Connect with the Product Hunt community

For me, it's usually Downloads.

Thousands of screenshots, random PDFs, ZIP files, invoices, images, and files named things like:

final_v2_FINAL_really_final.pdf

Whenever I launched something in the past, hardly anyone knew about it. Looking back, it was mostly because I was afraid to talk about what I was building.

Fortunately, I've grown out of that. These days I talk about my product much more (maybe even more than I should ), and it's made a huge difference in getting it noticed.

I wanted to share a few things that worked surprisingly well for my Chrome extension (a LinkedIn activity tracker that alerts you before you hit LinkedIn's limits and trigger account restrictions).

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:

You can either restart the app manually, or the auto-updater will do the job for you in a few hours :)
(FYI: The auto-updater polls every 6 hours, and it has been made opt-in)
The Changelog is as follows:

Please note: I have hot-fixed the app to version 2.1.1 after I noticed it did not receive Fable context windows properly. It should work properly now.
Reason: Fable's context is set to a default of 1 million by Anthropic, so it does not report any context window data. Tablo does not find a context field for fable's session and falls back to the default value of 200k.

While many people were slowing down for summer, our developers were doing the opposite - shipping more than EVER.

Meanwhile, the rest of the team (incluing me ) was busy exploring what's next, testing new ideas, and contributing our own thoughts on how Cluing can evolve.

All of that resulted in 3 product updates in July, bringing new improvements to the way you capture, organize, and work with knowledge in Cluing.

Obviously, both are critical for survival. But which one actually moves the needle?

On one hand, you can prepare an incredible go-to-market strategy, but what good is it if your execution falls flat? If you don't have time to be consistent, your messaging is confusing, and your visuals are boring, nobody stays long enough to care about your plan.

Hi Product Hunt. I am Elitza and I am the founder of own.page. We launched on Product Hunt 20 days ago, and since then, it has brought us more than 1,900 signups.

I waited a long time before launching own.page here. Not because I didn t want to, actually, I wanted it a lot. But Product Hunt always felt like one of those big platforms where, if things go well, it can really change the momentum of a product. And because of that, I kept delaying it. For more than 6 months. I was thinking too much. What if the day is too competitive? What if nobody cares? What if we launch and nothing happens?

On X, I often saw people saying Product Hunt is dead. That it doesn t bring traffic anymore. That launches don t matter like they used to. But still, I wanted to do it no matter what people are saying. Before this, I had launched own.page on smaller launchpads. And yes, they helped. They brought some users, some traffic, some attention. I m grateful for that. But honestly it was nothing like Product Hunt.

No judgment, genuinely curious. How many of us asked ChatGPT for app ideas at some point, then ended up building one of them, or half-building it? The line between "my idea" and "the model's idea" got blurry this year. Where did your current project actually come from?

Thanks again to everyone who supported the MinkNote launch 13 days ago. The feedback was really positive, and it s already changed what I m building next.

What I learned

After 38 comments, one theme clearly stood above the rest:

From January to June, we honestly weren't sure.
We had users, initial validation, but essentially what we had was a bet: that people wanted portable AI memory. A place to keep the files, the chats, the notes, the little highlighted snippets that actually matter, and carry them anywhere to any AI.
But a bet is just a bet.
For six months we watched, and we hit 10,000 memories, and we kept asking ourselves the same question. Are we actually building something people need (at scale)? Or is it just one of those things where the problem/solution feels really valid for some time and then the ground shifts.
But in june, something shifted.
In the last two months, people didn't just show up. They went deep. We added 20,000 more memories, reaching 30,000 total. Some of our power users now have entire knowledge bases living in AI Context Flow, 500+ files and counting, turning scattered context into something they can search, reuse, and build on.
That question we kept asking ourselves? The usage is starting to answer it for us.
We know 30,000 is still early. But watching that curve bend upward, after months of not being sure, feels like the first real signal that portable AI memory is something people genuinely want.
We're excited doing a little happy dance here And honestly, we're just getting started.
If you carry your context between AI tools today, I'd love to know how.
And if you wanna try AI Context Flow, here you go: https://app.plurality.network

Bond secured #1 Product of the Week on Product Hunt earlier this summer and we ve decided to leak our exact playbook.
Join us on August 13th for a workshop where the Bond team will reveal exactly how we earned more than 800 upvotes in 24 hours without ever dropping below the top spot.
You ll leave with:
- A step-by-step launch timeline, even if you re on a time crunch
- The exact assets to prepare
- A launch-day checklist and distribution plan
- Access to a private community of founders preparing for and sharing advice on Product Hunt launches
We ll also give direct feedback on your upcoming launches and end with an open Q&A.
Sign up HERE
PS. Want research-backed productivity lessons from the world s highest performers, behind-the-scenes Bond updates, and first access to playbooks like this one? Join our newsletter and learn how to win back 10 hours every week.

Over 400 products launched for OpenAI Day. Five walked away with $10K in OpenAI credits, all built on GPT-5.6.

Teable 3.0 Point it at any system, migrate the data, get working AI workflows and custom apps out the other end.

When launching a product, offering a free plan feels like the obvious choice. More users, more feedback, lower friction. But at the same time, charging from day one gives you a completely different signal. People who pay often use the product differently, give different feedback, and help you understand what they truly value.

The challenge is that both approaches seem to make sense.

A free plan can help you grow faster. Charging early can help you validate faster. There probably isn't a universal answer and it depends on the product, the market, and what you're trying to learn first.

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

Daily reality: Claude Code in one pane, Codex in another, Cursor in a third, plus a few shells. An agent stops and waits for "yes". By the time I find the right pane, 20 min gone.

Just me? What's your setup notifications, layout tricks, or you've accepted the tax?

How do seed investors decide who's worth backing, when there's not a fully proven commercial model yet?

On August 10, we're sitting down with Liz Wessel, a seed-stage investor and Partner at First Round Capital, to unpack exactly that.

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

Ran the same comment through four threads over a month and only one kept generating views weeks later. The difference was not the reply count in the first hour, all four got at least one. It was whether a third person with no connection to me or the OP joined within the first two or three days without being asked.

If it stays just me and the OP going back and forth, that is engagement, not compounding. The one thread that kept going had someone unconnected join inside 48 hours, and that window is also roughly when the other three had already gone flat.

Curious if anyone else tracks this specifically, or if there is an earlier signal worth watching for before the third person even shows up.

It doesn't even have to be a big dramatic failures, more the small moments where something clicked and you went from trusting the output by default to double checking everything. For me it was watching an agent confidently rename a function across twelve files, then leave the original function untouched in a thirteenth file it apparently didn't search, with zero indication anything had been missed. It wasn't even a hard case, the file just wasn't in the directory it happened to grep first.
What was your moment? And did it actually change your workflow afterward, or did the trust creep back in after a week like it always seems to for me?

In other words... what are your capabilities?

What are your multi-project management skills?

I believe that when launching a product on Product Hunt, you should focus on one main feature and two supporting features that help bring the whole idea together.

When I see a new product with too many features and the whole tool feels complex, I start to lose my understanding of what it actually does.

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.

Yesterday, you contributed a lot to my discussion about not sounding too salesy.

But that's not the only problem the early founders have.

We re relaunching Heym, an AI-native workflow automation platform for building, running, and improving agentic workflows on your own infrastructure.

Start with our Product Tour for an end-to-end look at the platform. Our YouTube tutorials cover practical workflows and features, including AI Convert, MCP, boards, templates, dashboards, and tracing.

The one where Skim stops reading the CSS and starts reading the letter. A tiny release: one fix, one heuristic, zero new buttons.

Still standing on @gildas-refacto's shoulders

All of v1.0.19 was theirs #30, their fourth merged PR after #16, #18 and #29, where they traced three separate translation bugs down to individual Unicode code points and measured every fix over 20 runs.

Which made this release slightly embarrassing to write: they spent all that effort making the translation trustworthy, and it turns out we were sometimes not offering it at all. Fixed below. Thank you again.

Fixed

• The Translate chip shows up on mail that needs it. Some senders build their plain-text version by ripping the tags out of their own HTML <style> element included so the email "text" opens with a few hundred characters of .bio{margin:auto}. Skim guesses the language from that text, and on one real newsletter 72% of the sample was CSS: the guess came back "not confident", and a perfectly English email got no translation offer in a Russian UI. Braces are not a language.

  Now a leaked stylesheet gets removed first and since the language guess runs fresh on every open, mail already sitting in your database is fixed too, no resync required.