I work closely with product and growth teams, and one challenge I keep running into is explaining user drop-offs to people who aren t deep into analytics.
The data usually shows where users leave, but turning that into a clear, confident explanation without overloading dashboards or making assumptions can be tough. Especially when the audience is leadership or business stakeholders.
Hi I want to appreciate everyone who took out time to support Kalendar, the love was real and organic and goes to show that Product Hunt is a place where one who is not known can get visibility on their product so long as it solves a real problem very well. We will do our best to keep being active in this space, releasing one template at a time to support our mission at @founding.dev of reducing the cost of SaaS for business, so they can channel the savings towards causes that drive their impact, innovation and growth.
AI as you know it is disrupting industries, and the software industry is at the forefront of this disruption. So what will be the future of SaaS, a model that presents users value for use?
The first and most important impact as we are already seeing is that the barrier for non-technical people to build software they require will drastically drop. This is evident in tools like lovable, bolt, replit etc... where users with no coding experience can whip up apps in a couple of minutes or hours as the case maybe.
1. Guys, I ve been noticing more and more often in the comments something along these lines: This problem was solved many years ago, here s a solution I found on Google in 1 minute .
2. Yes, most often, a problem you see on ProblemHunt at first glance seems to be already solved. And I fell into this trap myself. For example, for one of the problems on PH that I wanted to solve, I found at least three solutions in my search, one of which was created as much as 4 years ago. BUT after a call with the person experiencing the problem, it turned out that the existing products solved it at most 20 30%, and a lot still needed to be improved.
A 3-year search for a simple tool to track both personal and business finances in one place. Nothing fits.
Website owners constantly need minor edits in the admin panel. They are forced to pay specialists for 5-minute tasks. We need an AI agent that does this on command in the browser.
An indie hacker spends 20-30 hours manually cold launching each new product in directories, Reddit, and blogs. There is no tool that fully automates this and proves its effectiveness.
A freelancer often loses in proposal competitions due to the inability to quickly create personalized and visual website concepts for each job order.
A Telegram channel owner is losing their audience without understanding the reasons for unsubscriptions. There is no simple tool for automatically collecting feedback from departed subscribers.
Hopefully this isn t your second Ting notification overload in a couple of days
We got top three launch for the day yesterday! We're so delighted and grateful. Thank you for upvotes, comments, good vibes and giving us the energy to keep pushing.
We said we d give Product Hunt something extra, but we didn't want to spam yesterday.
It looks like OpenAI may have acqui-hired the @Cline team. It's not currently clear what that means for the future of the AI coding agent as a project, as their team members are now on the @Codex by OpenAI team.
Any open-source alternatives? @Kilo Code? @Zed? else?
Despite their immense popularity in China, SuperApps (multifunctional platforms that combine services like messaging, payments, shopping, and more into a single app) have yet to gain significant traction in the United States. This discrepancy raises intriguing questions about cultural differences, technological infrastructure, and consumer behavior.
One key factor is the fragmented nature of the United States' financial and tech ecosystem. Unlike China, where Alipay and WeChat Pay dominate the market due to a unified financial system and government support, the US has a diverse array of payment gateways, banks, and fintech solutions. Integrating these into a single SuperApp is not only logistically challenging but also requires navigating complex regulatory landscapes.
Moreover, american consumers have grown accustomed to niche apps tailored for specific tasks: such as Venmo for peer-to-peer payments or Paypal for digital purchases. The US market has also been slower to adopt all-in-one platforms, reflecting a cultural preference for specialized solutions over overarching ones.
Instead of asking people to check another app, Trace now sends a daily email with the most relevant things for their interests from across the web.
Same idea as the feed: you tell it what you care about it adapts based on what you read or skip no trending-for-the-sake-of-it meant to be read in a few minutes, then closed
In the past, my thoughts were often stuck in small, daily things like: Is there any drama on Facebook today? Did anyone like my story? Did my crush drop any hints? Is anyone asking me out today? Does my best friend have new stories to tell me?
Looking back, I can t help but laugh at myself. None of these thoughts really helped me grow, yet they always gave me that emotional, butterfly-in-the-stomach feeling.
Everything started to change when I entered a phase of I don t even know who I am. And that s when I began searching for real answers.
Hi Everyone! Our app is designed to be used at site and I always felt that response speed is critical for seamless app use
It appeared to be a compromise. This specially relates to audio and TTS we use. We can use very naturally sounding TTS models, but they may take about 1 minute to respond. Or we can use something which responds in 5 seconds but quality will be lower. How much do you think a user can wait for response before she shuts down the app as it takes too long?
There s a lot of discussion on X and other places about the future of software development. As with many things in life, the reality is both complex and in the middle of the extreme viewpoints. What we re seeing at Tonkotsu:
Agents are fast and powerful, but make mistakes. They can t operate unsupervised. We think they re like unreliable compilers.
That means developers are as critical as ever, but their role shifts to being managers of coding agents.
This transformation means developers need to be focused on planning and verification, while delegating coding. The role has become barbell-shaped, and the industry needs new tools and workflows to accommodate this.
