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Replying to @BishForCongress
The MIT “Grad” who developed $oftware (?)
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It is most welcome, after having experienced and after still undergoing the after effects of misadventures of Byre K Gowda who introduced e aasthi and digital registration without proper tial of oftware and without rsolving obvious glitches. thehindu.com/news/national/k…
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jajajaja me los pillé atención, la registraduría está corrigiendo sus trampas pero en su desespero no se dan cuenta que van a quedar en evidencia porque están convencidos con su "$oftware tramposo, son tan arrogantes que creen que el pueblo no sabe sumar...
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Nuestro país cambia cuando cambiemos el $oftware de la Registraduría!! En una mesa con 142 votantes le contabilizaron 170 al defensor de narcos, así en miles de mesas, quien no gana??
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@hensoldt and @IBM Germany have signed a #MoU to collaborate in the field of oftware-based defence architectures. The aim of the partnership is to develop selected software functionalities for the MDOcore software suite developed by HENSOLDT. More: hensoldt.net/news/hensoldt-a… #MDO
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Replying to @andre_arag
that slop extends to TUIs. They're not magically "better". turns out oftware still requires intent
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Replying to @r0ck3t23
@mcuban Yeah Cuban you’re right SaaS did run on one rule that made a lot of money for $oftware companies but sucked the life blood (money) out of businesses. In most case not a good ROI for the companies paying for it. “A fool with a tool (AI) is still a fool”
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The post below is investing in a nutshell Now ask yourself what sector is universally reviled today despite positive fundamentals, and where the story will invert six months from now when price inevitably follows fundamentals higher? Hint: it ends in “oftware”
There's no bigger universal truth in investing than "sentiment follows price" The sooner you learn this the better an investor you'll become Don't ever look at declining stock price as a sign that the business is flailing – ALWAYS look at fundamentals
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Maybe M essy S oftware F or T raders can become my new pet. No-one seems to want it and it does seem like a big steamer.
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This is spot on, Nik. Coding, or even just working with AI/Agents, has improved my output by 25x at least in what I am • learning • building • analyzing • developing I am more interested in how to eliminate SaaS bloat, or as I like to call it 'KiSS' my SaaS K-inetic i-nfrastructure S-oftware S-olutions I just want to learn new technologies, programming languages, data science methods, and solve my own problems and help others around me who show the need, or express the desire to do the same. PLUS: This post was so obviously written by you, @CoFoundersNik.
AI is exceptional at producing the first 80% of a project/product. Why? Because it’s just mimicking what it’s already seen. It’s pattern recognition. Anyone can now “one shot” a software build if it’s just a copy. And it’s seductive to think that translates to new ideas. That’s why “vibe coding” is so addictive & everyone is asking “what have you built?” But the first 80% of a solution is the promise of what it COULD be. The last 20% is the novel, grinding execution needed to “figure out” the solutions to unique problems. You constantly see the promise of what “could” and underestimate the difficulty of the last 20%. The last mile. And without the expertise or conviction, the last mile becomes impossible. This isn’t new. It’s just that millions of people are starting to discover what founders before them already knew: It’s really, really hard to build something. That’s why I think the best thing people can do is look to their own, unique experiences and expertise, find problems that need solutions in that field (the field you are uniquely suited to offer solutions in) and use AI to get you 80% of the way there. The first 80% used to take years and a lot of money. Now? You can launch in a weekend. But it’s not just software products. It’s using AI to: - run competitive analysis - research pricing - build a new customer onboarding sequence - run a cold email campaign - synthesize large data sets - organize your calendar - become a SME in just about any niche subject in your space - launch a website - brainstorm your entity structure BEFORE wasting 5 hours on attorneys and CPAs (you’ll still pay for it, it will just be more efficient) - review contracts - draft an LOI - capture ideas on the fly and build on them Vibe coding (in my opinion) won’t be about the new products that come to market. It will be about the productivity unlock for those willing to learn it. So the next time someone asks “what have you built?”, I hope we are answering in terms of REAL businesses AI has helped us accelerate and NOT SaaS products we think are going to IPO.
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I agree. I think Dan is on his 3rd or 4th successful business (and I wouldn’t bet against @SitDeck either). Technical founder turned CEO. In software that’s a leading indicator of success. So worth listening to. LLMs et al will hollow out the insides of software companies to deliver higher margins and maybe higher growth too. Enterprise customers aren’t going to buy from vibe-coded shops. They will buy from the same vendors they always did, because it reduces their risk; it is the vendors that will adopt the LLMs etc. You see this as an emerging narrative already - at $NOW, at $OKTA, even at $MSFT. I’m long $oftware.
My $0.02: Agreed. As a software business owner, I do not think that AI is going to kill software, nor would I ever even consider replacing a good engineer with an AI agent or even a swarm of agents. Why? Because I use LLMs and vibe code enough to understand the trade offs are just too great. Because I care about quality, security, reliability, and being trusted by clients. What do we do instead? Give our engineers a plethora of AI tools and encourage them to adopt as many of them as possible. But we still hold them accountable for quality. The results? Good engineers work better. They squeeze more features in. They QA their own code before it goes to QA. They speed up the ship cycle. We ship more. Customers get more. Everyone is happy. This is the "have your cake" way. And I think most software development organizations get it.
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There has clearly been a ginormo Ideas Lunch between software CEOs all of whom can now be found declaring that: - LLMs are akin to the operating system - Their code represents a “platform” (every software CEO’s favorite term since at least 1995) that acts as an “abstraction layer” over the LLM - Then they layer their apps on top Hey Presto, No Commoditization! Take That, ClaudeBot! Hey where is @DiscountedTr when you need her … there is endless material in software rn For clarity I am long $oftware because … this play will probably work for a while
$OKTA - CEO @ MS, CEO Todd McKinnon framed this as a pivotal moment for Okta, describing the company as entering a "new era" driven by the convergence of AI agents and identity infrastructure. The core thesis: every piece of software will become agentic, and Okta intends to be the identity layer for that entire ecosystem. On financials, management signaled willingness to accept ~100bps of operating margin compression in FY27 to lean into growth investments across R&D; and go-to-market, while simultaneously returning capital via a $1B share repurchase program based on the view that the stock is undervalued. 3 New products (OIG, PAM, ISPM, ITP, AI Agents) contributed ~30% of Q4 bookings with ~40% average ACV uplift, and OIG has surpassed 2,000 customers representing roughly 10% penetration in about three years. 4
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Found out the real meaning of SaaS... (S)oftware (A)lready (A)nother (S)elloff
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Troca de $oftware pra e$conder a verdade?? 🤔
Olha o Golpe
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12 Dec 2025
Replying to @TemidayoOniosun
Hardware engineering has a very low tolerance for failure compared to a oftware engineering. A small error can lead to the loss of a $300m aircraft , even with the redundancies.
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hockeystick moments are the biggest opportunity of your career. It's exciting and kinda scary. Everything changes! I wrote Scaling Fast: Software Engineering Through the Hockeystick as your guide. 16 years of startup experience condensed into 240 pages scalingfastbook.com Scaling Fast is based on startup war stories, academic research papers, talking to my mentors, and reading industry insights. It shows you what it takes to survive and thrive through the hockeystick. You'll learn about scaling teams and scaling code, how they influence each other, and why none of it matters if the business is bad. Scaling Fast: Software Engineering Through the Hockeystick is organized in 3 sections: - Scaling the Business - Scaling the Team - Scaling the Tech The business part, that's to help you evaluate the companies you join, this isn't a business book. The team part, that's key to shaping your everyday. We talk about delegating decisions, empowering engineers, working smooth instead of fast, finishing things all the way to done, good code review culture, and shipping incrementally without risky big bang releases. The tech part, that's my favorite. We talk about good abstractions, architectural complexity, observing your systems break, making steady improvements to your code without huge refactoring sprints, why tests don't solve everything, what's even worth testing, how your team structure impacts what you can do with the code, and why solving today's problem is more important than building for an imagined future. None of it is about numerical scaling [name|]. That's easy in 2025. Computers are fast. The challenge is building complex systems that don't fit in any one person's brain without breaking the business. oftware engineering when your whole company changes every 6 months is the fun part of this gig. And that's what Scaling Fast is about. 👉 scalingfastbook.com
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HR3.0時代の人材ビジネスを語る上でフィジカルAI(ロボティクス)は絶対外せない領域。際して、SDH(oftware Defined Human)という概念は絶対外せないですね! ◆世界では、中国のフィジカルAIのIRON、テスラのOptimusが凄い進化を遂げる。 ◆日本では、物流倉庫へロボ派遣がもうすぐPMF!そしてドライバーもまもなく。GMO、ソフトバンクなどが全力投資。 ◆HRビジネスでは、1100万人の労働力不足に向けて、流人型、省人型、高人型の3タイプレイヤーが成長。 ◆最も伸びしろのある省人型(AI・DX)。自動車ビジネスの次世代の勝ち筋がSDV(Software Defined Vehicle)になるのと同様、SDH(oftware Defined Human)の時代が来るのは間違いなと思う! ◆ど真ん中で勝負するのは大型投資が必要なので超大手に任せて、HRスタートアップはSDH(oftware Defined Human)のサードパーティー的なビジネスで勝つべし!!
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Couldn't get NixOS working on the new laptop's hardware, so using Ubuntu for now. Put /home in a different partition, and now snaps have stopped working (including firefox, etc.). Yikes, fragile piece of s...oftware. Why is everything so hard and so complex?
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Replying to @irek_khasyanov
ah yes provide a great oftware, maintain it, make us more money, provide awesome support and keep us happy! (but make sure its free so wee dont have to pay) lol
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Yes, running a Coreum DEX on Evernode is fully feasible and offers clear advantages over traditional cloud infrastructure for certain backend functions. While cloud platforms are ideal for hosting user interfaces, analytics, and Web2 integrations, Evernode excels at decentralized, persistent compute — making it perfect for matching engines, trading bots, compliance logic, and cross-chain automation. It removes DevOps overhead, scales automatically, and ensures censorship resistance, allowing builders to deploy backend logic that continuously interacts with the Coreum chain without relying on centralized servers. For builders prioritizing autonomy, cost-efficiency, and modularity, Evernode is a powerful backend layer that complements Coreum’s on-chain settlement and smart token features. The Coreum Stack: When to Use Cloud, When to Use Evernode, and Why Both Matter 🟦 When Coreum Builders Would Use Cloud Infrastructure Cloud platforms like AWS, Google Cloud, Azure, or Vercel are centralized, but extremely powerful. They’re ideal when you need: 🔧 Full DevOps Control Spin up servers, containers, databases, and firewalls Full control over: oftware updates and deployment schedulesUse Case Example: Hosting a Coreum DEX frontend with: Next.js frontend on Vercel Coreum RPC query wrapper on Node.js PostgreSQL database for off-chain data (user preferences, logs) 💡 Cloud gives you predictable, centralized deployment pipelines — ideal for iterative control. 📊 Real-Time Analytics and Monitoring Plug in tools like: Datadog, Grafana, Prometheus for logs and metrics Google Analytics, PostHog, or Mixpanel for user events Enables A/B testing, usage heatmaps, and business intelligence dashboardsUse Case Example: A tokenized stock dashboard showing: Number of trades per region Wallet activity heatmap Conversion funnel for onboarding new users 💡 Vital for growth teams, marketing dashboards, or real-time investor reporting.🧪 Rapid Prototyping and MVPs Cloud platforms let you: Deploy test UIs in minutes (e.g. Netlify, Vercel) Store temporary state (Redis, Firebase, MongoDB) Use CI/CD pipelines for fast iterationUse Case Example: A solo builder testing a new LP incentive dashboard for Coreum tokens using React Firebase 💡 Get your idea live without worrying about host costs, reward cycles, or gas optimization. 🌐 Web2 Integrations (KYC, Payments, CRM) Connect to off-chain services like: Stripe for fiat payments Jumio, Onfido, or Persona for KYC/AML SendGrid, Mailchimp, or Salesforce for user communicationUse Case Example: Building a compliant Coreum-based launchpad where: KYC is handled via an API Token minting only happens if the KYC webhook is verified 💡 Crucial for legally compliant token sales, regulated trading platforms, or fiat ramps. 🧍 Enterprise and B2B Requirements Some institutions require: SOC2, ISO-27001, HIPAA-compliant infrastructure Specific data center regions (EU, US-only) VPN tunneling, audit logs, and on-prem fallbackUse Case Example: Offering a tokenized portfolio portal to hedge funds or asset managers that need audit trails, role-based access, and SOC2 compliance 💡 When dealing with banks or funds, cloud compliance matters more than decentralization. 🟦 Summary: When Cloud Wins Use Cloud when your app needs: Polished user experience Deep analytics dashboards Web2 services like KYC, Stripe, CRM Fast iteration cycles Enterprise-grade security or legal requirementsTypical cloud-hosted Coreum projects: Token dashboards Wallet UIs SaaS admin panels Data analytics price oracles (centralized) API aggregators🟩 When Coreum Builders Would Use Evernode Evernode is a decentralized execution layer powered by Xahau smart contracts, designed for hosting decentralized apps (HApps) that run continuously without needing centralized infrastructure. 🧠 Agent Logic Perfect for autonomous Coreum agents: Trading bots Order routers Dynamic fee enforcers On-chain monitors These agents can: Watch Coreum smart tokens Read validator states React in real time to governance or compliance changesUse Case Example: A compliance agent that scans for wallets using an expired SoloPass and invalidates their access tokens every hour 💡 Anything that needs to react to Coreum events and enforce business logic works great here. 🤖 Persistent Compute (Always-On) Unlike smart contracts, Evernode logic runs 24/7 in a persistent VM No need to trigger with a transaction or worry about gas limits Host logic like: LP rebalancing across Coreum pools Multi-step token vesting/claims Real-time compliance scanning Event scheduling (e.g., "mint 100 tokens every 6 hours") Use Case Example: A Coreum-based yield optimizer that constantly rebalances assets between pools and staking validators for max APY 💡 Perfect for bot logic and off-chain coordination with Coreum finality. 🏛️ Decentralization Censorship Resistance No reliance on AWS, Google, or one hosting region No takedown risk from subpoenas, payment processor bans, or firewall rules Evernode Hosts are chosen by the network, not provisioned by a central adminUse Case Example: Launching a global DEX backend that can’t be taken offline by U.S. sanctions or GDPR rules 💡 Important for global users, blacklisted regions, or when operating in adversarial environments. 🧩 Composability Between HApps Multiple HApps can talk to each other: A DEX agent checks a wallet balance agent before routing A KYC agent calls a subscription token validator You can build off-chain microservices that form a coordinated automation layer over CoreumUse Case Example: A multi-agent RWA issuance platform: Agent 1: validates identity Agent 2: mints token with Coreum smart logic Agent 3: notifies investor via webhook 💡 This is like building a decentralized Zapier for Coreum-native automation. 💸 Cost-Efficiency via Serverless Compute You pay per cycle, not per hour or server Evernode Hosts compete for your HApp — cheaper Hosts win your business Costs scale only with demand, not idle timeUse Case Example: A low-volume compliance scanner that only needs to activate when a token is transferred — pay just cents per day 💡 Much cheaper than reserving a VM or container in the cloud for passive tasks. 🟩 Summary: When Evernode Wins Use Evernode when your app needs: Always-on agents or bots Smart compliance enforcement Autonomous, reactive Coreum logic Lower cost for long-running scripts Decentralization and legal neutralityTypical Evernode-hosted Coreum projects: DEX matching engines SoloPass validators and enforcers Auto-stakers and reward routers Event listeners for token logic Subscription access checkers 🔁 Use Both in Harmony In most production-grade dApps, the best architecture is:LayerPlatform 🌍 Frontend UICloud (Vercel, GCP) 📊 Analytics & AdminCloud (Firebase, AWS) ⚙️ Agent/Bot LogicEvernode (Xahau-based HApps) 🔗 Compliance SettlementCoreum (Smart Tokens, CosmWasm)Want me to turn this into a diagram, grant proposal section, or pitch deck slide? You said: leave out SoloPass mention ChatGPT said: Absolutely — here’s the fully refined and expanded version of when Coreum builders should use Cloud vs. Evernode, without any mention of SoloPass. This version focuses on infrastructure and developer logic only, leaving out any specific product mentions. 🟦 When Coreum Builders Would Use Cloud Infrastructure Platforms like AWS, Google Cloud, Azure, or Vercel offer centralized, enterprise-grade services for applications that demand performance, integration, and iteration speed. 🔧 Full DevOps Control Cloud gives developers direct access to: Containers (Docker, Kubernetes) File systems, databases, firewalls, and routing layers Custom environments for staging, production, and CI/CD pipelinesExample Use Case: Deploying a Coreum DEX frontend, a transaction viewer, or an API gateway that connects to multiple blockchains and off-chain services. Ideal when you need fine-grained control over infrastructure and uptime SLAs. 📊 Real-Time Analytics and Observability Plug in tools like Datadog, Grafana, or Mixpanel Monitor traffic, performance, and event logs in real time Enable A/B testing, user heatmaps, and funnel trackingExample Use Case: A tokenized dashboard showing trading activity, wallet events, or user conversion for a launch platform. Essential for growth teams, ops engineers, and B2B analytics dashboards. 🧪 Rapid Prototyping and MVP Deployment Launch test apps in minutes using Vercel, Netlify, or Firebase Run dev servers with hot reloads and version control Use backend-as-a-service (like Supabase) for early-stage developmentExample Use Case: Testing a new Coreum-based trading UI, or running a campaign for early liquidity providers using Web2 forms and token checkers. Cloud is perfect for hackathons, proof-of-concept builds, and UX experiments. 🌐 Web2 Integration Layers Easy access to REST APIs, OAuth services, and SDKs Plug into: Payment platforms like Stripe Identity verification (e.g., OAuth, email auth) CRM and communication platforms like SendGrid or IntercomExample Use Case: Creating a token launch site where users can sign in, complete onboarding, and fund their wallets with fiat — all without touching blockchain yet. Cloud makes bridging Web2 and Web3 seamless for onboarding and growth. 🧍 Enterprise Regulatory Requirements Many enterprise clients require: SOC2, ISO27001, HIPAA, or GDPR-compliant hosting Geographic control over data (e.g., EU-only servers) On-premise integration or VPN tunnelingExample Use Case: A Coreum-integrated platform serving hedge funds or financial institutions that demand audit logs, role-based access control, and backend traceability. Cloud infrastructure is often non-negotiable for regulated clients. 🟦 Cloud Summary: When It Wins Use cloud infrastructure when you need: UX polish and frontend control Data pipelines, dashboards, logs Fast iteration and tight dev cycles Web2 compatibility Compliance with client security frameworksTypical Cloud-hosted Coreum Projects: Trading dashboards Token portals Wallet UIs Index or portfolio visualizers Token vesting admin panels 🟩 When Coreum Builders Would Use Evernode Evernode, built on Xahau, enables decentralized execution of backend logic through "HApps" — autonomous, persistent applications run by a competitive network of Hosts. 🧠 Agent-Based Logic Use Evernode to run autonomous bots or trading agents Ideal for: Matching engines Risk management evaluators Oracle synchronization Custom fee enforcementExample Use Case: An off-chain order router that watches Coreum pools and matches trades based on liquidity, region, or asset class. Ideal for replacing what would normally require a centralized server with persistent, decentralized logic. 🤖 Persistent 24/7 Execution Unlike smart contracts, Evernode logic doesn’t require transactions to activate Code runs continuously and independently of user actions No gas costs per operation — only compute cyclesExample Use Case: Running a real-time monitor that watches Coreum block events, tracks validator uptime, and rebalances assets every hour. Suited for anything that should run continuously without depending on user-triggered calls. 🏛️ Infrastructure Decentralization Hosted across many independent node operators Avoids single points of failure, region outages, or takedown risk Removes dependence on AWS, GCP, or any single providerExample Use Case: A compliance-aware DEX backend that must be censorship-resistant, immune to regional bans, or outside U.S. cloud jurisdiction. Evernode enables real decentralization beyond tokenomics — at the infrastructure layer. 🧩 Composability Across HApps Multiple HApps can interact or call each other Enables complex workflows: Bot calls price feed HApp → validates → sends tx to Coreum Trade matching HApp → pings approval HApp → returns routeExample Use Case: A modular DEX system where one HApp handles matching, another risk assessment, and another UI-facing query logic — each independently hosted, yet composable. Encourages decentralized microservices that scale horizontally. 💸 Cost Efficiency (Pay-As-You-Go Compute) You don’t rent a full server or container You pay only for CPU/memory cycles used Multiple Hosts bid to run your HApp, driving cost downExample Use Case: Running a low-volume scanner that only checks Coreum block data every 60 seconds for flagged tokens or governance triggers. Significantly cheaper than running idle backend logic 24/7 on cloud. 🟩 Evernode Summary: When It Wins Use Evernode when you need: Autonomous, reactive logic tied to Coreum Persistent bots or monitors Low-cost decentralized compute Censorship-resistant infrastructure Backend modularity across multiple agents Typical Evernode-hosted Coreum Projects: Matching engines for DEXs Automated price oracles Compliance rule enforcers Real-time chain watchers Multi-agent coordination layers 🧠 Combined Strategy Layer Recommended Platform Frontend / UICloud (Vercel, GCP, AWS)Data Analytics Cloud (Firebase, BigQuery, Mixpanel)Persistent Agents / BotsEvernode (HApps on Xahau) Smart Token Execution Coreum Layer 1 (CosmWasm / MsgSend)By combining Cloud Evernode Coreum, builders can create: Highly performant frontends Censorship-resistant backend automation Fully composable logic with smart tokens Decentralized infra with enterprise-grade UX #Coreum #Evernode #DEX #DeFiInfrastructure #DecentralizedCompute #Web3Backend #SmartTokens #PermissionlessFinance #CoreumEcosystem #ModularDeFi #Xahau #PersistentAgents #CloudAlternative #DecentralizedHosting #TokenizedAssets
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