Agentic developer marketing system

Finally, marketing that makes sense to engineers.

Quiver gives developer marketing the architecture engineers expect: a source of truth, version history, explicit states, APIs, observability and feedback loops. Everything you learn, create, ship and measure stays connected—so each cycle improves the context and decisions behind the next, without changing the system behind your back.

Start 14-day trial Self-host on GitHub

Hosted from $49/month. Free to self-host. Bring your own model account.

See what to do first

The problem is not your brain

Marketing is usually handed to technical founders as vibes and disconnected tactics.

Another chat has the positioning. A document has the plan. Customer evidence is somewhere else. Content loses its history when it ships. Performance gets reported, then disappears before the next decision.

Quiver gives the whole operation state, structure and memory—so people and agents can work inside the same controlled system.

Because “just post more” is not an architecture.

The architecture

The primitives you already trust—applied to developer marketing.

Not a metaphor painted over a chatbot. These are the operating properties of the product.

Source of truth

Product context

Keep positioning, ICP, messaging, customer language, proof points and hypotheses in one active context that every agent can use.

Version control

Decisions with history

Every context and artifact change is versioned and restorable. Agents can propose updates; you decide what becomes true.

State machines

Real production workflow

Move work through Draft → Review → Approved → Live → Archived instead of losing finished work inside chat history.

Interfaces

Content API + MCP

Publish approved content as structured JSON and let the agents you already use operate Quiver through a real tool surface.

Observability

Work tied to outcomes

Keep the plan, research, content, tasks and performance connected so you can trace what shipped and what happened next.

Feedback loops

A system that improves

Log the outcome, capture what worked and review proposed context changes before that learning shapes the next cycle.

The runtime

The system gets better because the work stays connected.

Quiver does not train a mystery model on your company. It preserves the evidence, decisions, shipped work and results that should inform what happens next—and keeps you in control of what becomes part of the system.

01
Give the system context
Start with the product, audience, positioning, customer language, proof and hypotheses—not a blank chat window.
02
Operate the work
Research, sessions, artifacts, content and tasks stay connected to the initiative they are meant to move forward.
03
Ship through explicit states
Review what agents create, approve what is true and publish finished work without collapsing generation and production into one step.
04
Feed results back in
Measure the outcome, preserve the learning and improve the context and decisions behind the next cycle—with human approval.

Proof, not feature soup

Built to operate the work—not just generate more of it.

For your agents

Operators, not chat tabs.

Quiver gives agents durable context, operational state and tools. Use purpose-built Strategy, Create, Feedback, Analyze and Optimize sessions—or connect an external agent through MCP. Either way, the work lands in the system instead of disappearing with the conversation.

For your content

Infrastructure, not a text box.

Content keeps its versions, publish state, SEO and social metadata, distribution history, repurposing lineage and metrics. The Content API serves approved work as structured JSON, so Quiver can remain the source of truth while your site owns presentation.

For your customer evidence

Research that changes the system.

Turn calls, surveys, reviews and field notes into themes, Voice of Customer quotes, product signals and evidence for or against active hypotheses. Feature the language that matters, then make it available to the agents doing the next piece of work.

For your results

A loop that actually closes.

When work goes live, Quiver creates the reminder to measure it. Log quantitative results and qualitative notes, synthesize what worked and review proposed context updates before they affect future sessions.

Read the technical overview

Bootstrap

Initialize the system. Keep the judgment.

Quiver helps establish the structure quickly. You still decide what the company believes, what deserves to ship and what the results mean.

01
Initialize the context
Paste your website or describe the product. Quiver drafts the starting context; you review the assumptions and make it yours.
02
Connect your model
Bring Anthropic, OpenAI, Google, OpenRouter or any OpenAI-compatible account. Choose the model that fits each job.
03
Start operating
Open a session, connect an MCP client or begin with research. Every action starts from the same approved context and writes back to the same system.

Read the interface

The questions that actually matter.

What is Quiver, and who is it for?

Quiver is an agentic developer marketing system for technical founders, developer marketing teams and the agents working alongside them. It connects product context, research, campaigns, content, publishing and performance in one controlled system.

How much setup and ongoing maintenance does Quiver require?

Connect your own model provider account, then paste your website or describe the product. Quiver drafts the initial context for you to review. As your team researches, creates and measures work, Quiver can propose updates from that activity instead of making you maintain a separate knowledge base by hand.

How does Quiver distinguish approved knowledge from assumptions?

Context and artifacts keep their version history and explicit state. Agents can propose changes, but those proposals do not silently become truth: a person reviews and approves what enters the active context or moves from draft to live.

What can my team do in Quiver besides generate content?

Teams can manage positioning and product context, process customer research, plan campaigns, create and review artifacts, coordinate tasks, publish approved content and log performance. The goal is to connect the full marketing cycle, not produce isolated drafts.

How is Quiver different from using ChatGPT or Claude directly?

A standalone chat starts with the context supplied to that conversation. Quiver gives every session and connected agent the same approved, versioned source of truth, then connects the resulting work to campaigns, publishing states and results. You still choose the model; Quiver provides the system around it.

Does Quiver replace my CMS, CRM or analytics tools?

No. Quiver is the context and decision layer around those systems. Its Content API, MCP interface and publishing workflows help preserve the reasoning, approvals and learning that individual tools often leave disconnected.

Which models can Quiver use?

Bring an Anthropic, OpenAI, Google, OpenRouter or OpenAI-compatible account and choose models by job. Your provider account determines model cost and the policy governing model usage. Quiver is available hosted or self-hosted.

Deployment choice

Your system. Pick who runs it.

Self-host the MIT-licensed foundation for free, or let us run the complete hosted system for you—including built-in tasks. Founder and Team differ only by seats. 14-day trial, card required, cancel any time.

You host it

Open Source

The self-hosted foundation for technical founders and startups comfortable owning the stack.

$0forever

Unlimited seats · your infrastructure

MIT licensed. You host the app and database, maintain the deployment and bring your own model account.

Versioned product context with restore
Strategy, Create, Feedback, Analyze and Optimize modes
Versioned artifacts with approval and publish states
Campaigns linking sessions, research, content and results
Customer research synthesis and Voice of Customer library
Hypothesis evidence tracking
Content calendar, SEO/social metadata and repurposing
Distribution records and content metric history
Public Content API for approved content
Performance synthesis and reviewed context proposals
MCP server code· You deploy and expose it
BYOK with per-job model selection
Built-in tasks, assignments and reminders· Hosted only
Ready-to-invite shared workspace· Hosted only
Managed authentication, infrastructure and updates· Hosted only

View the repository

We host it

Founder

A ready-to-use shared system for a technical founder and up to two teammates.

$49per month

Up to 3 seats

$490/year billed annually. Two months free.

Versioned product context with restore
Strategy, Create, Feedback, Analyze and Optimize modes
Versioned artifacts with approval and publish states
Campaigns linking sessions, research, content and results
Customer research synthesis and Voice of Customer library
Hypothesis evidence tracking
Content calendar, SEO/social metadata and repurposing
Distribution records and content metric history
Public Content API for approved content
Performance synthesis and reviewed context proposals
Ready-to-connect MCP endpoint· OAuth or scoped tokens
BYOK with per-job model selection
Built-in tasks, assignments and reminders
Ready-to-invite shared workspace
Managed authentication, infrastructure and updates

Start 14-day trial

We host it

Team

The expanding hosted team product with room for the whole company.

$99per month

Unlimited seats

$990/year billed annually. Two months free.

Versioned product context with restore
Strategy, Create, Feedback, Analyze and Optimize modes
Versioned artifacts with approval and publish states
Campaigns linking sessions, research, content and results
Customer research synthesis and Voice of Customer library
Hypothesis evidence tracking
Content calendar, SEO/social metadata and repurposing
Distribution records and content metric history
Public Content API for approved content
Performance synthesis and reviewed context proposals
Ready-to-connect MCP endpoint· OAuth or scoped tokens
BYOK with per-job model selection
Built-in tasks, assignments and reminders
Ready-to-invite shared workspace
Managed authentication, infrastructure and updates