An always fresh feed,
on autopilot while you sleep.
For a long time I stared at a blank screen every morning trying to come up with content for a dozen social accounts. Now a small bot watches the best creators in my niche, filters for what is already going viral, rewrites the caption, and posts across all my accounts without me lifting a finger. Here is exactly how it works, and the prompts you can use to build your own.
A silent feed that never runs dry.
Content creation is the biggest tax on any social media growth strategy. Most accounts stall not because the product is bad but because there is never enough to post. This machine solves that permanently, without writing, without filming, and without hiring a content team. Here is who it is for, what goes wrong without it, how it works, and what you get back.
Who it’s for
Anyone managing one or more social accounts who needs a steady stream of quality content without the daily grind of creating it. Affiliate marketers, niche page owners, brand builders, and anyone who wants to grow an audience fast. If you have ever skipped a posting day because you had nothing ready, this is for you.
What goes wrong
Without a system, content creation is a bottleneck that never clears. You post three times this week, twice next week, once the week after. The algorithm punishes the inconsistency, the account stops growing, and you are back to square one. Sporadic posting is the number one reason social accounts plateau and die.
How the machine works
A small scraper monitors a list of top creators in your niche. When a post crosses a threshold of likes, views, or comments that you set, the bot downloads it, sends it through an AI rewriter that keeps the hook and rewrites the caption, and schedules it across your accounts at five to seven posts per day. The algorithm sees original content. Your feed never goes quiet.
What you get back
Roughly 150 posts per account per month, every month, without writing a single one. Your accounts post consistently on proven viral content, grow faster, and your only job is to point the bot at the right niches and check the numbers once a week. The content machine runs, you grow, you sleep.
Creating content every day is a full-time job I refused to take.
When I first started managing multiple social accounts, content creation was the wall I kept hitting. Every morning I needed fresh posts for a dozen accounts. Writing them myself was impossible. Hiring a team was expensive. Repurposing my own material ran out inside a week.
The accounts that grew the fastest were not the ones with the most original ideas. They were the ones that posted the most consistently, and that consistency was built on sharing content that had already proven it could travel.
So I built a small scraper that watches the top creators in each niche I care about. Any post that crosses a threshold of likes, views, and comments that I set gets flagged as a winner. The bot downloads it, passes the caption through an AI rewriter that keeps the emotional hook but changes every sentence, and then a scheduler spreads it across all my accounts at the times the audience is most active.
The algorithm treats each post as fresh because the caption is genuinely new text and the image file has been subtly modified. Five posts a day per account, about 150 a month, roughly 1,800 a year, all built from content that already proved it could go viral in my niche.
Then the second bot comes in. Its only job is to take the people who like and follow these growing accounts and send them to a lead magnet, an opt-in page, or a resource where they enter my funnel. The audience grows on autopilot, and the traffic is automatically redirected to a real business outcome.
Proof point: I documented how I manage dozens of accounts and funnels simultaneously on YouTube in my growth hacking series and in the road to 10 million series, so the conservative numbers on this page are real and checkable.
Three moves that keep every account posting on autopilot
What made this work was the order of the three moves. Watch only the proven winners, rewrite so the algorithm sees something new, then spread automatically across every account. Miss any one and the system breaks: you either post bad content, get flagged for duplicates, or run out of time scaling it manually.
Watch the proven winners only
The scraper does not collect everything. It monitors a curated list of top creators in the niche and filters hard: only posts above a minimum engagement floor get through. That floor is the most important setting in the whole system. Set it low and you fill the queue with mediocre content. Set it at a number that has already proven an audience responds, and every post in your queue is a small bet that has already paid off once. The result is a feed where everything you publish has earned its place.
Rewrite so the algorithm sees something fresh
Posting an identical caption flags the content as a duplicate and the algorithm buries it. The AI rewriter solves this. It reads the original caption, identifies the emotional hook, and writes a new version that keeps the energy but changes every sentence. The image file gets a subtle crop or overlay so the file hash is different. The platform processes it as a new, original post, and the account gets full reach. This single step is what separates accounts that grow from accounts that get suppressed.
Schedule across all accounts without lifting a finger
Once a post passes the filter and the rewrite, it joins the queue. The scheduler spreads it across every account you run, at the optimal times for each audience, at a pace of about five posts a day. You manage the queue once a week, not every morning. The accounts keep posting whether you are at your desk, on a plane, or asleep. And because every post is built from proven viral content, the growth compounds month after month without you doing more work.
Watch only winners, rewrite before posting, schedule across every account automatically. In that order, the feed stays full, the algorithm stays happy, and the accounts grow whether you show up or not.
What social media used to cost me
- An hour every morning trying to think of something to post
- Skipped posting days that killed the algorithm momentum
- Accounts that stalled because the content dried up
- Content that flopped because it was not proven in the niche
- No time left over to run the actual business
What the reposting bot does instead
- About 150 posts per account per month, without writing one word
- Five posts a day per account, every day, on a consistent schedule
- Accounts fed with content that already proved it could go viral
- The algorithm treats every post as fresh, so reach stays full
- The only task left is checking the numbers once a week
How I find the best source creators to watch
The quality of everything downstream depends on watching the right creators. This is the prompt I use to build and refine the list of source accounts the scraper monitors, so the queue stays full of content that actually performs.
Find the best source creators for your niche
I want to build a list of social media creators to monitor in a specific niche. My niche is: [describe your niche in 2 sentences]. For each creator I need: - Their handle on the platform I care about - Their average engagement rate (likes plus comments divided by followers, expressed as a percentage) - Their posting frequency (posts per week) - A one-line note on what kind of content gets them the most engagement Criteria to qualify: - At least 50,000 followers on the target platform - Average engagement rate above 3 percent - At least three posts per week so the queue never dries up - Audience that genuinely overlaps with mine Give me a ranked list of 10 creators, strongest first. For each one explain in one sentence why they qualify and one sentence on the content format that works best for them.
Spend thirty minutes here once and the scraper always has something worth downloading. A bad source list produces a bad queue, no matter how good the rewriter is.
How I set the engagement floor that filters out weak posts
The filter is the most important setting in the whole system. Get it wrong and the queue fills with average content. This prompt helps me calibrate the right threshold for any niche, so only genuine winners get through.
Score posts by engagement floor
I want to set an engagement floor for filtering social media posts before I repost them. My niche is: [your niche]. My target platform is: [platform]. Help me calculate the right threshold for each of these: - Minimum likes (absolute number) - Minimum views (for video content) - Minimum comments (as a signal of genuine interest) - Minimum shares or saves (where the platform shows this) For each threshold, explain the reasoning: what does hitting that number tell me about how the original audience responded? Then give me a simple scoring formula: score = (likes * w1) + (views * w2) + (comments * w3) Where w1, w2, w3 are weights you recommend for this niche. A post must score above X to enter my queue. Tell me X and why. Show all the numbers so I can adjust if my niche is smaller or larger.
Calibrate this once per niche. The floor is the filter that turns a generic scraper into a machine that only posts content with a proven chance of growing the account.
The 3-minute overview of how this works
Before the build steps, watch this short overview. It’s the exact video from the Automations Made Easy page, and it walks through the mechanics behind machines like this one. 1,000+ students have used these mechanics to save two hours a day, with zero coding.
Want to build a content reposting machine like this in your business?
1,000+ students. Save hours every day. No coding required. In Automations Made Easy you will learn the simple skills to build little bots that fill your social feeds on autopilot, just like this one.
What the always fresh feed quietly does every month
Let me keep this small and believable. I am not going to tell you it makes you famous overnight. I will tell you what a modest, consistent version really does for someone running a handful of social accounts.
Say you run five social accounts in the same niche and the bot posts five times a day on each. That is 150 posts per account per month, 750 posts total, all built from content that already proved it could travel. Even at a slow one-in-ten conversion of new followers into email subscribers, over a full year you are adding a real, growing list from channels that cost you nothing extra.
5 accounts, 5 posts a day, 150 posts per account per month
Roughly 1,800 posts per account per year without writing a word
Over a year, a growing, engaged audience in every niche you pick
All redirected to your funnel via a second, simple engagement bot
Now let it compound. 1,800 posts a year per account is consistent, machine-level presence in the algorithm. Accounts that post consistently grow faster, and faster growth means more funnel entries, more email subscribers, and more revenue from the same effort. I documented how I build these systems in my growth hacking series and in the 3k plus per post breakdown.
I wrote more about how I run content pipelines at scale in my Substack, including the small adjustments that keep reposts safe over the long term.
How I rewrite a caption without losing the hook
The rewrite is what keeps the algorithm from flagging the post as a duplicate. But the hook is what made the original go viral. This prompt is how I preserve the emotional core while generating genuinely new text every time.
Rewrite a caption while preserving the hook
I am going to give you the original caption of a social media post that performed well. Your job is to rewrite it so that: 1. Every sentence is new. No phrase from the original survives word for word. 2. The emotional hook, the opening feeling that made someone stop scrolling, is preserved. Identify it first. 3. The call to action (if any) is rewritten to match my voice and my destination link. 4. The length stays within 10 percent of the original. 5. Hashtags are replaced with a fresh set relevant to the same topic but not identical to the original list. Before the rewrite, output one short paragraph naming the hook you identified. Then output the rewritten caption, ready to paste. Do not add commentary after the caption. Original caption: [paste here]
The hook is the asset. The words are just the wrapper. Keep the hook, change the wrapper, and the algorithm treats the post as new while the audience still stops to read it.
How I slightly modify a post to defeat duplicate detection
Caption rewriting handles the text side. The image or video file also needs to be slightly different so the platform’s file-hash check does not flag it as a copy. This prompt guides the small, invisible modifications that keep every post clear.
Slightly modify a post to defeat duplicate detection
I have downloaded a social media image or short video that I want to repost after rewriting the caption. The platform I am posting to uses file-hash or visual-similarity checks to detect duplicates. Give me a step-by-step list of the smallest modifications I can make to the file so it passes the duplicate check without changing the visual meaning of the content for a human viewer. For images, cover: - Crop (how many pixels, which edge) - Resize (by what percentage) - Colour adjustment (hue, saturation, brightness, by how much) - Overlay options (subtle watermark, thin border, small icon) For videos, cover: - Trim (how many frames from the start or end) - Speed adjustment (by how much without being visible) - Colour grade (small LUT or manual adjustment) - Audio modification (fade in, fade out, slight pitch) Rank each method by (a) how reliably it defeats the check and (b) how invisible it is to a human. Tell me which two to always combine for maximum safety.
Do this once per post before it enters the scheduler. A two-second image tweak is all that stands between a post that reaches the full audience and one that gets buried for being a copy.
The exact build, step by step
Pick the source creators to watch
One time setup. You give the scraper a list of top creators in your niche, the accounts that consistently generate engagement. From that list, the bot knows exactly where to look for content worth reposting. A good source list is the foundation of everything. Ten to twenty carefully chosen accounts is enough to fill any queue indefinitely.
Set the engagement floor
Before any post is downloaded, it must clear a threshold you define: a minimum number of likes, a minimum view count, a minimum comment count. If a post does not clear all three floors, the bot ignores it. This single setting is what separates a queue full of mediocre content from a queue full of posts that already proved they could travel. Tune it once per niche and the filter does the work from then on.
Download the winners
Every post that clears the engagement floor is downloaded to a local folder. The bot handles this automatically, storing the image or video file alongside the original caption, the source account name, and the engagement numbers. This gives you a clean library of proven content ready for the rewrite step. Nothing in the library is guesswork. Every file earned its place by performing first.
Slightly modify the asset
Before the file is scheduled, the bot applies a small, invisible modification to the image or video. A subtle crop, a slight colour adjustment, a thin overlay. To a human viewer the content looks identical. To the platform’s duplicate detection system, the file hash is new. This single step keeps reposts out of the suppressed-content bucket and ensures every post gets the same reach as a fully original upload.
Rewrite the caption with the same hook
The AI rewriter reads the original caption, identifies the emotional hook that made the post stop the scroll, and writes a completely new version. Every sentence is different. The hashtag set is refreshed. The call to action points to your destination. The energy and angle of the original are kept because that is what made it work. The result is a caption that passes any text-similarity check and still carries the same pull as the original.
Schedule across the accounts
The modified file and the rewritten caption go into the scheduler. It spreads each post across your accounts at the optimal times, at a pace of about five posts a day per account. You set the schedule once and the bot fills every slot automatically. With five accounts, that is twenty-five posts a day going out while you sleep, all built from content that already had an audience.
The scraper watches top creators
It monitors the list you gave it and flags every post that crosses your engagement floor
The bot downloads the winners
Each qualifying post is saved with its caption, engagement numbers, and source account
The AI modifies and rewrites
A small tweak to the file, a full rewrite of the caption, both done automatically
The scheduler posts across every account
Five posts a day per account, at the right times, with no further input from you
Want to build this in your own business?
Automations Made Easy teaches you, step by step, how to build content bots like the one you just read about. Zero coding. Plain English. 1,000+ students have already used it to keep their feeds full without writing a single post themselves.
The six months after I switched it on
Here is the modest shape of it. The first month is slow because the source list is still being calibrated and the queue is thin. From month two the queue stabilises, the posting schedule runs without gaps, and the account growth starts to compound.
Posts published per account per month (conservative estimate, single account)
The curve flattens fast. Once the queue is full and the schedule is set, the machine posts at a steady 150 a month without any extra effort, every single month, for as long as you run it.
What other students built
I teach the simple skills behind machines like this in Automations Made Easy. Students who built their own version sent back what changed in their first month.
“I went from posting twice a week to five times a day and I have not written a caption in three months. The accounts just keep growing.”
“The engagement filter is the part most people skip. When I set it properly I stopped posting mediocre content and the growth rate doubled in six weeks.”
“I run twelve accounts across three niches. Before this bot I had a team of two writers. Now it is just me and the bot posts more consistently than any human I have hired.”
“The second bot that redirects engaged followers to my opt-in page is where the real money is. The reposting bot grows the audience, the redirect bot fills my list.”
What’s inside Automations Made Easy
AME isn’t a library of pre-built automations. Every business is slightly different. What’s reusable across all of them is the underlying mechanics: how to set up little machines that listen, write, and follow up while you sleep, and how to wire the pieces together without writing code.
The program walks you through six modules: The Right Tools (the cost-effective, no-code stack I actually use), Task Selection Mastery (which automations are worth building first), Design Secrets (mapping an automation before you build it), Zero to Hero (complete beginner to confident automator), Real-World Application (we build a full automation together, end to end), and Monetization Mastery (turn the skill into a side-business).
It also includes done-for-you templates you import in two clicks, over-the-shoulder training videos, and the same playbook 1,000+ students have used to save two hours a day. No coding required. If you can copy and paste, you can build this.
The content reposting bot: common questions
Pulled from what readers and Automations Made Easy students ask most.
Is this legal? Can I repost other people’s content?
The legality depends on the platform and the niche. On most short-form video and image platforms, viral public content is widely reshared as a standard growth practice. The rewrite step means the caption is original. For added safety, many people in this space focus on content from accounts that explicitly invite sharing, such as quote pages, educational niches, and motivational content. When in doubt, check the platform’s terms and err on the side of adding genuine value in the caption.
Will the algorithm detect it as reposted content?
The combination of the caption rewrite and the small file modification is what prevents detection. Posting an identical file with an identical caption will be flagged. Posting a file with a different hash and a genuinely new caption is treated as original by every major platform’s current content-matching system. The modification step is non-negotiable.
How many accounts can the bot manage at once?
There is no hard ceiling in the architecture. In practice, the limiting factor is the number of posting API connections the scheduler supports. Most schedulers handle 10 to 50 accounts without issue. Beyond that, you run multiple instances of the same system in parallel. The scraper, filter, and rewriter are the same regardless of how many accounts you are posting to.
What if the source creators start posting less?
That is why the source list has 10 to 20 accounts, not two or three. If one account goes quiet, the others keep the queue full. You review the source list once a month, remove accounts that have gone inactive, and add fresh ones. The review takes about fifteen minutes.
Do I need to code to build this?
No. The scraper, the rewriter, and the scheduler are all built by connecting a handful of no-code tools together. If you can copy and paste, you can build it. That is exactly what Automations Made Easy teaches.
More Money Makers like this one
Built from the same handful of mechanics. Each one captures, converts, or earns money that would have walked out the door.
Build the always fresh feed yourself, or learn the mechanics inside Automations Made Easy.
If you want to learn the mechanics and build it on your own accounts, Automations Made Easy is the playbook. Step by step, no code, plain English. If you want to talk through the strategy for your specific niche first, I take a small number of consulting clients each month.
€497 one-time · Lifetime access · 1,000+ students
