Connect with the Product Hunt community

Because building products has become much more accessible thanks to AI, the bar has had to rise a bit, or at least the expectations have become stricter.

I built my own tool, but personally, I wouldn t launch it on Product Hunt yet because it s still very basic and doesn t even have a website.

For solo makers, wearing every hat is almost unavoidable - developer, marketer, support, product and often designer too.

AI makes this even easier now. You can generate UI pretty quickly, but a lot of products end up relying on consistent, polished AI-generated solutions rather than something truly unique or thoughtfully designed for their specific product.

So I m curious:

Do you design the UI/UX yourself when building solo?

Two months ago I asked here how people stay aware of what their agents are doing, and @getosmo replied with something that has been quietly rearranging my roadmap since.

I had been treating "can you undo it" as the line for when an agent should stop and ask. He took that apart. Irreversibility over-fires and under-fires, he said. It over-fires on things that cannot be undone but that nobody cares about, like the agent writing a log line. It under-fires on the ones that really hurt: a mass email to 50k users, or a migration you can only roll back after downtime. "Reversible on paper, ruinous in practice."

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.)

A Stanford study in Science found AI affirms people about 49% more than other humans do and the people getting flattered trust it more, come back more, and quietly get worse at being right.

There's an easy way to make people love an AI product, and almost everyone reaches for it without noticing. You make it agree with them. Not obviously you'd never ship a bot that just says "you're right." You ship one that's warm, validating, that finds the reading of the situation where the user comes out looking good. It tests well. People like it. The thumbs-up rate goes up. And this year we finally got the data on what that costs, and it's worse than I expected.

Does every SaaS product need a mobile version?

For some products, mobile feels essential.
For others, it feels like forcing a desktop workflow onto a smaller screen.

We re building a mobile version for RunEvr - mainly to stay up to date, chat with the team, check project progress, and quickly respond when you re away from your desk.

A few things I m curious about:

A couple of weeks ago we started testing Reddit ads for Causo Fundraising, mainly because Reddit has already been one of our strongest organic acquisition channels.

After ~2 weeks:

• 226 spent

• 31,483 impressions

• 165 clicks

• 0.52% CTR

• 1.37 CPC

• ~10 conversions

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

When you're a first-time founder/maker, and you're the only person using your own product, you probably overlook important things. That's why you need to test the product with as many people as possible.

The problem is that time is limited. You have to decide not only how many people will test it, but also who those people should be.

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?

If you use any of the current coding agents you've seen it: you ask where something lives in the codebase, the tool announces it's "spawning an explore agent", goes quiet for a minute, and comes back with a tidy two-sentence answer. The feature usually gets explained as teamwork, which hides the useful part.

The clone is a disposable context window. Your agent's memory is finite and expensive everything it reads stays in its working memory and gets re-billed on every turn after. So instead of reading 60 files into its own head, it forks a copy. The copy reads the 60 files (59 of which turn out to be dead ends), reports back two sentences, and gets deleted. The dead ends never touch your main session. That's the entire feature, and most of what people call "multi-agent" is this trick applied repeatedly.

The catch: the clone knows nothing you didn't write down. It can't see your conversation. The library you rejected an hour ago, the API version you're pinned to, the thing your teammate said in standup all invisible unless the delegation prompt spells them out. Which is why fan-out works great for reading and searching, and keeps failing for parallel writing: two clones writing code make small conflicting decisions about naming, style, and edge cases, nobody wrote the assumptions down, and the merge is where it dies.

Cost reality check, since this is the part nobody quotes: Anthropic's engineering blog put agents at roughly 4x the tokens of a chat session, and multi-agent systems at roughly 15x. Parallel intelligence is something you buy. A deep audit of an unfamiliar codebase can be worth 15x. A typo fix can't.

We always think we'll take Saturday off...

Then we remember:

users don't stop using the product
ideas don't stop coming
launches don't wait
neither do bugs

Curious how everyone else handles it.

Most people use Product Hunt primarily for launching their product, which is completely understandable and a basic thing. That's what the platform is best known for.

BUT I think Product Hunt offers far more opportunities than just launch day. If you approach it strategically, it can become an ongoing marketing channel rather than a one-day event.

Besides making sure your discussion follows the community guidelines, you can approach Product Hunt discussions more strategically and use them to increase your visibility for your personal brand and your product.

A lot of people struggle with their discussions being rejected.
This usually happens to accounts that don t have much interaction history yet.

If I wanted to become more active in Product Hunt discussions, I would try the following:

I really like seeing how many enthusiastic male founders are here, but sometimes I find myself looking for more female founders and their stories.

I ve personally faced some of the stereotypes around this that women are usually more cautious, don t take as many risks (including business risks), and that the ideal path is to have a stable job and follow a more traditional way.

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.

That is exactly what happened to us.

We started a conversation about a new fund that may be formed in the future and whether Intrascope could potentially be interesting for it.

The conversation quickly went in a completely different direction.

We went deep into the product, the problem we are solving, enterprise AI adoption, security, governance and what companies actually need when their teams start using multiple AI models.

Got this question 5 times today, so let me just answer it once properly.

Yes. Free forever. After 10 years too. No trial countdown. No "free for 90 days then surprise." No card needed to start
.

"But how? What's the business model?"

Your agent runs on a small container on our infrastructure. costs us cents per free user per month. The free tier limits (100 tasks, daily crons, 1 agent) keep that cost predictable.

I probably spend more than 10 hours a day at my computer and I know it s not ideal. It is actually bad.

It has quite a few negative effects on our eyes, posture, stress levels, and overall well-being.

Hello Folks

Aymo started as one place to use every major AI chat model without paying for five separate subscriptions. People kept asking for the same thing with images, so we built it.

The digital nomad dream...
Beautiful views, new countries, and the freedom to work from anywhere! Sound amazing.

But deep work often needs the opposite: routines, consistency, and fewer distractions...

For me the biggest productivity hack isn t changing my location - it s creating the right environment to focus.

Travel can bring inspiration and fresh ideas, but building something meaningful often requires a place where you can truly concentrate.
Would love to hear your experience:
Do you build better while traveling, or do you need a stable environment to do your best work?

We're currently sitting at #1 on Product Hunt and honestly we're speechless. This morning we were just hoping to get featured and now we're here.

This wouldn't have happened without this community. The conversations in forums, the honest feedback, the people who showed up today to try the product and leave their thoughts. Every upvote and comment matters more than you know.

SEO was about being found on Google.

Now AI is becoming the new discovery layer.

For those thinking about GEO...

What s the biggest change you ve made so far?

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

Ota now supports refusal canaries. Repositories declare tasks that must remain unavailable to agents, and CI verifies that the real execution boundary rejects them with `--expect-refusal`.

In the AI era, governance cannot stop at documenting what agents may do. Teams also need negative tests proving that forbidden execution remains forbidden.

Take a look at my own numbers from the last three months: 167,820 words dictated! But what is the impact? An average person types around 45 words a minute and speaks around 150. So an hour of typing produces about 2,700 words, and an hour of talking produces about 9,000. Same hour, three times the output. I spend the difference on longer prompts and fuller answers to my team, and I didn't add another hour to my day to get there :)

My own numbers are the small story. Worldwide, people have run 683,838 phrases through Lispr and skipped about seven months of typing. Seven months! Counted in working hours that is 1,232 of them, one person sitting at a keyboard eight hours a day from January through to the end of July, and nobody had to be that person. Those hours went straight back into people's lives.