A written answer to the question you asked: a recommendation, the evidence behind it with sources and dates, the alternatives Alvar weighed, and one test small enough to run next. It lands as a proposed edit to your Product Plan, so you can apply it or keep the current version.

How is this different from asking ChatGPT?

A chat answers from memory and leaves you to check it. Alvar reads current sources, keeps the date on every claim, marks the places where evidence is missing, and turns the result into a specific change to your product plan.

What happens to my question and my data?

Your question, plan, and evidence stay inside your project. Research and model providers process the text to do the work, and your project content is never used to train models. The privacy policy lists every provider.

Send the question you are stuck on through the invite request. A person reads it, and we invite a small number of projects into the full path. There is no checkout in the request form.

One product question, answered with sources.

Describe the decision that is slowing you down.

No checkout. A person reads every request.

One question. Three moves.

01
Ask
Describe the product decision that is blocking you.
02
Review
See what Alvar will research, which sources it will use, and the cost ceiling.
03
Decide
Get the evidence, recommendation, and smallest useful next test.

Example preflightBefore research

Which customer should we build the first workflow for?

Context: Your product, constraints, and what you already know
Research: Demand, alternatives, buying triggers, failure signals
Answer: A recommendation, evidence, and the next useful test
Ceiling: $4.20 maximum

Nothing runs until you approve it.Approve

Research has somewhere to land.

Every answer arrives as a proposed edit to your Product Plan: the exact line that changes, the reason it changed, and your current version kept intact until you apply it.

Example proposalPosition, primary customer

Current

Independent product teams with an active research practice.

Proposed

Founder-led B2B teams before their first dedicated product hire.

Why it changed

Six of eight observed buying triggers occur before a product function exists. The later-stage segment already has an established research workflow.

Keep currentApply proposal

What founders ask first.

Anything else, write to hello@alvar.cc, or read the privacy policy.

What do I get back?: A written answer to the question you asked: a recommendation, the evidence behind it with sources and dates, the alternatives Alvar weighed, and one test small enough to run next. It lands as a proposed edit to your Product Plan, so you can apply it or keep the current version.
How is this different from asking ChatGPT?: A chat answers from memory and leaves you to check it. Alvar reads current sources, keeps the date on every claim, marks the places where evidence is missing, and turns the result into a specific change to your product plan.
What happens to my question and my data?: Your question, plan, and evidence stay inside your project. Research and model providers process the text to do the work, and your project content is never used to train models. The privacy policy lists every provider.
How do I get in?: Send the question you are stuck on through the invite request. A person reads it, and we invite a small number of projects into the full path. There is no checkout in the request form.

R2 Invite Alpha

Bring the question that matters now.

For founders holding a live product decision before there is a dedicated product function: which customer to build for, which segment to lead with, what to price, what to build next.

Request an invite Already invited? Open Alvar

One product question, answered with sources.

One question. Three moves.

Ask

Review

Decide

Research has somewhere to land.

Bring the question that matters now.