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Wickey
@Wenzi_WW
Cybersecurity, AI, Investment | podcast: Innovator Coffee (Opinions on my own)
91 Following    477 Followers
In next episode's podcast, we sit down with Austin Mejia, founding PM from @PLAUDAI for the #humanX# 2026 onsite live podcast. Stay turned.... @BillSun_AI "The relative value of a conversation and memory of that conversation is variable, but the cost of inference for that conversation is fixed." Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of #AI# and #innovation#. Follow us on Sportify, YouTube and Apple to like, share and comment. You will find the full session below next week: #Innovatorcoffeepodcast# #AI# #innovation#
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Recently, there are more coconuts than seeds. 🥥🌱😂
Mark as reference. Thanks for sharing @deedydas Lately, it really feels like AI isn’t “the future” anymore, it’s already becoming part of our everyday work and life. It seems what AI Neolabs want to do is actually pretty simple: use AI in real-world scenarios and make it genuinely useful, not just something that looks impressive. I wish that AI can also help train those who are fresh graduated and who needs to re-fresh the skills in the job market, it will eventually help the most important part: people! What’s something you’ve been using AI for recently? Any moment that made you think, “Wait… this can do that too?” 😊 #AI# #AIAgent# #ArtificialIntelligence# #Automation# #futureworkforth#
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Today we had a great discussion on Airbnb type data center at your backyard, #AI# agent security and more. @TechstrongTV @mvizard
Google Wants Control | NVIDIA Builds the Pipes | SAP Goes All In
Product-Market Fit Happens at Different Speeds Everyone talks about PMF like it’s the finish line, but it’s really just the point where the market gives you permission to keep going. A lot of founders assume fast PMF automatically means a better company, but history doesn’t really support that. Roblox took almost 10 years to become Roblox. Airbnb looked fragile and uncertain for years before it became inevitable in hindsight. Most startups don’t actually die because the market is too small or the idea is terrible. A lot of them die because the founders lose conviction before the insight has enough time to compound. When you’re in the middle of it, it’s very hard to tell the difference between “this isn’t working” and “this just needs more time.” Another thing people miss is that PMF looks completely different depending on the market. Consumer #AI# companies often show PMF through explosive growth, virality, and rapid adoption. Security companies can look almost slow from the outside, but their PMF shows up through renewals, large contracts, and deep customer dependence. That’s why comparing PMF timelines across industries is dangerous. Wiz got to $100M ARR with only a few hundred customers because each customer had enormous pain and very high willingness to pay. That signal is just as real as a product growing through millions of users. In the end, the speed of #PMF# mostly depends on two things: how quickly customers understand the value, and how long their organization takes to actually act on it. A consumer can make a decision in 30 seconds. A large enterprise might take 9 months, multiple approvals, and procurement reviews. Sometimes slow traction means weak demand. But sometimes you’re just building in a market where trust and buying behavior naturally move slower. The hardest part is that you usually can’t tell which situation you’re in until years later. #ai# #security# #PMF# #investment#
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In today's podcast, we sit down with @indigox, the co-founder of Weibo, a social media platform (Like X in US). AI investor who has backed Anthropic, Cohere, #xAI#, TogetherAI, Lambda, and #SpaceX#. @BillSun_AI "Many investors can't be entrepreneurs and entrepreneurs can't be investors either. These are two completely different ways of thinking." Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us on Sportify, YouTube and Apple to like, share and comment. See full session below:
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Galini is a forward-deployed AI team for mid-market companies that are struggling to realize measurable value from #AI#. They pick 1–2 high-#ROI# workflows and work side-by-side with your teams to scope, design, and build the solution in your environment over 8 weeks with affordable price, so your team builds the capability alongside them. Founders are ex-McKinsey and ex-Bridgewater (SRE), on the path to Anthropic Partner Network. #AIadoption#
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Budget AI vs Premium AI: The only PMF question that matters: Is the problem you're solving worth the price you're charging? Budget AI wins on volume × good enough. Premium #AI# wins on quality × irreplaceable. Both need to find the space the other can't touch. For Budget AI builders:Your moat is razor thin. A cheaper model ships every quarter. If your only edge is price, you don't have an edge. For Premium AI builders:Your "irreplaceability" is being eroded constantly. You need to keep moving, or Budget AI catches up.
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In today's podcast, we sit down with indigox, the co-founder of Weibo, a social media platform (Like X in US). AI investor who has backed Anthropic, Cohere, #xAI#, TogetherAI, Lambda, and #SpaceX#. @BillSun_AI "I think everything is media, and that's the most important thing. You have to get attention, otherwise it's really hard to survive. Whether you're building a brand, running a fund, or making a product, it's all the same." Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us on Sportify, YouTube and Apple to like, share and comment. See full session below:
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Three more things are still blocking mainstream #AI# adoption: 1. Reliability AI systems are impressive in demos, but inconsistent in the real world. They hallucinate, misinterpret context, and occasionally fail at basic tasks. That’s fine for experimentation. Not fine when you’re handling real operations. Until outcomes are predictable, businesses will hesitate to fully rely on them. 2. Evolving regulations and change management The rules are still being written. Governments are actively shaping policies, and companies don’t want to bet big on something that might be restricted tomorrow. Adopting AI isn’t a plug-and-play upgrade, it reshapes workflows, roles, and accountability. Most organizations aren’t ready for that level of change yet. 3. Integration complexity AI doesn’t live in isolation, it needs to connect with existing systems, data pipelines, #privacy# and #security# layers. These hurdles explain why AI feels everywhere in conversation, but still not fully embedded in everyday business operations. Also there is an AI native vs #Saas# AI competition as well. It will take sometime.
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In today's podcast, we sit down with indigox, the co-founder of Weibo, a social media platform (Like X in US). AI investor who has backed Anthropic, Cohere, #xAI#, TogetherAI, Lambda, and #SpaceX#. @BillSun_AI "You can't replicate an organization like Microsoft, but you can replicate an agent or the structure of a swarm of agents." Welcome to the Innovator Coffee, a podcast that bridges the gap between people and the world of AI and innovation. Follow us on Sportify, YouTube and Apple to like, share and comment. See full session below:
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