Alphard

Our Thesis

Our Thesis

Read our thesis below to see why we are building what we are building

Readme

The Thesis

Readme

The Thesis

This is not a deck.
This is not a whitepaper, or a case study, or a set of metrics dressed as meaning.

This is just a story.
A story told in three acts.

It’s the story of how we got lost in our own data
and how we’re finding our way back.

This is not a deck.
This is not a whitepaper, or a case study, or a set of metrics dressed as meaning.

This is just a story.
A story told in three acts.

It’s the story of how we got lost in our own data and how we’re finding our way back.

Act 1

The Past

Act 1

The Past

How We Got Here

There was a time when building software was simpler

not because people were smarter,

but because the world around them was quieter.

Fewer competitors, fewer tools, fewer layers.

Instinct worked because the surface area of product decisions was smaller.

But as competition grew, so did complexity.

Data, metrics, frameworks, all meant to bring clarity

ended up creating more distance between those who build

and the real impact of what they ship.

We kept adding data, but used it less.

Static decisions couldn’t keep up with dynamic behaviours.

It started taking a superhuman effort just to decide what mattered.

There was a time when building software was simpler not because people were smarter, but because the world around them was quieter.

Fewer competitors, fewer tools, fewer layers.

Instinct worked because the surface area of product decisions was smaller.

But as competition grew, so did complexity.

Data, metrics, frameworks, all meant to bring clarity ended up creating more distance between those who build and the real impact of what they ship.

We kept adding data, but used it less.
Static decisions couldn’t keep up with dynamic behaviours.

It started taking a superhuman effort just to decide what mattered.

Act 2

The Present

Part II

The Present

Part II

The Present

The Status Quo

Yet most decisions still rely on gut feeling.
We squint at the past and guess at the future.

We’ve built beautiful ways to see where things happened,
but not why, or what to do next.

Event logs fragment behaviour;
teams stitch manually together interviews, surveys, replays.
Insight stalls at the slide.
Value evaporates in the gap between signal and action.

In SaaS industry, $45B vanish each year on zero-impact product decisions.

But waste isn’t a villain
it’s a thousand product choices that never quite mattered.

Product leaders reconcile partial insights while meetings multiply
and “what should we prioritise next?” echoes louder than ever.

But today’s tools keep adding fragments,
and that makes everything harder.

Yet most decisions still rely on gut feeling.
We squint at the past and guess at the future.

We’ve built beautiful ways to see where things happened, but not why, or what to do next.

Event logs fragment behaviour;
teams stitch manually together interviews, surveys, replays.
Insight stalls at the slide.
Value evaporates in the gap between signal and action.

In SaaS industry, $45B vanish each year on zero-impact product decisions.

But waste isn’t a villain
it’s a thousand product choices that never quite mattered.

Product leaders reconcile partial insights while meetings multiply
and “what should we prioritise next?” echoes louder than ever.

But today’s tools keep adding fragments, and that makes everything harder.

Act 3

The Future

Part III

The Future

Part III

The Future

The Quest we're On

A small group of us decided to bring the magic back not by adding more charts, but by shortening the distance between a signal and a move.

We called it Alphard.

It's a quiet kind of lighthouse. It looks across the tools you already use and turns scattered signals into a product intelligence layer to rebuild the SaaS world.

A world where product teams share one plain-language truth.

Where every signal, customer behaviour and external context

feeds a system that continuously learns and improve product decisions.

Alphard exists to make that shift tangible.

To rebuild analysis around traceability, measurable ROI, and decisive data

so the purpose of data can never be forgotten again.

Because the magic of building products never disappeared.

It’s still there, under the noise,

waiting for clarity to bring it back.

But a small group of us decided to bring the magic back not by adding more charts, but by shortening the distance between a signal and a move.

We called it Alphard.

Imagine a data analyst for each customer of a software, that tracks behaviours,
It's a quiet kind of lighthouse. It looks across the tools you already use and turns scattered signals into a product intelligence layer to rebuild the SaaS world.

A world where product teams share one plain-language truth.

Where every signal, customer behaviour and external context

feeds a system that continuously learns and improve product decisions.

Alphard exists to make that shift tangible.

To rebuild analytics around traceability, measurable ROI, and decisive data so the purpose of data can never be forgotten again.

Because the magic of building products never disappeared.

It’s still there, under the noise, waiting for clarity to bring it back.

The Vision

The future won’t belong to companies that make faster moves,
but to those that make shared ones.

The era of the lone product manager,
deciding in isolation from a gut feeling, is ending.

Product engineering is changing that,
pulling builders, designers, and growth teams into the same circle of context.

But context alone isn’t enough.
To scale real ownership, teams need aggregate understanding.

Because when more people can understand impact,
more people can create it.

That’s the world Alphard is building toward,
where product decisions stop being opinions
and start being a shared language for progress.

The future won’t belong to companies that make faster moves,
but to those that make shared ones.

The era of the lone product manager,
deciding in isolation from a gut feeling, is ending.

Product engineering is changing that, pulling builders, designers, and growth teams into the same circle of context.

But context alone isn’t enough.
To scale real ownership, teams need aggregate understanding.

Because when more people can understand impact, more people can create it.

That’s the world Alphard is building toward, where product decisions stop being opinions and start being a shared language for progress.

The Vision