Hey Product Hunt family!

Just wanted to share a little "behind the scenes" pain from the OptiClear launch. We all know the Apple App Store review process can be a rollercoaster, and I definitely hit a loop.

I had built this sweet "Invite a Friend" feature. The logic was simple: generate a code, share it with a friend, and both of you earn free premium days. A classic, organic growth loop, right?

Well, Apple hit me with a rejection. Apparently, unlocking premium features outside of their standard In-App Purchase flow (even as a reward) is a big no-no.

Hey Product Hunt community

I work at the intersection of AI, SaaS, and remote tech.

I connect AI, Full Stack, and DevOps engineers with US-based teams, and I m increasingly focused on AI-driven growth tools , especially products that improve conversion, personalization, and execution.

I m particularly interested in:
AI agents in real workflows
Conversion optimization for SaaS
Remote engineering infrastructure
Execution-first AI products

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.

Because here's what we kept hearing: people would build a solid flow, it would convert, and then ask "can it just handle the whole conversation?" Not just send a message, but actually understand what someone wants, respond, collect info, route them, and follow up. So, we built exactly that.

A complete AI Agent for Instagram understands how you talk, mirrors your tone, knows your goals, taps into your knowledge base, collects information mid-conversation, takes actions, and escalates when a human needs to step in. Not a chatbot. It handles the full conversation end-to-end.
But what if you want it more controlled?

AI actions built into every automation and campaign

one thing we learned launching openowl: engaging on reddit, twitter, HN, product hunt, linkedin all at once is exhausting. especially as a solo founder.

so we built a system for it and just open-sourced the whole thing.

it's a claude code template with platform-specific guides and skills for each platform. you clone the repo, fill in your product details, and run /engage-reddit or /engage-twitter or

/engage-all and it finds relevant posts, drafts replies in the right tone for each platform, and you review before posting.

The old playbook was simple. Build a list. Write a sequence. Blast it out. Wait for replies. It worked for a while.

Now? Inboxes are graveyards. Reply rates are on the floor. Half the emails out there are clearly written by a bot that skimmed someone's LinkedIn headline and latest company update and called it research.

The problem isn't outbound. It's lazy outbound. Spray and pray is dead but people are still running that playbook wondering why nothing lands.

The shift is simple but painful. Old model was reach out, build trust, close. New model is build trust, show up, reach out when it's warm.

Here's the problem nobody talks about.

Your data doesn't match. GA4 says one thing. Search Console says another. Your CRM says something else. They're all tracking the same campaign, same time period, and they give you different numbers .

This isn't a bug. It's how the systems are built. GA4 measures sessions and modeled behavior. Google Ads measures ad interactions. Search Console provides aggregated impression data. Your CRM tracks identified leads . They were never designed to agree.

The result? You spend hours trying to "fix" the numbers instead of acting on them.
Imagine this : having an operating system for SEO & GEO, that actually reads your Google Analytics, your GSC, Bing webmaster, treat your data, explain it to you, and ACT!

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

1. I've always been on the personal brand side. More and more founders are building it now (sometimes even before the product is ready while it's still in development, before seed fundraising). The CEO builds their position so the product sells more easily at the official launch.

2. But I have experience with people who built the product, scaled it, and only then did we discover who was behind it.

Honestly, with the first approach, I'd be concerned that people invest more in me as a person than in the product. People would idealise the founder and overlook the product's flaws (which could hurt development and constructive feedback).

+ I noticed the most common mistake that many people who started building a personal brand first, connected their product to their personal accounts (emails, social media, etc.) and started having a problem selling these things, because they cannot "give someone keys" to their personal profiles.