For us, it started from something frustrating: creating content felt very annoying and time-consuming. We tried the classic way: scripting, memorizing, filming, editing. But none of it felt authentic. And honestly, it was eating time we needed to focus on other things.

At the same time, we kept reading the same advice everywhere:
"founders should build in public and create content consistently". Easy to say but harder to do in reality. So instead of forcing ourselves to create content from scratch, we tried something simple: recording our own calls and using those moments as content.

During today s standup meeting, an idea came up about improving our presence on Reddit (for LLM search visibility and similar reasons).

One of the suggestions was to look for high-karma accounts and possibly buy them to appear more credible when posting and mentioning the product within the posts/comments. It s a tactic, sure, but to me it already feels like it crosses an ethical line. I sometimes worry they can seriously damage a company s reputation.

AI is incredibly good, I d even say almost perfect.

And for many people, that uniformity of perfect templates is starting to feel annoying.

last week, I shared an update on everything Inr has shipped over the last 20 months in automation, CRM, and integrations.

today I am doing a final update on the bigger shift coming this Saturday 25th: Inr is now an AI-first platform, and here's what that actually means.

Hey Product Hunt community

It s been a week since we launched Ovren - and I just want to say a genuine thank you.

We built Ovren because every team has backlog work that never makes it into a sprint.
Not more ideas. Not more AI suggestions.
Real engineering work that needs to get shipped.

So we launched Ovren as an AI engineering execution product for real backlog tasks:
AI frontend and backend engineers that work inside your real codebase, execute scoped work, and return reviewable code updates.

The problem at MindPal was pretty simple: we have hundreds of AI templates to share. We know videos of these templates work - some have gotten us tens of thousands of views. But actually making them was a total nightmare.
We tried everything. At one point, we even hired a freelancer, but the feedback loop was exhausting. It actually took longer to give feedback and wait for revisions than it did to just make the video ourselves. It was slow, expensive, and impossible to scale.
When we did it ourselves, it was a massive grind:
Record the screen of the behind-the-scene agent builder
Record a demo of the agent working
Write a script that didn't sound like a robot
Record a voiceover or an avatar
Spend hours editing everything together
If my co-founder or I were tired or busy, the videos just didn't happen. I assumed this was just the "manual tax" you had to pay for quality.
Last weekend, I got fed up and asked Claude if I could just automate the whole damn thing.
Turns out, I can.
So I spent the weekend cooking something - an internal AI SOP to turn any workflow URL (yes, from just a single URL) into a publish-ready use case video that passes all quality standards in ONE GO.
Here is the new setup:
Playwright: Records the screen and even moves the mouse like a human
@Claude by Anthropic: Writes the narrative based on our actual product info
@HeyGen: Creates the avatar and voiceover
@Remotion: Programs the entire edit - syncing everything into a final file
@Zernio + @Railway: Automatically publishes the video and saves the assets.
Now, I just give the system a URL and a finished video comes out. I don't even have to click "upload."
I just wrote a post sharing the full behind-the-scenes build, the architecture, and the logic behind of this AI video agent. Check it out here if you think this could be helpful for your company: https://mindpal.space/article/ai...

P/s: This is what I wake up to every day now

Most software wants you to come back every day. The business model depends on it. More sessions, more engagement, more opportunities to monetize.

But what happens when your product's purpose is to help someone understand themselves better? At Murror, we've been wrestling with a paradox: if we do our job well, users should eventually need us less not more.