Connect with the Product Hunt community

Not to sell aggressively.
To understand where the current stack still feels fragmented.
We re building Inquir Compute for teams that need a better way to run triggered, container-based, production-ready workloads without stitching together too many separate tools.
If that sounds close to your world, I d love to compare notes on what s working, what s painful, and what still feels missing in the market.
Comment or message me with your stack I m especially interested in how you handle execution today.

Hey everyone, quick one.

The iOS app is officially in open beta. You can grab it from TestFlight right now.

The biggest design question was how to make "hold a key, speak, release" work on a phone where there's no physical hotkey. The answer: a custom keyboard. You add Dictura as a keyboard on your iPhone, and from any app- Messages, Slack, WhatsApp, email, whatever- you tap the mic, speak, and the text goes straight into the text field. No switching apps, no copy-paste. Same flow as desktop, just adapted for mobile.

Translation works the same way. You pick your spoken language and up to 5 output languages, and tabs appear right on the keyboard. Speak in your language, tap the English tab, get clean English output. Switch tabs, same recording, different language. It just works.

Hey community!
WM Studio is our AI platform for generating stunning images and videos in just a few clicks perfect for creators, marketers, and startups like yours.

Quick question: Have you upvoted us on Product Hunt?
And most importantly: Have you tried it? What do you think of the generative AI features, speed, or results?

Drop your experiences, feedback, or ideas below it helps us improve and grow!
#WMStudio #ProductHunt #AIVideo #GenAI #Startup

I ve been testing this with an AI agent we use for outbound workflows.

The agent s job is simple: take a lead, generate a personalized outreach email, and send it.

Before:
The agent only had access to the lead s basic details (name, company, role) and a prompt to write the email.
Output was consistent, clean, and predictable(though the personalisation aspect was limited) .

What we changed:
We gave it more access:

I run OpenOwl, an MCP server that lets Claude, Codex, and other AI assistants control your desktop (screenshots, clicking, typing, all that). We've been growing and I want to bring on affiliates before opening the program publicly.

The short version: you get 30% of every payment, every month, for as long as your referrals stay subscribed. Not a one-time payout. Most SaaS affiliate programs I looked at offer 25-30%, so I wanted to come in higher since we're early and I'd rather give more to people who get in now.

We work on:

• collaboration

• notifications

• polishing

We became #9 on Producthunt huge thanks to everyone who supported us.

Now we want to solve your research problems. If you can answer these questions, the product will help the right researchers who will advance science.

Building something useful is hard. Explaining it clearly can be just as hard.

I ve noticed a lot of products seem solid, but the value isn t immediately obvious from the first sentence, screenshot, or landing page.

We reduced noise. We improved clarity. We even changed accents.

But sometimes the biggest meeting problem isn't background noise. It's Todd.
odd from Finance. Todd who turns a 30-second update into a 12-minute spoken-word essay about spreadsheets. Todd who says "just to piggyback off that" and then doesn't piggyback he builds an entire second pig.

So we built AI Deboringifier

A Voice AI feature that detects boring speech patterns and automatically makes them less boring.
https://x.com/krispHQ/status/203...

Hey everyone

I woke up this morning to this email :

For the first year of building Murror, DAU was the number we checked every morning. It was the first thing on our dashboard, the first metric in every team meeting, and the number we used to judge whether a feature was working.

Then one day we noticed something strange: our DAU was climbing, but our NPS was dropping. People were opening the app more often, but they were less happy with it. Some of our most engaged users were showing signs of what we started calling "compulsive checking" opening Murror out of habit rather than intention.

Road to 1,000,000 #Votap users Day 61 | Current: 1295

I remember many people getting demotivated after not being featured and leaving the platform.

In my opinion, that's not the best idea.

Hey everyone,

I made this extension for myself because long chats in ChatGPT and Gemini kept getting slow and annoying to work with.

At first I just wanted to make long AI chats easier to handle, but then I added export too, because I often need to move information from one chat to another or save useful chats somewhere else.

Now it can:

I m building Blood Sugar Journal a simple diabetes tracker with AI insights.

Trying to understand what actually annoys people in daily tracking.

A few years ago, getting a VC check was the ultimate shortcut. The fastest way to scale. The signal that you'd "made it." But with AI is a little bit different.

Global VC funding declined 30% in Q1 2024. One of the lowest quarters since 2018. And bootstrapped startups are quietly catching up. Recent data shows bootstrapped businesses are growing as fast as VC-backed startups, while spending only about one-quarter as much on customer acquisition.

Hey everyone - wanted to share directly with our community first.

SigmaMind MCP Server goes live on Product Hunt at 12:01 AM EST Monday April 13 (12:31 PM IST).

It lets developers build and deploy voice AI agents directly from Cursor, Claude Code, VS Code, etc. - one natural language prompt, every setting configurable.

If you follow this page you'll get notified automatically when we go live. Would genuinely love your feedback on launch day: https://www.producthunt.com/prod...

Three months. Two developers. One feature nobody used.

I knew it was bad when I checked the analytics and saw that the only person who used it more than once was me. And even I stopped after the second week.

Here's how I knew it was a waste of time. Not in hindsight. In the moment. I just ignored the signs.

The first sign: I couldn't explain it in one sentence.

We've reached version 1.0 Thank you for your continued support. This is just the beginning; DASCA will keep evolving with regular updates, new features, and improvements driven by your feedback.

New Features

• Undo/Redo: Full undo and redo support is now available across the editor.

• Pixelate Effect: A new Pixelate effect added to the effect library.

• Auto Update: Now Dasca check version and update automatically.

Hey PH community, looking for feedback.

Hello Inbox is an email deliverability platform helping businesses reach the inbox (think GlockApps).

I've been building my app for 8 months now, and i ended up having 5 repositories

• nextjs app

• databases

• customer facing API

• node-sdk that wraps the api

• react-sdk, for both reusing shared component and customer facing components

So i thought, it's gonna be great if i create a mono repo with submodules. But it was terrible. I realized that turborepo does not like external packages, and as i tried to reuse my own customer facing libs, the DX became terrible. It was very time consuming to ship a feature. Even when i wanted to use Codex or Cursor 3, it was not able to show git diff properly, also i was not able to use Cursor's cloud agents properly to ship complex features.

I'm Joe, the founder of Clarity: Caffeine and Focus, and I'm genuinely excited to be back.

We finished 3rd on Product Hunt last time, and since then I've been heads-down rebuilding the core experience based on what users actually needed.

What Clarity does:

Most people caffeinate by habit. Same time every day, regardless of how they slept, what they're doing, or when they need to perform. Clarity gives you a personalised caffeine strategy, exact timing for focus windows, workouts, and social energy, with a hard cutoff that protects your sleep.

I've been noticing something lately. We went from using AI as a tool to letting AI become the default for almost everything: writing, deciding, planning, even reflecting.

Need to write an email? AI. Need to make a decision? Ask AI. Need to understand how you feel about something? Believe it or not, AI.

The problem isn't the technology. The problem is that we're quietly outsourcing the one thing that makes us valuable: our ability to think for ourselves.

Hey everybody,

First of all, thank you for all the support and feedback I ve received over the past week - it s been incredibly motivating.

Let s start with some numbers:

• 107 registered users

• 85 families created

• 290+ guides created

OpenCut-AI just shipped real GPU support for TurboQuant KV cache compression.
OpenCut-AI is an open-source, local-first AI video editor. Everything runs on your machine transcription, voice cloning, image generation, LLM commands. No cloud, no API keys.
The catch was always memory. Running a 7B LLM + Whisper + TTS + Stable Diffusion locally means fighting for every gigabyte of RAM. TurboQuant solves this by compressing the KV cache (the biggest memory hog during inference) by up to 7.3 .
What's new in this release:
User-selectable Compute Mode in Settings AI Optimization. Pick Auto, CPU, or GPU (CUDA).
Real integration with the turboquant-gpu library. The GPU backend runs cuTile fused kernels for the full 2-bit / 3-bit KV compression path. The CPU backend uses a PyTorch fallback with physical-core thread pinning and MKLDNN acceleration.
Live-measured compression ratios in the UI. No more static lookup tables you see the actual compression your backend produced on the last request.
Graceful fallback everywhere. Missing CUDA? Falls back to CPU. Missing cuTile kernels? Falls back to PyTorch. The service always comes up.
Huge thanks to Anirudh Bharadwaj Vangara for the turboquant-gpu library that made the real GPU path possible.
OpenCut-AI: https://github.com/Ekaanth/OpenC...
turboquant-gpu: https://github.com/DevTechJr/tur...