Resource Optimization

Last month, we saved 5 lakhs in just 10 minutes by doing one thing. Let me tell you about this small adjustment that made a huge impact at Go Zero. Here's how our packaging works: → Ice cream goes into plastic cups → 12 cups go into cartons → Cartons go into crates for storage and transport And the cartons we were buying were the standard size in the market. So, each crate held 5 cartons = 60 cups total. One day, someone walked out of our cold room carrying these crates. And I noticed something - there was empty space in each crate. It got me thinking how we can fit one more carton in here. Tried it. Didn't fit. It was just 10mm short. Instead of accepting it, I did the math. We already had 5 cartons in the crate. If I reduced each carton's height by just 2mm, I'd free up exactly the 10mm needed for the 6th carton. The impact was immediate: 5 cartons per crate became 6 cartons per crate. Scale that up - every 100 crates now carry 600 cartons instead of 500. Same truck. Same storage space. 20% more product. All because of 2mm. Sometimes the biggest breakthroughs come from the smallest observations. You just have to be willing to question what everyone else accepts as "standard."

Our TAM is 20K. So why do we have 100K accounts in Salesforce? This is a common situation in B2B. But don’t blame RevOps. The traditional data providers trained everyone to “filter and flood.” Set some filters → Query their database → Pull some lists → Flood accounts into CRM → Manual review sessions → Repeat. Account selection is the starting point for ABM. But “filter and flood” is broken. Boolean filters don’t describe nuanced ICPs. One-time data dumps don’t enable continuous iteration. And don’t get me started on the data quality issues — rigid filters force you to treat estimations like hard facts. Here's another option. 1.) Define an ICP model — Analyze nuanced patterns in your best customers. — Weight different factors in a back tested model. — Go beyond size and industry, include clues about situations, problems, and priorities. — Use Keyplay AI or build DIY. Either way a dynamic model beats rigid filters. 2.) Use gradients (instead of drawing hard lines). — Transition from filters to scoring. — Decide on thresholds based on the specific segment, play, or campaign. — Have a dynamic score so that you can continually surface opportunities. 3.) Create a continuous selection process. — Make it a program, not a one-time project. — Set a cadence to find new accounts and try new ideas. Gamify it a bit. — Work in tandem with sales territory planning cycles to keep everyone coordinated. Account selection is not the most glamorous part of building ABM. But we all know it matters. Even our most brilliant account-based engagement program is doomed if we target the wrong accounts. So it’s worthwhile to get it right. #marketing #sales #ABM #ICP

Turning discarded pineapple waste into cleaning products 🌎 Turning agricultural waste into valuable products offers a practical way to address environmental and health challenges. Fuwa Biotech, a Vietnamese company, produces natural cleaning products from fermented pineapple skins, showing how local innovation can turn waste into scalable solutions. This approach reduces reliance on synthetic cleaners, which often contain harmful chemicals with long-term impacts on health and ecosystems. Fuwa Biotech’s process exemplifies the circular economy. By using fruit waste from local producers to create cleaning products and repurposing leftover materials as fertilizer, the company minimizes waste and generates value. This closed-loop system benefits both the environment and local communities. The company's enzyme-based cleaners offer a safer alternative to synthetic products that contribute to water pollution and air quality issues. Traditional cleaning products often contain chemicals that treatment facilities can't fully manage, leading to ecological harm. Fuwa’s natural approach addresses these problems with simple, effective solutions. The model is highly scalable. It relies on common agricultural by-products and basic fermentation, making it adaptable in regions with similar resources. As demand for sustainable, non-toxic products grows, this innovation could be replicated globally, supporting both environmental and economic goals. Fuwa Biotech’s work highlights how businesses can reduce resource consumption and pollution through circular practices. It shows that impactful solutions don’t require complex technology, just a commitment to rethink waste as a resource and scale practical innovations. #sustainability #sustainable #business #esg #climatechange #circulareconomy #circular

Capacity Optimization (Optimization Part-5) Efficient PRB (Physical Resource Block) usage is crucial for improving DL user throughput. High PRB utilization can lead to network congestion and degraded performance, especially in areas with high traffic demand. Here's a breakdown: High Utilization Challenges (example): Carrier 1 - 800 MHz: •13% of samples show PRB utilization > 70%, resulting in DL user throughput < 4 Mbps. Carrier 2 - 1800 MHz: •7% of samples show PRB utilization > 90%, with DL user throughput < 4 Mbps. Ways to Cater to High Utilization: 1. Channel Optimization: Optimize channel allocation and resource scheduling to improve PRB efficiency. 2. Add New Sectors in Sites / Load Balance: New sectors can help distribute traffic evenly across the network, reducing congestion and improving throughput. 3. Enhance Antenna Technology: Leverage advanced antenna tech (e.g., MIMO) for better signal distribution and capacity handling. 4. Add New Sites / Carrier / Spectrum Refarming: Deploy additional sites to expand coverage and capacity. Implement spectrum refarming to repurpose underutilized frequency bands for more efficient resource use. Key Takeaways: • High PRB utilization is directly linked to poor DL throughput, especially in congested areas. • Capacity optimization strategies, including channel optimization, sector addition, and spectrum management, are key to enhancing network performance and user experience. By applying these strategies, operators can reduce congestion, improve DL throughput, and better cater to high utilization areas, ensuring optimal network performance. To learn more, refer to the course on RAN Engineering - https://lnkd.in/e9TpSHzF

Embracing the Circular Economy: Transforming Waste Water into Valuable Resources In the journey towards sustainability, waste water treatment is a cornerstone of the Circular Economy. By converting wastewater into valuable resources, we're not only protecting our environment but also unlocking economic and social benefits. Proper wastewater treatment enables the recovery of nutrients like phosphorus and nitrogen. These resources can then be reused in agriculture, reducing the need for synthetic fertilizers and promoting a closed-loop system. Eecycling treated wastewater for industrial processes or irrigation conserves precious freshwater resources. This sustainable practice helps mitigate water scarcity challenges and contributes to the overall well-being of ecosystems. Industrial symbiosis, a key concept in the Circular Economy, can also thrive through wastewater treatment. By collaborating among industries, the byproducts of one can become the valuable inputs of another, minimizing waste and maximizing efficiency. #CircularEconomy #Sustainability #WastewaterTreatment #ResourceRecovery #water #industry #energy #climatechange #strategy #technology #innovation #economy #creativity

In my last post, I spoke about how many startup founders approach marketing like casting a wide net into the ocean, hoping to catch a fish. The reality? Most of the fish swim away, leaving you with wasted resources and little to show for it. So, what’s the solution? It’s time to trade the wide net for a laser-focused approach, Account-Based Marketing (ABM) where you reel in the right accounts with precision and purpose. Here’s how ABM can transform your marketing: 1️⃣ Start with Deciding The Accounts You Want To Go After Followed by Account Research: Build a refined list of potential accounts. Use tools that provide intent data to identify companies actively searching for solutions like yours. 2️⃣ Do Industry Research Every industry is a different puzzle with its pieces. Dive into the industries you’re targeting to understand their specific needs. 3️⃣ Segment and Prioritize Decide the right ABM strategy: 1:Many for broader outreach. 1:Few for targeted industry clusters. 1:1 strategic for high-value accounts. 4️⃣ Create Tailored Messaging and Content Personalization is your secret weapon. Focus on crafting customized content about the pain points and solutions you are offering. This will help you build a relationship with an account.  5️⃣ Adopt an Omnichannel Approach Use multiple touchpoints, email, LinkedIn, display ads, and more. Monitor what works best and optimize your campaigns accordingly. 6️⃣ Focus on In-Market Accounts Don’t waste your bait on fish that aren’t hungry. Concentrate your efforts on accounts actively showing buying intent, this ensures your resources are spent wisely. Always remember the rule, "Only 5% of buyers are in-market and ready to buy". 💡 Here’s the takeaway: ABM is like planting a garden. It takes time, care, and the right tools, but when done right, it yields a harvest of meaningful connections and sustainable results. Want to explore how ABM can elevate your startup’s marketing? Let’s connect! #ABM #accountbasedmarketing #b2b #startups #LinkedInCreators #B2BMarketing #Linkedin

Waste isn’t the problem, it’s the system that treats it like one. In a circular economy, waste is already a resource. The challenge is how to design processes that turn it into value efficiently, locally, and at scale. PINATEX AIELO SL is a great example: a textile made from discarded pineapple leaves, transforming agricultural by-products into a plant-based alternative to leather. No extra land, no additional water, no harm, just smarter use of what’s already there. And it’s not the only one. A growing wave of bio-materials is proving that innovation doesn’t always mean new, sometimes it means used better. Because circularity isn’t a trend, it’s a mindset, one where design begins with waste and regeneration begins with design. 🌿 How else can we rethink waste as a catalyst for innovation in fashion and materials? #CircularEconomy #CircularDesign #BioMaterials #Pinatex #FromWasteToWorth #SustainableInnovation #DesignForChange #RegenerativeDesign #FutureOfMaterials #WasteAsResource

We just made Next.js 93% faster in Kubernetes. Median latency dropped from 182ms to 11.6ms, and success rates jumped from 91.9% to 99.8%. The solution was surprisingly simple: stop fighting the Linux kernel and start working with it. If you run Node.js at scale, you know the pain. Traffic spikes cause some pods to max out at 100% CPU while others idle at 30%. You overprovision to compensate, your cloud bill explodes, but the problem persists. Traditional approaches are broken. PM2 adds 30% IPC overhead for worker coordination. Single-CPU pods create isolated queues where one pod drowns while another sits idle. We solved this with Watt, the Node.js application server, leveraging SO_REUSEPORT, a kernel feature introduced in 2013 that almost nobody uses properly. Instead of master-worker coordination, the kernel distributes connections directly. Zero overhead, pure efficiency. The AWS EKS benchmarks under 1000 req/s load tell the story. With identical 6 CPU resources, single-CPU pods hit 155ms median latency, PM2 reached 182ms, while Watt delivered 11.6ms. At P95, Watt stays at 235ms versus PM2's 1260ms. That's not marginal improvement, that's transformative. In e-commerce, the difference between 182ms and 11.6ms is the difference between a sale and an abandoned cart. Every 100ms of latency measurably impacts conversion rates. Implementation is trivial. From PM2, remove ecosystem files and set worker count. From single-CPU pods, reduce pod count and increase CPU per pod. No code changes, just better architecture. This works for any CPU-bound Node.js workload. GraphQL servers, API gateways, SSR frameworks. If you're running Node in Kubernetes, you're leaving performance on the table. Watt is open source, production-ready, and already delivering these results at scale. 93.6% faster latency, 99.8% reliability, 9.6% more throughput with the same resources. Full technical deep dive at our blog, code at https://lnkd.in/dsmneTBt

🔍 Optimizing Resource Efficiency: Understanding Concentration Factor & Mass Recovery in Mining In mining and metallurgy, understanding the relationship between Concentration Factor (KF) and Mass Recovery (MR) is critical for maximizing resource extraction efficiency and ensuring the economic viability of a project. These metrics are integral to ore body evaluation, process optimization, and resource valuation—factors that drive informed decision-making and operational sustainability in the industry 📊 Concentration Factor (KF): A Fundamental Metric in Ore Processing The Concentration Factor (KF) is a key parameter in assessing the efficiency of mineral processing and the economic feasibility of a mining operation. It quantifies how much ore is required to produce one ton of concentrate, taking into account ore grade and recovery rate. Formula: KF = Concentrate Grade * Recovery Rate / Ore Grade For example, a mine with 8% Pb ore that produces a 65% Pb concentrate with a 95% recovery rate yields a concentration factor of 8.55. This means 8.55 tons of ore are required to produce 1 ton of concentrate, which is essential in understanding resource utilization and the economic efficiency of the operation 🔄 Mass Recovery (MR): Evaluating Process Efficiency Mass Recovery (MR) is the reciprocal of the Concentration Factor (KF) and provides insight into the proportion of the ore mass that is successfully converted into concentrate. It is an essential metric for assessing the efficiency of mineral extraction and plays a pivotal role in cost management, particularly in bulk commodity mining. Formula: MR = 1/KF For instance, in an iron ore operation with a 55% Fe ore grade, producing a 66% Fe concentrate with a 90% recovery rate, the mass recovery is 75%. This indicates that 75% of the ore mass is recovered as concentrate, directly influencing transportation costs and processing efficiency in large-scale mining operations ⚙️ Strategic Implications for Mining Operations Optimizing both Concentration Factor and Mass Recovery has significant implications for mining economics and operational performance. The key benefits include: Minimizing extraction and transport costs through higher mass recovery Enhancing process efficiency and maximizing concentrate yield Improving economic evaluation of bulk commodities such as iron ore, copper, and lead Understanding these parameters enables mining companies to make better-informed decisions, leading to more sustainable and cost-effective operations 💡 Key Takeaway Incorporating Concentration Factor and Mass Recovery into mineral processing strategies is critical for improving resource efficiency, driving economic optimization, and achieving sustainable mining practices. These metrics are at the core of resource management and play a vital role in the long-term profitability of mining projects. #Mining #Geology #ResourceOptimization #MiningEconomics #OreProcessing #MassRecovery #GeologicalExploration

Many CMOs told me their ABM isn't working & they're trying to revamp. At UserGems 💎, ABM is in top 3 programs (40% pipeline) because of 6 things: 1) 𝗢𝗻𝗲 𝗽𝗹𝗮𝗰𝗲 𝗳𝗼𝗿 𝗮𝗹𝗹 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 Centralize your 1st, 2nd, 3rd-party signals (including your Marketing engagement signals) at both account and contact levels. Some examples: past champions, new hires, buying group members, past closed lost, funding, M&A news, hiring, website visits, event attendees, form fills, etc. 2) 𝗖𝗼𝗻𝘁𝗮𝗰𝘁-𝗹𝗲𝘃𝗲𝗹 𝗶𝗻𝘁𝗲𝗻𝘁 & 𝘄𝗲𝗯𝘀𝗶𝘁𝗲 𝘃𝗶𝘀𝗶𝘁𝘀 “Someone at NVIDIA is showing intent” isn’t actionable. “Jensen Huang, CEO at NVIDIA, is researching “AI Agents for GTM” topic & was on your competitive comparison page last week” is actionable. Filter for ICP and Persona to minimize noise. 3) 𝗔𝗰𝗰𝗼𝘂𝗻𝘁 & 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 𝗦𝗰𝗼𝗿𝗶𝗻𝗴 𝗶𝘀𝗻'𝘁 𝗮 𝗯𝗹𝗮𝗰𝗸 𝗯𝗼𝘅 Because you’ve centralized all signals into one place, you can also have one place for Account Scoring & Contact Scoring. The key is to make it dynamic and editable by humans. Let GTM leaders override when something looks off. We want to keep humans in the loop to make strategic decisions. And, score Contacts within those accounts. It will make your reps’ lives 10x easier. They know exactly where to start; don't have to pick and choose among 50 different VPs at an Enterprise account. And… allows you to automate #4 👇 4) 𝗔𝘂𝘁𝗼-𝗲𝗻𝗿𝗼𝗹𝗹 𝗵𝗼𝘁𝘁𝗲𝘀𝘁 𝗯𝘂𝘆𝗲𝗿𝘀 & 𝗯𝘂𝘆𝗶𝗻𝗴 𝗴𝗿𝗼𝘂𝗽𝘀 𝗶𝗻𝘁𝗼 𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀 We auto-enroll the 3-7 highest-ranked contacts per account to the right sequences. Our reps wake up with all their tasks already queued up for them in Outreach. We could do it only because: 1) We already capture Buying Groups (point #1) + 2) Score them based on signals (point #3) + 3) Reps have an AI Copilot explaining why they're seeing this account & buyer -> trust in the data Reps don't waste time choosing or manually copying & pasting contact info from different tools --> Fewer decisions for reps to make = More consistency in execution 5) 𝗨𝘀𝗲 𝗔𝗜 𝗳𝗼𝗿 𝘀𝗺𝗮𝗿𝘁𝗲𝗿 𝗼𝘂𝘁𝗿𝗲𝗮𝗰𝗵 𝗺𝗲𝘀𝘀𝗮𝗴𝗲𝘀 & 𝗳𝗲𝘄𝗲𝗿 𝘀𝗲𝗾𝘂𝗲𝗻𝗰𝗲𝘀 Our response rates have always been between 6-20% over the last 12 months. And most of our reps' emails are assisted by AI. Contrary to bad AI examples typically seen on LinkedIn, AI can be very good at combining all signals, call transcripts, email exchanges, and researching CRM notes to write hyper-personalized outreach messages. Better than most humans can. Most reps and marketers don't spend time digging through all the data for every. single. email. But AI does. 6) 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗲 𝗰𝗵𝗮𝗻𝗻𝗲𝗹𝘀 𝗮𝗿𝗼𝘂𝗻𝗱 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗯𝘂𝘆𝗲𝗿 Sync contact-level audiences across outbound + advertising channels. Surround-sound your hottest buyers at the same time with the same messages. 30%+ higher conversion rates for your ABM. Guaranteed.