Here's what vibe coding actually looked like in practice. What AI handled well ~70% of boilerplate on first pass navigation, state management, notification scheduling. I described the architecture in plain language, got working code back. Content generation, App Store copy drafts, edge case surfacing. That part felt like flow. Where the vibe broke: judgment calls AI suggested a standard onboarding. Generic, functional, wrong. Good UX requires knowing why someone opens an affirmation app at 7am what emotional state they're in, what friction kills the habit before it forms. Scrapped it. Built from scratch. Same with notifications.
Hey Product Hunt community! I'm Alek, a full-stack developer from the UK.
I built StreamVox because I kept missing half of my Zoom calls with international teammates - and I got tired of it. StreamVox is a Windows app that translates any audio in real time using AI. What it does:
- Live subtitles + AI translation for any audio on your PC
- Works with Zoom, Discord, Teams, YouTube, games, mobile calls
- Per-App Audio Capture (translate only the app you choose)
- Overlay window - always on top, never in the way
- 47 input + 49 target languages
- Privacy-first - nothing stored or recorded
- Free plan available on Microsoft Store I just shipped v1.3.0 with Per-App Audio - a big accuracy improvement for calls and gaming. Would love honest feedback:
- Does this solve a real problem for you?
- What would you add or change?
- Would you use it for gaming / streaming / work calls? Try it free: streamvox.pro
Microsoft Store: search "StreamVox" Thanks for any feedback!
I m Enes, a solo developer, and I m currently building CrunchSave. I m tackling a problem that every SaaS founder hates but often ignores: Passive Churn (Failed Payments).
Most tools out there just send the same boring "Update your card" emails. I m building something different. CrunchSave uses AI Policies to personalize the recovery flow based on customer LTV and the specific reason the payment failed.
Solo queuing is broken. You're ranked, focused, and ready to climb but you're getting matched with players who don't communicate, don't coordinate, and don't care about winning. Existing Discord servers and LFG subreddits are noisy, unfiltered, and slow. There's no intelligent layer connecting competitive players based on what actually matters: rank, role, playstyle, and availability.
Introducing Queue.gg
Queue.gg is a matchmaking platform built specifically for competitive gamers who are serious about ranked play. Instead of scrolling through hundreds of unqualified LFG posts, Queue.gg surfaces compatible teammates based on your skill tier, preferred roles, and game schedule so you spend less time searching and more time winning.
Yesterday I shared data from 50,000+ AI answers. Today I'm giving you the exact audit process we use at Rankfender the same one we've run for 500+ brands.
Here's the hard truth: 78% of brands are completely invisible in AI answers. They spend thousands on SEO but never check if ChatGPT, Google SGE, or Perplexity actually mention them.
Don't be one of them.
This 30-minute audit will show you exactly where you stand and exactly what to do next.