Connect with the Product Hunt community

Notice posted to their website:

We recently submitted a confidential S-1. We expect it to leak so we re just announcing it. We have not decided on timing yet; it may be a while because there are things we want to do that are likely easier as a private company. But it s a complicated set of tradeoffs and this gives us the option to go public sooner if that ends up being best.

This announcement is being made pursuant to Rule 135 under the Securities Act of 1933, as amended, and does not constitute an offer to sell or the solicitation of an offer to buy any securities. Any offers, solicitations of offers to buy, or any sales of securities will be made in accordance with the registration requirements of the Securities Act.

"By 2030, OpenAI projects that ads will be the single biggest revenue driver of its business . CNN via The Information

I had 11 tabs open just to book one appointment.

The clinic's website is broken. The second number rings forever. The third transferred me to a voicemail from 2019. I've been at this for 45 minutes. The appointment itself takes 20.

The Shai-Hulud / Miasma worm has been quietly pushing itself into people's GitHub repos including real, well-known OSS projects where it auto-runs the moment you open the repo in an AI editor (Claude / Cursor / Gemini / VS Code) or install it, then harvests your tokens. It lives in the GitHub source, not the npm registry, so a lockfile audit never sees it. octoscope already points at the repos you own, so this release teaches it to look. @icflorescu

What it catches

On a Repos row, open the action menu (space) and hit Security scan (s). It matches the invariant of the attack instead of a single payload filename because the worm renames its dropper the week after you blocklist it, so a renamed variant still trips it.

Added a few new features:

Spotlight
Auto zoom + cursor tracking (can also be controlled manually)

Last quarter, we built a feature at Murror that our engineering team jokingly called "the empty room." After a user finishes a journal entry, the AI doesn't immediately respond. It waits. For 30 seconds, the screen shows nothing but the user's own words and a gentle prompt: "Sit with what you just wrote."

No analysis. No reframe. No pattern recognition. Just silence.

@Wispr Flow launched on Product Hunt back in 2024. Since then it has become one of those tools that quietly sticks. It's the AI dictation tool a bunch of us here use day to day (yes, there are still a few people committed to typing everything out). It works anywhere on your Mac or PC, so you can just talk and have clean text land wherever your cursor is.

For the next three days, it is showing up on the leaderboard in a different way. From April 14 to 16, you can upvote and comment on Product Hunt using Wispr Flow directly. If you use dictation, those upvotes and comments will carry a bit more weight. Try it out by clicking the Wispr Flow unit on the Leaderboard and telling it to upvote a product name

I spent 8 years as a VC. Invested in 47 companies, read thousands of decks, sat through hundreds of pitches.

And the whole time, from my side of the table, I kept noticing the same thing. The founders struggling to raise usually didn't have worse ideas. They were the ones who couldn't get in front of the right investors, or were emailing the wrong ones with the wrong message.

VibeAround v0.6.3 is out.

This release wraps up the bigger v0.6.x shift: VibeAround is becoming a hub for coding agents across desktop, web, terminal, and messaging.

The biggest visible change since v0.5.x is the Web experience: it is now a web-based workspace for running different coding agents side by side, one place to launch, resume, inspect, and switch between agents.

From the browser, you can now:

Hey Product Hunt family!

Just wanted to share a little "behind the scenes" pain from the OptiClear launch. We all know the Apple App Store review process can be a rollercoaster, and I definitely hit a loop.

I had built this sweet "Invite a Friend" feature. The logic was simple: generate a code, share it with a friend, and both of you earn free premium days. A classic, organic growth loop, right?

Well, Apple hit me with a rejection. Apparently, unlocking premium features outside of their standard In-App Purchase flow (even as a reward) is a big no-no.

People always say they want simple products. Bloat is a big reason people dislike products and migrate away from existing tools. But I don't think that bloat comes from having too many features. Instead, it's mostly a UI/IA problem.

This is something we think about a lot at @Basedash. Analytics and BI can get complicated quickly: permissions, SQL, charts, dashboards, filters, joins, data sources, teams, sharing, alerts, and so on. We can t remove all of that complexity, because real teams eventually need it. Instead, we're trying to figure out how/when to reveal that complexity. Filters only appear if you ask the AI. Access controls can get super fine-grained, but only if you start inviting more teammates.

Vercel Day is tomorrow May 15 and if you've been sitting on a launch, this is your window.

Schedule your Product Hunt launch for Friday and be sure to add the Vercel Day launch tag to be included on the official Vercel Day leaderboard. That's where the eyes are going to be. Here's what's on the table for top launches:

When someone journals on Murror, our AI doesn't just process text. It reads emotional weight. It picks up on patterns the user might not see yet -- the way their language shifts when they talk about work versus family, the recurring themes they circle back to every few weeks, the gradual change in tone that might signal something deeper.

We built this because it makes the product better. The AI can ask more relevant questions, create more meaningful reflections, and know when to give space versus when to gently prompt.

We ve all been there: the engineering team ships an incredible feature, the marketing team blasts the launch, the metrics show a temporary spike in usage-and then... nothing. Silence. The feature slowly turns into product debt, and the actual value delivered to the user drops to zero.

As builders, we are constantly obsessed with shipping. We measure velocity, sprint completions, and launch dates. But somewhere along the way, we forgot to measure whether the things we build actually move the needle for our users bottom line.

We just shipped something new on Product Hunt.

Ask Product Hunt AI is a way to explore launches, products, and discussions without digging through pages or trying the perfect search query. You can just ask a question and it pulls from everything happening on the platform products, comments, makers, all of it.

Looking for tools in a specific space? Want to see what people are saying about a launch? Trying to find something you saw last week but forgot the name of? Just ask.

Building a team or want to join a startup?

Founders, teams, and startups drop a comment if you're hiring.

Hey Product Hunt

Almost 6 years ago, @Mailwarm launched here.

Back then, the idea was simple: help teams warm up their inboxes and build sender reputation before scaling email.

That launch changed a lot for us.
Mailwarm became #1 Product of the Day and Product Hunt helped us get our first real wave of visibility, users, and feedback.

This Monday, The Incident Challenge is back.

New challenge. New product updates. Built directly from your feedback.

Last time, only 20% reached the correct fix.

Greg Isenberg (https://x.com/gregisenberg/statu...) asked what every SaaS tool looks like if it was built purely for agents.

That question stuck with me because I think collaboration is one of the biggest categories that needs to be rebuilt.

Most tools today are still human-native:

• Slack is for humans messaging humans

• Linear is for humans managing work

• Notion/Obsidian are for humans organizing knowledge

• agents are still trapped in terminals, browser tabs, and private chats

One thing I keep noticing is that almost everything can feel important when you are building.

Posting content, talking to users, improving the product, replying to comments, checking analytics, fixing small bugs, testing new channels, networking, reading advice, watching competitors.

All of it can be useful.

But not all of it moves the business forward at the same stage.

A lot of makers come out with bold claims about their idea: THE NEXT BIG THING.

In most cases, surprisingly, it s not even the next small thing. People simply don t notice it.

Not long ago, we had a discussion here about the qualities that make an ideal CEO or founder.

I really enjoyed seeing how you expanded the list in the comments.

Now I'd like to flip the question around.

Broken only by my trip to Burning Man in 2023 after which I got back on Product Hunt on September 8, 2023 I just hit my 1000 day streak again.

Which is a curious milestone, given that there was a day back in April where Product Hunt hit over 1000 products launched in a single 24 hour period.

We had a comment in our codebase that said SQL Server doesn't handle pagination well, so we should just avoid pagination for now. And it did exactly that: shipped the entire result set to the browser and let it sort itself out. Same deal for Spanner.

A lot of Basedash is just "run the SQL the user wrote, show the rows." We support 10+ dialects (Postgres, MySQL, BigQuery, Snowflake, Athena, SQL Server, Spanner, and friends), and every query gets paginated because we can't stream a 12M row result set to a browser.

Recently I heard about a bold claim that's hard to ignore:

"Software is a commodity. Distribution is the only moat left."

And the data is starting to back that up.

I was reading this recent @OpenAI article about Gartner naming OpenAI a Leader in enterprise AI coding agents: https://openai.com/index/gartner....

"Software development is becoming more agentic." This is a good summary of what is happening right now. We are moving from AI that helps you write faster, to AI that can take over tasks (actions, use tools, make changes, run tests, and bring the work back for human review). That is a very different behavior.
The article gives Cisco as an example. They used Codex for a big part of their AI Defense platform and reduced delivery time from several quarters to a few weeks.