Connect with the Product Hunt community

We've teamed up with @Y Combinator or to give builders one more chance.

Launch on Product Hunt this Friday, tag your post "YC application" @gustaf will personally review the top launches. One or more will walk away with a YC interview, even though the official deadline has passed.

Most product teams run surveys. We did too. We'd ask things like "What features would you like to see?" or "How would you rate your experience?" And we'd get perfectly reasonable, perfectly useless answers.

The turning point for Murror came when we stopped designing around what people said they wanted and started paying attention to what they were avoiding.

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).

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.

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

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

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."

I will go first.

The meeting where everyone nods and no one disagrees.

Not because they agree. Because they have checked out. They do not think their opinion matters. They have stopped investing.

That silence is louder than any argument.

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).

I like working (a lot of working), but sometimes I struggle with my time.
Understand that I am not able to manage/fit everything that I wanted to do in my schedule.

So I had to "re-organise" some activities and was able to learn something or make myself productive.

Hey PH

Deep voice AI technology is the DNA of everything we build at Krisp. Today we're launching VIVA 2.0 SDK, bringing that expertise to voice AI agent developers.

It makes AI agents sound more human. They know when to talk and when to stop. A skill some humans could use too

The problem is real: voice agents work great in demos, then fall apart in production. Audio is messy, and bots can't read conversations the way humans do. They talk over you. They stop every time you say "uh-huh." They can't tell a real interruption from someone just agreeing.

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

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.

The internet today is filled with AI made graphics, be it Linkedin, be it Twitter or Instagram, whether statics, or motion. Of course AI has gotten much better at making this stuff, but tell me honestly, do you like seeing the AI content all around?
personally, I used to like it earlier, started with that Ghibli styled images trend, but now almost every 3rd or 4th post is AI generated, so it all somehow feels the same, rather, I like more of human made content, even with a few flaws! The flaws make them look better sonetimes hehe : )
What are your thoughts?

Hey PH

Quick context for those who haven't met @Foyer yet: we built it because we ran into our own problem at @ReachLLM. We were getting AI traffic, but visitors were landing, scrolling, and leaving without converting. The website was mute.

So we built @Foyer. One line of code. Your site becomes a sales executive that speaks to visitors, navigates them through your product, and closes the deal. Not a chatbot. A closer.

According to the 2025 @Stack Overflow Developer Survey (49,000+ participants), @VS Code still is the most-used dev environment, maintaining the top spot thanks to its marketplace.

@Kilo Code, @Github Copilot, @Ultracite... What are the extensions that significantly improve your coding workflow?

As a developer launching IR Manage, a premium React and Firebase boilerplate for investor relations, choosing the right payment infrastructure was crucial.

Lemon Squeezy has been a game-changer for this launch. The platform's ability to handle global tax compliance (MoR) and digital file delivery allowed me to focus entirely on building the glassmorphism UI and complex backend logic.

For other developers building production-ready assets, how has your experience been with integrating Lemon Squeezy into your React or Next.js workflows? I would love to hear any tips for optimizing checkout conversion!

We analyzed the codebases of 100 startups that hit a scalability wall (*)
The goal was not to find the most exotic bug. The goal was to find the most common, expensive, and preventable patterns of failure.

The results were almost identical across 85% of them. Here is what the data says.

The Timeline to Failure

Months 1 6: Everything worked. Fast releases. Happy customers. No time for architecture.

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?

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.

Everyone keeps hyping AI meeting notes. I was myself using @Fathom.

But after trying @Shadow, most meeting assistants suddenly feel outdated and stuck in 2023...

Shadow doesn t just summarize calls, it executes the work while the meeting is still underway!

Would you create spin-off accounts for your brand with influencer personas?
E.g. sophie.diets for promoting Cal AI?

Hey everyone!
We just shipped the biggest update to OpenCut AI since launch, turning it from an AI-powered text editor into a full professional video editor. All open source, all self-hosted.
Here's what's new:
AI Features
- AI Music Generation Pick a genre (15 options), mood (12 options), and tempo. Generate royalty-free background music and drop it on the timeline.
- AI Thumbnail Generator Describe what you want or let AI generate from your transcript. 5 styles, 4 platform sizes, up to 4 variations at once.
- AI Script-to-Video Write a script, AI generates voiceover, creates visuals, and builds the timeline automatically.
- AI Auto-Duck Automatically lowers background music when speech is detected. Configurable duck amount and fade curves.
- AI Auto-Color Correction 8 one-click profiles: Vibrant Pop, Film Look, Warm Sunset, Cool Blue, and more. Batch apply to all clips.
- AI Video-to-Shorts One click to auto-select the best clip, trim to target duration, set 9:16/1:1/4:5 canvas, add subtitles.
-Speaker-Labeled Captions Color-coded speaker labels, rename speakers, apply captions with speaker awareness.
Professional Editor
- 20 transitions Iris Wipe, Clock Wipe, Morph, Glitch, Film Burn, Page Peel, Cube Spin, and more. All WebGL shaders.
- 12 effects + 22 filter presets Sharpen, Chromatic Aberration, Film Grain, Motion Blur, Duotone. Presets: Sunset Glow, Cyberpunk, Film Noir, Retro VHS.
- Crop & Mask Rectangle, ellipse, polygon masks with feather and inversion.
- Multicam Editing Sync angles, switch views with one click.
- Marker System Colored markers with notes, jump between markers.
- J/K/L Shuttle Playback Variable speed reverse and forward (1x-8x).
- Ripple Trim Delete clips and close gaps automatically.
- Compound Clips Nest multiple clips into one, un-nest anytime.
Audio
- Audio Effects Chain Per-track EQ, Compressor, Noise Gate, Reverb, De-esser, Limiter with Web Audio API processing.
- Direct Recording Record audio from your mic directly to the timeline with live level metering.
- LUFS Normalization Measure loudness and normalize to platform targets (YouTube, Spotify, Apple Podcasts, broadcast standards).
- Beat Detection Detect BPM, visualize beats, snap edits to the beat grid.
Workflow
- Batch Export Queue up to 8 platform presets (YouTube 1080p/4K, TikTok 9:16, Instagram, Twitter, Podcast Audio).
- Keyboard Shortcut Editor Full management UI with search, rebind, conflict detection.
- Undo History Panel Visual command history, click to jump to any point.
- Color-Coded Tracks 8 track colors + track locking.
- Filmstrip Thumbnails Cached frame thumbnails on timeline clips.
- Template Gallery 8 project templates (YouTube Intro, TikTok Vlog, Podcast Highlight, etc.).
- Share via Link Generate share links with expiration and password protection.
Why this matters
Every other AI video editor (Descript, CapCut, Runway) sends your footage to the cloud. OpenCut AI runs entirely on your machine. No subscriptions, no data leaving your server, no per-seat pricing.
Self-host on a $20/mo server or run it locally on your laptop or desktop. MIT licensed.
What feature would you want us to build next?

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.

Since the launch of Bitgrain, on 1st May, this entire week I have pushed so many updates all over that it already feels like it's the time for another launch already

Building in public is important today. It helps you build a community, get feedback, and create traction around your product. But creating content to share every day shorts, posts on X, LinkedIn, Instagram can quickly become boring and very time consuming.
By recording your meetings with Prodshort, you get content ready to share: Shorts, X posts, LinkedIn posts... You keep things authentic, because the AI documents what you actually do and doesn t create fake content from scratch. Your real progress, your real discussions, your real decisions become things you can share.

It makes build in public much easier. You can share updates about your project directly from your calls: progress, ideas, feedback, small wins... Stay consistent with your build in public without adding extra work to your day !!