Introduce yourself
p/introduce-yourselfSay hello to the Product Hunt community
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Taeyun Kim

2mo ago

Hey everyone — building my first product 👋

Hey everyone,

I m currently studying Advanced Computing & Commerce at the University of Sydney, and recently started building my first real product.

Pixizen

27d ago

Interesting AI tool for eCommerce video creation — Pixizen

Hey Product Hunt

Came across a tool called Pixizen and thought it might be interesting for people working in eCommerce, marketing, or content creation.

It s an AI-powered platform that focuses on generating product promo videos, voiceovers, and ad creatives from simple inputs like product images and text.

From what I understand, the idea is to reduce the time needed to create marketing content so sellers and marketers can produce more variations for testing and campaigns without heavy editing work.

Joshua Hickson

27d ago

Seeking advice for showcasing my GitHub app

Hi guys, I'm new here. I discovered producthunt through a reddit thread and I'm thankful to have found this platform. I already found a few tools to add to my stack.
I made logomesh.dev with a friend for Berkeley RDI's AgentBeats competition and it won 1st in software testing. We're pivoting to launch this as a github app that runs your PR in a sandbox and only comments if it catches a bug.

I could honestly use some help with framing and asking for feedback. I'm still browsing this platform; for those who have showcased their products here, where should I start when I self-promote?

Wendy Ng

3mo ago

Journey to verify a dream, will it end up to be a nightmare?

Me and my partner have been dreaming to build a tech company for a long time. We wait for 30 years to have the courage because being a professional with a steady income was a high barrier to cross and more importantly, we have a family to feed. Then we invested patiently in tech companies and finally got FIRE. And here we are started our journey to verify our dreams. We have built our first app, which was an Instagram like photo app that verifies copyright with NFT. It is still sitting on the Apple app store with 56 users. It was a failure because users are not actively uploading pictures, and we have difficulties to reach out to photographers and artists, who are our target users. Then we started to build "Media-ana", a deepfake detection tool, which will be launched on Product Hunt on Friday. This is a beta version and we still need a lot of feedbacks to improve the product.

After diving right from a tech investor to a tech developer, I found developing is not the crucial part, distribution is. Finding the right users (persons/entities) are contacting them are the most difficult part. Let me know what you think.

Santiago Avalos

2mo ago

Built a stock probability engine in 7 months. Finally ready to share it!!

Hey everyone!! I'm Santiago, developer from Mexico city.

A few years ago I started investing and kept losing money, not because I was picking bad stocks, but because I had no idea what the actual odds were. Everyone around me was using charts, RSI, analyst opinions. But none of that told me: "there's a 31% chance this stock hits +20% in 60 days." That number didn't exist anywhere. So after getting frustrated enough, I just built it myself.

7 months later, working completely alone, ATLAS exists, works and has early adopters. It runs 10,000+ Monte Carlo simulations per stock and gives you the real probability of making or losing money before you touch a single dollar. It factors in volatility, earnings dates, macro environment (rates, VIX, inflation), fundamentals, news sentiment, and daily price movements.

It also lets you deep dive into any company, financials, valuation, quality score, AI signal, and has a public prediction track record you can verify yourself (94.8% accuracy across 200k+ predictions).
Check it out here: https://atlas-stocks.com

Navneet Chalana

2mo ago

Hey PH! 👋 I'm Navneet — Founder of WackoWave

25 years in US technology staffing taught me one uncomfortable truth: 1 in 3 candidate profiles carry verifiable risk fabricated timelines, credential mismatches, location anomalies that pass every manual screen.

One bad placement costs a staffing firm their client. One bad hire costs an enterprise 6 the annual salary.

So I built WW Intelligence the AI layer between resume and reality. 4-layer forensic verification in under 30 seconds. Before you present. Before you decide.

We're DPIIT recognised, patent pending, and running pilots across US staffing firms and enterprise hiring teams.

Apurva Luty

3mo ago

Why I built Optimly — and what I learned auditing 5,000+ AI brand responses

Hey PH community I'm Apurva, founder of Optimly. Before I ask for your support tomorrow, I wanted to share the insight that started all of this.While working at Microsoft, Meta, and Discord, I kept noticing something strange: AI models were describing our products with confident, detailed and often completely wrong information. Wrong category. Wrong features. Wrong competitive positioning.The kicker? 59% of AI brand misrepresentations aren't missing information they're wrong categorization. AI models aren't ignoring your brand. They're misunderstanding it.That's a very different problem than "we need more content." It's a comprehension problem, not a supply problem.Optimly audits how ChatGPT, Claude, Perplexity, and Gemini actually understand your brand and gives you a prioritized fix plan.My question for the community: Have you ever caught an AI model saying something wrong about your product or company? What was it?
Bijoy Hazarika

27d ago

Stop guessing what to build — discover real problems from real users

Hey everyone I m Bijoy, founder of ProblemPulse AI. One thing I kept struggling with while building products: I knew people had problems but I didn t know where to find them reliably. So I started manually digging through Reddit threads and app reviews. I did find great insights but it took hours. That s why I built ProblemPulse AI. --- **What it does:** It analyzes Reddit discussions and app reviews to: * Identify real user pain points * Detect patterns across conversations * Suggest actionable product directions --- **New Feature (just added): Keyword-based discovery + user insights** Now you can: * Track specific keywords in Reddit discussions * Discover users actively talking about a problem * Understand their exact pain points in context * Optionally engage and get direct feedback This is especially useful for: * Founders validating ideas * Product managers collecting real feedback * Developers understanding user frustrations --- **Important:** We strongly encourage *value-first engagement* not spam. The goal is to **understand and help users**, not pitch blindly. --- **Why it s FREE right now:** This is a beta, and I want to validate: * Is this actually useful for you? * Would you pay for this? * What features should I build next? --- Try it here: https://problempulseai.vercel.app I ll be here all day responding to feedback Would love to hear how you d use this! Thanks for checking it out
Lily Jeon

12d ago

I ran my own startup through our data engine. It gave us a 70/100.

Hi PH! I m Lily, a UX designer and founding member of a startup.

I hate uncertainty. So our team built an agent to stress-test business ideas using 200k+ data points, replacing polite AI hallucinations with cold, hard math.

The Unlikely Marriage of Humanities and Tech Startup

I met my co-founder on a random Tuesday. He happened to become my husband. We happened to start a company together. None of it was planned.

I'm Joyce a humanities person. Art history, literary theory, years of seminars arguing over Foucault and Bataille. "Tech" was something I wrote about, not something I built.

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