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- Blue Ocean Opportunity: Monetizing X Algorithm (50M Impressions) by Leveraging X's Elon Musk Bias
Blue Ocean Opportunity: Monetizing X Algorithm (50M Impressions) by Leveraging X's Elon Musk Bias
PLUS: Why are there so many women in marketing?
Blue Ocean Opportunity: Monetizing X Algorithm (50M Impressions) by Leveraging X's Elon Musk Bias
Jonas Lismont studied the X algorithm and found a blue ocean opportunity. X rewards certain narratives.

Jonas Lismont - X Account
Specifically, it pushes content that favors Elon Musk and Donald Trumpâespecially from verified Checkmark accounts.
Jonas saw this bias and used it to his advantage. He built a network of accounts that echo those themes, engineered to win reach and ad payouts.
Instead of trying to guess what content would work, he let the algorithm decide. It liked Elon. It liked Trump. So he built around them.
X Amplifies Pro-Elon Musk Content from Verified Accounts
X has a clear pattern. Pro-Elon Musk content gets boosted. That includes tweets about his achievements, quotes from his interviews, commentary on his companies, and real-time updates on his public activity.
It helps that Elon Musk is a master at PR.
Verified accounts pushing this type of content routinely outperform others, often with no original commentary or analysis. Jonas took note. He didnât try to fight the currentâhe aligned with it.
The result: tens of millions of impressions from short, repackaged content that Elon fans already enjoy.
Jonas Created a Full Ecosystem of Elon-Centric Accounts
Jonas didnât just make one account. He built a layered system of Elon-themed content. Each account serves a different purpose, but all feed into the same flywheel: extract content, reformat it for reach, and get impressions.
Some of these include:
@Elon_Docs: Publishes screenshots and quotes from Elonâs old tweets, press statements, and interview segments.
@ElonAlertsX (114.4K Followers) â Posts real-time alerts whenever Elon tweets or replies, giving followers instant updates.
@ElonFactsX (83.5K Followers) â Shares data points, milestones, and stats tied to Elon and his companies.
@ElonClipsX (165.8K Followers) - Publishes short video clips from Elonâs interviews, keynotes, and social media activity.
Each account exists to serve a segment of Elonâs fanbase. Together, they create a net that captures nearly all engagement around Elon-related content.
The best part is Elon Musk often retweets and reposts such content and gets you 50M+ impressions from his 220M followers. And he does it regularly for this account.

Elon Clips Quote-Tweeted by Elon Musk
@ElonClipsX, for example, consistently gets over 100,000 impressions daily by posting short clips that require no new filming. Everything comes from existing interviews and videos.

Elon Clips - X Account
Captions can be AI-generated through zero-cost video transcript, and clips can be batch produced.
Automation and Outsourcing Make the Model Nearly Hands-Off
The system is easy to replicate and maintain. It can scale with minimal input. Most of the content is pre-existingâinterviews, tweets, or public appearances. This means thereâs no need to film, write, or design from scratch.
Automation tools make the process efficient. AI can help generate copy. AI tools can clip and caption videos. Scheduling tools post content at regular intervals.
Human effort is limited. You can easily hire Elon fanboysâenthusiasts (plenty) who already consume the contentâfor clipping tasks. These workers cost around $1,000/month and handle sourcing and editing clips.
Everything else runs on schedule.
The Revenue Comes from X Ads, Driven by Sheer Impressions
The monetization is direct. X pays creators based on the engagement they generate especially from verified followers. This includes views, likes, retweets, and replies. The more impressions an account generates, the more it earns.
With over 50 million impressions across his Elon-related accounts, Jonas likely makes at least $10,000/month. The costs stay low, thanks to automation and inexpensive labor.
No products are sold. No courses are pitched. The model relies purely on platform payouts.
Jonas Applied the Same Playbook to Trumpâs Content
In May 2025, Jonas expanded his strategy. He launched @TrumpAlertsX, an account dedicated to tracking Donald Trumpâs activity on Truth Social.

Trump Alerts - X Account
Like Elonâs content, Trumpâs posts get algorithmic support. Theyâre polarizing, high-engagement, and often quoted or reposted. Jonas created a system that posts Trump's updates as soon as they happenâmirroring the function of @ElonAlertsX.
This isnât a pivot. Itâs a duplication. The model works, and the audience exists. Jonas plugged in the same strategy and used the same mechanics.
Other Operators Are Running the Same Model with Different Figures
Jonas isnât alone. Several other anonymous accounts have adopted this approach. They build bots around known personalities, using automation to keep them active and visible.
One example is @NavalismHQ, which curates Naval Ravikant quotes. It doesnât require new contentâjust repackaging what Naval has already said.
Another is @48_quotes, a fully automated bot that posts quotes from Robert Greeneâs The 48 Laws of Power. This account is fully automated and makes around $10,000 per month by driving sales to Gumroad PDFs linked in the bio.
These operators donât post personal takes. They repurpose known content that already performs before deleting tweets older than 3 months.
The genius of Jonasâ model is his account is pro-platform owner. It means itâll get pushed as long as the owner wants to.
The Opportunity Remains Largely Untapped
Jonas Lismontâs approach stands out not just because it works, but because few people do it. The model targets an algorithmic sweet spot with minimal competition.
Most creators chase novelty or try to create from scratch. Jonas identified a lane where the content already exists, the audience is engaged, and the algorithm is on your side.
By focusing on system design, he built a low-maintenance, high-yield operation that leverages the biases of the platform itself.
Top Tweets of the day
1/
got a cold email from a barber
why are more barbers not doing this
my current barber has an LTV of over $6-7k on me
â Nick Abraham (@NickAbraham12)
6:03 PM âą May 10, 2025
If you live in a HCOL (high cost of living) location, offer your services to blue-collar workers. Its a blue-ocean market.
"When you combine things you are not supposed to combine, people get interested." ~ Naval Ravikant
Nobody is making a specialized agency sending cold emails for blue-collar workers. Insane alpha right here. You can make $50k/month with just 25 clients at $2k/month. You only need a specialised landing page of Barbers from NYC. Can target them using FB Ads like Gary Vee did for his pops.
2/
Thereâs nothing quite like AI video
(from bigpaw_13 on IG)
â Justine Moore (@venturetwins)
4:02 AM âą Apr 30, 2025
This ad should absolutely print due to novelty.
AI Video will cut CPAs in half. The Hustle tried AI Images and got a 300% conversion rate and now you can try the same strategy for AI Video.
3/

Greyhat B2B LinkedIn Sauce
@zephyr274 got his X account suspended because he gave too much greyhat sauce.
One of his tweets was about using fake female PFPs to close more sales from top CFOs (mostly middle-aged men). The PFP was an attractive blonde but not unapproachable. Shouldn't be too out of the league of most men. The psychology is the hottest women get hit on a lot less than the average or above average women since most men self-reject themselves.
Hopefully, gets his account back lol.
This 71 mins masterclass covers his blackhat strategy if you do LinkedIn outreach.
Here's a secret: all big companies like to exploit unethical hacks to become big. Once they become big, they like to curb any competition that uses such hacks against them.
So if you talk about those hacks, your site/account gets banned.
Recent example would be the guy using AI to pass Leetcode to get jobs into big tech companies like Amazon. Companies love using AI for job applications. They hate it when their employees do.
Rabbit Holes
EXPLAINEDđ - AI Agents vs. Workflows by Sabrina Ramonov
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LLM Agents are simply Graph â Tutorial For Dummies by Zachary Huang
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