A 14-year-old's app hack: 500 DMs a day and bought followers

Aggressive Outreach and Utility-Driven Partnerships

The central thesis for scaling a consumer app in the current Gen Z landscape is not found in expensive paid ads or broad organic reach, but in high-volume, manual influencer outreach paired with specific, performance-oriented deal structures.

Evan Yadegari, a 14-year-old in ninth grade, demonstrated this by scaling his app, Locked, to over $14,000 in monthly revenue. His success was not a matter of luck, but the result of testing multiple channels—including Reddit, X (formerly Twitter), and paid advertising—before identifying influencer marketing as his primary growth lever.

The most effective way to leverage this channel is through the "Day in the Life" creator archetype. These creators produce content that naturally integrates products into daily routines. For a Gen Z audience, seeing a creator use a productivity or self-improvement app to check off tasks feels organic rather than like a forced advertisement.

A case study in efficacy:

A single video featuring creator Jeremiah Jones, which utilized this "Day in the Life" format, pulled approximately one million views across Instagram, Facebook, and TikTok. That single piece of content generated at least $3,000 in revenue for the app.

To achieve these results, the strategy requires massive scale. Yadegari suggests that a founder should be prepared to reach out to a pool of at least 5,000 to 10,000 influencers to find the right mix of engagement and conversion. This is a volume game that demands a high degree of manual persistence and a willingness to bypass platform restrictions to maintain momentum.

The Influencer Playbook: Targeting and Vetting

Successful acquisition via influencers depends on moving past "vanity metrics." While many founders focus on raw follower counts, the playbook prioritizes engagement rates and the actual views a creator pulls per video.

Finding the Right Archetype

Yadegari identified three primary niches for his productivity app:

• Self-improvement influencers: Creators focused on mindset and discipline.
• Gym influencers: Fitness-oriented creators who often document daily routines.
• "Day in the Life" creators: General lifestyle influencers whose content revolves around daily task management.

The "Day in the Life" category is particularly potent because it provides a natural stage for product utility. When a creator uses an app to gamify or track a task, it provides a visual "plug" that feels like part of the narrative rather than a commercial interruption.

Vetting for Engagement Quality

A critical part of the vetting process is looking past the numbers to the quality of the comment section. Yadegari notes that followers do not matter if the audience isn't active.

How to spot low-quality influencers:

Look at the comments. If a creator's comment section is dominated by nothing but emojis, they are likely not a great influencer for conversion. A high-quality creator will have a community that interacts with one another and asks specific, substance-driven questions about the content.

Effective influencers should consistently pull between 5,000 and several million views per video. The goal is to find creators whose audience is loyal and engaged enough to act on a product recommendation.

Deal Structures and Execution Tactics

Once the right creators are identified, the strategy shifts to how those partnerships are structured and executed. Yadegari outlines four distinct deal models, but emphasizes one as the clear winner for scaling.

The Four Deal Models

The Minimum View Clause is favored because it anchors the creator's motivation to a specific outcome. For example, if a founder pays $800, they might set the minimum view requirement between 400,000 and 800,000 views. If a creator's first video only hits a fraction of the target, they are contractually obligated to continue posting until the collective views meet the benchmark. This effectively shifts the risk of a "flop" from the founder to the creator.

High-Volume Outreach Mechanics

To feed this machine, outreach must be aggressive. Because platforms like Instagram impose rate limits (often around 100 DMs per day), Yadegari's team utilized multiple accounts—each bolstered with at least 1,000 followers and verification—to send upwards of 500 DMs daily.

The outreach message should be:

1. Simple: Start with "Paid promo?" to grab attention in a crowded inbox.
2. Direct: Immediately identify yourself as a founder and state the purpose.
3. Call-oriented: Always push for a call to negotiate rather than haggling over DMs.

The 15-Second Rule and Conversion Tactics

Execution of the content itself follows a strict rule to protect viewer retention. The app must be incorporated into the video within the first 15 seconds. If the product appears earlier, it feels like an ad; if it appears later, the viewer has likely already scrolled past.

To drive conversion without a loud "Call to Action," Yadegari uses a psychological "curiosity loop":

• Visual Cues: Ensure the app name is clearly visible in the video (e.g., a bold nameplate in the corner).
• Pinned Comments: A personal account asks, "What's this app? I need this!" The influencer then replies with the app name and pins that comment to the top of the thread.

Rapid Prototyping: The Non-Technical Workflow

A part of this scaling playbook is the ability to move from idea to functional product without a deep technical background. Yadegari describes an iterative, AI-augmented workflow that prioritizes speed.

The process typically follows these steps:

1. Design in Figma: Scope out the onboarding flows and main screens visually.
2. Prompting in Claude: Once the design is finalized, the visual layouts are fed into Claude (an AI model) to generate the initial code and prototype.
3. Constant Iteration: The founder continuously plugs in keys, fixes bugs, and refines the UI/UX through conversation with the AI.

Want the technical picture?

This workflow leverages the ability of modern LLMs to translate visual logic into functional code. Instead of writing every line of Swift or Kotlin manually, the founder acts as a product manager and debugger, using the AI to handle the heavy lifting of the implementation loop.

This approach allows founders to focus on the high-level problem-solving and marketing required to scale, rather than getting bogged down in the minutiae of software engineering. This is the philosophy behind 10X, a platform Yadegari launched that allows users to enter a prompt and have a fully functional app built for them.

Scaling consumer products

For founders and product managers, this playbook offers several strategic shifts in how to approach growth and ideation.

Product Ideation and Market Fit

When deciding what to build, prioritize problems with a high Total Addressable Market (TAM). An app that solves a personal pain point is a great start, but for the influencer model to work, the problem must be widespread enough to sustain the cost of aggressive marketing. If the TAM is too small, the high cost of influencer acquisition will quickly outpace your revenue potential.

Creator Selection and Operations

Move away from the "celebrity influencer" model. Instead, build a dedicated operations workflow for managing a high volume of micro-influencers. Focus your vetting on engagement quality—specifically the ratio of meaningful comments to simple emojis. This ensures you are buying access to an attentive audience rather than a vanity metric.

Managing Uncertainty

While this model is powerful, builders should remain cautious about two specific unknowns:

1. Retention: It is currently unclear if users acquired through "Day in the Life" content have the same long-term retention rates as those found through organic search.
2. Scale Sustainability: A 10% conversion rate is impressive, but whether this holds steady as you move from early adopters to the mass market remains to be seen.