When Omegle shut down, a lot of us lost those random, late-night conversations with strangers that felt strangely human. Social media doesn’t give you that anymore—it’s feeds, ads, and followers.

So we made StrangerMeet . It’s simple:

Tap once, get matched instantly with someone new.

Text, voice, or video—your choice.

If you both click, you can “continue” the chat later.

We wanted to bring back the fun without the mess. It’s lightweight, real-time, and we’re learning from every conversation.

Curious how HN thinks about this: is there still a space for pure, serendipitous conversations online?

Thanks for checking it out! The site is still in beta and pretty new, so activity tends to spike at certain times of day rather than being constant. Traffic has been growing though, and the goal is that over time you’ll be able to find people to chat with any time.

Thanks for checking it out! The site is still in beta and pretty new, so activity tends to spike at certain times of day rather than being constant. Traffic has been growing though, and the goal is that over time you’ll be able to find people to chat with any time.

It’s kind of ironic watching AI companies push for openness, then panic when the internet does what it always does — break things, remix them, and expose cracks.

I’m just building a small project for chatting with strangers online (stranger-meet.com), and even in that low-stakes space, I’m seeing how fast the AI landscape is shifting — legally, technically, ethically. The gap between “playground innovation” and “corporate lockdown” is getting wild.

Feels like we’re entering the phase where AI companies start closing doors they once bragged about opening.

There’s definitely a gold rush vibe in AI right now — and not the good kind. It’s wild how quickly “open” AI research turned into billion-dollar lobbying and closed APIs.

As someone building a small project (stranger-meet.com), I constantly feel the tension between making something fun for humans vs. building something that can “scale” in the VC sense. The incentives are so different.

This video nails an important point: regulation isn’t just about safety — it’s about who gets to shape the future. Right now, it’s mostly the richest.

Super slick! Love how compact and Windows-friendly this is — so many MCP examples feel bloated or overly abstract. This is refreshingly direct.

I’ve been building a real-time chat app lately (stranger-Meet.com) and running into all kinds of overengineered setups. A clean 2-liner MCP like this is honestly a dream for debugging or prototyping quick AI integrations. Bookmarked — and big thanks for sharing!

Interesting take. It feels like academia is now stuck between being a training ground for AI models and being slowly gutted by them. First the AI companies read all the research, now they’re hiring away the researchers too.

The irony? Universities helped build the tools that are now disrupting them. Feels like open access became open season.

I've been working on a small social project myself (Stranger-Meet.com), and even there I’ve noticed how quickly AI is swallowing human connection. It's fascinating—and a little scary—how fast it's moving across industries.

Curious how many institutions will pivot to AI ethics and regulation, or just license their data and call it a win.

Just launched StrangerMeet, a simple platform to chat anonymously with strangers via text — no signup needed. Inspired by the old-school internet randomness (think Omegle, but cleaner and focused on meaningful or just fun conversations). Would love your feedback — especially on performance, UX, and privacy concerns. It's super new (just 8 days live), so things might be a bit rough, but I'm improving it daily!