hbfy

Less noise. More understanding.

Your customers
have a point.
Find it.

A feedback inbox for small product teams. Bring requests together, spot the patterns, and decide what to build next.

Explore the idea

An early-stage project. Thoughtfully taking shape.

Feedback inboxConcept preview
THE LITTLE THINGS ADD UP
✳ A PATTERN WORTH EXPLORINGA shared home for customer requests

Related ideas, brought together. Original context, kept close.

Illustrative data · Planned experience

Built around a simple beliefGood product decisions start with listening.

What we're working toward

From scattered thoughts
to a clearer next step.

Three focused capabilities, designed for teams that want to understand their customers without adding more busywork.

01 / COLLECT

One home for feedback.

A place to capture customer requests and the context behind them, so useful insights don't disappear between conversations.

02 / UNDERSTAND

See what keeps coming up.

Planned AI-assisted grouping to connect similar requests and surface recurring themes, with the original feedback always within reach.

03 / DECIDE

Give priorities a reason.

Review the themes, understand the need, and make your next product decision with more context. Your team stays in control.

Small teams. Clearer signals.

More listening.
Less spreadsheet archaeology.

HBFY is an independent, early-stage product project exploring a simpler way for small teams to work with customer feedback.

The starting point is deliberately focused: collect useful feedback, understand repeated requests, and keep the customer context close to the decision.

We're currently developing the concept. The features shown here describe our direction, rather than a publicly available product.

A few things to know.

Can I use HBFY today?

Not yet. HBFY is in development, and public access has not launched. This page introduces the concept and the planned experience.

Who is it for?

Founders and small product teams who hear valuable customer feedback but need a simpler way to organize it and identify repeated requests.

How would AI help?

We're exploring AI-assisted grouping and summarization of related feedback. The aim is to help teams review patterns while keeping original messages available and leaving prioritization decisions to people.