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What if your business could predict the future — even with barely any data?
In this episode, I sit down with Dash Tabor, founder and CEO of TUBR, a predictive analytics platform turning small data into big insights.
Dash started TUBR after one too many packed Tube rides in London — and ended up building a deep-tech company using a physics-based machine learning engine that helps small businesses forecast demand, sales, and staffing needs with minimal data.
But her journey wasn’t smooth.
She’s lost £500k in a day, rebuilt her team after losing her co-founder mid-fundraise, and turned down “life-saving” investor cash on moral grounds — all while keeping TUBR alive and growing.
We get into the raw parts of being a founder:
- Fundraising in a volatile market
- Building deep tech without a technical background
- Understanding investor psychology
- Rebuilding after disaster
- And why she left London for Sheffield
This is one of the most brutally honest founder stories yet.
Chapters:
00:00 - Why founders should never take “trenched” investor money
00:41 - Introducing Dash Tabor & the TUBR story
02:11 - The London Tube moment that sparked the idea
03:47 - From overcrowded trains to AI innovation
05:05 - What “machine learning” really means for small businesses
07:09 - Predicting croissants, customers, and chaos
08:57 - How much data is really needed for AI to work
10:21 - Sponsor: Opus — the network for entrepreneurs
10:41 - How Dash built deep tech without being a coder
12:28 - Leaving a stable job to build something from scratch
14:19 - When Liz Truss’ budget wiped out her customers overnight
18:09 - Losing her co-founder mid-fundraise
20:24 - Rebuilding the team from zero
21:09 - Hitting rock bottom — and the “keep going” moment
25:16 - The near-collapse and the ÂŁ10K that saved TUBR
26:17 - Fundraising lessons: quantity over tranches
28:22 - The reality of raising as a female founder
31:13 - How to “build the house you want to live in” with investors
32:32 - Saying no to bad money — even when desperate
35:14 - Choosing Sheffield over London
38:48 - Building community and talent outside the capital
39:28 - Finding balance (or trying to) as a founder
43:10 - Who TUBR serves today & their new product “Pulse”
45:57 - What’s next: partnerships, scale, and profitability
47:53 - The real answer: talent vs luck in startup life
49:49 - Where to follow Dash & TUBR
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In this episode of The Everyday Founder, James sits down with Tomas Helgaš, founder and CEO of Sutro — the AI platform that turns a single text prompt into a full production-ready app.
Before Sutro, Tomas worked at Facebook (helping power the “People You May Know” feature), then went on to build and sell Sphere to Twitter after raising $30M.
Now, he’s back for round two — building Sutro to change the way the world builds software. This conversation dives into the mindset, mission, and mechanics behind one of the most fascinating builders in AI today.
We discuss:
- Why Tomas left his dream job at Facebook to start Sphere
- How he built a company that became the foundation for X (Twitter) Communities
- The early days of Sutro and building secure, production-grade AI tools
- The tradeoff between shipping fast vs. building safely
- Co-founders, hiring mistakes, and second-time founder lessons
- How AI will reshape how software is built — and why security is the next big frontier
Chapters:
00:00 – Mission: change how the world builds software
01:18 – Intro: Tomas Halgaš, Sutro, Facebook → Sphere → Twitter
02:08 – Why go back after a successful exit
03:10 – Early bet on OpenAI (GPT-2) and text-to-app ideas
04:02 – Viral demos: prompt → live front- & back-end, fully deployed
05:12 – Sphere origin story & community product
07:42 – From partnership talks to Twitter acquisition
09:24 – Post-acquisition & starting Sutro (overlap period)
11:05 – Co-founder transition; going solo as CEO
12:21 – Sutro thesis: production software with guarantees
14:02 – Security horror stories & why prototypes don’t cut it
15:42 – Comp landscape: “shipping fast” vs “building safely”
16:57 – The mission (again): security-first software at scale
18:13 – Sponsor: Opus
18:38 – From prompt links to better human–computer interaction
19:13 – Product/LLM inflection points; scaffolds & reasoning
21:13 – Moving upmarket: serious, enterprise use cases
21:39 – Raising capital: when VC makes sense
23:16 – What a “good VC” actually does for founders
28:15 – Second-time founder perspective on investor value
28:42 – Family roots, teenage hacking, first sparks
30:16 – Silicon Valley internship & mindset shift
31:01 – Leaving Facebook: parental push & perspective
33:02 – Hiring mistakes at Sphere: brilliant but hard to work with
34:12 – New bar at Sutro: great humans, ex-founders
35:04 – Remote vs in-person; hiring uncommon talent
37:41 – Advice to younger self: read deeply, then build deeply
41:01 – Working with people: persuasion vs. coaching
42:03 – Coaching someone with a “dream job” to leap
43:18 – Calibrate at the best; then go build
45:21 – CTO vs CEO: different learning curves
46:04 – Big tech cycles & urgency vs comfort
47:03 – Co-founders: marriage, commitment, alignment
49:13 – The “F-you number” & exit alignment
51:21 – Host anecdote; aligning on outcomes
52:19 – Post-acq reality: agency & decision-making changes
54:21 – Corporate planning constraints & politics
55:24 – How to set better terms for future acquisitions
56:10 – Where Sutro is going
57:16 – Better models, but HCI is the hard problem
59:16 – English is ambiguous: need precise interfaces
1:00:19 – The compliance/security wave is coming
1:01:27 – Sutro’s advantage: guarantees, compliance, real software
1:01:54 – The next interface: text + visuals + flows
1:02:17 – AI moves fast; strategy expires quickly
1:02:39 – Luck vs talent vs hard work
1:03:39 – Where to follow Tomas & try Sutro
1:04:03 – Outro
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Riham Satti was on track for a life in academia — Oxford PhD, research papers, professorship.
Then she met her co-founder, built an app to get him a job at Microsoft, and accidentally uncovered a billion-dollar problem: human bias in recruitment.
Today, she’s the CEO and co-founder of MeVitae, an AI platform using neuroscience and data to make hiring fairer and faster.
In this episode, we go deep into what it really takes to go from academia to entrepreneurship — without the safety net of VC money or a Silicon Valley network.
Riham’s story is one of grit, grants, and growth — building a mission-driven business the long, hard, but sustainable way.
đź’¬ Watch this episode if you want to learn:
- How to turn research into a real business
- The neuroscience of bias and decision-making
- When to expand to the US (and how to know if you’re ready)
- Why compassion is a founder’s superpower
- How to stay in “startup mode” after 10+ years of building
🎧 CHAPTERS
00:00 – Intro: From Oxford to Entrepreneurship
02:00 – Falling in love with STEM and academia
05:30 – Building an app to hack into Microsoft
08:00 – The first 50k downloads that changed everything
10:30 – Discovering bias in hiring and founding MeVitae
13:00 – Bootstrapping with grants (no VC, no network)
16:20 – Early lessons in startup survival
18:40 – How bias actually works in the human brain
22:00 – The first enterprise client (and the chaos that followed)
25:00 – Building the MeVitae team and culture
29:00 – Expanding to the US — when and why
33:00 – Balancing perfectionism with speed
37:00 – The “10-year overnight success”
42:00 – Compassion, leadership, and building a real company
46:00 – What’s next for Riham and MeVitae
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Florian Ehrbar, founder of OnchainLabs, went from calling time on a failing consulting gig… to convincing the investor to back a new team and a new idea: connecting real-world assets (skis, classic cars, gold - even trees) to the blockchain with actual utility.
We get into radical candour, building “Wallet 2” that feels like email (not MetaMask), no-code tokenization, raising private capital, and leading a half-inherited team while staying focused when you could do everything.
In this episode you’ll learn:
- Why telling the hard truth can start your next company
- Funded-from-day-one: hidden pressures and how to navigate them
- Real user value in tokenization (CRM, warranties/insurance, provenance)
- UX trade-offs: self-custody vs ease, and designing guardrails
- The vision: a white-label, no-code RWA platform you can drag-and-drop deploy
Chapters
00:00 Intro — honesty when everything’s on fire
01:10 The investor asks “what now?” → forming the new team
02:36 Florian’s path: consulting → dating app → investments → founder
05:10 Quitting a safe career with a young family
06:19 Side-hustle vs jump: why he didn’t moonlight (and regrets it)
07:45 Funded from day one: blessings and pressure
09:06 The moment of candour that killed a project and birthed Onchain Labs
11:05 What Onchain Labs does (physical → digital, real utility)
12:54 Tokenizing luxury skis: CRM, insurance, activation incentives
15:04 Blockchain basics (wallets, ownership, self-custody)
17:22 UX reality: too easy vs too risky — finding the line
19:35 Classic cars & provenance: why digitised records matter
21:30 Leading a “half-inherited” team: empower vs decide
23:40 Focus when you can do everything: pick the beachhead
25:05 Building “Wallet 2” — make blockchain feel like email
27:10 Towards a no-code, white-label RWA platform
29:00 Commercial model: SaaS + transactions + implementation
31:05 Who it’s for: gold tokenization, consumer apps, and beyond
33:12 Ambition: the AWS/Shopify of tokenization (for non-financial assets)
35:00 Fundraising, unusual backers & validation moments
37:05 Founder life: work ethic, optimism, taking bigger risks sooner
39:00 Skill vs luck — and where to follow Florian
If this helped, hit like, subscribe, and drop a comment with the next founder you want on the show.
#Startups #Web3 #Tokenization #RWA #FounderJourney #Leadership #EverydayFounderPodcast
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Former RAF pilot turned deep-tech founder, Kyle Thomas is building SAIF Autonomy—the “application firewall” for autonomous systems. We get into embodied AI vs deterministic autonomy, what it takes to certify and deploy robots in the real world, the UK vs US VC mindset, nearly running out of cash (with £22 left in the bank), and why veterans often thrive in startups.
What's in the episode:
- Embodied AI in the physical world (and why “trust layers” matter)
- Defense to startup: decision-making under uncertainty
- Real use cases: drones, logistics, shipping, aviation, space
- Public perception & regulation: earning societal trust
- Raising $1.2M from Silicon Valley as a UK deep-tech startup
- Culture design: borrowing the best of military leadership
- Practical founder advice: start sooner, ignore the naysayers
Chapters:
0:00 Cold open — embodied AI, safety & “wrappers”
1:12 Intro — Kyle’s RAF background & SAIF’s mission
2:23 Military → startup: decision-making & stress tolerance
4:09 UK vs US mindset on speed, growth & work ethic
6:30 Meeting co-founder Matt; origins in RAF programs
7:22 Rapid Capabilities Office & TRL (3→7 fast)
8:42 From scripted autonomy to embodied, goal-based systems
10:03 Real-world examples (drones, Waymo, sidewalk bots)
11:01 Autonomy vs AI — clear definitions
12:53 Deterministic vs embodied AI (and their failure modes)
13:53 Today’s drone deliveries (hospitals, corridors, BVLOS)
14:10 Scaling without city-wide infrastructure
15:52 Proving it on land, sea, air… and space
18:19 Public perception, safety cases & building trust
19:13 Logistics, shipping & aviation use cases
20:06 “Application firewall” for autonomy (trust layer)
22:19 Fundraise story — $1.2M pre-revenue from Silicon Valley
24:03 Why UK/EU VC often feels like PE (risk appetite)
25:59 US lead, diligence, patents & why it clicked
27:12 UK engineering talent vs US scaling capital
29:05 CEO self-awareness: when to level up or step aside
30:39 Targeting specialist US funds next
33:17 Sponsor break — Opus community
33:49 Near-death runway tale: ÂŁ22 in the bank
36:50 Money lands at 8:22pm on New Year’s Eve
43:17 Split-second RAF story — refuelling saves lives
47:49 Why veterans can excel in startups
49:17 Culture & leadership: high trust, high standards
52:04 Practical rituals (socials, flexibility, outcomes)
55:11 Advice to younger self: start sooner, be bold
58:07 Founder communities: Opus, ICE, Founders Pledge
1:00:12 Be in the room — why London matters
1:01:12 Trust over impressions (in-person beats ads)
1:02:30 Luck vs talent (and timing)
1:03:55 Where to find Kyle (LinkedIn, site, IG)
1:04:45 Blog & updates coming soon
1:05:08 Outro
About Kyle / SAIF Autonomy
Kyle Thomas, Co-founder & CEO, SAIF Autonomy
Mission: a safety & assurance “trust layer” so autonomous systems can operate safely at the edge (air, land, sea, space)
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What does it take to raise $1.5M from 66 angels across 400 meetings?
Jamie Hamer, CEO of Loxa and founder of React News (acquired by Green Street), shares the unfiltered reality.
From walking away from a £150k salary to making 30 cold calls a day, Jamie is building one of the most ambitious insurtechs in the UK—backed not by VCs, but by a cap table stacked with mission-aligned angels.
In this episode of The Everyday Founder, we dive into:
- Why angels is better than funds (and how to manage 66 of them)
- The litmus test for picking advisors (time and money or nothing)
- The playbook for user research that doubles as early sales
- Why founder-led sales is still king in early-stage B2B
- How to build a team around “total ownership”
- What it’s really like to rebrand midstream
- And how to “increase the surface area of your luck”
If you’re raising, hiring, or selling at the early stage, Jamie’s insights are a masterclass in founder grit and strategic execution.
👉 Don’t forget to like, subscribe, and drop your thoughts in the comments.
Chapters
00:00 – Why advisors must have skin in the game
01:20 – Jamie’s journey: from P&G to React News
03:30 – Leaving a £150k salary to start up
06:00 – The power of user research (The Mom Test in action)
08:15 – Building and exiting React News
10:20 – Why angels beat VC funding
13:00 – How Jamie raised $1.5M from 66 angels
15:25 – Managing a cap table of 66 investors
18:00 – Co-founders, vesting, and avoiding dead equity
21:00 – Hiring playbook: KPIs, probation, and personality tests
24:00 – Total ownership as a cultural value
27:00 – Founder-led sales: why cold calling still works
31:00 – The pain (and lessons) of a rebrand
34:00 – Building Loxa: tackling insurtech complexity
38:00 – Transparency, trust, and fixing insurance for good
42:00 – Increasing the surface area of your luck
46:00 – Reflections on skill vs luck in entrepreneurship
49:00 – Jamie’s advice to early-stage founders
53:00 – Where to follow Jamie and Loxa
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Nikhil Arora has built a career at the intersection of leadership, global growth, and purposeful impact. Today, he’s the CEO of Epignosis, the company behind TalentLMS, serving 22M+ learners across 160 countries. But his story stretches far beyond EdTech.
From helping build Kazakhstan’s first stock exchange, to leading international growth at GoDaddy, scaling Intuit in India, and launching WeWork in Asia, Nikhil has lived and worked across 9 countries and 4 continents—all while keeping up a daily running habit.
In this episode, we cover:
- What it takes to step in as CEO after two founders step aside.
- How to balance mission and growth in a global SaaS company.
- Why listening tours with customers and employees shape better strategy than any playbook.
- Building culture across remote, hybrid, and global teams.
- Vulnerability, failure, and why leaders must lead with authenticity.
- The balance between being a missionary (purpose-driven) and mercenary (growth-focused) leader.
If you’re a founder, CEO, or aspiring leader, this conversation is packed with insights on scaling businesses, managing up, and staying grounded while running at speed.
⏱️ Chapters
00:00 – Declaring strategy vs listening first
01:00 – Introducing Nikhil Arora, CEO of Epignosis
02:00 – Building Kazakhstan’s first stock exchange
04:00 – What Epignosis does today
06:00 – Taking over from the founders
08:00 – Balancing preservation and change as CEO
10:00 – Product, customers, and culture as priorities
12:00 – Leading a 250-person global team
15:00 – Fireside chats, townhalls, and communication clarity
18:00 – Vulnerability, failure, and celebrating mistakes
22:00 – Creating a safe culture for feedback
25:00 – Clarity, guiding principles, and decision-making
27:00 – Staying focused and prioritising as a leader
30:00 – Red, yellow, green framework for CEO focus
33:00 – Managing energy, family, and fitness
36:00 – Mission vs mercenary: purpose and growth
40:00 – Managing up as an installed CEO
45:00 – The #1 mistake founders often make
48:00 – Why no one is truly self-made
50:00 – Keeping your network and mentors alive
53:00 – The importance of mentors (older and younger)
56:00 – Skill vs luck in business
59:00 – Where to find Nikhil online
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Richard Mabey left a comfortable career as a corporate lawyer at Freshfields to launch Juro, the all-in-one contract platform now trusted by Deliveroo, Cazoo, and hundreds of fast-scaling businesses. Since then, Juro has raised $38M+, grown to a team of 120+, and positioned itself at the forefront of AI-enabled legal tech.
In this episode of The Everyday Founder, Richard shares:
- Why he walked away from a secure legal career to pursue entrepreneurship
- How Juro landed its first enterprise clients like Deliveroo through co-creation
- The long road to product-market fit (and what retention really means)
- Lessons in scaling sales, hiring the right early team, and keeping culture intact
- Betting early on AI copilots and agents—and how that decision is reshaping the legal industry
- His honest take on self-doubt, work-life balance, and what really makes founders succeed
If you’re a founder, lawyer, or builder curious about the realities of growing a SaaS company in a competitive market—this conversation with Richard is packed with hard-won lessons.
Chapters:
00:00 – Why sales isn’t demand (and the role of marketing)
00:49 – Introducing Richard Mabey, CEO & Co-Founder of Juro
01:26 – Leaving law for entrepreneurship: riches-to-rags story
02:44 – The pain point that sparked Juro
04:00 – The inefficiencies of corporate law
05:15 – Taking the plunge despite pressure & self-doubt
07:24 – Early days: learning to code & finding a co-founder
10:10 – Raising seed funding & first customers (Deliveroo)
12:27 – Co-creating with early adopters
16:10 – Slow growth to product-market fit (4+ years)
18:30 – Defining product-market fit (retention & renewal)
21:09 – Building repeatable sales: from scrappy to scalable
23:36 – Why marketing came before hiring sales
25:22 – Content as Juro’s growth engine
26:06 – Founder self-doubt & keeping balance with family life
29:16 – Work-life balance & startup intensity
31:21 – Starting Juro while becoming a parent
33:07 – Early hires, talent density & culture fit
37:12 – Scaling the team from 30 to 100+
39:05 – Rethinking hiring in the AI era
40:51 – Why fewer people, but higher talent density, wins
41:22 – Picking the right VCs & long-term partners
45:28 – Radical transparency with the board & team
47:43 – Building trust with customers (handwritten notes & support)
50:20 – Using community to strengthen customer relationships
51:27 – Betting big on AI copilots & agents
55:09 – How AI is reshaping legal jobs
59:32 – Competing with incumbents & new AI-native challengers
1:02:12 – What’s Juro’s moat?
1:04:24 – The next 5 years for Juro
1:06:13 – Fundraising is just “stopping for petrol”
1:06:40 – Luck vs skill in entrepreneurship
1:08:41 – Final reflections & where to follow Richard
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In this episode, I sit down with Cecily Motley — founder of Harriet and previously the CEO of Motley, a direct-to-consumer jewellery brand that raised millions before collapsing in the wake of Apple’s privacy update.
We talk about the emotional toll of shutting down a business with your name on the door, the lessons she brought into building a venture-scale B2B company, and how she's leading a startup while raising two young children.
This is a conversation about resilience, reinvention, and what happens after your startup fails.
⏱️ CHAPTERS:
00:00 - Intro: Cecily’s story in 20 seconds
01:15 - Why her first startup, Motley, shut down
04:33 - The hidden costs of DTC and the iOS14 death blow
08:10 - The emotional experience of failure as a founder
12:00 - Starting Harriet: a complete pivot to B2B HR tech
15:45 - What Harriet does and why it matters
18:20 - Lessons from DTC applied to B2B SaaS
21:30 - Fundraising post-failure: the mindset shift
25:00 - What makes a defensible company in 2025
28:00 - Building while parenting: realities vs LinkedIn myths
32:40 - Maternity & paternity leave: how founders should lead
36:15 - Advice for founders dealing with failure
39:00 - The importance of self-identity beyond the startup
42:00 - Final reflections and Cecily’s founder advice
#Startups #Founders #B2B #DTC #Harriet #Leadership #TheEverydayFounder #Entrepreneurship
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Why This Founder Left a $160M Startup to Fix Supply Chains with AI
Cedrik Hoffmann is the co-founder & CEO of Ameeba, a startup bringing AI-powered intelligence to supply chain operations. Before that, he scaled and exited Valoreo — a $160M VC-backed roll-up of consumer brands across Latin America.
In this conversation, Cedrik shares the raw truth of leaving high-paid jobs, building in overlooked industries, and how personal loss and failure shaped his founder mindset. From hustling trade shows in Taiwan with no product, to raising millions and leading hundreds — this is a story of grit, reinvention, and staying obsessed with the problem.
—
Chapters
00:00 – The only career where failure is rewarded
01:00 – Cedrik’s early life and unlikely path to Goldman Sachs
03:00 – Realizing banking wasn’t the dream
04:40 – The turning point: advice from his wife
06:00 – Going all in: no business, no plan, just hustle
08:00 – Meeting Jack and taking over a Taiwanese factory
11:00 – How a cold call from old friends led to Valoreo
13:00 – Raising $160M and scaling across Latin America
15:30 – Why fundraising isn’t the milestone
17:00 – The truth about exit returns and dilution
18:50 – The origin of Ameeba and building the tool he wished he had
21:00 – AI in supply chains: hype vs real problems
23:30 – How Cedrik found the right co-founder
26:00 – Choosing co-founders like life partners
29:00 – Why co-developing with customers worked
32:00 – What most B2B founders get wrong about product
34:00 – The zombie tech stack inside global supply chains
36:00 – How geopolitics is reshaping where goods are made
38:00 – Nearshoring, cost misconceptions, and supply chain as a brand story
42:00 – Competing with Shein and surviving retail disruption
44:00 – Why founders need to understand their supply chain
48:00 – Balancing fatherhood and founder life
52:00 – Cedrik’s biggest failure — and what he learned
54:00 – Luck vs talent vs grit
56:00 – Where to find Cedrik online
—
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From the publisher's feed
Welcome to the everyday founder podcast with James Farnfield 👋🏽
James chats with everyday founders and ask them questions across a range of serious and lighthearted…
It’s time that we celebrate those everyday founders doing incredible things. Celebrating their successes, learning from their journey and supporting their future.
Enjoy 🚀
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