Built this to understand an idea before committing time to it.

What it does: Drop a link of your business or write out your idea and get a comprehensive analysis with:

• Idea score

• Failure thesis

• Market demand

• Competition

• Distribution feasibility

• Monetization potential

• Audience & niche angles

• Risk flags & next steps

15+ data points in under a minute.

I posted GenieChef here about three months ago. This time, I'm not looking for general feedback on the app as I already received positive messages from users and even posted them on my landing page. I want to focus on one specific feature I recently made public: Balanced Plate.

GenieChef is primarily designed to solve a simple problem:

I have some ingredients, but I have no idea what to cook.

I built PharmaSafe to make drug safety and pharmacovigilance analytics easier to access for students, researchers, and professionals.
Pharmacovigilance data can be complex to explore, while many existing solutions are expensive or designed for large organizations.
PharmaSafe brings multiple useful tools together in one free platform:
Drug search & analysis
Pharmacovigilance data exploration
Drug comparison
Adverse reaction analysis
Safety insights
PDF/CSV exports
Fast, browser-based tools
My goal is simple: make pharmacovigilance analytics more accessible, practical, and easier to explore.
PharmaSafe is still growing, and I m continuously improving it based on feedback.
If you work or study in pharmacovigilance, drug safety, pharmacy, or pharmaceutical research, I d love to hear your feedback.
Try PharmaSafe: https://pharmasafe.site
#ProductHunt #Pharmacovigilance #DrugSafety #Pharma #HealthTech #DataAnalytics

I ve just launched Retainer on Product Hunt.

Retainer is a B2B SaaS built for agencies, consultancies, dev shops, and professional service teams that manage recurring client retainers.

The problem I wanted to solve is simple: retainer hours can become surprisingly messy when they re managed through spreadsheets.

Teams need to keep track of:

I maintain paseo-agy-acp, a community adapter between Paseo and Google's official Antigravity ACP kernel.

The project started from a deceptively simple question: if Paseo already speaks Generic ACP and Antigravity already exposes an official ACP server, why is another layer useful?

What if your feed actually helped you remember something?

A few weeks ago, this started with a simple question.

We realized we spend hours discovering incredible ideas online, yet remember almost none of them. Instead of asking people to stop scrolling, we asked: what if scrolling could become learning?

That became Tidbit.

I built WUTONG xmp2c1 for photographers, retouchers, and preset creators who want to move creative looks from Lightroom or Camera Raw into Capture One without rebuilding every style by hand.

Unlike slider-only translation, the desktop workflow uses Lightroom Classic to bake supported global color and tone, including supported linked Profile/Look color. One XMP can produce camera-targeted RAW styles and general JPEG styles at 100%, 75%, 50%, and 25% strength, plus optional 33-point and 65-point CUBE LUTs. Multiple source groups remain separate.

I also want to be clear about the boundary: Lightroom and Capture One use different RAW engines, so this is not a pixel-identical promise. Adaptive masks, local edits, DCP behavior, crop, healing, sharpening, noise reduction, and other photo-dependent adjustments cannot become universal LUT behavior.

The Windows trial includes two complete conversions with no payment details required:

The Problem: Finding a technical co-founder, a designer, or a business partner feels like looking for a needle in a haystack. You waste weeks in DMs only to find out your visions don't align.

The Solution: SYZY streamlines the process through a smart, mutual-interest matching system. No spam, no corporate noise just builders matching with builders.

Why join the waitlist? Get early access to the matching pool, secure your unique username, and connect with vetted creators before everyone else. 100% free for early adopters.
syzy.click (Thank yall in advance.)

I am building a product around relationship-driven outreach, and one workflow keeps coming up: When someone has a goal like hiring, sales, fundraising, partnerships, or career exploration, the hard part is often not writing the message. It is deciding who is actually worth reaching first, why now, and what the smallest good ask should be. I am curious how other makers and operators handle this today. When you are trying to reach someone through your network: 1. Do you start with the most senior person, the closest connection, or the person closest to the context?
2. What makes a first ask feel easy to answer?
3. Where does the workflow usually break: choosing the person, explaining the reason now, finding the warm path, or writing the first message? I am building Netlio in this space, so I am asking partly from product research, but I am more interested in the workflow than in pitching the product here.