Road to 1,000,000 #Votap users Day 66 | Current: 1348

Hey PH community

I just launched SendReady a free Android app that brings AI text transformation directly into your text selection menu.

We did not start in interiors. We started in code. No design degrees. No real estate background.

Just a shared feeling that 2D floor plans were failing everyone.

Clients struggle to read 2D floor plans and Blueprints. Designers waste hours explaining layout decisions. Builders guess from static drawings.

Hey everyone

So I'm a pastor and I also work in logistics. I m also a writer who s dreamed of making it big one day.

About a year ago I kept watching writers I know give up on their stories. And as someone who s been writing as well, I know that feeling. Not because they ran out of ideas. Because the chaos of managing everything killed the joy. Five apps, zero flow.

Hey Product Hunt community,
we have just launched a pilot version of ScentRev - an AI-driven fragrance engine that matches you to the perfect perfume based on your personality, mood, and lifestyle.
Most peopele don't struggle to buy a perfume, they struggle to choose one. the same happed to us after spending hours at fragrance counters only to leave with something that didn't feel like 'me', and finding the perfect layering perfumes would consume even more time and not sure whether they compliment each other or not. we decided to build a tool that sloves the discovery problem.
A few things we focused on to make scent discovery at ScentRev actually work:

• Personality Mapping: we. trnaslated abdtract traits and mood signals into concrete fragrance families (Ouds, Florals, citrus,etc.)

• Contextual Matching: Recomendations aren't just based on what you like, but where yyou're going whether it's office room or an outdoor.

• Personality Quiz: just a short personality quiz that delivers a recommendation that feels personal.

• Data-Driven Discovery: we mapped lifestyle cues and fragrance family data ti bridge the gap between human character and sensory scent.

we are actively buliding and would love honest feedback on:

1. How do you currently discover new fragrance? samples, influencers, or blind-buying?

2. Do you think personality-based recommendations can work for something as subjective as smell?

3. For the UX folks: How do you handle "subjective" data in a way that feels trustworthy to the users?

I've heard this story so many times I could finish it for you.

The founder signs a contract. Gets a kickoff call. Feels good about it. Then slowly, the updates get vague, the timelines shift, the invoices grow. Six months in, they're still "almost done."

And the worst part? The agency isn't even doing anything wrong. That's just how hourly billing works. Slow delivery is literally more profitable for them.

I kept thinking, there has to be a better way to structure this.

Hi all.

I m a co-founder of VirtualSpaces.

Recently I developed voice_convertor application which can work fully offline.
The client asked me to build it was musician (my thought) from Los Angels. He was a fan of Michael, a well-known singer in his region and had been using Voqul to convert othe similar singer's voice into that Michael's style. But, he faced several limitations, which the tool was cloud based, had unstable connectivity, and the output quality was inconsistent.

He asked me to build a fully offline solution with higher-quality results and real-time capabilities.

To train the model, he provided around 20 audio tracks (each ~3 minutes long). Based on this dataset, I developed a voice conversion system that runs entirely offline. The application includes the following features (actually this is a simple app).

1. File-to-file voice conversion

2. Real-time voice streaming

3. Pitch control for fine-tuning output

4. Optimized inference for low-latency performance