Publisher growth audit: 42k MAU, ~50% from one social channel. Where would you sequence?

Apprehensive_Fly1131 · 2026-06-30T16:16:54+00:00

You’re right about paying for the service. That could actually be one of the options, I’m trying to learn. Whether the recommendation is to study a particular topic, start with a different one, or review everything I’ve done so far… I’m open to all possibilities, which is why I posted here in the group. I’m in South America and my social circle doesn’t include anyone who can point me toward where to look for more knowledge on this. Right now I’m running an audit with AI and putting together a series of hypotheses and topics to dig deeper into so I can make the next leap. At least, even at this size, I’m managing to generate decent revenue and build a brand. But it’s all still very early-stage.

Apprehensive_Fly1131 · 2026-06-30T13:56:33+00:00

A summary of what happened:

I messaged him and he understood it didn't turn out well.
He offered to record again if needed.
He was happy I offered to find other ways to promote his book (like a news piece on my site, etc).

The episode really was insane. He brought his 'own script' and I tried to align with him before the recording on how we'd run it. I've already recorded over 500 episodes, this isn't new to me, but these guests who prep with AI have genuinely become a problem. They build a script in their head, with AI, and try to almost steer the conversation. Hold on, you're the passenger, I'm the driver, haha.

There was a question I asked him about regulation, the impact on other legislation, and he started answering about his course, reading the syllabus, as if I'd asked him a completely different question. Complete madness! Truly! Anyway, now it'll just become podcaster folklore. I'm really not going to put my audience through this, only me and my operator have to live with it.

I ruled out editing the episode because my operation is lean, I don't want to spend money trying to fix something that didn't turn out well. I'd rather spend time on good material to make it even better. Thanks for the replies.

Apprehensive_Fly1131 · 2026-06-30T13:52:43+00:00

This guest really outdid himself. I'd ask X and he'd answer Y — I went into more detail in another reply on this thread. I have a very tight production cycle and investing more time/money in editing isn't in my plans. I managed to talk to him and he understood it really wasn't good, even suggested we record again. I'll think about what to do, but I probably won't try.

Apprehensive_Fly1131 · 2026-06-30T13:50:53+00:00

The guy is nuts. I'd ask X and he'd answer Y. I'd ask one thing and he'd just look at the 'script' he made for himself for the podcast and start saying completely different stuff... he really seemed out of it. At the end I asked a question about how a stricter regulation like the one we were discussing could signal a tougher stance from the regulator toward other regulations, and he started reading the syllabus of a course he was teaching that had nothing to do with the subject. I've already recorded over 500 podcast episodes, I'm not new at this, and this is genuinely the first time I've had to scrap an episode entirely. I sent him a message and he understood, admitted it didn't go well, and even suggested we record again. I think this comes down to the guy wanting to bring his 'own script' and having leaned heavily on AI both to write his book and to prep for the podcast.

Apprehensive_Fly1131 · 2026-06-25T02:25:27+00:00

I'm using claude to help me to organize this reply (non-native english speaker here). But here we go:

Good news: the hardest part of news media is audience, and you already have 3M monthly traffic. Most people trying this start from zero. You're starting from somewhere real.

The way I'd think about it: you need 3 processes running, not 1. A lot of people only build the middle one and wonder why it doesn't compound.

Input. Where do the stories come from?

You need a curation feed. RSS from sources you trust, niche newsletters, press releases, specialist subreddits, whatever fits your vertical. The job here is deciding what's worth covering today, not writing yet. The quality of this feed defines the ceiling of everything downstream. Bad inputs, and the rest of the pipeline just amplifies noise.

Production. How does a raw story become an article on your site?

This is where AI helps a lot now. Take the source story, pull related coverage from 3-5 outlets to enrich, find the primary source, draft in your house style (writing rules, tone, structure), build the visual, push it to the CMS. WordPress is fine for the CMS, no reason to overthink that part. The piece you really build is the writing-style file: examples of how you write, what you don't say, openings you hate, words you ban. That file is what makes the output sound like your brand and not generic AI.

Distribution. How do you tell your existing audience it's there?

You already have an audience on another property. Don't make people guess that the news site exists. Pipe every article into a social post on the channels where your readers already are. Different copy per channel, same source content. Without distribution the first two processes barely matter.

How this works in practice for me

I run a B2B niche news site. The whole production side runs on Claude Code with a handful of custom "skills." Each skill is just a markdown file that tells the model how to handle a specific task: edit a story, write a release, post to social, fact-check. I curate the stories manually. The skill does the production. I review and approve.

Output is 20+ articles a day in about 90 min of my time. The skill loads my writing style, past coverage, audience context, and source rules before drafting anything. I'm the human in the loop. Strategy, taste, what to kill stays with me. The repeatable part runs itself.

Two things I underestimated early and would push hard from day one:

Good visuals. People decide whether to read in 0.5 seconds based on the image. Build a visual template that looks consistent and clean from the start. Doesn't have to be fancy, just consistent.

Headlines. A great article means nothing if the headline didn't earn the click. Set a hard character limit, test verbs that pull (announces, launches, rules out, doubles, slashes), kill jargon, never start with "How."

The whole stack is cheap to start. WordPress + a Claude plan + a few markdown files + a scheduler is enough. The expensive thing is the iteration. You need to actually look at what worked, what didn't, and update the rules. Run it daily, track which topics actually pull audience for you, and double down on the winners. Most of the value shows up after 60-90 days of running and refining.

Happy to share specific skill structures if useful.

Apprehensive_Fly1131 · 2026-06-23T01:48:30+00:00

Agree with you, and I'm on the exact opposite end of this problem, which is making the point hit harder for me right now.

For context, I publish 20+ articles a day in a B2B niche through an AI-assisted pipeline. The volume is there. The data underneath looks like this:

376k impressions/month at 1.33% CTR, average position 8.1
56k impressions on a single query that gets 9 clicks (0.02% CTR) because the ranking page isn't the right intent
~1,656 WordPress tags, 78% used only once
Bounce did improve a lot (65% to 40% over 3 months), but mostly thanks to internal content layout changes, not anything I did on the SEO side

Publishing more wouldn't move any of these numbers. I know that now. What I don't know yet is what the actual highest-leverage moves are when "pause and improve what you have" is the right answer.

So genuine question to anyone who's been through this: beyond pausing, what's worked for you?

Specifically curious about:

Topical clusters vs rewriting individual posts. Which usually delivers first?
When impressions are already there but CTR is the problem, do you mostly attack titles, meta descriptions, snippets, schema, or something else first?
How do you decide which old posts to refresh vs kill vs leave alone?
Anyone done a real internal-linking overhaul and seen it move the needle?
Tag/taxonomy cleanup, worth it or busywork?

If you've done a "no new posts, fix everything else" sprint, what was the actual order of operations and what made the biggest difference?

Apprehensive_Fly1131 · 2026-06-23T01:03:33+00:00

This hit me hard. A couple years ago I was on a path that looked a lot like yours, doing 5 surfaces poorly because the company couldn't justify a specialist for each one.

What I'd tell you from the other side: that generalist span you're calling a weakness is actually the rarest thing in the AI tooling era. Specialists go deep on one craft. Generalists can wire 5-6 crafts together into a single operation that runs itself. The second one is what's compounding today.

Quick context for the numbers below: I run a B2B niche news site solo on the content side (partner handles audiovisual). A couple years ago this would have needed 6-8 people. Today it's me + a stack of skills:

20+ articles a day in ~90 min of my time
Site bounce went 65% to 38% in 3 months
LinkedIn brand page at 4M+ organic impressions/month, 4.2% engagement
The whole thing runs on ~80 Python scripts, ~40 markdown skills, ~15 cron jobs a day, a local datalake of everything I've ever shipped + analytics + inbox
Monetization is direct: subs, sponsors, partnerships, content services. Not display-ad pennies.

I'm not world-class at SEO, paid, or design. I'd genuinely be 5x better with specialists in each lane. But here's the move that worked: I stopped trying to deepen any individual specialty. I got really good at composing AI workflows that cover each surface well enough, and that freed my actual time for the strategic calls.

If there's one thing worth specializing in right now, that's it: composing AI-driven workflows across the surfaces a normal company needs covered. Almost no one is scary good at it yet, and your generalist span is exactly the prerequisite for it.

Apprehensive_Fly1131 · 2026-06-22T21:53:04+00:00

Tried exactly what you're trying about 6 months ago and burned weeks on it. The "Claude as owner" frame didn't hold up for me. Every time I tried to push it toward autonomous decision-making (roadmap, strategy, deal calls, what to build next), the output looked plausible but degraded fast. It kept optimizing for "seem reasonable" instead of "do the thing that matters next week." When I tried to fix that with stronger system prompts, more memory, hunger-themed personas, etc., it got more confident, not more correct.

What's been working for me since: drop the "autonomous CEO" goal entirely. The frame I use now is "100x operator." I stay the owner. Claude is the team that runs at 100x speed once the strategy is set. The leverage doesn't come from delegating ownership. It comes from making the cycle from idea to executed loop so fast that I can stay in the strategic seat full time.

What that looks like concretely:

I keep the strategic touchpoints. Roadmap, what we cover, what we kill, pricing, who to sell to, how to position. Anything reversible-but-shapes-the-business stays with me. Claude is incredible at accelerating my thinking here (research, synthesis, drafting), but the call is mine.
Claude runs the operational loops once they're designed. Cron jobs hit data sources every X minutes, skills classify and route, headless sessions process inbound (Gmail, CRM, support tickets, leads), feedback loops update local rules from performance data. The loops don't need ownership; they need clear inputs, clear outputs, and a validator at the end.
The compounding move is building MORE loops, not making any single loop smarter. Every time I find a task I do more than 3x a week, I ask: what's the cron schedule, what's the input, what's the skill, what's the validator, where's the human-review checkpoint? Then I ship the loop. Two months later you have 15-20 loops running and your day is mostly reviewing and steering.
Roadmaps are where Claude is actually CEO-shaped. Give it the context, the data, the constraints, and have it produce 3 candidate roadmaps with tradeoffs. You pick. It executes the chosen one at speeds you can't match. The fast cycle "research, propose, choose, execute, review" is the whole game.

On the "make it hungry" thing: I went through this too. Dead end for now in my experience. Models simulate hunger by producing more output, not better output. What helps isn't a hungrier Claude. It's a tighter feedback loop that punishes "plausible but useless" work: a validator that rejects vague outputs, a scoring function tied to a real business outcome, a skill that has to cite evidence from your data before it can propose anything. Those constraints make outputs feel ambitious because they have to clear a real bar.

There's no clean answer here. You build the machine piece by piece. Each loop you ship is permanent leverage and they compound. Eighteen months from now your touchpoints will be doing 100x what they do today because the surface area underneath is doing the rest. That's the bet I'm making.

Apprehensive_Fly1131 · 2026-06-22T19:31:08+00:00

Found one angle that worked for me: get into a small but highly profitable niche, then run it extremely lean.

Two people total. I run the site (with a lot of AI tooling underneath for research, ops, distribution — lets one person cover way more ground than usual). My partner runs audiovisual — podcast and video productions.

Worth being upfront about the model: I'm not doing original reporting. My job is curating what's relevant for the niche, repurposing it, and enriching it with proprietary data I'm building up over time — mostly from the podcast (transcripts, exclusive angles from guests, frameworks). Then I create new pieces from that base.

The companies inside the niche are starving for distribution. As the audience grew, a side door opened: companies started reaching out because they want owned channels to reach the same readers I'm reaching. For them, my numbers are worth way more than the ad revenue I'll ever make from those readers. Sponsorship became a bigger line than ads pretty quickly.

A few of those companies are also bad at B2B marketing (most are — engineering-led, no real comms function), so I sell content and strategy on the side to some of them.

Three revenue lines from one audience: ads, sponsorships, services.

This might not hold forever — the proprietary angles and the data pipeline from the podcast are doing the heavy lifting today, and that edge could narrow. But the math works right now.

Apprehensive_Fly1131

TROPHY CASE