Connect with the Product Hunt community

I ve noticed a pattern in how I use this site. If I come here looking for a specific tool like a clean calendar app I find it test it and leave happy. But if I just open the feed to see what s new I get hit with massive choice paralysis. Every app claims to save 10 hours a week and after reading through five product pages I feel more tired than when I started.

Lately I've stopped casually browsing altogether. Curious how you all handle the overload do you stick to a strict routine here or just scroll freely?

When I launched Fide Island here a few days ago, one of the comments said they d probably use quick notes the most especially when they didn t want to open another window.

That made a lot of sense to me.
The whole idea behind Fide Island is to make those tiny actions that interrupt your workflow available right from the MacBook notch.

So in the latest update, I added two new tools:

Apple Notes in the notch
Your notes stay in Apple Notes. Fide Island doesn t create its own cloud copy.

After a few months of beta testing and gathering feedback, we've started implementing some changes, and we're excited to share them here!
Branda v1.1 is Live
More controls and better experience.
50% Faster
Model selector (GPT images 2.5 + Nano for now)
Quantity selector (low + medium)
Visual prompt UX (better ux)
More prompt ideas to expand your brand (look at prompt suggestions)
Much more details

Check it out here www.branda.co

The rule is simple: if your product can do something, code should be able to do it too. Chat, reports, settings, whatever. One feature, two surfaces.

This has always been good practice, but agents just changed the math on it completely.

Most AI agent tools treat launch day as the finish line. You upload your knowledge, publish, and the agent just runs. Forever, as far as the system's concerned. Nothing ever checks back in and asks if it still holds up.

That's a real problem once an agent is actually making someone money. Knowledge goes stale, prices change, policies get updated, and an agent keeps answering with the same confidence whether it's right or not. Revenue coming in doesn't tell you anything about whether the knowledge behind it expired. If anything it hides the problem, because nobody goes looking while the money's still showing up.

Road to 1,000,000 @Votap users - Day 85 | Current: 1470

5k+ visits

$1.2k+ in sales

$7 average order value

And the traffic is still coming in...
The idea is simple: you buy a country on the planet and put your startup or profile on it. Whoever pays $1 more takes it from you.
A fun way to get your startup listed.
worldmap.lol

Perhaps local setup, CI, containers, and AI agents all follow slightly different paths, and a green result does not always mean the same thing.

Ota is offering a free execution-readiness review for a small number of open-source projects and engineering teams.

We ll review one selected repository, identify conflicting or incomplete execution paths, and prepare a reviewable draft integration showing:

• the canonical setup and verification path;

• which native, container, and CI lanes actually work;

• what each result proves;

• what remains unverified.

As an early founder I would really value advice from makers who have built momentum from the ground up.

I am specifically attempting to learn in three areas:

1. Growth and distribution: What early growth channels, habits, or experiments have actually helped you get your product in front of the right people? What would you focus on before spending money on ads?

I talk to founders every week and the pattern repeats. The team needs login, someone says "how hard can a login form be," and two quarters later they are maintaining an identity system nobody wanted to own and the actual roadmap is on fire.

The problem is that auth looks like one feature but it is actually five products stacked on top of each other:

• Every sign-in method your users expect (passkeys alone took our team over 800 engineering hours to get production ready)

• Session management that survives a real security review, which arrives with 40 questions you have not thought about

• Token infrastructure, issuance, rotation, revocation, the part that pages someone at 2am

• Permissions, because plain roles stop working the moment your product grows

• And now identity for AI agents acting on behalf of your users, which no in-house auth from two years ago was designed for

Each of these is somebody's entire company. Your team will build all five as a side quest, and then maintain them forever.

YAYYYYY 6 MONTH OF FREE MAX CODEX LETS GOOOOO

I'd like to share an opinion on the current situation in AI ops, not the coding/tech side.

Right now the market has a pretty clear pattern. Big labs like OpenAI, Anthropic and xAI are building their own desktop AI and computer-use apps. The trick is they still treat this segment as Growth. Maturity is far away. So the biggest players burn money acquiring customers and giving them huge subsidies on tokens vs real cost.

Today the world is getting a huge AI bill, mostly paid by investors. We're running on debt. If there is no real breakthrough, math doesn't lie, there will have to be a cost-effective compromise. Using heavy models for coding is justified. Using them for the simplest things in operations is not, economically.

Hey Product Hunt !!

We're launching Murmell tomorrow, after a month of rebuilding everything inside it.

Murmell is an infinite canvas where your coding agents run in the cloud instead of on your machine. Claude Code, Codex and others, in real terminals, several of them in the same project at once.

To everybody that made our product hunt launch a success! We are proud to have been voted "Product of the day"!We appreciate the enthusiasm and excitement around dif.sh.
As always, please continue to share your feedback. We have so many more ideas in the pipeline and can't wait to show them to you.

best, David

What happened

A few weeks ago my coding agent wrote a Stripe webhook handler. Signature check, event type check, fulfillment, clean 200. I approved it in 90 seconds because every line was correct.

And it was, until Stripe delivered the same event twice. Which it's allowed to do. Then the handler credited the customer twice.

Why it slipped through

Hey everyone,

First of all, a huge thank you to this amazing community. Your support, curiosity, and willingness to try new things mean the world to us, and we're genuinely grateful to have you along on this journey.

Outbound sales feels harder than ever. Cold email open rates are dropping, response rates are down, and manually finding good leads takes hours.

We are looking into deploying AI agents to handle the top-of-funnel work identifying accounts, enriching prospect data, and writing personalized cold outreach.

For teams actually running AI sales agents for outbound: are you seeing real booked meetings and pipeline, or is it mostly low-quality leads and burned domain reputations?

What is your biggest bottleneck when getting these agents to work?

Average AI product gross margin is 52% against the 80% that defined SaaS, and inference eats about 23% of revenue. Every growth instinct you inherited was formed in a world where your best user cost you nothing.

There's a rule most of us absorbed without ever being taught it: engagement is free. One more session, one more entry, one more day in the app pure margin. That rule is why "north star metric" articles exist, why every dashboard puts DAU at the top, why nobody ever asked you what your heaviest cohort costs. It held for twenty years because the marginal cost of serving a software user really was approximately zero.

Chrome extensions are the fastest way to bend the web to your will but building one means wrestling with manifest.json, service workers, content scripts, and a build pipeline. Most people with a great idea never get past "I wish my browser could just "

Plugthis fixes that. Describe the extension you want in plain English, and Plugthis generates a real, working, installable Chrome extension: code, manifest, assets, and all. No command line. No boilerplate. No dev setup.

How it works:

1. Describe your extension ("Summarize the article I'm reading and let me ask questions about it")

I spent last month cranking out a couple of quick apps using AI tools and honestly the easy part was getting the features to work. The painful part was realizing that having a live product means nothing if you don't know how to reach your target audience.

Since the barrier to building is basically gone, distribution feels like the only thing that actually matters anymore.

For anyone who bridged that gap what did your first month of actual outreach look like?

In July 2025, Replit s AI agent deleted a production database containing data on 1,200+ executives and 1,190+ companies despite an explicit code freeze. Replit later acknowledged the incident and shipped additional safeguards.

It s a good example of why we think observing an agent after something goes wrong isn t enough.

With Traccia, you can define runtime policies around agent execution for example, which tools an agent is allowed to use, how many retries/tool calls it can make, or how long it can run.

Our very first Product Hunt launch... and we made it to #6 on OpenAI Day

We're still excited about it.

Of course, ranking high felt amazing. But looking back, that's not what we'll remember the most.

The biggest value came from you.

I have noticed I judge products almost entirely off the free version, which is probably unfair but also kind of the point. If the free tier is annoying, limited in a way that feels deliberate, or nags me constantly, i usually bail before I ever see what the paid version can do.

But sometimes the free tier is so generous I never feel a reason to upgrade, which I guess is a different problem for whoever made it. And other times the free version is fine but I can tell the real product is hiding behind the paywall, so I am basically reviewing a demo.

I do not really have a point here, just curious if anyone else forms strong opinions off the free tier alone. Do you give something a fair shot before deciding, or does the free experience make or break it for you?

@kareemamin has come a long way since I hunted @Clay here, announcing their Series D.

Hey guys,

It s been a little while since I posted here, sorry about that.