Hey,
Artem here. I left Meta in Apr 2024 to fully dive into realm of GenAI. I knew back then that with the pace of development the distribution wins, not the product. So I spent a year cracking SEO and wasting tens of thousands on ads so you don't have to. Happy to share my learnings and answer your questions.
Some stats. As of now our app has over 200k registered users with up to 700 joining daily.
Before AI summaries we've reached 200k monthly visits on the website.
And then crashed hard in the past few weeks.
We also iterated on product like crazy and learned a ton.
Ask away!

Now we know how much it'll cost and given the pricing, I presume the idea is that you would replace your ChatGPT subscription with Dia's?

We are super close to wrapping up our most anticipated features: improved search and chat with your full knowledge base, which will roll out over the next 1 2 weeks!

Get notified of the launch here!

I'm creating a fitness app that uses AI on @Lovable, and I'm also testing it myself.

I use the app daily to check its functions, how it works, and the exercises. If I find something strange or think of something new, I record voice memos with issues, changes, or improvements. I act as both the product manager and a user. Later, I listen to these notes and make the changes.

Heya

I m thinking of building a simple, unbiased comparison platform for products, services, tools even technical stuff like frameworks, APIs, and AI tools to help you decide faster with clear side-by-side insights.

Personally, I often find myself deep in Amazon reviews, YouTube videos, and scattered blog posts when trying to choose something new. While some comparison sites exist, I ve never found a complete or truly comprehensive solution. The same goes for developers when exploring new frameworks or libraries with similar alternatives, a quick, focused comparison could really help clarify things.

Before going further, I d love to hear from you: Would you find this useful? Your feedback will help shaping what I build next.

We ve had the chance to onboard some amazing early testers into Datastripes over the past few weeks and honestly? The feedback has been a lot!

For example, we saw people are using Datastripes in ways we didn t fully expect:

1. Quick dashboards for internal reports

2. Exploratory flows for understanding messy datasets

3. Automated processes for recurring tasks

4. Even sharing live dashboards with clients or investors

Think about it,

What are most interesting discoveries on Product Hunt that are super obvious later, but invisible at the start.

I just launched AutoThanker a super light AI tool that instantly creates thank-you messages for real-life situations (teachers, clients, teammates, etc.).

give it a try (No signUp/login required.)

https://autothanker.vercel.app/

Would love feedback or ideas on improving it!

It is a question of choosing between two evils for us now. Neither option is completely free of flaws.

Human: Recruiters with "gut feelings" who harbor unconscious bias. they reject excellent candidates who just didn't go to the "right" school or didn't just "click." Inconsistent, unfair, and un-auditable.

AI: Algorithms whose training datasets are themselves replete with historical biases. They increase the scale of discrimination at light speed, becoming so-called black boxes that end up rejecting qualified candidates for reasons that humans cannot even fathom.

We are truly deciding to exchange messy, subjective human prejudice for cold, ruthlessly efficient algorithmic prejudice. Is that really an upgrade?

Hey PH folks

I m currently building a SaaS (still early, but functional!) and hitting that classic wall: pricing tiers.

I ve read a bunch of articles, but I d love to hear from real builders:

Vibe coding seems to be a popular concept these days. Instead of writing all the codes by themselves, developers are turning to natural language prompts to simplify the programming process. It seems much more accessible, efficient, and beginner-friendly.

So what about data analysis? It still seems highly professional now, and the majority of people naturally think that they cannot do the data work but have to resort to analysts for help. But maybe with the advance of AI data analysts, everyone can get a customized tool for them to do 'Vibe Data Analysis'--have the data analyzed simply by asking questions to AI.

They just need to upload their dataset, however large it is, ask questions in plain language, and wait for the tool to process. The tool analyzes the data and responds with clear summaries, visualizations of all kinds of charts, and actionable insights, enabling users to make decisions based on solid evidence, without having to spend hours learning softwares, coding skills, or just waiting for an analyst to free up.

For data analysts, their work may become much more easier, as the tools can take over and automate much of the tedious work like data cleaning and calculatiion. They can focus on more creative and valuable aspects, like digging deeper into the data, interpreting the results, and delivering insights to their clients.

There s a lot of talk about freedom, flexibility, owning your time, and 100% equity.

But behind the scenes, being a solo founder is also full of hidden challenges emotionally, financially, and logistically.

As a solo founder, you wear all the hats: product, design, marketing, support, strategy and sleep, if there's time.

Awesome progress!

Today, Warp is the #1 overall coding agent on benchmarks like Terminal-Bench (20% ahead of Claude Code) and top 5 on SWE-bench Verified (71%). We ve been blown away by the reception post-launch: from press outlets (TechCrunch, Fast Company, New Stack), to product adoption, and real-user feedback.

More product updates too:

I don't hear about Augment as much as I do Cursor, Windsurf, Claude Code etc. but they've also raised more than $200M, so it must be decent.

They just announced the release of a CLI tool, Auggie, to compete with Claude Code.

Everyone focuses differently. And for a lot of people, where and how they work makes a huge difference.

Some need silence. Others need background noise. Some can t stand the cold, others lose focus if it s too warm. Coworking spaces? Only if they have the right vibe. Offices? Only if colleagues aren t interrupting every five minutes.

Launching your first B2B SaaS feels like a rollercoaster

building features, chasing that elusive first 100 customers, and dreaming of scale. What I wish I knew earlier? Your first paying user rarely comes from ads or fancy funnels, it s usually from genuine conversations, communities, and relentless feedback loops. We learned the hard way that talking to 10 real prospects beats 10,000 cold emails, and scaling happens when those early users love your product enough to tell others.

As founders, builders, and makers, time is everything. What AI tools are genuinely boosting your productivity or helping you ship faster? Why do you choose these over others?

Sometimes it s not the big features but those tiny thoughtful touches that show a product team really cares. For me, it was when Notion let me paste a URL and immediately convert it into a card. What was it for you? 

Things in AI move so fast, it s almost absurd. Blink, and there s a new wave of tools redefining everything.

And somehow, since the start of 2025, we ve already seen:

For me, it was a very simple, yet really insightful thing: enhance what's already working.

We're running a community forum, and our "Changelog" and "Ask the Community" categories performed really well. But after we featured them on the forum's homepage and applied some changes to improve usability, the engagement boosted significantly.