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Podcast
Our interview
3 AI Jobs You Can’t Miss
What's trending in AI this week
Community Update
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🎙️ This Week’s Interview
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AI Founder Story
Spur’s one-engineer engine: how Royal Tomar turned late-night IG comments into AI teammates
Quick Background
Royal Tomar is the co-founder of Spur, a bootstrapped, profitable company that began by auto-replying to Instagram comments, expanded across WhatsApp/Facebook, and now ships AI teammates + Live Chat that businesses can add with a single line of code, no platform handcuffs, no support mazes, just outcomes. Spur today positions itself as a multi-channel AI agent for marketing and support that helps teams “sell more, support better, automate everything.”
From “price pls?” to product links
The first spark wasn’t a model; it was a pain: D2C brands drowning in night-time IG comments like “price?” with no one replying. Spur’s v1 mapped comment intent → product link and felt “magical” to customers, creating pull for deeper automation and more channels.
The hard pivot nobody wanted (but everyone needed)
WhatsApp scaled revenue but not sanity. Onboarding was complex, numbers got banned, support was heavy. So the team cut platform dependency and moved to owned Live Chat + AI teammates, keeping revenue risk low while unlocking product-led growth. One line of code in, value out.
Key Achievements & Insights:
The Problem Today →
Support is fragmented across IG/WA/FB. Customers expect instant answers. Onboarding to third-party messaging stacks is brittle and slow. Re-engagement on IG is limited. Teams bleed time.
The Breakthrough →
Start with one painful JTBD (comment-to-cart on IG), earn trust, then layer channels, then graduate to owned Live Chat + AI teammates so value isn’t gated by platform rules.
The Proof Story →
Bootstrapped and profitable, ~500 customers, lean team of 7 with one core engineer, and ~$300k ARR. Growth driven by customer love, agency partnerships, and SEO that actually works. Spur publicly frames itself as helping 300+ D2C brands reduce response times and lift sales, aligning with the above trajectory.
The Big Example →
Partnerships with agencies (referral 15–30%) opened EU/US logos. Meta Tech Partner status + directory listings drove consistent, high-intent leads, and the team even built a side project to learn SEO by doing, then piped those learnings back into Spur.
Why It Matters (vision line)
AI doesn’t replace support. AI makes support human-scale. Spur’s agents resolve ~70–75% of conversations and escalate elegantly to humans when judgment matters, embodying the modern bot-to-human handoff playbook.
Watch the full interview below! 👇
The Ultimate Lesson
Market > Team > Product
Pick a huge market, then assemble a team that learns faster than it hires, then ship the smallest product that crushes the top pain and keep reopening the shop every morning.
Own the channel, own the destiny
Platform leverage kickstarts growth, but owned surfaces (Live Chat + AI teammates) compound it. Setup in minutes, iterate without approvals, and let usage (AI credits, not vanity clicks) be the north star.
Could your support queue be 70–75% lighter without adding headcount? Watch how Spur routes the routine to AI, the risky to humans, and turns directories + SEO into steady intent. Read the full interview →
JOIN THE AI REVOLUTION
AI JOBS YOU CAN’T MISS!
💼 Senior Design Engineer @ n8n
📍 Germany (remote-first across Europe/US) | 💰 Competitive
n8n helps technical teams automate faster and smarter by orchestrating AI-powered workflows, combining the freedom of code with the speed of no-code to scale ideas without limits.
They’re hiring a design-systems-focused Senior Design Engineer to build and scale a world-class design system (Vue.js) and raise product quality and consistency across the platform.
You’ll:
Lead and evolve n8n’s design system—building/maintaining reusable Vue.js components and setting governance & documentation.
Ensure feature quality end-to-end: review pre-release UX/visual polish, align to accessibility standards, and optimize performance.
Partner across design/engineering/PM to translate patterns into production-ready components and drive consistent adoption.
Ideal for: Craft-plus-code designers with JS/TS (Vue) who value open source & accessibility.
💼 Software Engineer, Full Stack @ OpenAI
📍Seattle, United States | 💰 $255,000–$405,000
OpenAI brings products like ChatGPT and the API to the world, prioritizing safe, responsible AI deployment at massive scale.
They’re hiring a full-stack engineer to ship new user-facing features and scale products that put cutting-edge models in millions of hands.
You’ll:
Own end-to-end development of ChatGPT features and product experiences.
Talk to users, turn needs into product, and iterate with research on the latest models.
Build across the stack (React/JS, Python, Postgres) and optimize for speed, scale, and reliability.
Ideal for: 5+ years building product at pace; strong JS/React plus backend (Python preferred); DB chops; curiosity for AI/ML.
💼 Cloud GTM Partnerships Lead, EMEA @ Anthropic
📍London, United Kingdom (hybrid ~25% in-office) | 💰 $215,000–$250,000 base + equity/benefits
Anthropic builds reliable, steerable, and safe AI and is scaling adoption across EMEA with top cloud partners.
They’re hiring a cloud GTM leader to own hyperscaler partnerships (e.g., AWS, Google Cloud) and drive large-scale revenue growth across the region.
You’ll:
Build and execute the EMEA cloud GTM: co-sell motions, enablement, joint business plans—owning pipeline, forecasting, and targets.
Forge executive relationships and lead joint marketing/sales plays and major customer pursuits; run QBRs and expansion initiatives.
Stand up repeatable partner ops (reporting/escalations) and align with US GTM to scale programs across markets and segments.
Ideal for: 10+ yrs enterprise tech with 7+ in strategic partnerships/sales, proven EMEA cloud GTM wins, strong exec presence, and program/ops excellence.
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TRENDS
What's trending in AI
AI Mattress
Key Player: Brands like Eight Sleep, Sleep Number (Sleeptracker‑AI), and Tempur‑Pedic smart bases lead with sensor‑rich, adaptive systems.
Market Value: Smart mattress demand is rising with sleep‑tech growing mid‑single digits annually through 2030 as it shifts into health monitoring.
Adoption: Health‑conscious consumers, athletes, and biohackers use AI beds for recovery, with integrations into health apps and smart homes.
Recent Developments: Real‑time firmness zoning, active cooling/heating, anti‑snore auto‑tilt, and longitudinal sleep health reports.
Growth: Discovered December 19, 2024 with 246K search volume and +5300% growth, clear mainstream momentum. Interest is propelled by personalization, recovery benefits, and seamless app ecosystems.
Why It Matters: AI mattresses turn passive bedding into an always‑on sleep lab, pairing objective data with automatic adjustments to improve rest, performance, and wellbeing
The Big Picture: Beds are becoming health platforms with software layers (subscriptions, insights, coaching), creating opportunities for partnerships with wearables, insurers, and providers, while elevating data privacy and clinical validation as differentiation.
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