I Built an AI-Powered Social Media Management Platform in Days. Here's Why I Opened It Before It Was Ready.

Ateeb Ur Rahmaan — Fri, 07 Aug 2026 04:52:03 +0000

I Built an AI-Powered Social Media Management Platform in Days. Here's Why I Opened It Before It Was Ready.

A few days ago, Virlio didn't exist.

Today, it's live.

Not finished.
Not polished.
Definitely not bug-free.

But it's public.

Instead of spending months trying to make everything perfect, I decided to build an MVP quickly, ship it, and let real users tell me what's actually worth building.

The Problem

Every time I managed multiple social accounts, I found myself doing the same repetitive tasks.

Switch platforms.

Upload media.

Rewrite captions.

Copy hashtags.

Schedule posts.

Repeat.

Existing tools solve part of the problem, but I wanted something that combined automation, AI, and social media management into one platform.

So I started building Virlio.

What is Virlio?

Virlio is an AI-powered social media management and automation platform.

The long-term vision includes:

Social publishing
Workflow automation
AI-assisted content creation
Brand management
Media management
Analytics
Team collaboration

The current version is intentionally small.

The goal wasn't to build everything.

The goal was to build enough to start learning.

Why Ship So Early?

Because developers are terrible at guessing what users actually want.

It's easy to spend months implementing features nobody ends up using.

Instead, I wanted feedback as early as possible.

Real users expose problems that no amount of local testing ever will.

Things like:

Confusing UI
Broken workflows
Missing features
Performance issues
Edge cases

Those are exactly the things I want to discover now—not six months from now.

Building in Public

One decision I made early was to keep development transparent.

I created a public community repository where anyone can:

Report bugs
Suggest features
View the public roadmap
Follow releases
Join discussions

The application itself remains private, but the development process doesn't have to be.

What I've Learned Already

Even before getting many users, a few lessons became obvious.

Perfection delays learning

Shipping something imperfect teaches more than endlessly polishing an unreleased product.

Feedback beats assumptions

The best feature ideas usually come from people actually trying to solve real problems.

Transparency builds trust

Users are much more understanding when you're honest about the product's current state.

What's Next?

The immediate focus is simple.

Improve stability
Fix bugs
Refine the user experience
Expand integrations
Continue building based on community feedback

No giant roadmap promises.

Just continuous iteration.

Try Virlio

If you'd like to help shape the platform, I'd love your feedback.

Live Open Alpha

https://virlio.iteebot.com

Community Repository

https://github.com/iTeebot/virlio-community

Public Roadmap

https://github.com/orgs/iTeebot/projects/3

Whether you find a bug, suggest a feature, or simply tell me something feels confusing, every bit of feedback helps.

I'm looking forward to seeing where the community takes Virlio next.

npm-ai-hooks: Inject LLM behavior into any TS function with one line

Ateeb Ur Rahmaan — Sat, 11 Oct 2025 09:10:10 +0000

Hey everyone 👋

I’ve been working on something I wish existed earlier — npm-ai-hooks — a universal AI hook layer for Node.js and TypeScript.

It lets you inject LLM behavior into any JS/TS function with just one line.
No need to manage SDKs, prompts, or API differences between providers.

import { ai } from "npm-ai-hooks";

const summarize = ai.wrap(t => t, { task: "summarize" });

console.log(await summarize("Node.js is a JavaScript runtime built on Chrome’s V8..."));

That’s it — you just made a function “AI-aware.”

🚀 What makes it cool

Works with OpenAI, Claude, Gemini, DeepSeek, Groq, Mistral, Perplexity, xAI Grok, and OpenRouter
Unified interface for all providers
Built-in tasks: summarize, translate, rewrite, codeReview, explain, etc.
Handles caching, cost-awareness, and errors automatically
Fully open source (MIT)

💡 Why I built it

Every AI SDK feels different — with its own setup, auth, and quirks.
I wanted something like React Hooks, but for backend AI logic.

So now you can do:

const reviewCode = ai.wrap(code => code, { task: "codeReview" });

and get meaningful results without writing a single prompt.

🔗 Links

GitHub: https://github.com/RealTeebot/npm-ai-hooks
npm: https://www.npmjs.com/package/npm-ai-hooks

I’d love your thoughts and contributions — new features, provider ideas, or improvements are all welcome.
If you like the concept, try it, star it, and let’s build an AI abstraction layer that just works ✨

DEV Community: Ateeb Ur Rahmaan

I Built an AI-Powered Social Media Management Platform in Days. Here's Why I Opened It Before It Was Ready.

I Built an AI-Powered Social Media Management Platform in Days. Here's Why I Opened It Before It Was Ready.

The Problem

What is Virlio?

Why Ship So Early?

Building in Public

What I've Learned Already

Perfection delays learning

Feedback beats assumptions

Transparency builds trust

What's Next?

Try Virlio

npm-ai-hooks: Inject LLM behavior into any TS function with one line

🚀 What makes it cool

💡 Why I built it

🔗 Links