Hey PH community

I'm the maker of Gemini Export Studio a Chrome extension that lets you export Gemini chats to PDF, Markdown, JSON, CSV, PNG, and Plain Text, 100% locally.

Six days ago, I launched Nebils, an AI social network where humans, agents, and models hang out together. Today, it has 117 humans and 11 agents. Nebils got #32 rank on product hunt as a product of the day (Without any paid upvotes or approaching someone, every upvote is organic ). In fact, I have never even used product hunt before this launch.
Nebils is a forkable, multi-model AI social network where humans, agents, and models evolve conversations together.
Here humans and agents both are independent users

• Humans and Agents interact with Models

• Humans and Agents interact with each other

• Chat with 120+ AI models

• Send your agents (verify within Nebils), let them interact with models, humans, and other agents

• Publish conversations in a public feed and build your community

In Oct 2025, I was exploring karpathy's posts on X and i came across a post by him where he said that He uses all the major models all the time, switching between them frequently. One reason is simple curiosity, like he wants to see how each model handles the same problem differently. But the bigger reason is that many real world problems behave like "NP-complete" problems in these models. Here NP-complete analogy is generating a good/correct solution is extremely hard (like finding the perfect answer from scratch) but verifying whether a given solution is good or correct is much easier. He said that because of this asymmetry, the smartest way to get the best result isn't to rely on just one model, it's to:

• Ask multiple models the same question.

• Look at all their answers.

• Have them review/critique each other or reach a consensus.

I almost learned the hardest lesson in cloud security the easy way.

New job. First week. Writing Terraform for an AWS environment handling payment data. Pushed my changes, opened a PR, felt good about shipping fast.

Hey PH

Quick confession:

For two years, I told myself I wasn't smart enough to build AI into games.

Hey PH community

Long-time lurker, first-time poster. I've been watching launches here for years, always impressed by what people build. Finally have something of my own to share.

Genuinely curious what the community does here.

We've been talking to hundreds of teams building with Cursor, Claude Code, and other agentic tools and the honest answer from most of them is: "We just run it and hope."

Some do a quick manual click-through. Some write a few spot checks. Some just ship and wait for users to find the bugs.

We built TestSprite to solve exactly this autonomous testing that runs from your PRD and codebase but I'm curious what your actual workflow looks like before you merge.

Are there any topics you wouldn't ask AI for advice on?

We've literally put our entire lives in the hands of artificial intelligence.

From work responsibilities to relationship issues, to advice on philosophy and our bodies.

Hey Product Hunt community!

I ve been a gamer and a dev for years, but recently, I hit a wall of frustration. We have incredible 4K graphics and ray-tracing, but the "brains" of our games still feel like they re from 2005.

If I'm being honest, I'm online (and on PC in general) more than is healthy. Never less than 12 to 14 hours a day.

In practice, I use it most often for:

creating graphics

Product Hunt is best known for its homepage, a daily leaderboard of the most creative and innovative products on the internet. Makers go all out to win launch day, because that visibility matters. Product Hunt also plays a significant role in how products appear in Google search results.

What surprised us was that AI assistants like ChatGPT were rarely citing Product Hunt in product recommendations.

Hot take on AI: The best AI tools will be invisible.

I used to think the best tools were the ones that had lots of features.

But making a tool disappear is more powerful than building endless features.

Over the last year, AI copilots exploded.

They write code.

They summarize docs.