Connect with the Product Hunt community

This could be related to your industry, or even a side project you're working on.

Here are my 5 (I couldn't function without them):

1. Grammarly proofreading my texts, not just posts, but also client communication

2. ChatGPT / Claude mostly brainstorming, help with copy, and summarising

3. Figma I can put the basic graphics together quickly.

4. Translator sounds incredibly old-school, but English is not my mother tongue

5. Gmail and not only for communication, but also for storing ideas and sending myself email reminders for posts

Hey everyone quick this week update for Browser Notes https://browsernotes.app.

I've been running Claude Code, Cursor, and Codex pretty heavily for the last few months and I keep hitting the same loop:

1. Start a task in one agent

2. Switch to something else (Slack, Twitter, another terminal)

Woke up tired like I'd worked a full shift. Same bug, looping, my brain solving it ten slightly different wrong ways until morning. Git log empty. Nothing real happened.

Part of me took it as proof I care about what I'm building. The other part knows a brain that won't clock out isn't a flex, it's a leak.

Do you get this one? And if you do, what actually makes it stop?

In the month that I've been here, I've been noticing a pattern in a lot of launches - strong demos, polished UI, clear outputs of "what it does."

But when I ask myself "What problem does this solve?" I sometimes have to dig for the answer. (I come by that thinking honestly - I've spent 33 years building and fixing businesses, so this is the lens I can't turn off.)

I've always struggled with promoting my own work. It always felt a little awkward because I grew up in an environment where drawing attention to yourself wasn't really encouraged.

That's not exactly ideal when you're trying to build a business, and even less so when marketing is literally how you make a living. :D

I realized I probably couldn't stay away from the internet for an entire day. :D

Partly because I want to keep my Product Hunt streak, but also because:

• I try to nurture my community and engage with them every day (essential for growing).

• I handle customer support daily.

• Missing important news from the tech world gives me FOMO.

hey guys,

today we shipped Founder Leaderboards on ExploreYC: ~3,000 YC founders (and growing), deduped across every company they've started, ranked four ways:

What would make you trust an Android keyboard that claims to encrypt your typing before it reaches the chat app? I m testing a different UX: encryption at the keyboard layer, before plaintext reaches the chat app.

The difficult problem is not adding an Encrypt button. It is trust. A keyboard can see sensitive input, so enabling a third-party keyboard should require unusually strong evidence.

If you were evaluating this idea, which signal would matter first?

A. A two-device demo: type encrypt send open offline

Two days out. Vercel Day is this Thursday, July 16, and we want to see what you've been building.

The mechanics, one more time:

AI tools can generate a convincing web-page draft in seconds. The difficult part is usually the handoff: the headline may be too generic, the CTA may not match the real conversion goal, and the middle of the page may not explain the product clearly enough to deliver.

HtmlDrag gives teams a visual finishing workflow for HTML generated by external AI tools. Paste the raw HTML into the Paste Code entry, turn it into an editable page, then select and refine the copy, CTA, colors, visual hierarchy, and section story without asking a non-developer to work directly in source code.

Hey everyone,

I've been building a labelling tool, a desktop app (PyQt6) for capturing and annotating gesture datasets think of it as a companion tool for gesture recognition pipelines like Gesto, making it easier to collect, label, and export hand landmark data for training models.

I'm at a fork in the road on direction, and I'd love your input:

1. Open source it release it freely (currently GPL-3.0), let the community use it, contribute, and shape where it goes.

If you've been following along and would like to support us we would appreciate a star of GitHub: https://github.com/ota-run/ota

A repo can look fine until it is run in a different environment. Native setup, Docker, CI, and remote execution often carry different assumptions, and most teams only discover the mismatch when something breaks.

Ota makes those execution paths explicit so a repo can declare how it should be prepared, verified, and run in each environment.

Where does drift cost your team the most today: local setup, CI, containers, or remote environments?

OpenAI just dropped GPT-5.6, their largest model yet, and we're teaming up with them to get it into makers' hands.

Here's the deal:
- Build something with Sol, Terra, or Luna
- Schedule your launch on Product Hunt for July 23

- The top products walk away with $10k in OpenAI credits

We launched The Eureka Database yesterday, and honestly I did not expect to feel this much.

I did not build this to launch it. I made it for myself and used it quietly for a few weeks to decide what to work on next. Sharing it was a late call, and the response has been way more than I expected.

Thank you to everyone who upvoted, commented, tried it, and told me where it falls short. We made the top 10, finished 5th place in Vercel Day, and we even got featured in Product Hunt's newsletter, The Leaderboard, in an edition called "Steal your next startup." You can read it here: https://www.producthunt.com/news...

Sendr is officially a Semi-Finalist in Pepperdine Graziadio's Most Fundable Companies 2026 one step closer to the Finals.

Building the better way to move money home. More soon.

For the past 3 months, I ve been building a LinkedIn extension that tracks activity and helps users avoid getting restricted or flagged by LinkedIn by quantifying their actions over time.

It s based on a problem I ve experienced myself, and (as bad as this might sound) I m hoping I m not the only one who has this problem.

Wanted to share some data before our own launch, since this took a while to pull together and might save someone else a bad launch day pick.

We pulled every featured product across all 7 days of the week and looked at the median points needed to break the top 5 and top 10 on each day.

Building a presentation in 2026 shouldn't look like this:

Search for inspiration
Write content
Design slides
Fix formatting
Fix formatting again
Fix formatting one more time

We're working on changing that. launching in few days stay tuned!

What's the step you wish could disappear forever?

Any coding agent gives you a working version of a feature in minutes. Ask again and you get another one, also working, slightly different. Working stopped being the filter.

My rule is simple: I ship the version with the fewest moving parts, because I'm the one debugging it at 2am. Speed of writing means nothing against speed of fixing.

What's your filter? Curious if anyone has a better rule than simplest one wins

Hey Product Hunt Tony and Steven here from ClawTeams.

Three days ago we launched ClawTeams, the first goal-driven, proactive AI team for e-commerce. We hoped for a warm welcome. What caught us off guard was how much the comments themselves would end up teaching us. We landed at #1 Day Rank, crossed 800+ points, and picked up over a thousand followers but honestly, the questions in the thread have shaped our roadmap more than any planning doc we wrote before launch. So I wanted to write down what we heard, what it changed, and where we're headed.

When we started NeuralAgent back in April 2025 it was one of the first agents in the world that uses a user's personal computer, not a computer on the cloud, thats what made it to spread to 180 countries and tens of thousands of users in a short amount of time.
Today, I am excited to announce that we are experimenting with something new, something called NeuralOS, it's the next evolution of the Neural experience.
With NeuralOS, intelligence stops being an app you open and close and it becomes the OS itself, it becomes the computer itself, it's always on and always ready. Imagine for example you are now on the gmail interface, and you say 'Hey Neural, send a reply to John here', and it just understands, it just knows and in milliseconds types the reply, asks for your approval and then sends it. Or if you are on an interface and there was an error and you say "Hey Neural, fix this" and it just knows! It just works across any app, any screen, any interface, you call it via a keyboard shortcut or voice and ask it to do something, and it does it in milliseconds.
Now that we have the Neural fast model, I feel now is the time for this experiment.
Stay tuned for NeuralOS! It will be an OS layer that's always on that can run on Windows and macOS and soon Linux as well!
As always, we would love to hear your feedback!
Check out the NeuralOS demo video here:

Everyone perceives entrepreneurship completely differently, and the weight of certain challenges varies from case to case. You always see things differently depending on the stage of life and business you're in, because your position is different each time.

• When I was a teenager my biggest problem was "What will people think of me when I will start doing this?"

• In my early twenties my biggest problem was "What if I can't figure out accounting, taxes, legal stuff?"

• Now I have a different problem how do I scale something?

To me, the simplest answer seems to be building your own business so you don't have to worry whether you'll still be employable at 50 or 55.

But let me use my own country as an example:

• Added Fovea-1, a brand new model our best model yet. Way more accurate search results and better understanding of your files. Big leap in quality from the previous models.

• Added proper folder import you can now drag a folder from Finder onto the app, or use the new "Import folder" button in the add dropdown. It scans the entire folder tree recursively, finds all supported files, shows you a count, and imports them all at once. Brand new before this, you could only drop individual files.

• Fixed raw camera image decoding RAW formats (ARW, CR2, NEF, DNG, etc.) were coming out blurry or completely wrong because the Rust image library was decoding the tiny embedded JPEG preview instead of the full sensor data. Now it uses macOS's built-in sips tool for proper demosaicing, white balance, and gamma correction. Also generates a 1920px WebP preview that the detail view can actually display (browsers can't show raw files directly).

• Fixed the graph view so it actually makes sense the old cluster algorithm tried to tear the graph apart one connection at a time, which just didn't work for big collections. Replaced it with the Jaccard algorithm: it looks at how many shared neighbors two nodes have. If they share a lot of the same connections, they're probably in the same cluster. If they barely share any, they're a bridge between clusters. This finally gives clean, meaningful clusters instead of one giant blob.

• Graph threshold was lying the code logged one number for the edge cutoff but actually used a completely different one. Fixed so the displayed edges and the cluster detection actually agree with each other.

• Thumbnails aren't pixelated anymore on Mac macOS WebKit was treating a CSS flag as nearest-neighbor scaling, making every thumbnail look like a blocky mess. Swapped it for proper smooth scaling. Also bumped the internal thumbnail resolution so they're sharper even before the CSS fix.

• Search won't leave you with a blank page anymore if your search returns zero results, it now shows the 3 next-closest items with their similarity scores so you can click directly to them instead of staring at nothing.

• Search results were showing the wrong scores the merge algorithm was accidentally overwriting the actual similarity score with a meaningless rank-based number, so everything looked like it had the same ~3% similarity. Real scores are preserved now.

• Images load immediately when scrolling there was a race condition where newly visible cards in the grid wouldn't trigger their image load. Fixed so images appear the instant they enter the viewport.

• Graph stays crisp when you zoom the UI zooming the interface made the canvas go blurry because its internal resolution didn't scale with the zoom level. Now it renders at full resolution at any zoom setting.
  Feedback appreciated!