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

FyxerAI

Fyxer AI is an email productivity tool that makes every employee 5x faster at responding to customers. Built to work for professionals who tend to hate new tech.

Fyxer AI organizes your team’s inbox, drafts extraordinary emails and writes better-than-human meeting notes, so they spend more time meeting prospects and closing deals.

Co-Founder and Chief Executive Officer

AI Circle

AI Circle is an invite-only community of AI leaders. Members in this exclusive community learn the latest in AI, build their professional network, and share best practice.

Founding Member

Rich bootstrapped Fyxer People to profitable, $5M, & the UK’s largest virtual Executive Assistant provider. 

Over nearly a decade, he oversaw the delivery of 500,000+ hours of EA workflow and training data, insights that now underpin Fyxer AI’s email sorting, reply drafting, and meeting notetaker capabilities. 

Though Rich, and his brother Archie, remain the company’s owner, they’ve stepped away from daily operations to focus on scaling Fyxer AI.

Co-Founder and CEO

Bull Moose Derivatives

I ran a team of traders working on the indices and fixed-income desks. I quit to build my first company.

Quant Trader

Rich is the Co-Founder and CEO of Fyxer AI. Their mission is to unlock the productivity of hard-working professionals who are held back by email. With Fyxer employees respond x5 faster. 

Before launching Fyxer AI, Rich built the UK’s largest Executive Assistant agency, Fyxer People. Over nearly a decade, Fyxer People amassed over 500,000 hours of EA workflow and training data, which became the foundation for Fyxer AI’s product; prioritizing emails, drafting replies, and writing meeting notes.

Richard Hollingsworth

Creating AI software that people actually use was our main goal when starting Fyxer AI.

- Set up has been to completely seamless.
- The product has to work straight away.

We're delighted that after a successful pilot Knight Frank, the oldest Real Estate company in the UK, is rolling Fyxer out to their UK agents.

Awesome work Violaine Yziquel and team


#buildingfyxer

We hire for 10x impact.

Which means we hire extremely deliberately.  

One person, with the right mindset and equipped with the right tools, can create the impact of ten.

10x doesn’t always come from working longer hours. 
It comes from original thinking, ownership, and being highly AI enabled, to remove the work that slows most people down.

Keeping the team as small as possible is a competitive advantage. 
A small team of exceptional people, working hard on a problem they care about, will always beat a larger, less focused team.



#buildingfyxer

Unreasonable focus will be the difference between us getting there or falling short.

If we don't hit our target, it will be because we weren't focused enough. 

The reality of achieving something that has never been achieved before, is that each day, each hour, you have to make tough decisions.

Focus takes discipline.

#buildingfyxer

Fyxer AI

400 million people are drowning in email.

And no one has cracked it because email highlights where computers fall apart; nuance, judgement, relationships.

Machines are brilliant at what humans can find hard… and pretty awful at what humans do naturally.
Fyxer AI is solving the problem others couldn’t.
From onboarding, to 12,000 people at WebSummit, we're banging this drum.

Archie Hollingsworth 
#buildingfyxer

High calibre talent moves fast. So do we.

Andrew Richardson turned a first-stage interview into a signed offer within 24 hours; with an in-person event and technical assessment in between.
Class act. 

Great talent doesn’t stay on the market.

Fyxer AI is becoming the place where ex-founders and CTOs choose to build.

#buildingfyxer

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