If you want the exact pitch deck that got us in let me know.

Otherwise, here's the overview:

Hi, People I am the creator of Kyohansha. While creating it I was having only one thing in mind, that is to build a community of people who are into tech and just wanted to connect with more and more people. Today I have sent a mail to the registered users and waiting for the replies. If you are into tech lets connect and want everybody's feedback too...

Do leave a comment

Hey everyone

Last week was intense.

We didn t plan a launch.
We just kept hearing that some parts from the app were a bit annoying...

One of our user reached out and offered to help translate Nibbo into Japanese. So that's exactly what we did together!

The full interface is now available in Japanese - not machine-translated but done by someone who actually uses the app and knows the language.

If your language is missing and you'd like to help bring it in, reach out. This is how Nibbo grows.

People s motivations for wanting something of their own vary quite a lot.

So far, though, I ve most often heard these three answers:

• To make a lot of money.

• To work really hard until 30 so I can relax later in life.

• Time and location freedom.

Hi Product Hunt community!

OptiClear is officially live, and while the current cleanup tools are saving tons of GBs, I m already looking at the roadmap for the next big update. I want to build what you actually need.

Which of these features would make your Mac life easier?

1 Duplicate Finder: Find and remove those annoying identical files & photos.
2 Uninstaller Improvements: A more powerful way to wipe every trace of deleted apps.
3 Cloud Storage Cleaner: Scanning and managing large files in iCloud/Google Drive.
4 Performance Monitor: A real-time dashboard for RAM and CPU health.

Hey ProductHunt!

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%).

Hey everyone

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.

no one asked actually but to be honest i think i had to say something cuz i kinda feel bad that all the support i got here just went away...
right now if you visited the domain finkitty.com you will find out that its listed for sale, i took this decision after a very long sitting with myself and ended up deciding that since im not having any users in this app i might just kill it and shift my focus into something else (working on templateson.com now)
yet im still holding it inside cuz i do like the name of this app and i feel like it has very good potential and i just cant see it..
so... if you have any great idea for an app named "FinKitty" please let me know
thanks

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.

Scheduling, emails, sales, spreadsheets, and so much more - all over email

Build your dream AI employee today

Hey Product Hunt!

We're working on a proactive AI assistant that doesn t just respond, but actually manages your life for you!

Hey makers!

Lately, I ve been looking closely at how independent builders and small teams are managing AI knowledge bases. It feels like the default "industry standard" is to immediately reach for a complex RAG pipeline and a heavy, paid Vector Database.

But I'm starting to wonder if we are over-engineering this for 90% of standard use cases.

Vector DBs are incredibly powerful for massive scale, but for smaller or non-massive datasets, they can be expensive, complex to query, and act as complete black boxes. If a search returns a weird chunk, diagnosing it is often a nightmare.

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.