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 like Lambda for a lot of things, but there s a very specific point where it stops feeling elegant.

Usually it starts with something like:

• a job that runs too long

• a workflow that should keep going in the background

• a task that needs better isolation or custom runtime behavior

• a system that starts needing cron, retries, webhooks, logs, and routing in one place

And then the answer often becomes: move to Fargate, ECS, Step Functions, EC2, or stitch multiple services together.

If you're a product owner, founder, or builder reading this, I want to talk about something that's costing you money right now.

You probably don't know it's happening.

Here's what I've learned after analyzing 500+ SaaS products, tools, and digital products at Rankfender.

The Mistake

Building a team or want to join a startup? Let's kick 2026 off to a great start.

Founders, teams, and startups drop a comment if you're hiring.

I'll take the hit.

AI has no idea when someone is politely furious.

You know the email. "Hi team, just circling back on this again as I haven't heard anything. Thanks for your attention to this matter." Reads like a sweet grandma wrote it.

A human reads that and thinks "oh no, they are about to burn the building down." AI reads it and thinks "great sentiment, very positive, 98% satisfaction score."

We keep hearing: Juniors won t stand a chance.

But companies are still opening internships, which suggests something deeper than just skill-building still matters (like understanding systems, workflows, and how companies actually operate the management part).

I've been a professional developer for 10+ years (WordPress ecosystem, and React, TypeScript, Node, the whole stack).

Now I'm building my own SaaS and I'm genuinely torn.

Hey all!

Quick question for founders and indie hackers: what's slowing you down when you're actually building something new?

After a pause of more than a year (because I had to do some other things), I'm now continuing the development, have just released a "first" update, see here.

I plan to work on App Finder now near full-time for the next 1 to 1.5 years, the list of planned features is long :)

Building a community these days is no longer just about setting up a social media profile or starting a private group on Slack or Discord.

Companies need to differentiate themselves, gain a competitive advantage, and build relationships with clients/users on a more personal level.

Hi Product Hunt community, I m Artin, founder of SUN.

Ask me anything about how we got into a16z Speedrun, the product, fundraising, team building, or our Product Hunt launch.

Happy to chat and share what s worked (and what didn t).

For months, we were building features based on what users said they wanted. Feature requests.
Sales calls. "It would be great if you added X."

We built X. Nobody used it.

So we stopped trusting what people said and started tracking what they actually did.

The dataset

For anyone who want to support
https://www.producthunt.com/prod...

TBPN is a daily live show focused on technology, business/startups, and AI.

It has been generating around $30 million annually, so that's why the acquisition is estimated to be ~$100 300M.

The show has already hosted major names like Mark Zuckerberg, Satya Nadella, and Sam Altman.

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.

A story and an experiment have been spreading on X: Scientists uploaded the brain of a fruit fly into a computer, and now it lives freely in its own simulation.

We managed to clone the physical form of animals more than 30 years ago (for example, the cloning of a goat using SCNT in 1999). There was even a controversial case in China where a scientist was sued after attempting to create gene-edited babies in 2018.

Hey everyone! Excited to share what we've been working on.
We just added Virality Score to OpenCut AI, a neuroscience-backed engagement analyzer that grades your video A-F across 7 signals before you hit publish.
How it works
Drop a video into the editor, click "Check Virality Score," and get:
- Hook Strength does your first 1.5s grab attention? (33% of TikTok viewers scroll past in 3 seconds)
- Curiosity Gap is there unresolved tension keeping viewers watching?
- Audio Energy are your levels and pacing right for the platform?
- Beat Sync do visual cuts land on audio beats?
- Face Presence the #1 short-form retention driver
- Emotional Arc does your clip build to a payoff or flatline?
- Viral Potential LLM-powered composite prediction
Each signal scores 0-100, rolls into a letter grade, and comes with actionable suggestions ranked by expected impact.
Why we built this
Most creators publish and pray. The difference between 10 views and 100K views is rarely the content it's the presentation. We used neuroscience research (dopamine prediction loops, orienting response, information-as-reward) to identify what actually holds attention, then built scoring algorithms around real platform data:
- 65% of 3-second viewers watch 10+ seconds
- Text overlays increase view time by 28%
- Videos with 65%+ 3-second retention get 4-7x more impressions

Also in this update: YouTube to Reels
Paste a YouTube URL and OpenCutAI will auto-detect the best 15-90s clips, score each one, reframe to 9:16 with face tracking, add captions, and export ready-to-upload reels. The full pipeline runs locally.
Would love to hear from creators, what signals would you add to the scoring? What's the first thing you'd test this on?

AI workflow automation tools help you design, run, and evolve workflows that actually take action not just suggest what to do next. Some use AI to make workflows easier to build. Others embed AI directly into execution so workflows can handle ambiguity, make decisions, and adapt as they run. The strongest tools do both.

This definition excludes tools where AI only generates static workflows and then steps aside. It also excludes general assistants that never meaningfully participate in end-to-end execution.

Caffeine has a half-life of ~5 6 hours for most people.

That 3pm espresso? Half of it is still active in your system at 9pm. A quarter of it is still there at 2am.

You're not bad at sleeping. You're caffeinating too late.

Clarity is built around this science. Re-launching on Product Hunt in 6 days.

Created a very simple app to gather feedback about Inquir.
In case you find bugs, or just want to see any new features, add them all here.
It's not modarated XD.

Quick context: GPX files power route animations in Travel Animator. But once uploaded, they were mostly read-only you could only tweak start and end.

We kept hearing the same thing: I want to add a photo here or swap the model at this turn.

So we unlocked the entire path. Zoom in every waypoint appears tap to customise. Models, images, whatever you need.

One GPX file. Infinite creative possibilities.

I want to talk about how I built @MCPCore - a cloud platform where developers create, deploy, and manage MCP servers from their browser - and what 10+ years of backend experience taught me about using AI in production work. Not the hype version. The honest one.

Every idea is already taken. So what?

I'm a backend engineer. I've spent most of my career building server-side systems, and I currently lead a backend team at my company. At some point I wanted to build something of my own. A product. Something real.

One recurring issue we ve been seeing with Supabase setups is not the database itself, but how credentials are managed across environments. The common pattern looks something like:

• credentials stored in .env files or secrets managers

• multiple environments (dev, staging, prod)

• manual propagation or duplication across those environments

It works, but over time it seems easy for things to drift:

• a key gets rotated in one environment but not others

• a redeploy misses an env var

• credentials get misconfigured during setup or migration

Hey Product Hunt!

We're working on a proactive AI assistant that doesn t just respond, but actually manages your life for you!

Six months ago, I launched a product.

Beautiful landing page. Great onboarding. Real customers. Solid retention.

One problem: AI never mentioned it.

Not in ChatGPT. Not in Perplexity. Not in Gemini.