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The Roundup

November 2nd, 2025

AI can’t make your movie

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Spielberg made 'A.I.', AI didn't make Spielberg

gm legends. It’s Sunday funday.

We’ll give you a peek at Udio and Universal’s upcoming AI music platform, show you a dead-simple way to generate LinkedIn posts, identify some skills to build into your founder repertoire, and share how AI can make the movie-making process easier. And as always: some of the most popular new products this week.

Grab a coffee, kick off your shoes, and let’s get into it. 

P.S. Launching soon? We’d love to hear about it → editorial@producthunt.co 🫶

Ripped from the Headlines

Udio Spins a New Record

Last year, Udio launched what CEO Andrew Sanchez called “a state of the art AI-powered music production tool.”

Universal Music Group, along with Sony and Warner, however, called it copyright infringement, accusing Udio and Suno of scraping the labels’ music to train AI.

But now Universal and Udio have hashed it out and partnered to start a new platform. According to Sanchez, the platform will let artists set their permissions and let users “remix and reimagine” songs.

This could be the start of a remix for the music generation space as it reckons with the demands of artists and their labels. But the space is still buzzing:

Suno (“Make any song you can imagine”), Mozart AI (“Cursor for music production”), and Beatoven.ai (“Your AI composer for crafting the perfect background music”) have all had top-5 launches since September.

FOUNDER STORIES

How to Use AI to Make Movies Better (Hint: It’s Not by Replacing Creatives)

By Nick Harty, cofounder of Storiara

I've been making short films for as long as I can remember. 

My first short was back in middle school, where my brother and I pretended we were in Star Wars, dueling with dowel rod lightsabers. By the time I met my co-founders, Spencer and Charlie, in college, my storytelling had (I hope) evolved well past my VFX-obsessed origin story.

We met on the set of a feel-good student short I directed last fall. But this wasn’t backyard filmmaking anymore. We quickly got stuck in a hellish landscape of spreadsheets. Nobody’s availability lined up, everyone was overwhelmed, and it took forever to finish the film.

The output was incredible, though. So we kept on making movies and started picking up jobs on bigger productions with more standardized workflows.

And we discovered we weren’t alone. The production management problem is everywhere. Most tools were way out of our price range, and the ones we could access weren’t much better than spreadsheets or a whiteboard. Most companies we talked to weren’t even using them.

Meanwhile, my on-set education was unfolding alongside the AI boom—which was pretty disheartening.

Most AI x Film projects were focused on replacing creativity. LLMs were reading and rejecting scripts at scale. Studios have mostly backed off that kind of thing because, well, they realized they still need people. Just look at Warner’s historic run this year with auteur-driven hits like Sinners and Weapons. That didn’t happen because AI gave great notes.

Other software would use AI to generate video, which, frankly, filmmakers don’t want to do unless they’re out of money and time and just need one drone shot of New Zealand, or something. Filmmakers want to make movies, not outsource the fun part to software.

All of this got my brain churning last summer about how we can use AI to automate the stuff that filmmakers actually don't want to do: How do you get from a greenlit script to scheduled shoot as quickly as possible?

Everyone was focused on cutting out creatives. No one was using AI to cut out the messy middle of production. And the tools that I tried felt like CS projects built by people who had never stepped on a set.

Then at the Cannes Film Festival, during a crowded panel, I leaned over to Charlie and whispered: “What if the studio was software?”

COMMUNITY REVIEWS

User Review: Dynal.AI

Our In-Depth Reviews feature is in effect. It’s designed to give users and founders a little more to work with than “5 stars, no notes” or “1 star, it arrived broken.”

Here, user Sukui Liu reviews Dynal.AI, a “LinkedIn post studio” that hit #1 on our charts Thursday:

What's great

The entire process from content conception to publication is too cumbersome. As someone who frequently needs to publish professional content, what I appreciate most is its ability to quickly convert my various existing materials (websites, PDFs, videos) into LinkedIn posts, which truly saves a lot of time.

What needs improvement

While the tone of voice can be adjusted, the level of personalization could be improved.

Lack of in-depth understanding of industry-specific terminology.

vs Alternatives

It really solves the pain points of LinkedIn creators from content conception to publishing, especially the multi-format material conversion function is very practical.

How quickly can a new user get value from onboarding?

If you have existing assets (website links, PDF files, etc.), you can start creating content right after verifying your email address. Onboarding is designed to be straightforward, without too many complicated setup steps.

How accurate are the summaries from long PDFs?

When the file is too long, or when it is an image-based PDF, inaccurate recognition may occur.

How is user data and content secured and stored?

I haven't paid much attention to it. It should be in compliance with GDPR, CCPA and other regulations.

Ratings

Ease of use: 5/5

Reliability: 5/5

Value for money: 4/5

Customization: 5/5

Let's all go to the forums

Level Up Your Skills

Koshima Satija asks: “What is the most underrated skill for startup founders in 2025?”

Koshima’s vote is for the ability to build experiments so founders can test the right variables, get the right feedback, and get rid of bad ideas quickly. Commenters are chiming in with a whole bunch of soft skills that could benefit founders — from “context switching” to “knowing when to ignore advice.” 

Here’s some advice: read the post.

Weekly

Leaderboard highlights

Cursor 2.0
Cursor 2.0 — Our first coding model and new interface for agentsCursor 2.0 just dropped with its first in-house model built specifically for coding. It’s faster, tuned for real projects, and ditches the middleman by running on their own infrastructure. They’ve also reworked memory, context handling, and editor integration so it actually keeps up when your codebase isn’t tiny.
v0 for iOS
v0 for iOS — Build anything with AIv0 for iOS brings Vercel’s AI coding tool to your phone. You can describe what you want to build, tweak the design, and ship ideas straight from your pocket. It’s the same engine as the desktop version, just a lot more portable.
Parallax by Gradient
Parallax by Gradient — Host LLMs across devices sharing GPU to make your AI go brrrParallax is an open-source framework that lets you run large language models across multiple devices, your own or shared with others. It distributes workloads so even smaller machines can handle big models together, no cloud required.
Alai
Alai — Create high quality presentations using AIAlai is an AI presentation tool that actually understands layout. You start typing and it builds clean, responsive slides that look good without you spending half your day nudging boxes into place. It’s built for storytelling, not formatting.
Gammacode
Gammacode — Web and Terminal agents that scan, fix, and ship secure codeGammacode brings web and terminal agents into your dev workflow that don’t just point out bugs, they fix them. These agents scan repos for vulnerabilities, auto-refactor, and push fixes via GitHub Actions. No indexing your code. Zero-knowledge architecture. Your machine, your rules.
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The Roundup

Every Sunday

Everything you missed this past week on Product Hunt: Top products, spicy community discourse, key trends on the site, and long-form pieces we’ve recently published.