# Scaling user growth efficiently : How AutoCoder.cc activated 100+ influencers to drive 600k+ impressions via AhaCreator

# **1. Meet AutoCoder.cc**

AutoCoder.cc is an AI-powered application generation tool designed for non-programmers. Users don’t need to know how to code—by simply describing their requirements, **they can generate a complete application that includes frontend, backend, and database, which can be directly deployed and used.** Currently, AutoCoder.cc supports generating mobile apps, allowing users to download an APK file and run the app directly on their phones.

In the team’s view, there are only two types of people in the world of code: programmers, and those who can’t write code but still have strong product needs. For this reason, AutoCoder.cc chose **a more challenging yet more thorough path from the very beginning—end-to-end generation of truly usable software**, rather than stopping at a “frontend demo” for display purposes.

At present, 86% of the AutoCoder.cc team consists of R&D engineers, and only three people are responsible for growth. Such an extremely lean growth setup also means the team must find **a growth approach that is both highly efficient and capable of truly reaching the right users.**

# **2. For AutoCoder.cc, Influencer marketing is not just exposure, but measurable, real conversion**

For complex AI tools that require explanation, relying solely on ads makes it difficult to clearly communicate product value within limited exposure time.

Against this backdrop, the team began to consider whether influencer marketing was worth trying.

On one hand, they observed that more and more AI products—especially overseas competitors—were acquiring users through influencer content. On the other hand, growth speed itself was critical for AutoCoder.cc at that stage: without quickly validating effective channels, it would be difficult for the product to move into its next phase.

**“We saw that more and more AI products are mainly acquiring users through influencer marketing. For us, speed was very important—we needed to ramp up volume as quickly as possible.”**

Based on this judgment, the team did not make a heavy upfront investment. Instead, they started with relatively small-budget tests.

The results quickly delivered a clear signal: under the same budget and time frame, **influencer marketing significantly outperformed previous ad campaigns.** As a result, AutoCoder.cc began scaling influencer marketing, while setting clear evaluation criteria from the very beginning:

**“First, we look at overall exposure; second, registration conversion; and finally, paid results.”**

This prioritization itself reflects the team’s understanding of influencer marketing: **it is not only a conversion tool, but also a long-term way to build connections with potential users and shape product perception through real usage scenarios.**

# **3. Working with agencies: it works, but at high cost, long cycles, and low control**

Before working with AhaCreator, AutoCoder.cc had collaborated with multiple overseas agencies for influencer marketing, but the overall experience was far from ideal. The issues the team encountered were mainly concentrated in three areas.

- **First, cost.** “At the time, the cost per registration through agencies was basically three to five times higher than what we achieved through ads or working with you.” Agencies typically packaged collaborations as campaigns, using fixed budgets to provide a mix of top-, mid-, and long-tail influencers. In practice, however, results were heavily concentrated among a small number of top influencers: **“Out of ten influencers, maybe only two or three were effective, while long-tail influencers generated almost no volume.”** Overall, registration and payment costs were unsustainable.
- **Second, influencer supply and pacing.** Agencies relied heavily on manual sourcing: **“In a single batch of proposals, fewer than ten influencers might actually meet our needs,”** and their overall pool was limited, quickly reaching a ceiling. Even with sufficient budget, it was difficult to continuously scale in a short period of time.
- **Finally, lack of control over content and delivery.** “Most of the time, they were just acting as messengers and couldn’t truly control content quality.” The team even encountered cases where influencers simply clipped videos from the brand’s official website and submitted them as deliverables. **The repeated back-and-forth revisions were extremely draining for the team.** Under this model, it often took more than a month to complete a single collaboration cycle—from influencer selection to alignment and content launch. For a growth team of only three people, this pace and uncertainty were nearly impossible to sustain.

# **4. “We no longer need to watch execution—we just need to make judgments”**

The AutoCoder.cc team first encountered AhaCreator through recommendations from an increasing number of industry peers.

Once they actually started using it, the experience was very straightforward:

“We just click a button on the platform, and everything else moves forward.”

Compared with previous tools or agencies, the changes brought by AhaCreator were reflected in several key areas:

- **From finding influencers to selecting influencers:** In the past, “some automated tools could only help find influencer information, which basically covered just 10% of the work. The remaining steps—outreach, price negotiation, authenticity verification, payment, and content communication—were still heavily manual. On AhaCreator, the team only needs to do one thing: decide whether an influencer is worth working with.”
- **From fragmented communication to centralized platform management:** Outreach, negotiation, and payment are all automatically handled on AhaCreator. Influencer screening and content review are managed centrally on the platform. The team no longer needs to constantly switch between emails, DMs, and spreadsheets. As one team member shared: “I wasn’t even aware of the negotiation process, but when I saw the final influencer quote on the platform, it was a reasonable price.”

Currently, **AutoCoder.cc’s growth team reports that screening an influencer on the platform takes about two minutes, and spending just one to two hours per day is enough to move the entire influencer marketing pipeline forward. Compared with self-managed outreach, overall efficiency has increased by more than 80%.**

# **5. Results: lower cost, faster pace, more controllable growth**

In actual collaborations, AutoCoder.cc has successfully completed partnerships with hundreds of influencers through AhaCreator, and the improvements in both process and results have been highly visible.

- **Short-form video launch cycles have been reduced to about one week,** compared to roughly three weeks when working with agencies; **long-form videos can also be published within one to two weeks,** significantly improving overall efficiency.
- **Registration costs have dropped by at least 50% compared to traditional agencies.**
- Content quality and conversion outcomes are also much more controllable: **about 80% of influencer quotes fall within the team’s expected range, and content performance has remained stable and reliable.**

The team also shared the standout case:

**Arabic influencer’s video, while generating around 70,000 views, directly resulted in a meaningful number of paid users.**

These experiences gradually helped the team form a clear methodology:

- rather than chasing broad, unfocused exposure, **it is more valuable to work with influencers who truly understand the product and can clearly demonstrate real usage scenarios.**
- Influencer content **is not only a user acquisition channel, but also a reusable, scalable content asset for brands.**
- At the same time, the team deeply realized that in an AI-driven era, **_people_** **are still the best interpreters—capable of conveying product value to users in the most authentic and vivid way.**

# **Conclusion**

In the team’s view, the essence of AI is to amplify efficiency.

In the AI era, influencer marketing is no longer about piling up people and budgets— **it is a competition centered on efficiency, judgment, and system capability. AutoCoder.cc** is not chasing the most aggressive growth tactics, but instead uses limited manpower to consistently **find users who truly understand the product and are willing to stay.**

The value AhaCreator brings to them is not about replacing judgment,

**but about freeing judgment from repetitive, fragmented execution—so the team can focus its energy on the decisions that matter most.**

**A Word from Autocoder.cc:**

> “Using AhaCreator, our efficiency increased by over 80%. It only takes 2 minutes to confirm an influencer, and 1–2 hours to accomplish what used to take a whole week.”

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