This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
HQ
The company brain your AI runs on
Today everyone uses AI their own way. HQ gets your whole team working as one. A workspace that makes your AI smarter the more you use it, and turns one person's wins into the whole team's default. You get sharper. They get faster.
I run sixteen companies day-to-day. Every one of them needs me, my team, and our AI tools to share the same context — what we decided last Tuesday, which customer owns which thread, the policy we set six months ago that nobody remembers. I kept rebuilding the same scratch system over and over: a folder of files that Claude could read, a shared way to give every new session the same starting point, a way for my team to all work from the same playbook.
HQ is that system, productized. It's a local workspace your team's AI tools all read from — Claude Code, Cursor, Codex, whatever's next. Knowledge, skills, policies, and per-company workers live in one place and stay in sync across everyone's machines. Every AI session starts informed instead of starting cold.
A few things to know:
• Local-first and open source. The free starter kit is MIT-licensed and runs entirely on your machine. Get it at hqforwork.com. HQ Pro adds an encrypted vault and team sync on top of the same files you already own. • Agent-agnostic. HQ is the layer underneath. Use whatever AI you trust above it — we don't compete with the model, we compete with the cold start. • Scales without changing shape. Solo founders, small teams, and enterprises all use the same primitives. Engineers at Adobe and a handful of other teams are running it daily.
A few things I'd love feedback on today:
1. Where does the cold-start problem hurt you most — code, customer, or company-knowledge work? 2. If you've tried building this kind of shared context yourself, what broke first? 3. What's the one feature that would make you put HQ in front of your whole team this week?
I'll be in the comments all day. AMA.
About HQ on Product Hunt
“The company brain your AI runs on”
HQ was submitted on Product Hunt and earned 26 upvotes and 7 comments, placing #42 on the daily leaderboard. Today everyone uses AI their own way. HQ gets your whole team working as one. A workspace that makes your AI smarter the more you use it, and turns one person's wins into the whole team's default. You get sharper. They get faster.
On the analytics side, HQ competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how HQ performed against the three products that launched closest to it on the same day.
Who hunted HQ?
HQ was hunted by Corey Epstein. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Corey Epstein
Hey Product Hunt — Corey here, founder of HQ.
I run sixteen companies day-to-day. Every one of them needs me, my team, and our AI tools to share the same context — what we decided last Tuesday, which customer owns which thread, the policy we set six months ago that nobody remembers. I kept rebuilding the same scratch system over and over: a folder of files that Claude could read, a shared way to give every new session the same starting point, a way for my team to all work from the same playbook.
HQ is that system, productized. It's a local workspace your team's AI tools all read from — Claude Code, Cursor, Codex, whatever's next. Knowledge, skills, policies, and per-company workers live in one place and stay in sync across everyone's machines. Every AI session starts informed instead of starting cold.
A few things to know:
• Local-first and open source. The free starter kit is MIT-licensed and runs entirely on your machine. Get it at hqforwork.com. HQ Pro adds an encrypted vault and team sync on top of the same files you already own.
• Agent-agnostic. HQ is the layer underneath. Use whatever AI you trust above it — we don't compete with the model, we compete with the cold start.
• Scales without changing shape. Solo founders, small teams, and enterprises all use the same primitives. Engineers at Adobe and a handful of other teams are running it daily.
A few things I'd love feedback on today:
1. Where does the cold-start problem hurt you most — code, customer, or company-knowledge work?
2. If you've tried building this kind of shared context yourself, what broke first?
3. What's the one feature that would make you put HQ in front of your whole team this week?
I'll be in the comments all day. AMA.