They say the best investment is in your health. (I agree, although I have to admit I don t really stick to that myself.)
Right now, health is mostly being supported at the level of:
physical fitness (workout apps, weight-loss tools, smart devices for heart-rate tracking, step counters) mental health (e.g., digital detox apps, a personal therapist in your phone) longevity (more of a long-term process, experimenting across different areas)
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 in public is important today. It helps you build a community, get feedback, and create traction around your product. But creating content to share every day shorts, posts on X, LinkedIn, Instagram can quickly become boring and very time consuming. By recording your meetings with Prodshort, you get content ready to share: Shorts, X posts, LinkedIn posts... You keep things authentic, because the AI documents what you actually do and doesn t create fake content from scratch. Your real progress, your real discussions, your real decisions become things you can share.
It makes build in public much easier. You can share updates about your project directly from your calls: progress, ideas, feedback, small wins... Stay consistent with your build in public without adding extra work to your day !!
YC-backed @Mintlify (YC W22) just announced a $45M Series B round, bringing their total funding to $67M, to "accelerate [their] mission of building the knowledge infrastructure for AI."
Read in their blog announcement:
Mintlify now powers documentation for over 20,000 companies, with content reaching more than 100 million people every year. This round accelerates our mission to become the knowledge layer that makes products understandable, usable and discoverable by AI agents.
Trophy is now powering over 24M streaks which is kind of crazy to think about considering we only launched 1.0 here in January this year. One of the parts I find most interesting about building horizontal infrastructure is that as you scale and power more and more products you get to see insights that most teams building in isolation will only see a part of, and you can use those insights to make the the infrastructure better for everyone. For example, because we power streaks for so many users, Trophy can tell that 25% of all streaks are lost on a Friday, closely followed by Saturday (19%) and then Wednesday (18%).
ClawOffice was a bit of a gimmick - a 3D virtual office for AI agents. It was fun to build and got some attention on launch, but let's be real: it didn't take off. People thought it was cool for a minute, then moved on. No real retention, no real problem being solved.
Here's what I actually learned from it:
Novelty value. A cool concept gets you a launch day. It doesn't get you users who come back on day 30.
I was building for the demo, not the workflow. ClawOffice looked great in a screenshot. It didn't solve anything measurable for anyone.
"What gets tracked gets improved" is real. The founders I talked to afterward all had the same pain - they were shipping features and running experiments with no clue what was actually driving revenue.
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.
There's almost no public content on how to monetize a Chrome Extension.
Google invited us to do a podcast about it, sharing our learnings on how two bootstrapped guys grew Pretty Prompt to 40,000 users, 25% on annual plans, with ~7% weekly growth, with no VC money.
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.
Update: The Deel Leaderboard will no longer be going ahead today for the Paris event.
We re teaming up with The Pitch by @Deel, a global startup competition where up to 100 winners will receive $50k in funding and up to 10 winners will receive $1M+.
There is a moment that separates products people use once from products people come back to every day. It is not a feature. It is not a notification. It is the feeling that the product remembers who you are.
I have been thinking about this a lot while building Murror. We spent so much time on acquisition, onboarding funnels, and activation metrics. But the thing that actually moved our retention numbers was something much simpler: continuity.
I want to talk about how I built @MCPCore - a cloud platform where developers create, deploy, and manage MCP servers from their browser - and what 10+ years of backend experience taught me about using AI in production work. Not the hype version. The honest one.
Every idea is already taken. So what?
I'm a backend engineer. I've spent most of my career building server-side systems, and I currently lead a backend team at my company. At some point I wanted to build something of my own. A product. Something real.
Someone told me: "Just be consistent. Post every day. The algorithm rewards consistency."
So I did.
For six months, I posted every single day. Sometimes at 7am. Sometimes at 10pm. Weekends included. I wrote about our product, our features, our roadmap. I followed all the "best practices" hook in the first line, three takeaways, call to action at the end.
