🎞YouTube SKY-HI 「Future In My Pocket feat. TAIKI (STARGLOW), GOICHI (STARGLOW)」 Music Video from NEW ALBUM #SuccessIsTheBestRevenge# #FutureInMyPocket# #TAIKI# #GOICHI# #STARGLOW# #SKYHI　# @starglow_bmsg @SkyHidaka

The CHI Community Sale is officially SOLD OUT! Thank you to everyone who registered, verified and committed our Community Sale on Sonar, powered by @echodotxyz × @coinbase Your support helps carry Gotchi from one live vertical to a full Consumer AI ecosystem, with CHI as the shared layer across it: access, rewards, AI experiences, partner campaigns, governance and commerce. Same Dino. Much bigger world. 🦖

The Gotchi ecosystem starts with something real. Sleepagotchi is already live. 500K+ registered users. ~80K daily actives. Live AI product. From that foundation, Gotchi Labs is expanding into new Consumer AI verticals. Keep an eye on the horizon ☁️ Gotchi is in the air.

Big update from Sleepagotchi 🦖 Over the past few years, we've built, tested and learned a lot about how AI can fit into everyday life. Sleep was our first focus. It gave us a huge amount of real-world context, and the perfect place to prove that specialized AI can do more than answer questions. Now we're building on that foundation. Introducing Gotchi Labs: our bigger vision for Consumer AI. Sleepagotchi becomes our first live vertical, focused on Health & Wellness. Our agents are already helping users make sense of sleep, recovery, activity and wearable data, with more experiences across wellness and nutrition coming next. From there, Gotchi will expand across Shopping & Commerce, Fitness & Exercise, Productivity & Daily Life, and eventually Personal Finance, building specialized AI agents around more of the things people do every day. Each vertical brings its own specialized agents and new ways for AI to become genuinely useful in everyday life. As Gotchi ecosystem expands beyond sleep, the token is evolving with the ecosystem. $SLEEP is becoming $CHI. $CHI reflects the wider Gotchi ecosystem we’re building. It will be the common layer for access, rewards and commerce across Gotchi products, agents and experiences as new verticals and partners come online. Sleepagotchi becomes the first live vertical in a much bigger Gotchi ecosystem. Same Dino. Much bigger world. 🦖 Welcome to Gotchi Labs.

.@a16z's Consumer AI Study Signals: Consumer AI is moving from general-purpose tools toward daily, specialized and context-rich experiences. The Top 100 Gen AI Consumer Apps — 7th Edition (a16z) The latest edition of Andreessen Horowitz’s Top 100 Gen AI Consumer Apps, published in October 2026, provides a useful lens on that transition. Nearly half of U.S. consumers now report using AI, yet only 25% use it daily. As of August, just 4.5% of U.S. consumers had an active paid personal subscription to ChatGPT, Gemini or Claude. That market structure closely aligns with the thesis behind Gotchi Labs: the next phase of Consumer AI will increasingly be built around specialized agents, persistent personal context, high-frequency use cases and business models that extend beyond subscriptions. Gotchi Labs is building a multi-vertical Consumer AI platform for everyday life. Its first live vertical, Health & Wellness through Sleepagotchi, gives the platform an existing consumer base, live AI product and real-world behavioral data from which to expand into Fitness, Nutrition, Shopping & Commerce, Productivity & Daily Life and Personal AI. The relevance of the a16z data is structural rather than an endorsement of Gotchi specifically: many of the market shifts it identifies are the same ones Gotchi Labs is being designed around. The next Consumer AI challenge is depth of usage A16z describes Consumer AI usage as broad but still relatively shallow for most users. Nearly half of American consumers have adopted AI, but only one in four use it daily. The first phase of Consumer AI was largely about demonstrating that millions of consumers would interact with AI. The next phase is likely to be about building products with enough recurring utility to become part of everyday behavior. This favors categories where consumer context changes continuously and where there is a natural reason to return frequently. Health and wellness is one such category. Sleepagotchi already operates as Gotchi Labs’ first live vertical, with an AI Sleep Coach that converts sleep, activity and recovery signals into personalized intelligence and recommendations. It is device-agnostic, with integrations spanning Apple Watch, Fitbit, Oura, WHOOP, Xiaomi and Mi Band, while also supporting phone-only tracking. That creates a fundamentally different relationship between a consumer and AI. A general-purpose assistant typically begins when the user submits a prompt. A health agent connected to real-world signals can begin with context: how the user slept, how active they were, how recovery is changing and how those patterns evolve over time. The opportunity is therefore not simply to answer more questions. It is to make AI increasingly relevant because it understands more about what is actually happening in a consumer’s life. A16z is seeing the emergence of the personal-agent layer The second important signal in the latest a16z research is the acceleration of personal agents. Six months ago, a16z argued that many agent products were still too technical for mainstream consumers. Its latest data shows meaningful movement: multiple consumer and prosumer agent startups now report hundreds of thousands of users, while major technology platforms have also launched personal-agent products. A16z notes an important product distinction. More specialized consumer agents increasingly have their own mobile or web experiences, allowing them to go deeper into a specific use case rather than trying to solve every problem through one universal interface. That is closely aligned with Gotchi Labs’ multi-vertical architecture. Gotchi is not being built around the assumption that one generic assistant should perform every consumer task equally well. The platform model is based on specialized agents serving distinct areas of everyday life, while benefiting from a broader layer of consumer context. Sleepagotchi establishes the first part of that model in Health & Wellness. From there, Gotchi Labs is designed to extend into Fitness & Exercise, Nutrition, Shopping & Commerce, Productivity & Daily Life and Personal AI. A sleep agent can understand recovery and sleep patterns. A fitness agent can understand activity and training. A nutrition agent can build around dietary behavior and goals. A commerce agent can eventually use relevant context to improve discovery and recommendations. The strategic value comes not simply from operating several AI applications, but from building multiple specialized consumer experiences around an increasingly rich understanding of the user. Persistent context may become one of Consumer AI’s most important advantages. Context becomes particularly important as AI moves from answering questions toward helping consumers make decisions. A16z’s work on AI and commerce identifies identity and memory as core infrastructure for useful consumer agents. Agents that understand previous behavior, preferences and changing needs can make materially better recommendations than systems starting from zero each time. The same principle extends well beyond commerce. Gotchi Labs already begins with a source of persistent real-world context through Sleepagotchi’s wearable and phone integrations. Sleep, recovery and activity signals are generated continuously, rather than only when a user decides to interact with an AI interface. That matters because the quality of a specialized agent is increasingly a function not only of the underlying model, but also of the context available to that model. As Gotchi expands across additional verticals, the potential context becomes broader. Health can inform fitness. Fitness can inform nutrition. Preferences and recurring behavior can inform commerce. Individual agents can remain specialized while the broader platform develops a more complete understanding of the consumer. This is where a multi-vertical model becomes materially different from a portfolio of disconnected AI applications. Gotchi begins with distribution already in place Distribution remains one of the hardest problems in consumer technology, and Consumer AI is no exception. Gotchi Labs begins with an existing audience rather than having to build the platform first and acquire consumers later. Sleepagotchi has 600,000+ registered users and 144,000+ monthly active users. It has distribution across 500,000+ Jambo phones, more than 28,500 Solana Seeker installs, and has generated approximately $951,000 in historical product and partnership revenue. This gives the broader Gotchi platform an important starting advantage: a live specialized AI product, an existing consumer network, real-world data inputs and embedded device distribution. Sleepagotchi has aised more than $8 million from institutional investors including 6th Man Ventures, Collab+Currency, 1kx, AllianceDAO, Sfermion, GSR, Signum Capital, Everyrealm, Primal Capital and Ghaf Capital. For a multi-vertical strategy, that existing distribution is especially relevant. New verticals do not necessarily begin from a zero-user cold start. They can be introduced into an ecosystem that already has consumer relationships and behavioral context. The current Consumer AI business model is heavily concentrated around subscriptions The latest a16z data also highlights how early Consumer AI monetization remains. Among the 44 AI-native products in a16z’s top web rankings, 84% offer paid subscriptions and 64% monetize through usage charges or additional credits. Only 14% monetize through advertising, while just 2% generate revenue through transaction or platform fees. That distribution is revealing. The dominant Consumer AI business model today largely asks users to pay directly for access to intelligence. That works particularly well for power users who receive measurable economic or productivity value from AI, but it may be less effective as the market expands toward mainstream everyday use. A16z’s spending data reinforces the point. The top 1% of AI payers account for 19.5% of all observed Consumer AI spending, more than the bottom 50% of spenders combined. Those top users spend an average of $903 per month, compared with approximately $25 per month for the median AI payer. Andreessen Horowitz In other words, Consumer AI has built an extremely valuable power-user market, particularly around productivity, coding and creation. The next opportunity is reaching consumers whose use of AI is tied to everyday activities rather than primarily work. A16z explicitly points toward personal agents as one potential path to a different economic model. As AI begins to generate attributable purchases, monetization can expand toward affiliate economics, transaction fees and take rates, rather than requiring every user to maintain another software subscription. This is highly relevant to Gotchi Labs’ broader platform design. Gotchi is built to support monetization across subscriptions, AI credits, partner campaigns, marketplace economics, affiliate commerce and, over time, agent-mediated commerce. GOTCHI LABS That creates a progression in which commercial opportunity can expand alongside the capability and context of the agents. A health agent may begin by helping a consumer understand sleep and recovery. A nutrition or fitness agent adds additional high-frequency utility. A commerce layer can eventually connect relevant consumer needs with products and services. The monetization surface therefore becomes broader as the platform becomes more useful. From general-purpose AI to Consumer AI infrastructure The latest a16z data does not suggest that general-purpose AI is becoming less important. The leading foundation-model products remain extraordinarily large. What it does show is that the Consumer AI market still has substantial room to deepen. Nearly half of U.S. consumers use AI, but only 25% use it daily. Just 4.5% maintain a paid personal subscription to one of the three leading general AI assistants. Personal-agent products are beginning to reach meaningful consumer scale. And while 84% of leading AI-native web products rely on subscriptions, only 2% currently monetize through transaction or platform fees. Together, those numbers point toward several emerging opportunities: more frequent use, more specialized experiences, deeper personal context and new business models built around what AI helps consumers actually do. These are the same structural shifts Gotchi Labs is building around. Sleepagotchi provides the first live vertical: specialized AI operating against continuously changing real-world consumer signals. Its 600,000+ registered users, 144,000+ monthly active users, 500,000+ Jambo distribution and 28,500+ Seeker installs provide an existing base from which the platform can expand. The broader Gotchi Labs strategy is to build from that foundation across multiple high-frequency areas of consumer life, with specialized agents that can become more relevant as the platform develops deeper context. Sleepagotchi is the first operating proof point. Gotchi Labs is the multi-vertical Consumer AI platform being built from that foundation. The market data increasingly supports the underlying thesis: the next stage of Consumer AI will be defined not simply by access to intelligence, but by how frequently, personally and meaningfully that intelligence becomes integrated into everyday life.

$CHI Community Sale is officially SOLD OUT! @sleepagotchi Huge thanks to everyone who registered, verified, and committed on Sonar (powered by Echo × Coinbase). Your support is fueling Gotchi’s expansion from Sleepagotchi into a full Consumer AI ecosystem, with $CHI as the shared layer for access, rewards, AI experiences, governance, and commerce. Same Dino. Much bigger world.

25% of Americans now use AI every day, up from 19% a year ago. That's more than ride-sharing (6%) and food delivery (7%) combined [Menlo Ventures, State of Consumer AI 2026]. The bigger change is what people let it do. 41% of AI users have tried an AI agent, 24% use one regularly, and 32% have already let AI act for them without a final sign-off: a purchase, an email, a task in a connected app. Health saw one of the biggest jumps. Using AI for health questions rose from 14% to 25% of consumers in a year. Consumer AI is moving from answers to actions, and it's happening inside everyday routines first. Sleepagotchi's AI Sleep Coach already sits in one of those routines for ~80K people a day. Gotchi takes the same model into more of everyday life. 🦖

Only 17.3% of newly launched apps hit $1,000 in monthly revenue within their first two years, and freemium apps convert at just 2.1% by day 35 [RevenueCat, State of Subscription Apps 2026]. AI makes that equation harder when every interaction has a cost. Commerce changes the math. McKinsey estimates agentic commerce, where AI can move from recommendation to transaction, could account for $3–5T globally by 2030 [McKinsey, Mar 2026]. Most of that conversation is happening in retail. But wellness, fitness, productivity and everyday life are full of decisions that can move from intelligence → action → commerce. That's the layer Gotchi is building toward. 🦖

Something real changed in how AI gets funded this year, and it tells you where the category is heading. Vertical AI agents, built to solve one specific problem really well rather than attempt everything, are pulling the biggest checks right now [PYMNTS, Apr 2026]. Factory, an AI engineering platform used by Nvidia and Adobe, just raised $150M at a $1.5B valuation after doubling revenue every month for six straight months. Slash Financial hit unicorn status on a $100M round after growing from $10M to $250M in revenue in 24 months. Capital is increasingly backing depth over breadth: pick a problem, understand its context and solve it properly. That's the architecture behind Gotchi: specialized agents for different parts of everyday life, connected through one Consumer AI ecosystem. 🦖

My mother has lived in the same apartment building for thirty years. Her next-door neighbor, Mr. Nakai, is 81. His wife died last spring. In 55 years of marriage, Mr. Nakai never cooked a single meal. His wife did everything. After she died, he ate a convenience store bento alone every night, at the little table where she used to sit across from him. He stopped talking to anyone. My mother said you could hear the TV through the wall. Never his voice. Then Margie moved in on the other side of him. Margie is 76. From Kentucky. Her husband, Bill, died eight months ago. Her son works in Tokyo, so she came to be near her grandkids. She speaks zero Japanese. She has the voice of a church choir and the posture of a woman who has never once lost an argument. Plate 1: At exactly 6 p.m., she knocked on Mr. Nakai's door holding a covered dish. When he opened it, she put one hand on her hip and said: "Supper!" He did the polite Japanese thing. He bowed and tried to refuse. She did the Kentucky thing. She put the plate in his hands and went home. Plate 2: The next morning, the plate was outside her door. Washed. Dried. Empty. She knocked at 6 p.m. again. Plate 14: The plate came back with something on it. One persimmon. In Japan, there's a rule older than anyone can remember. You never return a dish empty. You always send something back. Margie didn't know that. She just stood in the hallway holding a plate with one persimmon on it, and cried. Plate 30: Chicken and dumplings went over. A paper crane came back. Plate 52: Meatloaf went over. A small flower from the planter his wife used to keep came back. Pressed flat in a napkin. Plate 71: Banana pudding went over. A piece of paper came back, with one English word written in very careful, wobbly letters: "ARIGATO." He had spelled it in English letters. For her. My mother, whose English is mostly "I am a pen," became their translator. She is terrible at it. Neither of them has ever minded. One Sunday, I asked my mother why Margie kept going. Every single night. For a man who barely said a word. My mother asked her. Margie looked at her kitchen for a long time. Then she said: "I cooked for two people for 52 years. I don't know how to stop." Then my mother asked Mr. Nakai why he never once returned a plate empty. He looked at the photo of his wife by the door. "She taught me. You never send a dish back empty. It's the only rule of hers I know how to keep." Two people. Two empty chairs. Two habits that wouldn't die. Keeping each other alive with plates. Plate 140: In January, there was no knock at 6 p.m. Then there was no knock the next night. Mr. Nakai went to my mother's door and pointed at the wall. My mother called Margie's son. Margie had pneumonia. She was in bed. Too weak to stand, let alone cook. Mr. Nakai went back to his apartment. And for the first time in 55 years, he went into the kitchen. My mother heard it through the wall. Pots banging. A smoke alarm. Another smoke alarm. Something burned. Something else burned. He was making okayu. Rice porridge. The thing a Japanese wife makes when someone is sick. His wife had made it for him every time he caught a cold for half a century. He had never once watched how. He burned two pots. The third one worked. At exactly 6 p.m., he carried a bowl across the hallway, holding it with both hands, very carefully, the way you'd carry something alive. He knocked on Margie's door. Her son opened it. Margie was on the couch, under a blanket. Mr. Nakai walked in, held out the bowl, bowed, and said the only English word he had ever practiced. "Supper." My mother says Margie cried so hard her son had to hold the bowl. He brought her okayu every night for two weeks. Same bowl. Same time. 6 p.m. exactly. When Margie got better, she knocked on his door with a casserole, and said, "Supper!" He bowed. He took it. He didn't even pretend to refuse. They still can't talk to each other. Not really. But every night, after he finishes, Mr. Nakai says one Japanese word to her when he hands back the plate. "Gochisōsama." It's what we say after a meal. It means "thank you for the food." But Margie asked my mother what it really means. And my mother, in her terrible English, did her best. The old characters in that word mean "to run around." Long ago, it meant: thank you for running all over the place, to feed me. Margie stood in the hallway and didn't say anything for a long time. Then she said, "Well. That's exactly what I've been doing." Last Sunday, my mother showed me the hallway between their doors. Margie's side has a small hand-painted sign. "PLATE 312." His side has a small sign too. In Japanese. It says the same thing.