Most organisations believe they’re compliant on slips — until the next claim lands.

The procedures are there.
The signage is out.
The cleaning is done.
Yet incidents continue, claims rise, and costs follow.

It doesn’t have to be this way.

With the right, evidence-based approach, slip accidents can be reduced by 57%+, and risks controlled at a level that is defensible to insurers, auditors, and the courts... when it matters most.

My focus on slip risk began after a life-changing accident where a vehicle mounted the kerb and ran me over. That experience shaped a simple mission: reduce the 500,000+ avoidable slip accidents that happen every year.

Today, I help organisations in leisure, retail, healthcare, manufacturing, transport, and hospitality to:
• Reduce slip accidents
• Defend and avoid costly claims
• Gain confidence their floors are safe, compliant, and provable

How we do it

Diagnose
Quantify real slip risk using HSE-approved pendulum slip testing.

Solve
Apply targeted anti-slip treatments to make unsafe floors safe — even when wet.

Maintain
Keep floors safe over time through planned preventive maintenance, supported by insurer- and court-ready certification.

This approach is already saving clients £10m+ per year in avoided claims, while delivering safer environments for staff and the public.

I’m also the Amazon #1 best-selling author of Prevent Slip Accidents With Slipology and host of the Safety & Risk Success Podcast, where I explore how better risk thinking leads to better outcomes.

If reducing incidents, protecting people, and controlling costs matters to you, the best next step is simple:

👉 Explore the free tools in my Featured section or send me a DM.

Christian Harris

Sunday’s top 8 slips 😅

Because if you can’t laugh and learn, you’re missing half the value.

Enjoy the tumbles, then remember:

Performance > Perception.

#SafetyHumour #SlipSafety #ChristianHarris

Reducing Slip Risk, Defending Claims & Cutting Costs | Evidence-Based Slip Testing & Anti-Slip Treatments for Safer, Defensible Floors | Founder, Slip Safety Services

Yurii Filipchuk 🇺🇦 -- e/acc

Founder @ Stealth AI |TechStars AI Startup Weekend SF

I build Principle, a simulation engine that stress-tests business decisions before you commit capital.

I also run partnerships and sponsorships at Techstars Startup Weekend SF and Catalyst Bay. We're a community of 10,000 founders doing IRL events in San Francisco.

Chaotic Good is my operating system. Move fast, challenge conventional thinking, put powerful tools in more hands. I believe that's how you actually make the world better. Big believer in pay-it-forward culture. If you have an idea on how we can help you or you want to help us, reach out.

The LLMs you choose say something about you. I'm team Claude for work. NotebookLM and Gemini for research. ChatGPT and Groq for personal life questions.

Previously CEO of Party.Space. Spotify was my first client, then Google, Zapier, Grammarly, UC Berkeley. Raised $2M from top European VCs.

I advise early-stage founders on fundraising and GTM. Been on both sides of the table. Invested through CYFRD: 15 deals, 2 exits.

San Francisco. Born in Kyiv.

Community Lead: Vibes & Sponsorships | Pitching Mentor

At Techstars Startup Weekend SF AI, we're hosting a fast-paced, 3-day event where tech enthusiasts come together to bring AI startup ideas to life. My role is to create an energetic and welcoming atmosphere, build connections with important sponsors, and guide participants in making their pitches clear and impactful.

Google DeepMind just ran their first Startup Session.

Got the invite from Matt Ridenour - thanks for putting this together and MCing the whole thing.

Direct access to the teams building the models. That's rare.

What they showed:

1/ Austin Sendek on materials science - his team's GNoME project discovered 2.2 million new crystal structures. That's roughly 800 years of materials knowledge generated by AI. Wild number.

2/ Genie 3 - a generative world model trained on internet videos. You describe an environment, it builds a playable 3D world in real time at 720p. Already shipping as Project Genie for AI Ultra subscribers.

3/ Anshul Ramachandran on Antigravity - DeepMind's agent-first IDE. An AI Editor, Agent Manager and Agent-Controlled Browser working together. Task-level coding, not line-by-line.

4/ Nano Banana - their image generation model that pulled 10M+ new Gemini users and 200M+ edits in the first weeks. Now powering the whole Genie world-building pipeline.

And Paige Bailey generated Hindu electro pop live on stage with Lyria. Totally awesome!

Great seeing old friends like Naji Barnes-McFarlane!

Google've been always supporting startups. Good to see them opening the lab doors.

Yurii Filipchuk

AI Simulation Platform for Business Decisions | Chaotic Good 🇺🇦

The state of GenAI video no longer surprises me🤖

So we started making our own. Episode 1 of "LockedIn" is out. Who else gets frustrated receiving AWS/GCP bills?

Where should we channel the creative energy next -- something more satirical or slightly educational?

P.S. Those worms are adorable and they deserve their own show. Someone talk us out of it.

We act like AI showed up yesterday.

1951 - Christopher Strachey wrote a checkers program on the Ferranti Mark 1. A room-sized machine playing board games. That was the first AI.

1966 - MIT built ELIZA. A chatbot pretending to be a psychotherapist. People got emotionally attached to it. 58 years before ChatGPT.

1972 - MYCIN diagnosed blood infections better than most doctors. An AI system. In the seventies.

By the 1980s, companies were spending millions on expert systems that mimicked specialist knowledge. Then the hype died. Funding dried up. They called it the "AI winter."

We've been through this cycle before.

When was the first time you used a product and thought "wait, is this AI?"

early ai cases 

Dropping a new episode of LockedIn. Inspired by a real story this time!

Hamudi Naanaa and Volodymyr Panchenko hit Anthropic's Tier 4 token limit mid-hypergrowth. 4 users to 1,400 in 3 days. 2b tokens a day! 

Their words: "A two-day response cycle doesn't match the speed we're operating at -- for us, it's 1–2 hours."

They switched to Gemini overnight. A constraint forced it.

What's the ceiling your team hasn't hit yet -- but will?

taplio

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Yurii Filipchuk 🇺🇦 -- e/acc

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taplio

The Battle

Christian Harris

Yurii Filipchuk 🇺🇦 -- e/acc

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Posts

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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);}Christian Harris's LinkedIn Performance

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Performance ScoreChristian Harris's LinkedIn Performance