For years, SaaS pricing revolved around seats.

If you're adding more teammates then pay more.

This was simple, predictable and scalable.

I've been watching this weird trend in B2B sales, and it's honestly keeping me up at night.

Everyone's rushing to implement AI sales tools (rightfully so - the efficiency gains are insane), but we might be accidentally breaking the entire profession.

Hey everyone,
My name is Andrew, I'm currently the CEO of @UXPin , and previously @teamgate.
I'm a Dad to two toddlers who keep me on my feet, a sports enthusiast and lover of all things food.
Looking to connect with anyone like-minded and looking to push the boundaries of tech!

Hey everyone!

It s been a while since I was active here. Glad to be back.

TL;DR: OrbOps AI is Agentic AI DevOps that learns your stack. Infra goes weeks minutes, approvals seconds, repo prod 10m on any cloud/on-prem no toolchain change. Few-click onboarding, FinOps + security guardrails, and autodiscovery.

We go live Sep 4, 2025 at 12:01 AM PDT (12:31 PM IST).

Curious to read some insights from developing tech products with ADHD/neurodivergent users in mind. What design decisions made the biggest difference? What assumptions were wrong?

I m Harris - a systems thinker, quiet builder, and someone who can t stop being curious.

Over the last 6 months, I ve been deep in the world of Voice AI, and feedback loops - building tools that listen, think, and respond in real time. Soon, I ll be launching something in this space - bots that don t just hear you, but hold space for you.

I care a lot about intentional design - software that s fast, clear, and doesn t fight you for attention.

I'm a big fan of voice dictation apps. In fact, I'm using one right now to write this very post (you'll have to wait till the end to see which one I'm using )

The two main products I've used in this space are @Aqua Voice and @Wispr Flow. From talking to others, these are the two that I typically hear people mention using. In general, I hear a lot more people talk about using Wispr Flow.

I'm a big fan of voice dictation apps. In fact, I'm using one right now to write this very post (you'll have to wait till the end to see which one I'm using )

The two main products I've used in this space are @Aqua Voice and @Wispr Flow. From talking to others, these are the two that I typically hear people mention using. In general, I hear a lot more people talk about using Wispr Flow.

I'm a big fan of voice dictation apps. In fact, I'm using one right now to write this very post (you'll have to wait till the end to see which one I'm using )

The two main products I've used in this space are @Aqua Voice and @Wispr Flow. From talking to others, these are the two that I typically hear people mention using. In general, I hear a lot more people talk about using Wispr Flow.

We're building an AI that helps organizations track public policy, and we recently had an educational non-profit and a healthcare organization become customers.

We'd love to find more non-profits/organizations supporting good causes to work with. If you know any such organizations where public policy often impacts their operations, we'd love to hear about it and try to help!

I ve been working on some AI projects recently things like scheduled agents, API responders, and multi-agent systems that need to run continuously. One of the biggest headaches I ve run into is deployment.

Most cloud platforms (AWS, GCP, etc.) are built for stateless apps or short-lived functions. But for long-running, stateful agents, the kind that need to persist data, auto-recover from crashes, and expose custom endpoints it gets surprisingly messy. I ve spent so much time setting up VMs, Docker configs, and recovery logic than actually writing agent behavior logic.

Different for every app I'm sure, but I have a little one I discovered recently-- I made an app that people really loved once they started using it, but it was difficult to get anyone to sign up. I found that repeatedly showing off the product in a variety of contexts eventually triggered a sort of FOMO, and made people want to learn to use the app, and at that point they would get hooked. Does anyone else out there with a great marketing mind than I have similar strategies they've discovered over the years?

Fellow makers, I need some real talk here.

Anyone else feel like they're spending more time switching between tons of tools than actually building?

I'm launching something on June 27th that combines all of this into one platform (Crowd), but genuinely curious - what's your analytics stack looking like these days?

Are we all just collectively accepting that customer intelligence requires 5+ subscriptions, or is there a better way?

Hello, Product Hunt community!

We often celebrate the wins and the "hockey stick growth" moments here, which is incredibly inspiring. However, I believe there's a treasure trove of knowledge in the projects that didn't work out, especially in the rapidly evolving world of AI agents.

I m Jiyeon, working at the intersection of business and AI, with a background in IT consulting and AI-powered platform solutions. My journey has been about bridging technology and user needs, always aiming for practical, high-impact solutions.

Currently, I m focused on LLMOps, building and refining AI evaluation and observability frameworks, and collaborating with global partners to push the boundaries of generative AI services.
Product Hunt has always been a great place for me to spot fresh ideas and connect with other builders and visionaries. If you re into AI platforms, enterprise adoption challenges, or just love talking about how to make tech more accessible and meaningful, let s chat!

Some tools just feel more reliable even if the backend models are similar. Is it the tone, layout, citations, or transparency of the process? What gives you confidence to act on what AI says?

We re shipping Bugs!

Yes, but it s a feature, not a bug