Welcome back to another edition of The Roundup, folks. We've got context aware AI assistants, hyper-realistic photo generation, and a breakdown of OpenAI's recent hiring binge, and lots more. Let's get into it. — Aaron and Sanjana
Leaderboard highlights





We asked 34 customers what Viktor does for them. Not one said chatbot.

They kept using words like colleague, coworker, team member. One CEO called it the glue holding their e-commerce business together, which is a lot, but also… you see why. It lives in Slack and plugs into 3,000+ tools, so instead of jumping between tabs, you just ask for the thing. Pull Stripe against HubSpot, check Sentry alerts, spin up a campaign brief, build a landing page, send a report upstairs. It all happens there.
It has already hit top 5 on Product Hunt with 130 comments, is SOC 2 certified, and your data does not train models.One user said it was the first time AI felt like a real coworker, which is either exciting or slightly concerning depending on your week.
OpenAI's hiring blitz
OpenAI is making moves like it’s assembling the Avengers of tech. First, there’s Justin Uberti, a heavyweight in real-time communication and the creator of WebRTC. After years of redefining how we connect online, he’s now tackling AI’s next big challenges at OpenAI. Whatever he’s working on, it’s safe to say it’ll likely involve revolutionizing how humans and AI interact—or maybe something we haven’t even thought of yet.
And then there’s Caitlin Kalinowski, fresh from Meta, where she was in charge of AR glasses that aimed to bring the sci-fi future to your face. Now, she’s leading OpenAI’s robotics and consumer hardware efforts. Her hire suggests OpenAI might be gearing up for something tactile—robots? AI-optimized devices? Whatever it is, the company isn’t just thinking about ones and zeros anymore; they’re thinking about things you can hold (or that can hold you?).
This hiring blitz isn’t just about picking up talent; it’s about signaling ambition…
How to Improve Your AI Agent: A Guide for Founders

By Pranav Raja, Co-founder, and CTO of Foundry.
As AI becomes increasingly embedded in business operations, more founders are adopting agents—automated systems powered by large language models (LLMs) or task-specific components.
However, launching an agent is just the beginning. Continuous improvement is key to ensuring it delivers real value. Here’s a practical, non-technical guide to setting up a robust evaluation and improvement process for your AI agent.
Every Sunday
Everything you missed this past week on Product Hunt: Top products, spicy community discourse, key trends on the site, and long-form pieces we’ve recently published.