Abdullah Irfan

Abdullah Irfan

Building SlideMorph | AI Presentations

About

I'm a student and developer building SlideMorph, an AI-powered presentation platform focused on creating professional presentations with smooth Morph-style transitions. I enjoy turning ideas into practical products and exploring the intersection of AI, software development, and visual design. Currently building and improving Slide Morph.

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Maker History

  • Slide Morph
    Slide MorphCreate polished, animated presentations with AI
    Sep 2026
  • 🎉
    Joined Product HuntSeptember 5th, 2026

Forums

I built Slide Morph — AI presentations with built-in animations

I ve been experimenting with AI presentation tools and noticed that while they can generate slides quickly, the final result often still needs a lot of manual work especially with animations, transitions, formatting, and mathematical content.

So I built Slide Morph to make that part easier. It generates polished presentations with built-in animations and transitions, while also handling mathematical content directly in the slides.

I d really like to hear from people who create presentations regularly:

What s the biggest problem you still have with AI presentation tools?

•

2mo ago

Slide Morph - Create polished, animated presentations with AI

Slide Morph turns ideas, documents, images, and web content into polished presentations with AI. Unlike basic AI slide generators, it uses pre-designed presentation structures with logical transitions and built-in animations, so users don't have to manually animate every slide. It also renders mathematical content directly into presentations instead of using raw text.

Your users will rate the flattering version higher. That's exactly why you can't ship it.

A Stanford study just put numbers on AI sycophancy the more your model agrees with people, the more they trust it, and the worse their decisions get. For makers, that means your happiest metric might be your most dangerous one.

There's a study from this spring that I can't stop thinking about, because it quietly indicts the way most of us measure whether our AI product is working.

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