Mo Malayeri

Some of YC's hottest 🔥 startups need early team members. Want in? Fast growing, cracked founders, 3x Canadian salaries + equity. Spherecast (YC S24) - Founding LLM Engineer https://lnkd.in/gh2sS6RC Spur - Founding Engineer / Full Stack https://lnkd.in/gwnA3iCv Poka Labs - Founding Fullstack/AI Engineer https://lnkd.in/g94_F4nm Reprompt (YC W24) - Senior Software Engineer https://lnkd.in/gqxG43va RetailReady - Full Stack Software Engineer https://lnkd.in/g-GTMVVJ Indemni - Full Stack Engineer https://lnkd.in/g2fhqDF3 Coval - Senior Software Engineer https://lnkd.in/gQS6Zmcf Ultra - Senior Machine Learning Engineer https://lnkd.in/gR_GtAph Apten (YC S24) - Software Engineer (Full Stack) https://lnkd.in/gg8wyZvP 🔖 Save this post so you don't lose these links. 🚀 New startup opportunities dropping every week. Follow me to stay ahead of the curve.

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Service-based founders and businesses are not served in the current startup ecosystem in Canada as everything is designed to raise money: from press (it's 99% on fundraising), meetups, conferences and every single program. But there's a whole category of entrepreneurs that are building calm sustainable businesses. Profitable bootstrapped companies. This is exactly why we work with our community to bring these stories and have opportunities for founders to scale no matter what they are building. 🚀

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Dealwire.TECH Deal of the Week - March 14, 2026. Mind Robotics, $500M Series A - AI Robotics and Physical AI. The AI revolution is starting to leave the digital world. For the past few years, most of the breakthroughs in AI have happened inside software — language models, copilots, image generation, and automation tools. But the next frontier may not be on screens at all. It may be in factories. This week, Mind Robotics, a Palo Alto–based industrial robotics startup, announced a $500M Series A led by Accel and Andreessen Horowitz. The company, founded in 2025 by Rivian CEO RJ Scaringe, is already valued at roughly $2B. A $500M Series A is extremely unusual, especially in robotics. But the ambition behind the company explains why investors are willing to make such a large early bet. Mind Robotics is building what it calls a “Physical AI” platform for manufacturing. Instead of focusing on a single robot or piece of automation equipment, the company is developing a full stack that combines AI models, custom robotics hardware, and software infrastructure designed for deployment inside real factories. The goal is to solve a long-standing limitation in industrial automation. Traditional industrial robots are extremely precise but also extremely rigid. They work well when tasks are predictable and repetitive, but they struggle when environments change or when objects are irregular. Many factory tasks still require human dexterity and judgment. Mind Robotics is trying to change that by training AI systems that allow machines to adapt to complex physical environments — learning how to manipulate objects, perform assembly, and respond to variability in real time. One of the company’s most important advantages is its origin. Mind Robotics spun out of Rivian, giving it access to real manufacturing environments and production data. That creates a powerful learning loop: robots deployed in factories generate data, that data improves the AI models, and better models enable more capable robots. In many ways, this mirrors the trajectory we saw with autonomous driving systems and large language models — where real-world data becomes the engine that continuously improves performance. The bigger story behind this deal is that AI is beginning to move beyond software into the physical economy. Manufacturing, logistics, and industrial infrastructure are still far less automated than most digital industries, and the pressure to change is growing as companies face labor shortages, supply chain instability, and the need to produce more domestically. If the last decade of AI transformed knowledge work, the next decade may transform how things are physically built. Mind Robotics is one of the companies betting that the future factory will not just be automated — it will be intelligent. #AI #Robotics #Manufacturing #VentureCapital #PhysicalAI #DealWire

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Nvidia recently acquired CentML, a homegrown Toronto startup If you’ve never heard of them: They help companies squeeze way more performance out of existing hardware which, in today’s GPU-constrained world, is a very big deal. What makes this exciting isn’t just the acquisition itself but rather the trend behind it. Toronto is building globally relevant AI infrastructure. We’re seeing: - World-class talent spun out of universities and research labs - Strategic bets from firms like Gradient Ventures, Radical, and Thomson Reuters Ventures - Technical founders solving real, high-leverage problems Congratulations to the CentML team and everyone helping grow this ecosystem. More of this, please.

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🇨🇦 Our friends at SCALE AI | Canada's AI Global Innovation Cluster estimate that generative AI could boost Canada’s productivity by $26.5 billion if we adopt at scale. It is a bold number and a clear signal of what is possible. But here is the question that nags at me: can Canadian companies rise to the challenge fast enough? Yes, we have world-class research, talent, and emerging platforms. Yet when it comes to enterprise adoption, too many organizations are still stuck in pilots or debating governance while global competitors accelerate. I am starting to see progress in financial services and telco. Some leaders are taking AI-first delivery seriously, building the systems, data foundations, and governance that enable AI to deliver real outcomes. That is what it takes to unlock this opportunity. Canada has the chance to break free from its low-productivity cycle. The opportunity is real. The risk is that we hesitate while others scale. #AI #DigitalTransformation #CloudTransformation

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Latest, curated, updates on the landscape of AI-driven platforms & tools for alternative investment managers. 🌐VENDORS ADDED - Omega Point is an AI-native investment intelligence platform founded by Omer Cedar, a veteran of Two Sigma. The platform empowers investment professionals — including CIOs, portfolio managers, risk leaders, and data scientists — to harness data and AI for better investment decisions. Omega Point offers a no-code interface enabling teams to integrate diverse datasets and analyze portfolios through multiple analytical lenses including factors, themes, macro influences, and crowding data. - Simudyne develops enterprise simulation technology that fuses agent‑based modeling, AI and large language models to let institutions safely test‑drive decisions in high‑fidelity virtual replicas of complex systems such as capital markets and supply chains. Simudyne’s platforms create multi‑agent, graph‑based environments where millions of heterogeneous agents interact, generating realistic price formation, liquidity and contagion dynamics that traditional backtesting and closed‑form models cannot capture. Simudyne works with exchanges, global banks, asset managers, regulators and large enterprises to support use cases including market execution and algo testing, market structure research, systemic risk and stress testing. In our landscape https://lnkd.in/dh9KhDFZ you can explore and compare with other vendors. 📢 NEW & UPDATED FEATURES - Marvin Labs: AI Analyst Chat introduces slash commands, thread organization, and a pop-out view. - Unique's recent release notes detail significant improvements across chat experience, knowledge management, agent collaboration, and AI model infrastructure, aiming to enhance user functionality. 📖 RESEARCH, WHITEPAPERS & BLOGS - A discussion with Bipsync's CTO Craig Marvelley provides insights on building AI for investment teams - CARDO AI released a white paper titled 'Navigating redemption pressure in private credit' with insights into managing challenges within the private credit market. - Deal Engine blog: GPs must future-proof their AI roadmap as Frontier AI accelerates, making contextual infrastructure the defining competitive layer. - Carmen Li explains how Silicon Data builds robust GPU indices for the AI economy using global pricing data. - Snowflake research indicates AI-driven job creation is outpacing job loss, with 77% of companies reporting workforce gains due to AI. 🏭 COMPANY UPDATES & PERSONNEL - Rogo acquired Offset, expanding its capabilities. ☕ PARTNERSHIPS, CLIENTS & INTEGRATIONS - RavenPack and the Economist Intelligence: EIU integrate EIU's decades of global economic research, forecasts, and country analysis into enterprise AI workflows via Bigdata. All links and more news and information in our marketplace at https://qaike.com/ (free registration).

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Something business execs should be aware of. Mustafa Suleyman (CEO of Microsoft AI) just sat down with the Financial Times, and his timeline for AI driven professional services is aggressive: 12-18 months. He’s predicting that by then, AI will be capable of handling the heavy lifting for tasks usually reserved for lawyers, accountants, marketers and high-level pros. The shift isn't about replacement; it’s about elevation. We’re moving away from the "grind" of technical execution and into a phase where our value lies in strategy, orchestration, and human judgment. The tools are getting incredibly good, incredibly fast—which means we should be able to focus on the work that actually requires a brain. Is 12-18 months a realistic sprint, or is the "human element" harder to automate than he thinks?

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Agentic AI. Everyone's talking about it, but how many actually know its full potential. I wrote about it in a new op-ed for TheFutureEconomy.ca. What agentic AI actually means for Canadian businesses, why the gray zone between automation and human judgment is where the real value is, and how to move fast without losing control of what you're building. Canada has the talent. What we're missing is the urgency to implement. If you're a business leader trying to figure out where to start or how to accelerate, I think this one will resonate. Full piece here 👉 https://lnkd.in/eqKuPHkA

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Hey LangChain Toronto community! Come & see our very own Haider Zaidi where he will demonstrate DeepAgents, LangChain’s Open Source Deep Agents Framework, for developing long-horizon agents, with pre-built tools, filesystems and more. Haider will build an agent for one of the common agent patterns seen in Financial Services: a research agent, for diligence and deal research. Follow-along, ask questions about LangChain, and learn about the future of agents. #community #aitinkerers #toronto

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🔥 These are the hottest early-stage startups in #Canada that recently raised funding. And yes, they’re #hiring. If you’re looking to join breakout companies early, this list is for you. #startups 💱 Finofo Automating international payments, receivables & FX for businesses 💰$3.3M 🏥 LeoMed Remote patient monitoring software for home healthcare 💰$2.75M 🔥 Creative Energy Community energy solutions provider 💰$50M 💳 PayTic SaaS for card issuers & fintechs to digitize risk & compliance ops 💰$4M 🌍 CO280 Carbon-negative solutions helping businesses reduce emissions 💰C$1M 🧬 Ability Biotherapeutics Developer of potent, selective antibody therapeutics 💰$18M 🧠 Inference Labs Zero-knowledge cryptography to verify off-chain AI computations 💰$5.3M 👁️ PulseMedica Revolutionizing vitreoretinal diagnostics & treatments 💰C$12M 🛰️ Spexi Drone tech company reshaping high-res Earth imagery access 💰$11.5M 🔗 Hyperlume Inc. Optical connectivity for high-performance computing & AI 💰$12.5M 🔋 UgoWork Lithium-ion batteries & energy systems for industry 💰$26.25M 🏨 Germain Hôtels Family-run hospitality group with nationwide hotel network 💰C$160M 🩸 Synex Non-invasive blood testing technology developer 💰$21.8M 📈 Blossom Social Social investing platform empowering retail investors 💰$1.93M 🤝 Bloks AI copilot app for professional preparation & meetings 💰$1.5M ⚙️ Métaux Torngat / Torngat Metals Rare earth oxide producer using mining & recycling feeds 💰C$165M 🎮 Pok Pok Healthy, creative digital play experiences for kids 💰$6M 🌾 Verdi Bringing indoor farming benefits to outdoor agriculture 💰C$6.5M 🚤 ACEL POWER Electric outboard motor & lithium battery manufacturer 💰$10M ☁️ Deskree Cloud infrastructure automation platform 💰$1M 🏭 Xaba Inc. Industrial AI control systems for advanced manufacturing 💰$6M 📡 gaiia Telco operating system for billing, automation & operations 💰C$18M 🧪 Diagen AI AI platform for protein design in health sciences 💰$2M 💹 Fiscal.ai All-in-one research platform for investors 💰$2M 💧 Axine Water Technologies Wastewater treatment technology innovator 💰C$15M 🚚 Routific Route optimization SaaS for delivery businesses 💰$1M 🌊 Planetary Coastal carbon removal via ocean alkalinity enhancement 💰$11.35M 💻 Quadshift B2B SaaS group acquiring & scaling vertical software companies 💰$23M ⛏️ Rockburst Technologies CO₂-powered mineral processing technology 💰C$5M 💡 Like & repost to help your network discover amazing opportunities. 🔍 At Refery.io, we connect these startups with 𝘃𝗲𝘁𝘁𝗲𝗱 𝗿𝗲𝗳𝗲𝗿𝗿𝗲𝗿𝘀 — 𝘁𝗼𝗽 𝗳𝗼𝘂𝗻𝗱𝗲𝗿𝘀, 𝗼𝗽𝗲𝗿𝗮𝘁𝗼𝗿𝘀, 𝗮𝗻𝗱 𝗶𝗻𝘃𝗲𝘀𝘁𝗼𝗿𝘀 — who refer the best talent from their own networks. 🚀 Hiring? → Join Refery.io to access 𝘁𝗼𝗽 𝘁𝗮𝗹𝗲𝗻𝘁, 𝗳𝗮𝘀𝘁𝗲𝗿 𝗮𝗻𝗱 𝗮𝘁 𝟴𝟬%+ 𝗹𝗲𝘀𝘀 𝗰𝗼𝘀𝘁 than traditional hiring methods. #hiringalert #jobalert #hiringnow #engineeringjob

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This Founder’s AI Playbook is a great checklist for anyone building in AI. Focus on economics, moats, and trust, not demos.

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Spoke on stage at Renaissance AI+ in front of 2,000 people yesterday. The topic: Are AI-native startups optimizing the enterprise or rewriting it entirely? On the panel with me: → Selin Kocalar Co-Founder of Delve → Tanay Kothari from Wispr Flow → Ryan Wang , Co-Founder of Assembled → Jorge Torres , Co-Founder of MindsDB Moderated by Michelle Lim , Founder of Flint AI Here's what stood out to me from the conversation. The technology is moving fast. But enterprise buyers still buy the same way. They buy from people they trust. They buy from brands they've heard of. They buy because someone in their network already did. That means for AI-native startups, the real moat isn't just the model or the product. It's brand equity. It's community. It's showing up consistently until you become the default. Every founder on that panel understood this. Building great technology is table stakes. Earning trust at scale is the actual game. Grateful to the Renaissance AI+ team for putting this together. SF continues to be the center of gravity for this shift.

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This week I was invited to do karaoke with lawyers, bankers, and VCs - I call them friends! That's not normal in most cities. Web Summit just landed in Vancouver — Canada's biggest tech moment of the year. And what stuck with me isn't what happened on the main stage, I wasn't really there to see. It's that everyone showed up to the same rooms. Founders, the people who fund them, the people who write their contracts, the people who run the community events. Same mixers, same dinners, and maybe same karaoke booth at midnight. In bigger cities, this doesn't happen. Founders stay in one bucket, capital in another, services in a third. Everyone's optimizing their own funnel. Vancouver is small enough that we all have to show up to the same room. That's not a weakness. That's the moat. For years people have told us to act more like Silicon Valley. Bigger checks, harder edges, more swagger. But here's what I keep coming back to: independent coffee shops don't beat Starbucks by becoming Starbucks. They win by being the place where the barista remembers your kid's name. Local wins when it leans into local. Same thing for our tech ecosystem. We're not the next Silicon Valley. We don't want to be. We're Vancouver — and after this week, more of the world knows what that means. What's the moment from your tech community this week that actually stuck? #vancouvertech #websummit #founders

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If Netanyahu videos are Ai generated then I must say military grade Ai is far superior than what they are selling to us masses (VEO3,Sora)

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🤯 Signing a bank as a first customer?!? Tunga Bayrak, founder of Freya (YC S25) - AI Voice Agents That Sound Human, is talking about how they found their first customer during YC. Credit: the podcast of Imagine AI (YC F25) with hosts and founders - Sky Yang and Neo Lee. Link to the full episode down below👇

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The Digital Mirror of the Mind. 🧠 Looking back at my conversation with Amir Bozorgzadeh (Virtuleap), one insight keeps echoing: VR doesn’t just train your brain, it reveals it. Unlike 2D apps or tests, Virtual Reality mirrors the full human experience. Every subtle hand movement, gaze shift, or delay in response becomes data, a living cognitive fingerprint that shows how your brain actually functions in the real world. This is where Neurotech starts to evolve from theory to transformation. By engaging our motor control, spatial orientation, and physiology, VR gives clinicians a multidimensional view, the foundation for truly personalized brain health and lasting cognitive transfer. We’re not just measuring attention, we’re decoding it. 🔁 I’m curious, how do you feel about using technology as a mirror rather than a tool? 🎧 Listen to the full episode of ReeThink here: Spotify: https://lnkd.in/dqN3_HPV Apple Podcasts: https://lnkd.in/dTSssvUn YouTube: https://lnkd.in/dZbTgwy2 📚 Read the full episode summary on my Substack: https://lnkd.in/dCNhNtTf 👉 Join The ReeShaper Circle to connect with others shaping the neurotech industry: https://lnkd.in/d9D3JwZE

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Most people think you need to build a startup to contribute to the startup ecosystem. That belief is more limiting than helpful. Over the past few years, hosting The CTO Show With Mehmet Gonullu, speaking with hundreds of founders, CTOs, and builders across the world, I kept noticing a pattern. Some of the most valuable people in the ecosystem were not founders at all. They were connectors. Advisors. Operators. Investors. People who help ideas move forward. That realization is what led me to write my book. From Nowhere to Next: Startup Wisdom From Global Founders, Builders, and Innovators is not a typical startup book. It is a collection of lessons, patterns, and reflections drawn from conversations with builders across industries and geographies. The goal was simple: capture the practical wisdom behind the journeys. Not the headlines. Not the hype. The thinking that actually drives progress. If you are a founder, operator, or someone who wants to contribute to innovation without necessarily launching a company, you will find parts of your own journey in it. I’ll leave the book link in the comments for anyone curious to explore it.

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Most founders follow Make (Integromat) for flashy scenarios. The real edge is using their product updates as a roadmap for your startup’s ops. Here’s how Toronto founders can treat @make_hq like a free automation R&D lab: • Every week: skim their X feed → Flag: new integrations, AI features, interface changes • For each update, ask: “Can this remove a manual task from my funnel, onboarding, or reporting?” • Build 1 micro-automation per week: – Route new leads to the exact right pipeline + Slack channel – Auto-onboard newsletter signups into a Notion/CRM workspace – Trigger user success sequences when product events fire In 90 days, you’re not ‘playing with automation’—you’ve quietly built a scalable operating system. If you’re using Make updates to drive real workflow changes in Toronto, reply with what you’ve automated. Let’s turn those product tweets into founder leverage.

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Türkiye’s startup ecosystem is gaining real momentum, and the numbers back it up. In Q2 2025 alone, local startups closed 46 deals worth $857.9 million, up from $558.8 million a year earlier. Fintech, gaming, and AI continue to dominate, and Istanbul has now been listed among the “Emerging Ecosystems” in the Startup Genome 2025 report. What’s changing isn’t just the money, it’s the mindset. Founders are becoming more investor-ready, more global, and more focused on translating technical depth into commercial clarity. I’ve seen many teams build solid products but struggle to communicate their value beyond our borders. The next wave of Turkish startups will need to balance engineering precision with narrative clarity to truly scale. Curious to hear from others following the space, what do you think is Türkiye’s strongest advantage in this new investment cycle? #Startups #VentureCapital #Turkey #Innovation #Engineering #AI #Fintech #Gaming

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