I’m Building an AI Agent That Grows Your X Account While You Sleep

Caleb Rhodes — Fri, 10 Jul 2026 00:42:24 +0000

Growing a product on X sounds simple:

Create useful content.
Post consistently.
Engage with the right people.
Study the results.
Repeat.

In reality, each step becomes a separate job.

You have to research topics, write posts, find good hooks, choose publishing times, reply to comments, join relevant conversations, track performance, and decide what to do next.

For an independent developer, this can take more time than building the product itself.

That is why I’m building Groniz:

AI that grows your X account while you sleep.

Groniz is not meant to be another AI writing box or a basic post scheduler. The goal is to build an AI social growth agent that operates across the complete growth loop:

Create content
Publish it
Engage with users
Analyze performance
Improve the next round of content

Here is what that looks like.

1. Content That Sounds Like You

Content generation is the first part of the system—and usually the first value users experience.

Groniz is designed to help create:

X posts
Threads
Meme copy
Trend-based X content
Rewritten versions of existing posts
Multilingual X content

But grammatically correct text is not enough.

Most generic AI content is immediately recognizable. It uses the same structures, polished phrases, and predictable conclusions.

The more interesting challenge is teaching the AI how a specific person communicates.

Groniz is being designed to learn from existing content, including:

Tone
Vocabulary
Sentence structure
Preferred topics
Opinions and recurring ideas

The goal is not simply “generate a post about AI.”

It is:

Generate a post about AI that sounds like something I would actually publish.

2. Automated Publishing

A good post is not useful if it stays inside a draft folder.

The publishing system covers:

Scheduled posts
Best-time publishing
Multi-account workflows

Groniz currently supports X only.

Instead of manually maintaining a content calendar, users should be able to build a publishing system that continues working while they are coding, talking to customers, or sleeping.

3. Engagement, Not Just Broadcasting

Many social media tools stop after publishing.

But posting is only one side of social growth. A large part of growth comes from conversations:

Replying to comments
Participating in relevant discussions
Engaging with industry creators
Responding while a topic is still trending
Turning audience attention into relationships

This is where the AI Reply and Engagement agents come in.

For example, if someone comments:

How did you grow this account?

The agent could prepare a response such as:

Consistency and better hooks made the biggest difference. I can share the framework if you want.

The response should consider the original post, the conversation, and the account’s communication style.

The long-term vision is an agent that helps users discover valuable conversations and participate in them without turning their account into a spam bot.

That distinction matters. Automation should improve the quality and consistency of human interaction—not fill the internet with empty replies.

4. A Growth System, Not Just a Tool

The next layer is proactive growth.

Instead of waiting for the user to decide what to write, Groniz can analyze signals from sources such as:

X/Twitter trends
Reddit discussions
TikTok trends
Google Trends
Industry news

It can then identify relevant opportunities and generate timely content for X.

The growth system also includes a specialized AI Hook Generator.

Hooks might follow structures like:

Nobody tells founders this…

I tried this for 30 days…

This AI tool replaced a repetitive task in my workflow…

The system can test variables such as:

Different hooks
Alternative copy
Publishing times
Creative variations

Over time, the strongest versions can influence future recommendations.

This turns content creation into an optimization loop instead of a sequence of unrelated posts.

5. Analytics That Tell You What to Do Next

Most analytics dashboards give you charts.

Charts are useful, but they still leave the difficult question to the user:

What should I do next?

Groniz is being designed to translate performance data into decisions.

For example:

Your audience responds three times more often to contrarian posts.

Or:

Posts about AI automation outperformed your SaaS updates by 42%.

The analytics layer is intended to provide:

Weekly AI reports
Content recommendations
Best publishing-time predictions
Audience analysis
Explanations for growth or decline
Suggested experiments for the next week

The goal is to make analytics feel less like looking at a dashboard and more like talking to a growth operator.

6. Turning DMs Into Outcomes

Public engagement creates attention, but many conversions happen privately.

The planned AI DM agent can help with:

Answering common questions
Qualifying leads
Sharing relevant links
Booking calls
Supporting sales conversations

You can think of it as an AI SDR built around social media conversations.

This area requires careful controls. Users should decide what the agent can send, which conversations require approval, and when a human needs to take over.

7. Repurposing Existing Content

Creating something valuable once should not mean publishing it only once.

Groniz can turn long-form content into smaller formats. For example, one article could become:

An X thread
Several standalone X posts
Hooks and alternative introductions
Follow-up posts based on individual sections

For independent developers, this is one of the highest-leverage workflows. One detailed product insight can power an entire week of distribution.

Pricing

I want the pricing to work for both individual builders and teams managing multiple accounts.

Lite — $11.99/month

One X account
$5 in included monthly credits
Credits reset each month

Pro — $50.99/month

Five X accounts
$25 in included monthly credits
Credits reset each month

Max — $100/month

Unlimited X accounts
$50 in included monthly credits
Credits reset each month

What I’m Trying to Learn

I’m building Groniz as an independent developer, and I want to build it in public.

The hardest questions are not only technical:

How much automation do users actually want?
Which actions should always require approval?
How can an AI learn someone’s voice without producing repetitive content?
How do we measure real growth instead of vanity metrics?
How can engagement automation remain useful without becoming spam?
Which part of the growth loop creates the most value?

If you are building a product, growing an audience, or experimenting with AI agents, I would love to hear how you currently manage social media.

What takes the most time for you: creating content, publishing consistently, engaging with people, or understanding analytics?

You can learn more at groniz.com.

I’ll share what I learn while building it.

DEV Community: Caleb Rhodes