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  SafeLimit, 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?

We just shipped Projects in Osaurus and it fixes one of the oldest annoyances with AI chat apps: starting from zero every time.

You re expected to remember everything you did months ago.

Especially the unplanned work.

• That production incident

• The weird bug you spent an entire afternoon debugging

• Teammate you helped unblock

• Investigation that never became a Jira ticket

• Small improvement that saved everyone time.

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.)

Not "I prompted it to generate code and then edited it for three hours."

I literally mean: I typed what I wanted, sent some screenshots when things got complicated, and by the end of the afternoon I had a live website - copy, my actual Instagram posts, engagement data, a full documentary film section pulled from five different sources, and a published URL I could send to someone.

The wildest part wasn't the website. It was the Meta developer portal moment.

Instagram blocks unauthorized requests, so the agent explained how to connect via the Graph API. I told it upfront: "Explain it simply. I'm not technically skilled." So I just sent screenshots and it told me what to click, what to select, what the error meant. Getting from first screenshot to working token took under 20 minutes. The credentials got stored in a Cluing Connector, encrypted, reusable.

The one where Skim stops pretending that Microsoft owns exactly four domains on the entire internet.

New

• Work & school accounts are finally recognized. If your company lives on Exchange Online, Skim now asks your domain's MX records who really hosts the mail. Everything Microsoft runs answers on *.protection.outlook.com, so the sign-in button that actually works shows up on its own no more falling into the manual IMAP/SMTP form to guess hostnames that were never going to connect. (Yes, hotmail.de too. Sorry it took a whole minor version to notice Germany exists. )

• Behind a mail gateway? Proofpoint and Mimecast tenants don't advertise Microsoft in MX at all, so unknown domains now get one quiet "Work or school account?" line instead of a shrug. One line. We counted.

• The DNS probe goes through the machine's own resolver (DnsQuery_W) your domain never visits a third party, results are memoized, the whole thing is capped at 3 seconds, and if it fails the screen looks exactly like it did before.

Fixed

We just launched the Linux version of SKI! You can grab it now at heyski.io.

We built this because a bunch of you asked for it, and we're excited to finally get it into your hands. It's still early days for this release, so expect some rough edges.

We'd love your feedback - good, bad, or ugly. Drop it in our Discord https://discord.gg/5ZM9yrkKKQ or right here in the comments. Every bit helps us make SKI better.
We also have a blog and tutorial section on our site to help you make the best use of SKI!

Thanks for checking it out, and happy skiing!

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

We tried an experiment with Cloud World Model today.

We gave Grok access to our API and asked:

Try the GitHub-Inspired Cascading Retry Storm scenario and tell me what happened. Why did the outage occur?

I ve always found it interesting how different people s careers can turn out compared to what they originally studied.

Especially in the startup and tech world, there are so many people building products in fields that have little to do with their formal education.

So I m curious:

What did you study? And what are you doing now?

I know there s a p/introduce-yourself topic here on PH, but honestly, it s hard to meet everyone there.

So let s do it here.

Who are you?

What are you working on?

Hello guys, here is my question :

what project will you do with infinite AI tokens

Passkeys are objectively better than passwords.

Phishing-resistant, nothing to forget, nothing to breach, no password database to leak. the case for them is pretty airtight. and yet most products still default to email and password. most users have never set up a passkey. most developers have never shipped one.

Would love to hear thoughts.
Here's my perspective.
I'm against AI slop, but I'm not against AI. I believe AI is a great tool but it also needs greats pilots to use it well. This is what I'm working on. AI Fluency.

Biggest marker of AI fluency is AI judgement. Where and when to use AI and where and when not to.

BAD AI JUDGEMENT

We wanted to come back and say thank you, properly.

Since launching here, Kopai crossed 150 users, and a lot of that traces directly back to this community. The upvotes mattered, but the comments mattered more: several of you asked sharp, specific questions that are already shaping what we build next.

I ve been guilty of always posting about the good stuff, achievements, awards etc. But as a founder who s largely bootstrapped, I have experienced how frustrating it is when you are trying to scale your own thing and all you see are milestones and achievements but no way to know how to get there.

So today, I want to share how we reached from 0 to 4000+ users on AI Context Flow. The good, the bad, the ugly.

1/ Your first users are always door to door

Hitting publish feels exhilirating, but the real work starts afterwards. Our first 200 users were door to door. I called my school friends, my ex-colleagues, my university mates, people I met on networking events. Anyone that (kinda) fit my ICP and would respond to my message.

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.

We spent three months building an open-source, local-first AI work journal that captures daily activity and turns it into clear timelines, worklogs, and updates. Yesterday, the Product Hunt community helped it reach the top position.

Thank you to everyone who supported the launch, shared their experience, left a comment, or recommended Meridian to someone else. The launch is over, but the work continues. We are reviewing what people shared and improving the onboarding, activity timeline, and drafted updates.

If you have tried Meridian, we would value hearing honestly what worked well and what still feels unclear.
GitHub: https://github.com/Meridiona/mer...

Product Hunt: https://www.producthunt.com/prod...

We use AI to improve something in the process (mostly to speed up the process).

But whenever I see and suspect that something is generated by LLMs, I feel that the person on the other side has slopped it a bit (and subconsciously I perceive it as "something less").

I just scheduled my first ever Product Hunt launch for August 20, and honestly, I'm not sure what to expect

For those who've launched here before:
What do you wish you knew before your first launch?
What actually matters on launch day?
Any mistakes I should avoid?

Would love to hear your experiences and advice!

One of the experiments we tried while building Clipto MCP ended up being way more fun than expected.

We had indexed around 1,000 clips from Elon Musk interviews in Clipto. Instead of giving Claude a specific editing task, we basically asked: What would be something fun to make with all this footage?

We often hear that users want fewer tools, fewer tabs, and everything in one place.
But does that really mean they want an all-in-one product?

There s an interesting trade-off between all-in-one and best-in-class.

There s probably a line where an all-in-one product becomes too complicated.

Adding more features can mean fewer tools, less context switching, and a more connected workflow.

I am soooo excited about this update. Niche. Specific. Adds actual value.

We're introducing Personas, Focus, & Slash Commands for Pretty Chat.