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I used to think a thorough pricing page was essential for building trust. Our had multiple tiers a 14-row breakdown, and answers to every question imaginable.

Out of frustration I cut all the noise and left just one straightforward offer on the page. The result? Our sales went up significantly.

It felt like users were previously getting overwhelmed by the choices and leaving to "think about it."

I posted my repo and got downvoted instantly. People called it pointless.

Six weeks later: 400+ stars, 5 pull requests from strangers, and a sponsor.

No viral thread, none of it came from aggressive self-promotion.

My honest take, online comments are heavily biased toward critics who like to tear things down fast.

Finding good tools here is easy, but sharing them with people in real life is hit or miss.

My non-tech friends don't really care about new productivity apps and my teammates usually prefer sticking to what they already use.

I m curious if you guys post your finds on social media share them at work or just keep a private list for yourself?

I keep finding new AI tools on Product Hunt that look useful but after trying a few I usually end up going back to the same 2 3 tools I already use. I m curious if other people have the same experience. Are there any AI tools you discovered here that actually became part of your regular workflow and what do you use them for?

I spent most of my budget building the product and have almost nothing left for marketing.

For anyone who has been in this situation, how did you get your first users without spending money?

Imagine an infrastructure agent detects a failing service.

It decides to restart instance A.

We read both vendors' documentation and the recent work on looped transformers with three questions: what does a model's reasoning cost, what can you steer, and what can anyone read afterwards. The answers sort into three places.

On the page, as visible text. You pay the output rate, you steer it with the prompt, and you can read it, though studies show these visible traces are often unreliable.

Off the page, as hidden tokens. The example in OpenAI's own guide shows 1,186 output tokens charged, 1,024 of them reasoning; you pay for every one and the text stays with the vendor. Anthropic's docs show the same: you're billed for full thinking tokens whether shown or not. The rate is the same, the steering is an effort knob in place of a prompt, and what you can read is at most a summary. The exact count is in the usage object, and on the newer models earlier turns' hidden reasoning stays in context and is billed again as input.

Inside the network, as extra passes through the same layers, which is what recurrent depth means. Compute rises per token, the token count does not move, and there is no text for anyone to read, the vendor included.

Old design: three-column format, checkboxes included, mid-tier highlighted. Traditional. Conversion was about 1.8% between viewing the page and trial sign-up.

The copy was rewritten as narrative form. One sentence per plan that outlines what it is meant for, how I'd describe it if explaining it to someone at a meetup. "If you're just one person working on side projects, go for this. If you've got a team and need some accountability as to who made changes, then this plan is for you." Table included for those who would like the specifications.

Trials increased to 3%. Small sample size, four weeks long, so can't say anything about causation.

Thought this would be interesting for anyone who has tried pricing in plain language, helped you, seemed unserious to enterprise clients?

I sat down and wrote a five-email welcome sequence and felt pretty good about them. But then a friend said she would read them aloud to me over the phone.

I got about two sentences into the first one before I stopped myself. "We're delighted to have you here" is a sentence no one would ever say out loud. "Let's dig into why this is amazing," too.

For those who run fully autonomous agents without any human in the loop, how do you manage to sleep at nights? Are your guardrails so good that you're sure nothing will go wrong?

I ve been thinking about the word intuitive lately.

We often say a good UI should be easy to understand without much explanation.

But in B2B products, especially when the product itself is complex, I m not sure that s always realistic.

Sometimes the interaction is simple, but the concept behind it still needs to be learned. Adding more guidance can help, but at some point the UI starts feeling heavier because we re trying to explain everything.

I joined product Hunt recently and feel a bit lost. between daily launches, upvotes, collections, and comments, it is hard to tell useful tools apart from products that just got votes from friends.
I am also unsure about the general etiquette. is lurking and upvoting standard, or should i be commenting? Do makers reply to questions from new users?
How did you navigate the site when you first joined? What habits help you filter out the noise and spot genuinely good tools?

Got a one-star review this morning. The whole thing was one line: no 12-hour option, only 24-hour, uninstalled.

He was right. My reminders app shows times in 24-hour format and never checks what the user's phone is set to. I'm from Uruguay. Here everyone uses 24-hour. It genuinely never crossed my mind that it could be a problem.

One thing I ve found hard while building a SaaS is knowing when slow progress is normal and when it s actually a sign that something needs to change.

Some weeks you ship things, fix bugs, improve the product but the numbers barely move.

It s easy to look at that and think, "maybe this isn t working."

But sometimes you just need more time. Other times, you probably need to change something.

I spent most of last year replacing my own team's manual work. The one that changed everything: a daily pipeline that generates the videos, converts them to GIF with FFmpeg, burns in the logo, watermark and caption, then publishes across 36 client channels. Nobody touches it now. It used to take three people a full morning.

The strange part is that I miss the morning. There was a rhythm to it.

What did you automate, and did you miss any of it?

I have noticed I get a little self-conscious when someone walks past my desk while I am browsing software releases. Not because it is embarrassing, but because if someone glances over and sees a wall of tech launches, they will probably assume I am obsessed with chasing the latest hype.

In reality, I just enjoy finding simple tools that fix small daily annoyances. Explaining that in five seconds never feels worth the effort, so I usually just switch tabs or minimize the browser window.

Does anyone else keep this habit to themselves, or am I overthinking it? And if someone actually asks what you are looking at, how do you explain it without sounding like an infomercial?

When you push a link into a read later queue the immediate sense of satisfaction trickles away and the motivation to digest that long post drops to zero.

Over time that reading list turns into a heavy task list that feels more like homework than casual learning.

I ve noticed a pattern in my daily browsing: whenever I find a long form breakdown or a technical post I like I just leave the browser tab open instead of moving it to a saving app.

In theory dedicated bookmarking tools sound like a great way to stay organized. But in reality, sending a link into a read later app usually means it gets buried under hundreds of other saved items I'll never open again.

I've tried both and I'm still not sure which I hate less.

The all in one approach is nice because everything is in one place. Notes, tasks, docs, databases, whatever.

Then eventually the app starts doing so much that I feel like I'm managing the system instead of actually using it.

So I split everything up again, end up with six different apps, and then complain that everything is scattered.

It is been a very common thing for me now. AI is very good for developing applications. But, AI has a very weird thing of forgetting everything even if it is written just above.

When I was starting out, this was the thing that costed me a lot of my time. It literally took me 2-3 days to realize certain errors which made me feel, "how can I develop applications if I do not realize this error existed?".

I counted recently and realized I have a ridiculous number of apps, bookmark folders, and extensions I have opened maybe once. There is this weird little rush in finding a neat product, almost like collecting it is the actual activity, regardless of whether it ever fits into my real work.

Meanwhile, my daily setup relies on maybe five core tools. Half the stuff I got super excited about on launch day is just sitting there gathering digital dust.

I doubt I am the only one doing this, but I am curious how you deal with it. Do you do periodic purges to clear out the bloat, or do you just let things pile up on the off chance you need them later? Is the search simply more fun than the actual utility?

My phone and laptop are full of apps I opened once, thought were neat, and never touched again.

It is hard to tell whether a product was not useful or if I just did not need it. Some polished tools gather dust, while rough utilities end up in my daily routine. Trying everything might actually make it harder to find good tools because nothing gets a real chance.

How do you handle this? Do you have a rule for what gets a permanent spot, or do you just treat most apps as a ten minute test?

Maybe it's just me, but this happens constantly. I'll open a launch page, read a tagline like "your daily workflow, reimagined" or "the intelligent layer for modern teams," and realized I still have no idea what the software actually is.
I end up having to scroll way down just to find a basic sentence explaining it in plain English.

It is not even the buzzwords that get annoying, it is how hard some products work to avoid saying what they do. If a page just opened with "this is an automated scheduling app," I would immediately know if it matters to me or not.

Standing out is tough, but I catch myself bouncing off pages entirely just because I cannot parse the concept in ten seconds.

Does this happen to you too, or do you ignore the copy and just figure it out from the screenshots?

I started upvoting a lot of products that looked cool, but I realize I rarely open them past the landing page. It feels a bit odd, almost like I'm giving a full endorsement to software I've never tested.

To me, an upvote feels more like saying "this concept is neat" rather than "I personally vouch for this." But at the same time, I catch myself feeling a little guilty about giving a thumbs up and then instantly forgetting the app exists five minutes later. Realistically, nobody has time to download and test every single launch.

How do you approach this? Do you upvote freely on potential alone, or do you strictly save your votes for tools you have actually put to work? I am trying to figure out the general consensus so I am not throwing votes around blindly.

I've been browsing for a few weeks now and I keep hitting the exact same issue. I see a tool that looks super useful, close the tab, and then completely forget what it was called two days later when I actually need it.

Right now my organization system is pretty much nonexistent. I just hope I'll magically stumble across the product again, which almost never happens. I know some people keep dedicated lists, but I'm trying to avoid turning a quick daily check into a massive homework assignment.

How do you handle this? Do you just drop links into a bookmark folder, dump them in Notion or a simple notes app, or is there a built-in feature I'm missing entirely? I'd love to know what actually works for people without feeling like extra overhead.