Connect with the Product Hunt community

Yesterday, I came across a post saying that OpenAI projects a $14 billion loss in 2026. They ve gone through several funding rounds, offer monthly subscriptions, and are now planning to integrate ads into search results (which means another revenue stream).

Realistically, I don t think this loss will be covered in the short term, and profitability might only come over a longer horizon (if at all).

As builders, we love tracking daily metrics: MRR, GitHub commits, daily workouts, Inbox Zero. Standard habit trackers are incredibly optimized for this gamification.

But lately, I've realized my "mental RAM" gets completely eaten up by the irregular tasks. The stuff you only need to do every few weeks or months:

• Changing the AC filter

• Watering specific houseplants

• Following up with that one dormant enterprise lead

• Taking as-needed medication

• Taking a full day away from the screen

YC mentioning AI-native agencies really resonated with us.

We started Starnus as a self-serve product. But pretty quickly, founders started asking us to help them run it too.

That happened enough times that it became clear this was not random.

A lot of people do not just want software.

Following on from our successful launch we are looking for features that people would like and feedback to help us improve the product. Please let us know your thoughts

When we launched Starnus our competitors were charging $100+/month. So we thought let's undercut them. Start at $20. Make it a no brainer.

Signups were great. Payments? Almost zero.

Here's what actually changed our MRR:

1. Cheap pricing kills trust

We launched on Monday. We ended up at #6.

Not the top 3 I quietly hoped for. But I want to be honest about what the day actually gave me, because it wasn't what I expected.

I built BrandingStudio.ai mostly alone, from Porto/Portugal, over the past year. No PH network. No launch team. No one ready to vote when it went live (except my wife - thank you!). Just a product I believed in after over 20 years in branding around the world, and a lot of uncertainty about whether anyone else would see what I saw - that we need to democratize access to how a brand should actually be created, as we do inside the agencies for Fortune 500 companies, as that is where a brand becomes the biggest comodity for a company or product.

What I didn't expect: 500+ engaged visitors so far who actually read the product. Real questions about methodology. Pushback that made me think. Someone quoted a Paul Graham essay, "The Brand Age," that dropped the same week, arguing that as AI commoditizes execution, brand becomes the only battleground left. That one comment alone was worth the whole launch.

Road to 1,000,000 #Votap users Day 57 | Current: 1286

Hey Product Hunt!
We just shipped SuperIntern v0.12 our biggest update yet and wanted to share what's new with the PH community.

Quick refresher: SuperIntern is a botless meeting AI that captures live transcripts, generates structured notes, and automates follow-ups. No bot joins your call. No awkward "is it okay if I record?" moments. It works across Zoom, Google Meet, Teams, Webex, and in-person meetings.

Six key updates in v0.12:

v1.4.1 is out. Here's what shipped and what broke along the way.

The headline feature: Vois CLI and AI agent automation

This one is for the developers and automation folks. Vois now ships a CLI binary inside the app installer. AI agents (Claude Code, Claude Desktop, ChatGPT Desktop, Codex, Cursor, Gemini) can drive it directly.

We host skill files at vois.so/skills that teach agents the full command set: create projects, write scripts, assign voices, generate audio, export with mastering profiles. An agent reads the skill file and knows how to run your entire voice production pipeline from the terminal.

I knew there was a gap here when I started building Room Service, but I honestly didn t expect this much interest.

What surprised me is that it s not just a developer problem anymore.

With all the AI tools, game dev workflows, and this whole vibe coding shift, a lot more people are running into the same thing: their Mac fills up, but they don t really know why. That s what I m trying to solve.

Hey everyone!
We just shipped Smallest AI (Waves) integration into OpenCut-AI, and we're excited to share what this unlocks for creators.

What's new
OpenCut-AI now has three voice engines built in:
1. Local (Coqui XTTS) -- Runs entirely on your machine. 12 languages, voice cloning, zero API keys needed. Best for offline editing and privacy-first workflows.
2. Sarvam AI -- Purpose-built for Indian languages. 22 regional languages for transcription, 11 for text-to-speech, with 23+ natural speaker voices. If you're creating content in Hindi, Tamil, Telugu, Bengali, or any Indian language -- this is the best engine for you.
3. Smallest AI (NEW) -- Ultra-fast cloud TTS and STT. ~100ms latency, 80+ voices across 15 languages, and speech-to-text covering 39 languages with speaker diarization and emotion detection. This is our most versatile engine yet.
What you can do with Smallest AI
- Generate voiceovers in English, Hindi, Spanish, Tamil, and 11 more languages with natural-sounding voices
- Transcribe audio/video in 39 languages with automatic subtitle generation
- Control speech speed from 0.5x to 2.0x
- Pick from 80+ voices -- each language has multiple male and female options
- Process long content -- auto-chunking handles videos of any length
How it works
1. Grab a free API key from app.smallest.ai
2. Paste it in Settings > API Keys > Smallest AI
3. Select "Smallest AI" in the Voiceover or Captions panel
4. Generate
That's it. No server setup, no model downloads, no GPU required.
We're open to adding more models
This is the part we're most excited about. OpenCut-AI is built with a pluggable engine architecture. Adding a new voice or transcription provider is straightforward, and we want the community to drive what comes next.
Models we're considering:
- ElevenLabs (premium voice synthesis)
- Deepgram (real-time STT)
- Fish Speech (open-source voice cloning)
- Kokoro TTS (lightweight and fast)
- StyleTTS 2 (human-level quality)
Have a model you'd love to see? Drop it in the comments with:
- What it does
- Why it matters for video editing
- A link to their docs
We'll prioritize based on what the community wants most.
Links
- GitHub: github.com/Ekaanth/OpenCut-AI
- Smallest AI Docs: waves-docs.smallest.ai
- Get a Smallest AI key: app.smallest.ai
We'd love to hear what models and features you want next. Let us know!

With tools like Claude Code, we re entering a world where products can be built end-to-end inside AI workflows.

But there s a problem I ve been thinking about: As building gets faster, user research risks getting left behind.

At Velozity, we ve been working on solving this by launching an MCP server that brings user research directly into these environments.

Now inside your coding workflow, you can:

Two days ago, I shared the 10k mistake product owners make with AI search. The response was overwhelming.

Since then, we've more than doubled our dataset at Rankfender. And many found they were invisible.

But here's what scared me more:

Of those who WERE visible, 43% had incorrect information in AI answers.

What's PinchBench? What's the best model for OpenClaw? Which model should I use for coding with OpenClaw? How often is this benchmark updated?

Everything you want to know about PinchBench by @KiloClaw (launched this week).

Every error-fix pair on DebugBase now gets a 0-100

reliability score combining three signals:

1. Community trust (Wilson interval on votes +

acceptance)

While I pride myself in Clarity being the first of it's kind, I'm also extremely excited that we are currently building the worlds first data set of verified caffeine products and spotlighting brands for actually knowing the caffeine content of their drinks.

There are some other 'caffeine trackers' in the wild, but they all pull their data from the same available data set which is unfortunately not accurate. Clarity will only feature brands and products that know their caffeine content, this allows you to make truly strategic decisions about your dosing and timing.

We re launching Glam AI today: an AI platform for creating trendy image and video content.

To celebrate the launch, our team created a fun video with the Product Hunt team (@rajiv_ayyangar and @rrhoover). You can see it on X.

When you re-record a demo, it's rarely because the capture is broken. It's usually something small, maybe a line you didn't like, a weird pause, or the webcam overlay blocking part of your demo.

And at that point, you're either re-recording the whole thing or dragging the file into a separate editor just to fix one moment.

@MindPal builds the AI agents and workflows trained on your knowledge.

@Lovable builds the interface from one generated prompt.

We just shipped Krisp MCP as a connector in Claude, and it's changing how we think about this. Instead of treating meetings as isolated events, your AI assistant can now search transcripts, pull action items, and reference meeting context on the fly.

The bigger question I keep coming back to: what's your system for turning meeting context into actual work? Would love to hear what's working (or not) for others here.

Apple is reportedly pushing back on AI vibe coding apps like @Replit and @Vibecode App, tools that let users create apps just by typing prompts.

The issue isn t a new rule. Apple is enforcing an old one:

• Apps must be self-contained

• They can t download or run new code that changes functionality after review

I've been thinking a lot about what separates AI products that people actually stick with from those they try once and forget. The pattern I keep noticing is that the ones that win aren't necessarily the most powerful they're the ones that feel like they understand your context.

Think about it: most AI tools today are essentially fancy command lines. You give them an instruction, they spit out a result. But the products gaining real traction are the ones that remember what you care about, adapt to how you work, and meet you where you are emotionally not just functionally.

What's new in v0.2.0

Granular auth system API keys with 11 scoped permissions (`system:read`, `media:control`, `power:control`, etc.), hashed with Argon2 and stored in your OS keyring. Give each integration only the access it needs.

Redesigned UI New onboarding flow, settings panel, and API key management.

Before AI, I always thought I would NEVER learn how to code. I genuinely admired technical people, watching them code felt like watching magic. I remember wishing that maybe one day, I could do something like that too.

I ve never had any formal education in programming, and I had zero experience building apps. But with AI, I was able to start from just an idea and slowly figure things out on my own experimenting, setting things up, and eventually creating my first interface that I could actually interact with.

It honestly felt magical. It made me realize how fast the world is changing. Coding is no longer something completely out of reach. AI is making it possible for people like me to turn ideas in our heads into real, tangible drafts for the first time.

Are you in favour of banning social media for users under 16?

Recently, there has been a surge of laws and restrictions targeting social media platforms for young users.