
Shaz 📖
7.5K posts

Shaz 📖
@ShazSMM
🌊 Founder | Wave Riders Digital (5-Figure Agency) 💎 Gem Hunter | 🛠 Co-Founder, Insider Alpha ⚠️ NFA (Not Financial Advice)


$PIE Explained 🥧 The gem I aped into is none other than $PIE and I want more then just a slice lads 👇 aqQRs3UJmHs7ktoLo46HZAzvG9P3oCoZ41nENqFbory --- Most “AI” coins in this market are honestly the same playbook. A ChatGPT clone, some buzzwords, a vague roadmap then it either rugs or slowly fades into irrelevance. $PIE is not that. This one has real builders, real infrastructure, and real distribution potential. And more importantly it’s tackling one of the biggest unsolved problems in AI today. AI works well for short prompts but it breaks the moment work becomes long, messy, multi-step, or collaborative. That’s the gap. That’s the problem. And that’s exactly the space Alpie is positioning itself to dominate. --- This isn’t an anonymous team hiding behind cartoons. The founders are fully public: Rajat Arya (@Rajatarya01) Chirag Arya (@BizChirag) And their backgrounds aren’t “crypto native” hype resumes… They’ve worked at serious tech companies, including Netflix and Snapchat. On top of that, they’ve been building 169Pi since 2023 meaning this is not a rushed launch or a trend-chase. This is the key difference: Not “token first, product later.” This is product first… token catches up later. In AI, execution is everything. You don’t win because you launched, you win because you ship, iterate, and scale. --- They were also featured in Forbes India 30 Under 30 (2025) and notably in the first-ever AI category. That matters because it’s external validation, not internal marketing. It’s the kind of credibility that moves you from “interesting” to institution-worthy. --- Now here’s the part most people overlook: Alpie (Workspace): What everyday users interact with deep work, long thinking, actual productivity. Alpie Core (Reasoning Engine) = What powers it all and can also be used through an API by builders. So they’re not just building a front-end experience. They’re building the core intelligence layer, then letting users benefit through Alpie and alllow devs to integrate through the Alpie Core API That’s how real AI platforms get built. --- Alpie Core is served at 4-bit precision at 32B parameters. In simple terms. It’s designed to be powerful, but also fast and efficient to run. That means... Cheaper Scalable Faster Most projects chase “bigger model” marketing. But this is different. This is efficiency-first infrastructure thinking and that’s where AI is heading, because compute is expensive and scaling is hard. --- Now a lot of projects fail because they only have one route to growth. Alpie has two... 1) Consumer adoption People use Alpie as a productivity workspace. 2) Developer adoption Builders plug into the Alpie Core API and integrate reasoning into their products. That combination is rare. Because once devs build on your engine, you stop being “a tool.” and you start becoming infrastructure. And infrastructure projects are the ones that survive cycles. --- They’re also connected with ISRO (India’s Space Agency). You don’t get in those rooms being average. There’s also discussion around Davos / World Economic Forum exposure, and WEF’s annual meeting runs 19–23 Jan 2026. If 169Pi continues scaling into India’s AI ecosystem and becomes a flagship name that type of global positioning can accelerate partnerships and visibility massively. --- Right now $PIE is around 400K, and the market is still treating it like a “small AI play.” But when you step back, the foundation is very clear: ✅ Doxxed, proven builders ✅ Built since 2023 (not a trend chase) ✅ Forbes India recognition ✅ Real product + reasoning engine ✅ API + workspace distribution ✅ Efficiency-first model design ✅ Institutional credibility (ISRO) ✅ Global room potential (WEF/Davos) To me, fading this sub 1M is genuinely crazy.

Major Companies are standardizing on Google models. AURK is aligning at the infrastructure layer. As Apple moves Siri toward Gemini, we are enabling Google models inside AURK 2.0 Same models. Different use case. Continuous execution, agent swarms, onchain workflows. Google AI Studio was the first step. Model-level access inside AURK is what comes next.


My new process on buying a token: Existing: 1. We run due dilligence 2. Out stops and tp in place New: 3. We ask Grok, ChatGPT and Gemini to run due dilligence Results are fun. We just ran one on @169Pi_ai $ALPIE, where we took a position. Results are super interesting. Post the AI due dilligence we took a position in this company, run by 2 well known AI founders, both 30 under 30 Forbes (in India). Should I post the results?



AURK AI has integrated AIOZ Storage to power autonomous AI agents with scalable, S3-compatible object storage! @aurk_ai brings Ethereum-native AI agents that run continuously, execute real workflows, and are fully ownable, all built with no-code drag-and-drop. Now AIOZ Storage handles its data layer: images, videos, coding, and more, in a fast, reliable, and cost-efficient fashion. The future of autonomous AI agents just leveled up with AIOZ DePIN! Get started with AIOZ Storage: w3s.aioz.network













