Quiver is an agentic developer marketing system for technical founders and dev-tool teams. It keeps product context, customer evidence, campaigns, content, tasks and results connected in one controlled system. Unlike another AI writing tool, Quiver gives agents durable context, version history, explicit production states, a Content API, MCP access and a human-approved feedback loop. Use hosted Quiver with managed team access and built-in tasks, or self-host the free MIT-licensed edition.
Engineers hate marketing because it feels vague, disconnected, and impossible to debug. And without a system, it is.
I built Quiver to turn developer marketing into an engineering system: one source of truth, version history, explicit states, APIs, observability, and feedback loops.
If you’re an engineer or technical founder trying to do marketing without a system, try Quiver: https://www.quivergtm.dev/
I use Quiver every day to run marketing as a connected system instead of a pile of chats, docs, and disconnected tools. Product context informs the research. Research informs the work. Campaigns connect what ships to the results. Those results feed the next decision. Agents can do the work. I still decide what is true, what ships, and what the results mean.
This looks like the product I didn't know I needed. Will give it a try. I believe this most definitely solves a problem.
Quiver is the thing I want to look at next? I'm managing a DevRel team. Spill the juice Tessa
Really an interesting product, I was looking for something like this. I write blogs for my product using claude code because it has context of my product and has mcp connection to Google search console, I believe this product can be game changer for me, though haven't tried yet. Nice work team !!
Which Vercel product did you use? What new capability did it give your team, and how did that shape the product you launched?
Can you walk through how the human-approved feedback loop works in practice: how does Quiver generate context update proposals from research/performance, how do you review/compare/restore versions, and how do you avoid agents “learning” the wrong thing from one-off results?
Congrats on the launch! As a solo technical founder, I found it a little hard to understand how I'd get started with Quiver and fit it into my workflow. Is there a walkthrough or example you'd recommend? @fmerian@tessak22
Pretty solid launch! As an engineer and solo founder constantly launching products that's definitely something I'd use to run launching campaigns!
The human-approved feedback loop stood out to me. I’d personally feel more comfortable using AI for marketing tasks when there’s still a clear point where someone can review and approve what actually gets published.
saw your forum question about where agent authority should stop, that's the same wall we hit building a voice AI. an agent on a phone call can decide what to say next, but the moment it's deciding whether to actually book something or spend money, we pull that back to a human-approved rule every time. curious where you draw that line in Quiver specifically, is it "agent can publish content" vs "agent can't touch the campaign budget", or something more granular than that
@tessak22 is the 🐐 and @Quiver GTM an unfair advantage if you're building a developer tool. no brainer.
About Quiver GTM on Product Hunt
“Run developer marketing like an engineering system”
Quiver GTM launched on Product Hunt on September 25th, 2026 and earned 163 upvotes and 31 comments, earning #3 Product of the Day. Quiver is an agentic developer marketing system for technical founders and dev-tool teams. It keeps product context, customer evidence, campaigns, content, tasks and results connected in one controlled system. Unlike another AI writing tool, Quiver gives agents durable context, version history, explicit production states, a Content API, MCP access and a human-approved feedback loop. Use hosted Quiver with managed team access and built-in tasks, or self-host the free MIT-licensed edition.
Quiver GTM was featured in Marketing (468.7k followers), Developer Tools (520.1k followers), Artificial Intelligence (479.4k followers) and Vercel Day (40 followers) on Product Hunt. Together, these topics include over 293.1k products, making this a competitive space to launch in.
Who hunted Quiver GTM?
Quiver GTM was hunted by fmerian. 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.
Want to see how Quiver GTM stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
fmerian
Hey Product Hunt—I’m Tessa 👋
Engineers hate marketing because it feels vague, disconnected, and impossible to debug. And without a system, it is.
I built Quiver to turn developer marketing into an engineering system: one source of truth, version history, explicit states, APIs, observability, and feedback loops.
If you’re an engineer or technical founder trying to do marketing without a system, try Quiver: https://www.quivergtm.dev/
I use Quiver every day to run marketing as a connected system instead of a pile of chats, docs, and disconnected tools. Product context informs the research. Research informs the work. Campaigns connect what ships to the results. Those results feed the next decision. Agents can do the work. I still decide what is true, what ships, and what the results mean.
Finally, marketing that makes sense to engineers.