (too broad). "AI to write product update emails that match your brand voice" (specific, testable, painful enough to pay for).
2. They own distribution. Building a better AI tool means nothing if nobody finds it. The winners right now are either riding existing platforms or have an audience already.
3. They embrace the commodity. Stop pretending your fine-tuned model is proprietary. Use Claude or GPT-4, focus on the UX and the workflow. The defensibility is in the distribution and retention, not the model.
I've watched this cycle twice now. The hype phase is over. We're in the grind phase where 95% fail and a few build real businesses.
One thing: Launch something this week. Not perfect. Ship it to five real people and watch them use it. That's worth more than six months of optimization.
Claude 3.5 Sonnet shipping with native vision and artifact generation is the real move this week. Not because it's "best in class" — everyone claims that. But because it's making it stupid easy for indie builders to ship features that previously required calling three different APIs and writing glue code. Saw someone build a full design-to-HTML tool in an afternoon.
That's the actual product velocity unlock everyone talks about but rarely happens. The artifact thing matters less than you'd think. What matters: faster iteration cycle means faster failure, which means you learn what customers actually want instead of guessing.
The wrapper graveyard is full of technically impressive builds nobody wanted. This just removed one more excuse.
"Everyone thinks the future is building better AI. It's not. It's distribution."
"Right now, 50 people are building the same chatbot wrapper you just thought of. Same tech. Same model access. The ones winning? They figured out how to get in front of users.
Second thing: verticalization is done. Generic AI assistants are commodities now. The money is in solving specific problems for specific people. Tax prep AI. Sales email AI. That angle.
Third: margins are collapsing. Your $29/month SaaS needs either massive volume or you're trading time for dollars. Most indie hackers won't hit volume. So either go niche and charge premium, or build something people actually need.
And here's the reality — most of you will fail. Not because your tool is bad. Because you're competing on feature parity when you should be competing on who understands the customer better."
"Stop building. Go spend 5 hours talking to people in your space. Real conversations. That's where the idea that actually works lives."
The code is open source and free forever. We charge to set it up and run it for you.
About $0.01–0.05 per day in Claude API costs (Haiku model). You need an Anthropic API key — pay as you go, no monthly commitment. That's the only ongoing cost.
It depends on how well you fill out the brand voice file. The more examples and specifics you give it, the better the output. The $149 setup includes us tuning it with you until it does.
No. Everything saves to a folder. You review, edit if needed, then publish. Nothing posts automatically unless you configure upload-post scheduling.
Content Machine generates for Twitter/X, LinkedIn, newsletter, and short-form video. With upload-post connected, it can auto-schedule to Twitter, LinkedIn, Instagram, TikTok, and more.
An open-source AI agent framework. Content Machine is built as an OpenClaw skill but works as a completely standalone script too — no OpenClaw required to get started.
Free to clone. Runs in under 10 minutes. Your content calendar fills itself.