Daniel Mello’s Post

There’s been a lot of discussion lately — especially after Satya Nadella “SaaS is dead” comment — about what SaaS really means in the age of AI. The confusion stems from the fact that SaaS is often misunderstood. Let's define what constitutes SaaS first: - Distribution Model: SaaS is primarily about how software is delivered — users access the software remotely and typically pay by subscription, not by up-front license. In addition, most SaaS apps are multi-tenant. - Static Workflows: Traditional SaaS tools commonly provided static, standardized workflows as a means to scale software and support a broad customer base. However, this is not a fundamental trait of SaaS, but rather a byproduct of most SaaS vendors’ need for efficiency and maintainability. Satya Nadella comment really points to the second part — static SaaS apps that can’t adapt, learn, or evolve on their own. Those are being reimagined. The distribution model of SaaS, however — its foundation of automation, efficiency, and scale — is only becoming stronger. As the recent Amazon Web Services (AWS) whitepaper “Rethinking SaaS in the Agentic Era” explains: “Agentic SaaS doesn’t alter what it means to be a SaaS business — it extends and enhances it.” In other words, SaaS isn’t dead — the static SaaS app is. The future is Agentic SaaS: adaptive, context-aware systems that continuously learn, self-optimize, and delivered across clouds, regions, and environments. If you are excited about this topic, we would love to chat more. Checkout omnistrate.ai as we are defining the new frontier Agentic SaaS

🚨 SaaS BLOAT ALERT: The average company now runs 134 different software applications! 🤯 Startups are drowning in subscription costs while SaaS prices rise 13% annually (outpacing inflation). Here's a brutal truth for founders: That tech stack you've built piece by piece is probably eating 14% of your total business spend right now. Want to trim the fat? Three quick moves to consider: 1️⃣ Consolidate redundant tools (audit everything - bet you'll find overlap) 2️⃣ Centralize procurement (no more random team purchases) 3️⃣ Track usage and watch those sneaky auto-renewals (89% of SaaS contracts have them) Question for the builders here: How many applications does your startup actually use? And how many do you NEED? #StartupStrategy #SaaSTips #TechStack #FounderAdvice https://lnkd.in/g5Yv6Nhp

Multi-Tenant SaaS is scaling fast, and so should you. Here are practical lessons from scaling to millions of users with strong tenant isolation, data partitioning, and resource governance in a fast-changing market. First, isolate each tenant like a personal space. Clear boundaries prevent data leaks and build trust. Use strict access controls and separate data stores where it makes sense, so a single issue can’t cascade across tenants. Next, partition data thoughtfully. Decide between row-level, shard-level, or micro-partitioning based on your access patterns and SLAs. This keeps queries fast and reduces cross-tenant contention as you grow. Govern resources with precision. Dynamic quotas, rate limits, and tiered workloads protect performance during spikes. Automate capacity planning to avoid overprovisioning while still meeting demand. Adopt a pattern for evolving needs. Feature flags, blue-green deployments, and canary releases help you roll out tenant-specific changes safely, so you never break a single customer base. Think about the ecosystem you’re building. Document APIs, provide clear onboarding, and share best practices so customers can self-serve and contribute feedback that improves the whole platform. As I navigate this journey, I’ve learned that growth isn’t just about traffic; it’s about reliable experiences for every tenant, every day. When you help others learn and apply scalable patterns, you build influence that lasts beyond a single product. If you’re exploring how to scale multi-tenant SaaS responsibly, let’s discuss what patterns you’re testing, what obstacles you’re solving, and how you’re teaching others to grow with you. Hashtags: #SaaSScaling #TenantIsolation #DataPartitioning #ResourceGovernance #MultiTenant #TechLeadership Would you like this tailored to a specific industry or audience?

There is now a critical shift in public sector IT strategy. Key takeaways for government tech leaders include: - Real transformation is now about execution and scalable delivery. - Nearly 9 in 10 departments have adopted SaaS, but less than half report full success at scale. - A “buy then build” approach is becoming the norm: first looking for reusable solutions, and if none exist, building bespoke. - Hybrid models (SaaS + in-house build) coupled with multidisciplinary teams are emerging as the winning combination. https://lnkd.in/echDQ3u3 #DigitalTransformation #PublicSector #GovernmentTech #SaaS #BuildOrBuy #TechStrategy

That shiny new SaaS platform won't fix your scaling problems. In fact, it might be making them worse. Many scaling companies invest in powerful technology to solve operational bottlenecks, only to find the chaos remains. The root issue? Automating a flawed process doesn't create efficiency; it creates faster chaos. Technology should be a multiplier for an already-strong operational foundation, not a patch on a weak one. Before your next tech investment, map your critical workflows. Identify every friction point, manual handoff, and data silo. Refine the process first, then select the tool that amplifies your optimized system. True scalability is architected, not purchased. Ready to build a resilient operational backbone for growth? Start here: https://lnkd.in/gPidhD5X #OperationalExcellence #GrowthStrategy #BusinessScaling

I asked a SaaS founder what his product does. He talked for 5 minutes. I still had no idea. This is the problem. He said: "We provide an innovative platform with robust API infrastructure enabling seamless cross-functional collaboration through our proprietary ecosystem." I said: "But... what does it DO?" He looked confused. "I just told you." No. You didn't. You told me a bunch of words that sound smart. But you didn't tell me: → Who it's for → What problem it solves → Why I should care → What I can do with it Can a 10-year-old understand your homepage? If not, your customers can't either. 𝗬𝗼𝘂𝗿 𝗰𝘂𝘀𝘁𝗼𝗺𝗲𝗿𝘀 𝗱𝗼𝗻'𝘁 𝗰𝗮𝗿𝗲 𝗮𝗯𝗼𝘂𝘁: → Your "innovative platform" → Your "robust infrastructure"   → Your "seamless integration" → Your "cutting-edge technology" 𝗧𝗵𝗲𝘆 𝗰𝗮𝗿𝗲 𝗮𝗯𝗼𝘂𝘁: → Saving time → Making money → Reducing stress → Getting results 𝗧𝗵𝗲 𝗳𝗶𝘅: Every feature needs a "so you can..." sentence. "Advanced API infrastructure" = meaningless "Advanced API infrastructure so you can sync your data automatically in 2 clicks" = valuable The irony? He's a brilliant engineer. He built something amazing. But he was a speaking engineer. His customers speak human. Translation = Conversion. Question for you: Read your homepage out loud. Would your grandma understand it? If not, you're losing customers. Want help translating your tech-speak into money-making copy? My Trial-to-Paid Playbook (in Featured section) has a complete "jargon detector" checklist Or DM me I'll rewrite one section of your site (free). Smart words don't convert. Clear words do. Drop a 👋 in the comments if you've ever been guilty of jargon overload (I definitely have).

☁️ When Is Cloud Native the Right Choice? Let’s say you’re inspired by the idea of Cloud Native architecture. It sounds modern, scalable, and future-proof but when does it actually fit your project, and when might it be overkill? Let’s look at where Cloud Native truly shines, and where it may not be worth the complexity. 🌱 Where Cloud Native Excels 1️⃣ Startups growing at lightning speed. You’ve just launched, and suddenly tens of thousands of users flood in. A traditional architecture might crumble, but Cloud Native, with its automatic scaling, adapts instantly. 2️⃣ Platforms with variable load. If your business relies on seasonal peaks (like e-commerce on Black Friday or streaming during big events) Cloud Native helps you scale up during peak hours and scale down afterward, keeping costs under control. 3️⃣ Products with frequent updates. If your team ships new features weekly (or daily), Cloud Native enables seamless CI/CD deployment — no downtime, no delays, always the latest version for users. 4️⃣ Global services. Serving users across continents? Cloud Native makes it easy to deploy apps across multiple cloud regions closer to your users, ensuring speed and reliability everywhere. ⚙️ When Cloud Native Might Be Too Much 1️⃣ Small projects. A company website or internal portal doesn’t need microservices and Kubernetes if one stable server does the job. 2️⃣ Internal corporate systems. If usage is steady and predictable, traditional infrastructure may be simpler and more cost-effective. 3️⃣ Tight budgets and small teams. Without resources for DevOps or Cloud Native expertise, complexity can outweigh benefits. Sometimes, staying classic is the smarter move. 💡 The takeaway: Cloud Native isn’t a trend — it’s a strategic choice. Use it where scalability, flexibility, and speed bring measurable business value. #CloudNative #CloudComputing #DevOps #DigitalTransformation #Kubernetes #Infrastructure #CTO #Peerobyte

Most SaaS companies won’t be disrupted by competitors but by their own customers. By building the same solution in a weekend. The rise of Vibe Coding is fundamentally reshaping how organizations build software. Business teams can now create prototypes in hours and robust internal tools in days, without relying entirely on engineering resources. The historic “Make vs. Buy” equation is no longer as clear-cut as it once was. For years, most companies defaulted to buying software because they lacked: 1️⃣ technical expertise, 2️⃣ development capacity or 3️⃣ time for custom solutions. That rationale is rapidly eroding. When a small team can tailor a solution exactly to its needs with minimal cost and turnaround, the value of generic subscription software comes into question. This raises a critical point: If a SaaS product can be replicated internally with a Vibe Coding tool in a matter of days, its long-term viability is at risk. However, this disruption has limits. Vibe Coding tools excel at internal workflows, dashboards, and operational tooling — applications that benefit from deep contextual fit but do not require global scale or advanced security. Enterprise-grade SaaS remains indispensable where: 1️⃣ specialized compliance and data protection are mandatory, 2️⃣ integrations are complex and mission-critical, 3️⃣ continuous R&D and scalability are core to the product’s purpose. In other words: Vibe Coding threatens commodity SaaS, not differentiated software. What changes is the accountability. SaaS companies can no longer rely on feature lists and convenience alone. They must deliver: 1️⃣ proprietary technology, 2️⃣ measurable business outcomes, 3️⃣ and depth that cannot be assembled from modular components. My view: Vibe Coding is not the end of SaaS. It is the end of SaaS that doesn’t justify its subscription. The future belongs to products that offer true expertise, not replicable functionality. How is your organization preparing for this shift?

Your organization has 100-300 SaaS applications. Maybe it's time to BUILD instead of BUY. Recent industry research highlights a massive shift: Enterprises facing "SaaS sprawl" (100–300+ applications) are turning to low-code/no-code platforms to *build custom apps* rather than continuously buying new ones. Why this matters: The Problem: License overload, integration nightmares, and siloed data across hundreds of tools The Solution: Low-code platforms that let you build exactly what you need, integrated from day one For IT leaders and consultants, this represents a fundamental shift: ✅ From license-churn to capability-creation ✅ From vendor dependency to internal empowerment ✅ From "buy and integrate" to "build and own" ✅ From scattered tools to unified systems **The ROI is compelling:** - Reduce SaaS licensing costs by 40-60% - Eliminate integration complexity - Build apps tailored to your specific workflows - Maintain full control over your data and processes **Here's my challenge to you:** List your organization's top 10 SaaS applications. Could you build 3-5 of them in-house with a low-code platform instead of renewing next year? At AlgorithmShift, we're empowering enterprise organizations to make exactly this pivot — from SaaS consumers to app creators. 💡 Ready to explore the build-vs-buy equation for your organization? 👉 https://lnkd.in/gp36ekgr **What's your take?** Have you hit the SaaS sprawl wall? Share your experience in the comments. 👇 #LowCode #NoCode #SaaSManagement #DigitalTransformation #EnterpriseIT #CostOptimization #TechStrategy #CIO #ITLeadership #ApplicationDevelopment #EnterpriseArchitecture #TechDebt #Consolidation #BusinessEfficiency #Innovation

Your “tech stack” isn’t a shopping list. It’s your software supply chain. If you don’t know it, you can’t ship reliably. Plain English: a tech stack is the set of tools and services that power your product end to end — front end, back end, data, infrastructure, and the glue that deploys and monitors it. Think React or Swift on the front, APIs and databases in the middle, cloud and CI/CD underneath. Together, they’re the platform your business runs on. Analogy: like a physical supply chain. - Storefront = front end - Factory = back end - Inventory = data - Logistics = cloud/devops - Quality control = monitoring Why founders should care: - Speed and focus. The right stack lets small teams ship faster by leaning on managed, standard tools instead of reinventing the wheel. - Cost and risk. Your stack choices set operating costs, hiring pipelines, vendor lock‑in, and uptime expectations — before the first customer lands. Common pitfalls: - Chasing hype. Pick boring, proven components where you can; reserve novelty for what differentiates your product. - “We’ll swap it later.” Switching databases, frameworks, or clouds mid‑flight is a rewrite with hidden people costs. Decide intentionally now and document it. Founder move for this week: Write a one‑page “Stack Contract.” List each layer, owner, SLA, and the default managed service. If you can’t explain it in 30 seconds, it’s too complicated. Your stack is leverage. Treat it like ops, not art. What’s your current stack? Share it below! #HMDigital #FounderEngineer #SaaS #Entrepreneurship #Innovation