Hey everyone

I realized that many websites lose potential customers simply because they don t respond instantly. Visitors come, check, and leave without taking action just because no one is there to guide them.

So I decided to solve this problem.

so i am a high school student and take part in lots of kaggle competition but the main problem i face is data cleaning especially for datasets above the size of 80 mb even claude or chatgpt have a limit of 30 mb, it takes at least 2-4 hours to clean a dataset and make it ML ready therefore to solve this problem i am developing an preprocessor that takes your messy CSVs and clean it according to the algorithm you will use XGboost, Regression and etc looking for your insights like is this actually useful and may work or i am overthinking.....

you can try the mvp

https://refineai-six.vercel.app

You know that feeling when you've finally cracked a Midjourney or ChatGPT prompt?

The exact seed, the lighting words, the style reference that just works. You run it. The output is perfect. You feel like a creative genius.

Then three days later, you can't find it. You search your notes app. Nothing. You dig through Discord history. Gone. You scroll through ChatGPT conversations like an archaeologist. You try to recreate it from memory. It's never the same. That prompt is just... lost.

This happened to me one too many times. I was juggling prompts across Notion pages, sticky notes, a random .txt file on my desktop, and three different AI tools and every time I wanted to build on something that worked, I was starting from scratch.

Hey hunters, I m Ayesha (@AyeshaBuilds).

I ve been building RoastMyLanding from Bangladesh. Yesterday, I shared that I was worried about offering a "Free Tier" because of high API costs. But after thinking about it, I realized that as a maker, the best way to prove the value of my tool is to let you see it in action first.

So, I ve pivoted.

For a while, we thought our process was solid:

- PR review

- CI passing

Hey everyone

I recently discovered Product Hunt, and it really feels like one of the best places to launch a product and find your first real users.

Right now I m building VertoX.

It s real-time voice translation that lets you speak any language on calls while keeping your tone, emotions, and your own voice.

I've been working on a search engine project called Slick for over a year now, and I finally have an early access version ready to share.

Slick is a search engine built for speed, privacy, and user control. We never track search queries, location, or user behavior. Since we use our own index and ranking, no tracking slips through proxies.

Heres what Slick has to offer:

You just launched on Product Hunt and X is blowing up with replies. Instead of letting that momentum fade, embed your best reactions directly on your landing page while the hype is still fresh.

Turn launch day energy into long-term credibility.

Sign in Fetch & Curate Publish.
Withing seconds you'll have options of
1. URL

We ve been working closely with early-stage startups and noticed a pattern.

Most accelerator batches struggle with the same things:

• slow MVP development

• poor product-market validation

• no clear growth system after launch

So we started helping a few batches with a simple approach:

I've been building ATLAS for 7 months. The idea is simple: instead of charts and opinions, you get the actual probability of making or losing money on any stock.

This is what a simulation looks like: for example Apple, target +5%, 75 days. You can do this for 4,500+ stocks, or get a suggestion of the best stocks with the highest probability for your constraints! The idea is that you can make a more informed decision about your investment ideas!!