Hassaan Ghaffar

Hassaan Ghaffar

AuraPrompt — AI Video Prompt Generator

About

AuraPrompt is a structured prompt engineering studio built for AI video creators. Tired of unpredictable AI video generations? AuraPrompt gives you granular control over your outputs with built-in presets for camera movements, angles, lighting, and aspect ratios. šŸ”„ Key Features: • Fully Optimized for Runway Gen-3, Luma Dream Machine, & Sora • 1 Click to generate 3 distinct cinematic prompt variations • Granular controls: Dolly, Pan, Zoom, Neon, Golden Hour & more • Free tier: 5 prompts/day, no signup or credit card required Built by a solo developer to help the AI community craft perfect cinematic videos. Drop your feedback below!

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Maker History

  • AuraPrompt
    AuraPromptStructured AI video prompts for Sora, Veo & Kling
    Jul 2026
  • šŸŽ‰
    Joined Product HuntJune 28th, 2026

Forums

Paybond 0.11.11 — new homepage and Mastra, CrewAI, Cloudflare Agents, and x402 funding

We just shipped 0.11.11 and rebuilt paybond.ai around a clearer idea: AI agents need transaction infrastructure, not just API keys.
Since our last update (0.10.0), here's what's new:

Homepage

The site now walks through the full Paybond stack:

Kit integrates Harbor settles Ledger records Signal builds standing

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2mo ago

16-Year-Old AI Developer: Building AuraPrompt and preparing for my first launch this Sunday!

Hey Product Hunt community!

I m Hassaan, a 16-year-old developer and AI creator. I ve spent the last few months diving deep into AI video generation and noticed how challenging it can be for creators to get highly structured, cinematic results from models like Sora and Kling.

To solve this, I built AuraPrompt a tool designed to generate perfect, production-ready video prompts with just a single click.

We are officially scheduled to launch this upcoming Sunday (July 5th)! Since this is my first ever global launch, I am incredibly excited but also trying to learn as much as possible. I would love to connect with other indie hackers and makers here.

Your analytics tool probably spotted a churn risk weeks ago but did nothing about it

That's the ceiling nobody prices in. The AI reads your data, writes a beautiful summary of the problem, and then a human copies the customer list into another tab and starts the actual work by hand.
So we built the part after the insight. Basedash Actions writes and runs the SQL to find the answer, then reaches into the tools where the work actually lives (Stripe, HubSpot, and anything else with an MCP server) and does the follow-through. Find the accounts, update the CRM, chain the steps into a workflow that runs on its own.
The obvious objection: nobody sane wants an AI acting on production data unsupervised. Agreed, which is why every action runs through a human approval gate. You see exactly what it's about to do, in plain terms, before it does it.
The gates add friction, and that's deliberate. Trust in agents gets earned one approved action at a time, and I'd rather ship the training wheels than ship the incident report.
We just launched yesterday on Product Hunt. Would you trust this?

https://www.producthunt.com/prod...

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