Hi Product Hunt, I'm Vasya
For over 6 years, I've been working as a product manager.
For the past 1.5 years, I've been building my own startup in the social trading space within web3, where I serve as CEO.
You've probably already guessed that I'm passionate about the idea of decentralized finance (DeFi), as well as SocialFi and blockchain technologies.
I have strong expertise in product management, web3 marketing, and UX/UI design.
In those 1.5 years, I've managed to:

• assemble a team of developers,

• participate in two hackathons,

• build a product nobody needed,

• spend all the money and raise investments from family and friends,

• make a pivot,

• go through an accelerator and secure three grants.
  Right now, I'm preparing my startup for launch on January 10, and I'd love to exchange experiences with like-minded people as well as get your support on launch day!
  Happy New Year

Hey everyone, I m Aditya
Founder + frontend dev. I spend most of my time building SaaS tools and obsessing over developer workflows and user feedback loops.

Big fan of learning in public and trading notes with other makers here.
Looking forward to contributing and learning from this community.

Hey folks,
I m Stella, and I am excited to be here. I mostly come here to explore new launches, read the comments (sometimes even before the product), and understand what truly makes a product stand out.

Quick one for you:
Do you check the comments or the product page first on Product Hunt?

Looking forward to joining the conversations.

I m a quant by day and an AI builder by night recently spending a lot of time exploring LLMs and turning ideas into practical, shippable tools.

Lately I ve been building a Supplement Advisor project: a simple, user-friendly assistant that helps people navigate supplement info and make more informed choices (without the overwhelm). It s been a fun mix of product thinking + applied AI.

Right now, AI is a major trend across startups, users, and investment funds.
Many venture capital firms are investing in almost every well-known AI startup simply because it s not worth spending time trying to predict the winner of this race there are too many strong contenders.
At TractionEye, we ve rethought classic copy trading by eliminating its shortcomings. But this raises an important question: how can AI actually improve a trader s PnL and the PnL of their community?
Initially, we considered AI agents managing users capital through trust-based asset management mechanics, operating according to their own trading strategies.
However, after analyzing the market and reviewing trading experiments involving AI models such as Human vs. AI on Aster DEX and AI-versus-AI competitions by @nof1 we didn t find AI models that statistically significantly outperform experienced traders.
Today, AI excels at analytical tasks, but well-balanced, high-quality decision-making should still remain in human hands.
This leads us to an idea where AI acts as a trading analyst analyzing social and market signals and delivering clean, noise-free insights to traders.
Let s think together: how else could AI help improve PnL for both the trader and the community that follows them?
And do we actually need AI in our product right now?
We d really appreciate your thoughts. This will help us build a product people genuinely want to come back to while consistently seeing a positive PnL!

Hi everyone, I m Rashi Arora, Co-founder, Kanpy, a brand and marketing agency. My journey started in 2021 with freelancing, and since then I ve worked across brand-building and growth from personal branding for founders, coaches, and agencies, to content marketing and storytelling for brands, helping them create unified, omnichannel digital presence.

Over the years, I ve supported startups through their early phases community building, go-to-market strategies, digital presence across social platforms, employer branding, and everything from pre-launch campaigns for SaaS products to launch and post-launch growth strategies.

I'm Tony software architect by day, poet by early morning.

I've been building iOS apps since 2010 (started with a Chromecast app back when that was a thing), but I've never been good at the marketing side. I have a tilt maze game in the App Store right now that maybe 12 people know about. I'd like to change that pattern.

My day job is in AI tooling and MCP (Model Context Protocol), but my path here was non-linear: I started in college focused on literature and writing, got distracted learning to build websites to publish my own work, and somehow ended up with a master's in computer science instead.

Last August I finally started writing again by hand, every morning at 7am. That daily practice led me to build my latest app, which scratches my own itch: bridging handwritten pages to digital publishing using AI as a collaborator (not a replacement).

Hi everyone

I m a patch and vulnerability management engineer by profession, and recently started building a small security tool based on real operational challenges I face in day-to-day work.

The main problem I m exploring is how teams track security patches and CVEs across multiple sources without drowning in noise.

This is very early-stage and feedback-driven I m not here to launch or promote anything yet. My goal is to:

Hey everyone
I m Aditya Raj, a frontend developer and SaaS builder. I enjoy working with React, Next.js, and building clean, performance-focused products.

I m currently exploring ways to improve how teams collect and understand user feedback, which led me to build Retour. I joined this community to learn, share experiences, and connect with like-minded builders.

Looking forward to great discussions and learning from you all

I bet you learned and experienced a ton over the past 365 days. All those lessons are pure gold you can carry into the future, especially into 2026.

So, what s the single most valuable piece of business advice you would give your 2026 self right now?

With tools like v0, Cursor, and Bolt, I feel like I can spin up a functional MVP in a weekend. The engineering barrier is dropping fast.

But actually validating if anyone wants the product... that still feels like the slow part.

It feels like a weird paradox in 2025:

• Building the solution: Instant / AI-assisted.

• Finding the problem (Talking to users): Still manual, slow, and hard.

I keep seeing the same pattern across early-stage teams:

the MVP works until it really doesn t.

For many founders, the hardest part isn t getting something online
it s everything that comes after:
infra that cracks under real users
code that no dev wants to touch
rewriting the whole stack
AI-built projects no one can maintain
the moment you realize your prototype isn t a product

I keep seeing the same pattern across early-stage teams:

the MVP works until it really doesn t.

For many founders, the hardest part isn t getting something online
it s everything that comes after:
infra that cracks under real users
code that no dev wants to touch
rewriting the whole stack
AI-built projects no one can maintain
the moment you realize your prototype isn t a product