Open Source · Free to use

Wake up to a week of content,
written in your voice.

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.

Get it for $149 View on GitHub

~$0.03/day in API costs · No subscription required · Runs on your machine

Subtle editorial art
~/content-machine — zsh
$ ./run.sh my-brand.json
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Content Machine — 2026-02-21
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Scraping trends for: "AI tools and indie hacking"
Found 9 trending topics
Generating content in your voice...
Saved to output/2026-02-21/

📣 Today's tweets:
Built an "AI-powered" tool that was just regex. Sold 3 copies before someone asked how it worked. The magic isn't in the AI. It's in solving a real problem people will pay for.
Most indie hackers optimize for launch day. Should optimize for day 90. That's when you know if people actually need it or just thought it was cool.
The real moat isn't your model or your UI. It's your data. Once you have users, you have patterns no one else can replicate. That's what's worth defending.

Report saved to output/2026-02-21/report.md
Live demo

Watch it run

A real run. Trends scraped. Content generated. No cuts, no editing.

4
formats generated daily
~$0.03
per day in API costs
1
command to run everything
10hrs
saved per week
How it works

Set it up once. Let it run.

Three steps. Fully automated. Content lands in a folder every morning ready to review.

01

Configure your voice

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.

02

Scrape what's trending

Every run pulls the top posts from Reddit, HackerNews, and your custom sources — filtered to your niche from the past 7 days.

03

Generate & queue

Claude writes 5 tweets, a LinkedIn post, a newsletter snippet, and a video script. Saved to markdown or auto-scheduled via upload-post.

Soft editorial abstract
Real output

Content written by the machine.
Not by us.

Every example below was generated in a live test run. Niche: AI tools and indie hacking. Zero human editing.

5 tweets · generated in one run · zero editing
AC
@alexbuilds
Built an "AI-powered" tool that was just regex. Sold 3 copies before someone asked how it worked. Lesson: the magic isn't in the AI. It's in solving a real problem people will pay for.
AC
@alexbuilds
Most indie hackers optimize for launch day. Should optimize for day 90. That's when you know if people actually need it or just thought it was cool.
AC
@alexbuilds
Watched someone spend 6 weeks perfecting their Claude wrapper's prompt. Their competitor shipped in 2 days and got 10x users. Distribution beats optimization every time.
AC
@alexbuilds
Started tracking which AI tool features actually get used vs which ones I built because they "seemed cool." Spoiler: 60% of my features are dead weight.
AC
@alexbuilds
The real moat isn't your model or your UI. It's your data. Once you have users, you have patterns no one else can replicate. That's what's worth defending.
LinkedIn post · 280 words · generated in one run

The AI Tool Gold Rush is Over. The Real Work is Starting.

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.

Newsletter snippet · "what I'm watching" section · ~140 words

What I'm Watching

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.

60-second video script · TikTok / Reels / YouTube Shorts
Hook (0–3s)

"Everyone thinks the future is building better AI. It's not. It's distribution."

Body (3–50s)

"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."

CTA (50–60s)

"Stop building. Go spend 5 hours talking to people in your space. Real conversations. That's where the idea that actually works lives."

Editorial abstract waves
Pricing

Free to use. Pay once to skip the setup.

The code is open source and free forever. We charge a one‑time fee to set it up and hand it over working.

Self-hosted
Free
Clone it, configure your brand voice, run it yourself. Full source on GitHub.
  • Full source code
  • Brand voice template
  • Reddit + HackerNews scraping
  • Claude-powered generation
  • Markdown output
View on GitHub
Managed (Monthly)
$49/mo
We run Content Machine for you — updates, monitoring, and support.
  • Everything in Starter
  • Monthly tuning + updates
  • Monitoring + fixes
  • Priority email support
Subscribe $49/mo

Start this weekend.

Free to clone. Runs in under 10 minutes. Your content calendar fills itself.

Get it for View on GitHub
Contact

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Questions? Want a custom setup? Send us a message.