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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.

As founders, calls are part of our daily life. Brainstorming, quick updates, random discussions with the team and there s always value in those moments. But most of the time, all that value just disappears after the call.
By connecting Prodshort to your calendar, it automatically joins your calls and turns them into ready-to-post content.

If you're a founder and want to create content, I'm doing short discussion calls. Let's connect !!

Let me start from the creator s perspective:
I personally don t have a product (apart from hiring people for creative work or offering personal consultations).

But as a creator, I constantly share content, insights, and information, value that helps me build trust (for free). Based on that perceived expertise, people eventually decide to work with me (a paid service).

I'll go first.

I still reply to every comment manually. Reddit, LinkedIn, Product Hunt, forums, Twitter, Discord. Every single one.

AI could do this. There are tools that generate replies, post on schedule, analyze sentiment, even mimic your brand voice. But I don't use them. Here's why.

A 2024 study on community engagement across 500 brands found that personalized responses drive 3.2x higher retention and 4.7x more repeat interactions than automated replies. People can tell when a response is copy-pasted. They can feel when no one actually read their comment. The average user only needs 2-3 automated interactions before they disengage entirely.

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.

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

At some point every dev ends up here

you run a project
something fails
you try again

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.

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

Hey everyone! We've got a fresh update for you and this one's a big deal for our Windows users.

Savvyshot now has its own native capture core on Windows. No more relying on the system's Snipping Tool under the hood. Region, window, and full screen capture are all handled natively now, and it works on both Windows 10 and 11.

We thought we were ready.

Bigger deals. Fewer customers. Better margins. That was the dream.

So we built enterprise features. SSO. Advanced permissions. Audit logs. A whole new pricing tier starting at $2,000/month.

We spent 6 months. Three engineers. One dedicated product manager. Endless meetings about "enterprise readiness."

TwelveLabs just introduced Pegasus 1.5, their most significant leap in generative video AI, transforming video into a queryable, structured data asset.

They're launching today on Product Hunt.

We re trying something new on Thursday: Alpha Day.

The idea is simple. If this is the first time you re launching your product anywhere, you can tag it alpha and get a boost to your points (and land on a special leaderboard).

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.

Hey Product Hunt!

We just went live with RankAI and we're on a mission to end the era of overpriced, underdelivering SEO agencies.

For the past few years, we've watched businesses burn thousands of dollars every month on agencies promising "proprietary playbooks" only to get recycled content, vanity metrics, and zero real growth. After working with 200+ businesses and going through YC, we kept seeing the same pattern: search isn't won by a formula. It's won by iteration.

So we built RankAI to do exactly that fully autonomously.

1. Y Combinator startup will pay humans to help AI agents when they get stuck. (This is what I read today.)

2. At the same time, I see how Indian employees in production have cameras on their heads, and the AI learns from their movements (practically filming their firing process).

3. In addition, there was already a site where AI agents hired human actions for stablecoins.

• First, AI worked for us.

• Now we are starting to work for AI.

• And eventually, will AI work (without us)?

I don t want to portray a Terminator scenario where people will have to unite against AI, but what future awaits us in terms of cooperation/non-cooperation with AI?

One of the best parts of Product Hunt isn t just discovering products, it s discovering people.

That s how I met Dan (@dbul) and the Ting team (@Meet-Ting).

We re both building in the meeting space, and within minutes we were trading the same frustrations.

Over time, this led us to a question:
What would happen if we combined the best of Simplora with the best of Ting?

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.

Every day, after launching, makers are contacted on LinkedIn and X by people offering to sell votes. As the Product Hunt team, we are very much aware of this and really hate it. We have systems in place to neutralize this type of gaming. Every vote counts for a different number of points on Product Hunt. A couple examples:

• An account with a recently created gmail address and no history of quality contributions on Product Hunt: this vote will count for 0 points. Yes, this might be a well intentioned user, but we take a conservative approach to protect the community. If the account has a company email or applies for verification on Product Hunt, that's a different story.

• An account with a company email address linked to a legitimate LinkedIn account with a history of meaningful contributions on Product Hunt: this vote carries significant weight.

A couple questions for the community:

• Are there specific accounts on Product Hunt that you suspect participate in vote selling? You can reply here or email report@producthunt.co

• What would you want to see us do differently here?

Vercel Day is live on Product Hunt today.

We teamed up with @Vercel for a special launch day, which means there s a dedicated leaderboard full of teams shipping on Vercel, all in one place. More launches, more competition, more reasons to spend too long refreshing the page.

One of the best things about VCs and accelerators is that they bring founders together - which often leads to collaboration, cross-sell, and unexpected product ideas.

But Product Hunt can do that too.

@Wispr Flow launched on Product Hunt back in 2024. Since then it has become one of those tools that quietly sticks. It's the AI dictation tool a bunch of us here use day to day (yes, there are still a few people committed to typing everything out). It works anywhere on your Mac or PC, so you can just talk and have clean text land wherever your cursor is.

For the next three days, it is showing up on the leaderboard in a different way. From April 14 to 16, you can upvote and comment on Product Hunt using Wispr Flow directly. If you use dictation, those upvotes and comments will carry a bit more weight. Try it out by clicking the Wispr Flow unit on the Leaderboard and telling it to upvote a product name

Today, this graphic caught my attention:

It featured individuals who managed to build significant profit while running their businesses solo, without employees. Until now, I ve seen these more as exceptions rather than the norm.

We built a payment gateway that lets AI agents pay for cloud deployment using stablecoins (USDC/USDT), with no account registration, no API key, and no human in the loop at the point of transaction. The on-chain payment is the access control.

The gateway is built on MPP (Machine Payment Protocol) and uses HTTP 402, the "Payment Required" status code that has been in the HTTP spec since 1997 but almost never implemented in practice.
Full documentation: https://nodeops.network/createos...