Connect with the Product Hunt community

Creating one cool overlay is easy. Making a whole set of them look like they belong to the same brand? That usually takes hours in After Effects. Not anymore.

Welcome to Videohead Kits. We ve built a smart color-mapping engine. You just give it 4 colors Neutral, Primary, Secondary, and Tertiary. Our AI understands design hierarchy and automatically applies them where they belong.

The result? You get a unified pack of Lower Thirds, CTAs, Subscribe buttons, and Progress bars that look like you hired a professional motion designer. Zero design skills required.

It's been two weeks since we launched Tacet on Product Hunt. With ending up in the top 10 of the day and becoming #1 of the week in the health and fitness category, we can look back on the launch being very proud and satisfied. But while we celebrate that milestone, the team is fully focused on what we are always building toward: NeuroJournal, our full brain monitoring platform.

Tacet and NeuroJournal are built on the same foundation, but they are not the same product. Tacet works with just your phone. It passively tracks how you interact with your device to generate a cognitive fitness and sleep quality score over time, building a picture of your brain health across days, weeks and months. NeuroJournal adds real-time EEG recordings using a consumer-grade remote EEG headband on top of that, giving you a much richer, multimodal picture of what is happening in your brain right now. Attention, cognitive load, sleepiness and more.

Kimi K2.6 launched last week on Product Hunt, 4 days after @Claude by Anthropic Opus 4.7.

How do they really compare? The @Kilo Code team ran the comparison. They gave both models the same workflow orchestration spec and reviewed the code. Here's what review turned up.

Hard to believe now, but back in 2024 when we named our concept the "Open Context Layer," every pitch and networking event ended the same way:
"What the heck is context? Who needs it? Why would I even bother?"

I'd spend 3-5 minutes explaining that context is your data, in a portable format, pluggable into any platform. I cycled through every analogy I could find: "think of it like a USB stick," "imagine carrying a briefcase with all your important documents," "a Google Drive that connects to platforms."

But now when I say "we're building an open context layer" ... people just get it.

We're quick to complain about the hard parts of startup life. But sometimes there is a silver lining..

Hey Product Hunt!

We ve all been there: you look at your bank account and see a charge, but you can't tell if it s a subscription you forgot about or just a grocery run. Tracking bills shouldn't be that annoying!

So, we built Recurring Charge to fix this.

It automatically separates your regular shopping from your actual recurring bills like monthly software, gym memberships, or bi-monthly invoices.
Even more with Lums AI

There's a pattern in AI products right now that worries me: the goal is to make AI the relationship.

AI friends. AI therapists. AI partners. The pitch is always the same humans are complicated, AI is easy. No judgment, available 24/7, infinitely patient.

Phia is now Dina.

Over the past 3 months, we ve been quietly rebuilding everything from the ground up.

Not just features but the way ideas are shaped, refined, and presented.

I m incredibly happy to share that Guitar Wiz has been selected as a finalist for the Apple Design Awards.

YC-backed @Mintlify (YC W22) just announced a $45M Series B round, bringing their total funding to $67M, to "accelerate [their] mission of building the knowledge infrastructure for AI."

Read in their blog announcement:

Mintlify now powers documentation for over 20,000 companies, with content reaching more than 100 million people every year. This round accelerates our mission to become the knowledge layer that makes products understandable, usable and discoverable by AI agents.

Over the past week, the reach of my posts on LinkedIn has decreased significantly. One of my posts used to have 10k impressions, now it's about 500 per post.

I don't know if I can technically check my "shadowbanned" status, but I'm currently trying to find a way to get back. For example, people don't even get notifications about my posts.

Everyone is talking about Karpathy's LLM knowledge base. 16 million views in a few weeks. But nobody is naming the actual problem it reveals.
Karpathy built a personal wiki, roughly 100 articles and 400,000 words, compiled entirely by an AI from his raw research docs. He didn't write a single word of it. It's one of the most compelling demos of what personal AI knowledge infrastructure can look like.
But here's the problem: The wiki lives on his machine. Every time he opens a different AI tool, it knows nothing about it.
That's not a Karpathy problem. That's everyone's problem.
Some other people like Allie Miller built a "context vault," structured summary docs she feeds into Claude to avoid re-explaining herself every session. Teams are using Notion as a memory layer. Developers are writing custom scripts to sync context across tools. Some are setting up github wikis, while some are using Obsidian to set up local markdown files.
All brilliant. All manual. All solving the same root failure: AI has no durable, portable sense of who you are.
Every time you open Claude, Cursor, ChatGPT, or whatever ships next month, it starts from zero. There is no standard for "this is who I am" that travels with you. The burden of continuity falls entirely on the user.
Some will point to Claude's memory feature or ChatGPT's memory. These are genuine steps forward. But they are per-platform, opaque, and you don't own them. Switch tools and you start over. They are not solving the
portability problem. They are each building their own silo of you.
The real issue is that context continuity is being treated as a feature when it is actually infrastructure.
Features get built per-product. Infrastructure sits beneath products. What's missing is a memory layer that sits above any individual tool. One canonical store of your context, preferences, and knowledge that you own, control, and selectively grant any AI permission to read. Not stored by Anthropic. Not stored by OpenAI. Portable across the fragmented AI landscape.
A year ago the coordination problem here would have been enormous. Getting AI providers to query an external context layer would have required deals, standards negotiations, and a lot of waiting.
MCP changed that. MCP (Model Context Protocol) is an open standard that lets AI tools query external data sources directly. Any AI tool that supports MCP can already read from an external context server, no special agreements with providers required. The infrastructure exists. What has been missing is someone building the right thing on top of it: a user-owned, canonical context store that any MCP-compatible AI can read with your permission. For example, with the AICF MCP Server, you could not only read but directly add, edit, delete, organize your cross-platform memories from within the AI chats.
Our vision: One memory. Every AI. Owned by you.
p.s. we have a lifetime deal going on AppSumo which will end this month: https://appsumo.8odi.net/m4n0da

Hi community

Tomorrow we re launching Spellar AI

We built it because we were tired of leaving meetings with lost context, forgotten decisions, and action items scattered everywhere.

Spellar 3.0 is an AI meeting companion that records, summarizes, and remembers your meetings so you can stay present during calls instead of worrying about notes

Mine says 68 today. Green zone apparently. But 68 out of what? Compared to what baseline? Why 68 and not 71? Should I train hard or take it easy? The app doesn't say. It just shows me the number and a vague color.

Most wearables give you a score with zero explanation of how they got there. Black box. Proprietary algorithm, tuned for some average user that probably isn't you. You either trust it or you don't, but you have no way to verify it either way.

We ve all been there: You check your storage, and there s a massive yellow bar labeled 'Other' or 'System Data' taking up 50GB+.

In OptiClear, I built the Large & Aging Files analyzer specifically to hunt these down. It's often forgotten .dmg installers from 2 years ago or massive log files that serve no purpose.

Yesterday, a user told me they found 12GB of old screen recordings they forgot they ever made!

Question for the community: What was the weirdest or largest 'forgotten' file you ever found while cleaning your drive?

Folks, thank you so much for your support today - we're at number 5, ahead of huge companies like Notion and Meta :oo never expected this!
Every bit of support from you will count to hold the spot and aim higher. Thank you infinitely for your upvotes and comments today!
https://www.producthunt.com/prod...

Hey everyone!
Just shipped A/B testing for thumbnails and hooks directly into OpenCut AI. Generate variants, score them automatically, and pick the winner all inside the editor, no external tools needed.
Thumbnail A/B Testing
Generate up to 4 thumbnail variants, then auto-score each one on:
- Contrast
- Text readability
- Face presence
- Color vibrancy
- Composition
Each variant gets a letter grade (A-F) and an overall score. The winner gets a "Recommended" badge. You can also score thumbnails you've already generated.
Hook A/B Testing
Got a transcript? Generate 5 hook variants different openings designed to grab attention in the first 3 seconds. Each variant gets an estimated engagement score so you can compare them side by side.
Analytics Dashboard
Tracks your scoring history over time:
- Average composite score
- Grade distribution
- Per-signal breakdown (hook, curiosity, energy, etc.)
- Strongest and weakest signals
- Score trend chart
Why this matters
TubeBuddy puts A/B testing behind their $15/mo Legend plan. VidIQ does the same. We think this should be free and built into your editor not a separate subscription.
Everything runs locally. No data sent to third parties. MIT licensed.
What other YouTube optimization features would you want built in?

please update using the following command:
curl -fsSL https://zero.xyz/install.sh | bash

A year ago, half the marketing world told us "AI search" was overhyped. The other half was shipping "ChatGPT SEO checklists" in a week.

We ignored both.

Instead we did one boring thing: we scraped LLM citations. Every day. Across ChatGPT, Perplexity, Gemini, Claude. For hundreds of brands. And we asked one question when AI recommends a product, where does that recommendation actually come from?

Here's what we found that nobody was talking about:

Ive been dropping the most cursed photos of my friends mid conversation on snapchat and watching them freak out in group chats and wanted to gamify it and build a game.

So i built PhotoBomb. one person picks a prompt, everyone else submits their most cursed photo for it, and the prompt picker chooses the best one. bonus points if someone screenshots your photo. its free IOS only

We just shipped v1.6.0 for Windows. This one is focused on making it easier to connect, especially for in-car use.

Hotspot Without Internet

A new "Hotspot with loopback interface" mode lets your PC broadcast a hotspot even when it has no internet connection. Great for Tesla setups where you just want to extend your display without needing to tether your phone.

DROP used to be simple.

You uploaded files. You shared them. People opened the link. Nobody needed a training video, a webinar, or a small emotional support group.

Hey Product Hunt community!

I'm the co-founder of Orchestria. While Batu is managing the main launch discussion, I wanted to open a highly technical thread with the engineers, builders, and music producers here regarding our architectural approach.

When we looked at the current generative music space (Suno, Udio, etc.), we realized they all hit the exact same brick wall: they treat music like pixels, rendering a single, uneditable stereo file.
We knew that for real studio production, this is a dead-end. Creators don't want a final master; they want modular components.

To fix this, we avoided standard prompt-to-audio wrappers entirely. Instead, we built an agentic audio pipeline that spins up real, professional-grade, headless VST instruments (like Vital and Surge XT) directly inside our production servers.

I will go first.

Page views.

For months, we reported page views to our investors. The number went up every month. It looked like progress. It looked like growth. Everyone was happy.

Then we looked at what was actually happening. People were landing on the blog, reading one post, and leaving. They were not clicking on the call to action. They were not signing up for the trial. They were not coming back.

I was reading Nika's thread here about free vs paid features. Really made me think.

Link: https://www.producthunt.com/p/ge...
( shout-out to @busmark_w_nika ! )

She talks about giving generalized advice for free, but charging for specific, tailored help. That's a good framework.
But most product owners figure this out after they build, not before.

That's backwards.