@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

Most agencies are missing a huge blind spot in their client reports right now.
Not because they are bad at their job.
Because the game changed and nobody sent a memo.
More and more of your clients customers are skipping Google entirely. They go straight to ChatGPT or Perplexity, ask a question, get an answer, and click the brand that gets mentioned.
If your client is not getting mentioned? They are losing leads they do not even know exist.
I spent the last few months figuring out how to track this properly and turn it into a service agencies can actually sell. Not some complicated AI audit. Just a simple monthly report that shows clients where they stand in AI search, how their competitors are doing, and what to do about it.
Agencies adding this are charging between $200 and $500 extra per month per client for it. The conversation is easy because the data is new and clients have never seen it before.
I wrote a free playbook covering the whole thing.
What AI visibility actually is. The metrics to track. A script for pitching it. A sample report structure. And a 7-day checklist to get your first report delivered.
Download here.
If you are running an agency and you have been looking for a way to grow revenue without growing your client list, this might be the one.

Hey everybody,

Yigit here! I am developing a personal finance app mainly based on what features I wish an app to have and it is on google play closed test now. Here is a quick summary:
The app's main value proposition is being able to keep track of your expenses 'automatically'. The rationale behind is the fact that in my country banking laws restrict individual's access to open banking apis. That is, you cannot have an API access to your bank to exchange information and keep track of your expenses unless you are corporate. According to my research, this feature is available in US and EU but only with certain restrictions in the latter.

I thought it could be sutaible time to ask the community about their needs about such an app and can guide me a long way before I commit further. Would you be so kind enough to answer below questions? Any replies are appreciated and thanks in advance.

1. Do you use personal finance app?

2. Could you please share your the most essential must-have features of the personal finance app of your choise and tell me why?

3. Under which circumstances would you give another app a try?

4. What would be the ideal price point for such a service in your perspective?

Building a community these days is no longer just about setting up a social media profile or starting a private group on Slack or Discord.

Companies need to differentiate themselves, gain a competitive advantage, and build relationships with clients/users on a more personal level.

I don t mean this in a disrespectful way or anything like that, but throughout my life, I ve come across (and I m sure you have too) several products whose actual usefulness wasn t exactly impressive, but their creators still made a huge amount of money.

For me, for example, it was:

• Fidget spinners (2017). At the peak, the global market was estimated at hundreds of millions to over $1 billion.

• Metaverse land (2021) valuation could be for tens or even hundreds of thousands of dollars each, with the overall market reaching hundreds of millions during the peak hype cycle. I bought one too. :D (actually was scammed).

• Pet Rock (1975) the creator became a millionaire within a few months.

Most people drink coffee when they're already tired. That's the problem.

Your body doesn't respond to caffeine the way you think it does. The timing is almost always wrong and the cost shows up in your sleep, your mood, and your next day's focus.

We built something to fix that and it re-launches in 7 days.

This may sound dystopian, but ever since I watched all the Terminator movies, I can t help seeing the parallel:

People are becoming overly dependent on AI and feeling helpless without it. Almost as if AI slowly takes control of our lives.

When we first started building Murror, I spent a lot of time studying other AI wellness apps. I tracked their features, analyzed their onboarding flows, and mapped out where we could differentiate. I thought our competitive advantage would come from being smarter, faster, or more accurate than them.

I was completely wrong about where the real competition was.

Our biggest competitor was never another AI product. It was the user doing nothing. It was the journal sitting unopened on the nightstand. It was the therapy appointment that kept getting rescheduled. It was the voice in someone's head saying "I will deal with this later."

The moment we understood this, our entire product strategy shifted. We stopped optimizing for feature comparisons and started optimizing for the moment of emotional resistance that split second when someone feels something difficult and has to choose between sitting with it or pushing it away.

The more visible I become on platforms, the more opportunities I receive (not just sponsored ones).

Quite often, people reach out saying they re looking for a marketing co-founder.

And practically every month, there s someone with another revolutionary idea, the next big thing, a multimillion or multibillion-dollar business but then you never hear about them again.

Hey PH,

We're announcing flexible pricing today.

We now look at actual code less and less. What does your developer experience look like now that we are getting closer to a non-IDE world? I am using @Superset and am loving it so far. In my corporate job, I have 10-15 repos going at once and it's all super organized. What are you all using?

My longest experience started in a startup with @minimalist phone: reduce your screentime . (originally a digital detox app for Android, then iOS).

From a marketing perspective, the following worked best for us (almost always):

• paid ads

• UGC videos (also as paid ads)

We thought we were ready.

Bigger deals. Fewer customers. Better margins. That was the dream.

So we built enterprise features. SSO. Advanced permissions. Audit logs. A whole new pricing tier starting at $2,000/month.

We spent 6 months. Three engineers. One dedicated product manager. Endless meetings about "enterprise readiness."

I genuinely love listening to podcasts. It's one of the best ways I've found to stay on top of new trends, pick up strategies I wouldn't have discovered otherwise, and come across founders and operators I'd never stumble on through regular reading.

So I'm always on the lookout for new ones worth adding to the rotation.

For months, we were building features based on what users said they wanted. Feature requests.
Sales calls. "It would be great if you added X."

We built X. Nobody used it.

So we stopped trusting what people said and started tracking what they actually did.

The dataset

Hey everyone! Excited to share what we've been working on.
We just added Virality Score to OpenCut AI, a neuroscience-backed engagement analyzer that grades your video A-F across 7 signals before you hit publish.
How it works
Drop a video into the editor, click "Check Virality Score," and get:
- Hook Strength does your first 1.5s grab attention? (33% of TikTok viewers scroll past in 3 seconds)
- Curiosity Gap is there unresolved tension keeping viewers watching?
- Audio Energy are your levels and pacing right for the platform?
- Beat Sync do visual cuts land on audio beats?
- Face Presence the #1 short-form retention driver
- Emotional Arc does your clip build to a payoff or flatline?
- Viral Potential LLM-powered composite prediction
Each signal scores 0-100, rolls into a letter grade, and comes with actionable suggestions ranked by expected impact.
Why we built this
Most creators publish and pray. The difference between 10 views and 100K views is rarely the content it's the presentation. We used neuroscience research (dopamine prediction loops, orienting response, information-as-reward) to identify what actually holds attention, then built scoring algorithms around real platform data:
- 65% of 3-second viewers watch 10+ seconds
- Text overlays increase view time by 28%
- Videos with 65%+ 3-second retention get 4-7x more impressions

Also in this update: YouTube to Reels
Paste a YouTube URL and OpenCutAI will auto-detect the best 15-90s clips, score each one, reframe to 9:16 with face tracking, add captions, and export ready-to-upload reels. The full pipeline runs locally.
Would love to hear from creators, what signals would you add to the scoring? What's the first thing you'd test this on?

For months, our most requested feature at Murror was a chat function. Users wanted to talk to the AI the way they talk to a friend. It seemed obvious. Every competitor had it. Every feedback form mentioned it.

So we built it.

I m curious what Product Hunt launch results looked like in real terms for people here.

Not just upvotes or comments, but actual outcomes like:

• site visits

• signups

• activated users

• paid conversions

• retention after the spike

If you re open to sharing, it would be interesting to know:

Today, this graphic caught my attention:

It featured individuals who managed to build significant profit while running their businesses solo, without employees. Until now, I ve seen these more as exceptions rather than the norm.

Formally, I studied marketing, but honestly, that stuff from textbooks didn't help me at all. :D (sounds like wasting 5 years of my life, nwm)

The best marketing things I have learned weren't from courses, but through:
own projects

calls with someone better than me