Archie Norman

Mercury Labs AI

Augmentive

CTO, Co-Founder

Enginuity

Lead Data Scientist and Python Engineer

Forestreet

Data Scientist and Python Engineer

FRST

Director of Data Science - Data Scientist and Python Engineer

Playbrush

Thomson Reuters

Technology Graduate Scheme

Liv-ex

Technology Analyst

Fyxer AI

Co-Founder

FYXER People

All the companies from the AI wave of 2016–2017 died. We didn’t.

The timing wasn’t right.

We pivoted to build a human version of the product.

We grew this business to $5M ARR, fully bootstrapped and profitable.

We built various SAAS tools (think Asana etc) that didn't feels like the next generation of products. 

We believed running the human powered version of the product would give us the map to build the best AI version. 

You can’t automate what you don’t deeply understand.

That’s why we’ll win.

Predicting the next email you’ll send.

This year, starting with 4 people, we grew from $1M to $15M ARR.

My role is being the voice of the customer: 

- building the best AI models for predicting the next email you’ll send.
- making sure we make intuitive AI & product decisions.
- making sure we reach the customer who feels email HELL the most.

Archie Hollingsworth

AGI has been a massive distraction for startups. 

For years, the easy bet was that foundation models would keep improving exponentially. 

But it’s now clear that the real differentiators are specialization and context engineering, not raw scale. 

The best AI companies are not getting distracted by AGI, but by mastering how AI is applied.

This is one of the points I shared with Arjun Kharpal (CNBC) at Web Summit, where I joined Ling Ge for a panel on building Europe’s global tech edge.

We believe overhiring kills startups.

In the last 12 months, we’ve grown revenue 30x, even though we started the year with these 3 (and me).

Most fast-growing startups fall into traps: overhiring, losing focus, acting like big companies.

We believe small, exceptional, high-performing teams are the future.

This year, we’ve carefully hired a small team of ambitious, humble and extremely hard-working individuals to help us go faster.

Today, we’re adding $1M ARR per week.

We can go faster though.

We’re carefully hiring 2 world-class engineers to join our team.

DM me if you’re interested.

[Last year’s Christmas party, SF, Dec 24]

People love to hate “996.” 9 a.m is not an early start.

But all that misses the point.

We don’t mandate it; instead, it’s about hiring people who love what they do.

I witnessed it this weekend when an issue occurred at 11 p.m on Friday, and the team has worked tirelessly to resolve it (and still is right now).

That’s the environment we believe in: working alongside people who care as much as you do and challenge you to be better every day.

A small team of exceptional people, working hard on a problem they care about, will always beat a larger, less focused team.

Joshua took the biggest bet of his life last year, joining three founders in a coworking space in Shoreditch. Four months later, he moved to SF to live in a hackahouse and is now leading a team of engineers.

My favourite quote from his talk last night: “We used to have a Slack channel for every time someone visited the website. Now we have a bell for every time we add another $1M ARR.”

You might be asking yourself, have I missed the rocketship moment? How much more upside is there? Are they overhiring or lowering the bar?

There will be a $10B company in our space.

Most fast-growing startups fall into traps, overhiring or acting like big companies.

We believe small, exceptional, high-performing teams are the future.

There is no better offer to a candidate than an extremely ambitious group giving unreasonable effort to the right things.

Surround yourself with insanely ambitious and talented people, and the rest will take care of itself.

Life is not a dress rehearsal.

[Josh last night at a founding eng event]

We are addicted to our phones, from the moment we wake up to the moment we go to bed.

Managing our inbox has become an entire layer of “fake work,” and a burden we no longer need to carry.

We are excited about a future built on AI-native products, ones that do not measure success by how much time people spend using them, but by how much time they gain back.

This video is from my Web Summit keynote this week.

Today we hosted Adam Pisk, founder of BruntWork, a rocketship that has grown to more than 7000 staff in just five years.

Adam was one of our first five users. He signed up on day one after I posted about Fyxer on LinkedIn, and a few weeks later, his whole team joined. For a moment, we had more Bruntwork users than anyone else. 

In the early days, the product was unreliable and a bit rough around the edges, but he stuck with us, gave honest feedback, and never once took a discount. He always believed our success was tied to his.

He visited our hackahouse in SF last year, and today he stopped by to see us in London. It was great catching up with him with Violaine from CS and Eleonora and Assem from engineering.

To all the Adams out there who are supporting us. Thank you. 

We are working extremely hard to make the product better every day.

You cannot say you're customer-obsessed if you only talk to customers. We did extreme things to study our customers.

Unpicking the gap between what customers say and what they actually do is how we’ve grown 25x in the last 10 months.

I met with 🌎 Jessica M. Mendoza from Forbes at Web Summit before going on stage to share more about the last 10 months. Link to article in comments.

Predicting the next email you will write sounds trivial.

After all, you know your inbox, your pipeline, your priorities. Surely a machine can learn that too, right?

In practice, it is one of the hardest problems in applied AI.

Email composition is not pattern-matching. It is intent-recognition, context-recall, tone-shaping, and business-logic sequencing. It requires an understanding of relationship history, implicit urgency, decision dynamics, and the social nuance embedded in every sentence.

Modern models can draft in seconds. The challenge is deciding which paragraphs matter, to whom, at what moment, and why.

AI that feels “human” in email is not about writing text. It is about understanding purpose.

The companies that solve this will not just automate communication. They will reshape how knowledge workers operate by shifting focus from writing to deciding.

Simple on paper. 

Exceptionally hard in reality.

I recently sat down with 🌎 Jessica from Forbes to discuss the last 10 months.

https://lnkd.in/de8irwv5

Open article: 4 Growth Strategies Behind A 10-Month Jump To $25 Million In Revenue by forbes.com

4 Growth Strategies Behind A 10-Month Jump To $25 Million In Revenue

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Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Archie Hollingsworth's LinkedIn Performance

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