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التخفيضات⎐كُـود⎐كوبِون⎐خـِصم⎐في ممزورلد وايضا بلومنغديلز بلومينغديلز ولدينا عرض في نمشي و نون ⎐ممـ ـزورلد⎐⊵jor⊵ ⎐نـ ـون⎐⊵CBB54⊴ ⎐بلـ ـومنغديلز⎐⊵d15⊴ ⎐نمشي⎐⊵BLK13⊴ ⎐ايهرب⎐ايهيرب اهرب⊵KIH8768⊴ ⎐باث▬اند▬بودي⎐Af8p⊴ ___ DfmS
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Dfms ki 100k vachina pratisari varanasi ni promote chestunnaru comments lo 🤣🤣
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Replying to @chotugadu23
Kaadu Vamsi - ye movie okati undi ani pilla dfms ki kuda thelidu
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#Athidi4K best re release experience 🔥🔥🔥🔥🔥🔥🔥🔥 Vintage Sai Ranga is fucking backkk 💥💥💥💥💥💥💥💥💥 Time to time best re rls chesedi DFMS ee ani prove chesthunnaru 🔥 Cinema 1st time chusa baane undi.. 20 mins cut chesaru. Anduke emo..
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IDO Research Ventures has backed three companies today building across enterprise AI, interactive entertainment, and financial intelligence infrastructure, all rebuilding massive industries still operating on outdated systems. 🧠 Balon Building next-generation enterprise AI infrastructure through Deep Fusion Models (DFMs), a new neural architecture designed to reduce hallucinations, improve contextual reasoning, and create more reliable AI systems for enterprise use cases. Already achieved a $4M cost-to-reproduce infrastructure layer, 70% lossless semantic compression rates, successful healthcare and legal trials, and acceptance into Nvidia Inception, AWS Activate, Microsoft Startup Program, and Atlassian Startup Program. 🎮 Kaosity Building audience-directed entertainment infrastructure that transforms passive viewers into active participants through gamified streaming, interactive storytelling, and integrated advertising experiences. Already generated interest from major global brands including Nike, Pepsi, Uber, Visa, AMC, LG, Hallmark, and Best Buy while positioning itself inside a combined $318B OTT video and interactive streaming market. 💸 Tulivirta Building enterprise-grade financial intelligence infrastructure for mid-market businesses, bringing predictive AP automation, AR workflows, and cash forecasting tools previously only available to Fortune 500 companies. Already built an AP automation platform that is 90% complete, developed systems capable of generating $800K–1.8M in annual value per customer, and previously deployed enterprise analytics systems across organizations including JPMorgan, Citi, State Farm, P&G, Wells Fargo, Volkswagen, and the U.S. Army. We’re proud to back Balon, Kaosity, and Tulivirta as they continue scaling toward their next milestones. 💪 #Ventures #Startups #VentureCapital #AI #Fintech #EnterpriseAI #EntertainmentTech #MachineLearning #DataInfrastructure #FounderLed
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LvlUp Ventures has backed three companies today building across enterprise AI, interactive entertainment, and financial intelligence infrastructure, all rebuilding massive industries still operating on outdated systems. 🧠 Balon Building next-generation enterprise AI infrastructure through Deep Fusion Models (DFMs), a new neural architecture designed to reduce hallucinations, improve contextual reasoning, and create more reliable AI systems for enterprise use cases. Already achieved a $4M cost-to-reproduce infrastructure layer, 70% lossless semantic compression rates, successful healthcare and legal trials, and acceptance into Nvidia Inception, AWS Activate, Microsoft Startup Program, and Atlassian Startup Program. 🎮 Kaosity Building audience-directed entertainment infrastructure that transforms passive viewers into active participants through gamified streaming, interactive storytelling, and integrated advertising experiences. Already generated interest from major global brands including Nike, Pepsi, Uber, Visa, AMC, LG, Hallmark, and Best Buy while positioning itself inside a combined $318B OTT video and interactive streaming market. 💸 Tulivirta Building enterprise-grade financial intelligence infrastructure for mid-market businesses, bringing predictive AP automation, AR workflows, and cash forecasting tools previously only available to Fortune 500 companies. Already built an AP automation platform that is 90% complete, developed systems capable of generating $800K–1.8M in annual value per customer, and previously deployed enterprise analytics systems across organizations including JPMorgan, Citi, State Farm, P&G, Wells Fargo, Volkswagen, and the U.S. Army. We’re proud to back Balon, Kaosity, and Tulivirta as they continue scaling toward their next milestones. 💪 #LvlUpVentures #Startups #VentureCapital #AI #Fintech #EnterpriseAI #EntertainmentTech #MachineLearning #DataInfrastructure #FounderLed
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DFMs 🧿
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$P 📈 Another AI Infra Storage Play ready for breakout towards the gap! Renamed recently everpure designs all-flash storage arrays and subscription-based as-a-service platforms optimized for unified block, file, and object workloads in enterprise data centers. The company sits at the convergence of primary storage, backup, and AI data pipelines, delivering direct-flash modules (DFMs) and Purity software that enable 100% flash performance without controller bottlenecks. @ripster47 @RGV_TRADES @TENETTRADEGROUP @tenet_research
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I just started a new position today. Haven’t seen anyone giving this one much attention besides a random tweet that put it on my radar the other day. Company is $P (Everpure). I see this business being a HUGE beneficiary of the AI infrastructure buildout, and specifically memory optimization. Everpure recently rebranded from Pure Storage which was founded in 2009 by John “Coz” Colgrove. The game they play is memory efficiency, making standard memory drives used in data centers store up to 5x more data while using 50-80% less power. 🤯 A few things about the company: • Unlike rivals who buy off-the-shelf SSDs, Everpure builds proprietary DirectFlash Modules (DFMs). By removing the "middleman" controller found in standard drives, their software speaks directly to raw memory, drastically reducing latency and increasing lifespan. • Their Purity OS leads the industry in deduplication and compression. They can make 1TB of physical flash act like 5TB of usable space, allowing customers to expand capacity without buying new chips. • Everpure provides higher throughput in a smaller physical footprint. This prevents "GPU Starvation," ensuring that expensive $NVDA chips are always fed data at maximum speed. • Their "Evergreen" model is a unique subscription-based approach that allows customers to upgrade hardware components (controllers/flash) while the system is running. This ensures zero downtime for customers. • They offer Software Defined Storage which allows them to license their "intelligence" (Purity OS) to run on any hyperscaler's custom-built hardware. This high-margin licensing model scales faster than physical hardware sales. $META has already signed on as a huge customer for this. 👀 • They don't own massive factories or data centers (CapEx light). Instead, they focus more on R&D that improves their products. • Their systems use 50% to 80% less power than legacy storage. In an era where power grids are at capacity, this efficiency allows any GPU-as-a-Service provider to add more chips without needing to find more energy for storage. • The company maintains a pristine balance sheet with zero debt and over $1.5 billion in cash. • Their storage solutions are extremely reliable (99.999%) and they carry a Net Promoter Score (NPS) consistently above 80. Their customer loyalty is nearly five times higher than the industry average, creating a high-trust environment for mission-critical AI training. In a world where memory AND energy are the bottleneck, memory storage optimization will become critical. I’m honestly surprised this stock hasn’t pumped even more with recent gains we’ve seen in companies like $MU and $SNDK. The only real bear case I could find for this stock is that a chunk of their business requires them to buy memory drives themselves which are currently experiencing price spikes. This would normally eat into Everpure’s margins, but they’ve been increasing their own prices to compensate. Fortunately, this hasn’t seemed to affect customer demand. Very bullish on this name now that I’ve come across it. I sold 100 shares of $RKLB and rotated most of the money into this new position. Still only 1.5% of my portfolio for now. Please do your own research on this name and don’t consider this post financial advice!
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Listen: In this episode of Money, Markets and Masterminds, @alexforbes DFM specialist and portfolio manager Nadir Thokan shares why #DFMs are being pushed to prove their value, with @DURITZ79. #podcast #investments #investing #finance citywire.com/za/news/podcast…
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.DFMs Lotaina Baavi 🐸
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It’s just another new one to keep the dumb fucken morons engaged. MAGAts are the laziest DFMs.
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A two-day District Review-cum-Planning Meeting was successfully conducted at SMMU, JSLPS, Ranchi on 20th & 21st April, 2026. The meeting brought together senior leadership including COO-JSLPS, Domain Heads, SPMs, PMs, DPMs, and DFMs to review the achievements of FY 2025–26 and strategize for FY 2026–27. Key discussions focused on performance against key indicators, thematic guidelines across domains, and district-level AAP presentations. The sessions enabled collaborative planning, experience sharing, and strengthening of implementation strategies, followed by an open house discussion to align priorities for the upcoming financial year. @MoRD_GoI @DAY_NRLM @HemantSorenJMM @DipikaPS
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