... corporate world is undergoing a profound technological metamorphosis. Businesses no longer rely solely on static infrastructures or traditional desktop environments to manage operations. Mobility, flexibility, and real-time connectivity have become indispensable components of modern enterprise architecture.Organizations across industries are investing heavily in digital transformation strategies to remain agile in an increasingly competitive marketplace. One of the most influential drivers of this transformation is enterprise mobile app development NYC , which enables companies to build intelligent, scalable, and interconnected business ecosystems.Enterprise ... ... standard apps often focus on entertainment or basic functionality, enterprise solutions are engineered to support intricate organizational processes. These applications integrate with existing business systems such as customer relationship management platforms, enterprise resource planning software, inventory databases, and cloud infrastructures

... Product Hunt community! The AI boom has democratized code, but infrastructure hasn't caught up. Scaling an AI application today means committing to heavy, complex data platforms that charge premium enterprise rates in USD from day one. This keeps amazing independent developers and regional startups out of the game. We think the future belongs to lean teams who can "Build in a weekend and scale to millions." To support this, we are working on a frictionless, ultra-fast AI data ... ... infrastructure

... finished #5 Product of the Day. Here's what three days of 60+ comments actually taught us. We launched Cloud World Model on Product Hunt last week. The pitch: simulate AWS, GCP, Azure, OCI, and DigitalOcean infrastructure without provisioning real resources. You describe an architecture compute, databases, load balancers, serverless functions and the simulator models latency curves, CPU saturation, autoscaling behavior, failure propagation, and cost. No cloud bill. We expected interest from learners. The comments told a different story. What ... ... structural solution and we're working on exposing an eval environment configuration. The use cases we discovered The ones we expected: simulation for learners, architecture validation, cost estimation. The ones the community surfaced: Architecture reviews before anyone writes an infrastructure

... video conferencing inside the inbox. We're relaunching on Product Hunt soon with a lot of new features, and before we do, I wanted to open the floor. We've spent the last year deep in email infrastructure SPF, DKIM, DMARC, bounce handling, deliverability tuning, bulk sending, cold outreach sequences, white-label hosting, IMAP/SMTP, the works. If you have questions about any of it, ask below. Happy to go as deep as needed. Cold email deliverability and domain health ... ... vs

... most important AI companies in the world, just posted a job for an SEO Lead. The salary range: $255,000 $320,000 . Here is the link : https://job-boards.greenhouse.io... The role: "own organic search strategy and technical SEO infrastructure across Anthropic's web properties including claude.ai , docs.anthropic.com , and anthropic.com ensuring our products and developer resources are discoverable, performant, and well-positioned in an evolving search landscape." The responsibilities include sitemaps, structured data (JSON LD), canonical tags, redirect strategies, robots.txt, Core ... ... companies building AI. Anthropic is not spending $320k on an SEO Lead because they believe people will stop searching. They are spending that much because they believe the opposite. AI search is not killing search. It is changing the infrastructure

... Cursor just dropped " Origin ," a GitHub competitor. Cursor is moving way beyond "VS

... avoid social media and instead read my favorite newsletters Comment from Yaser Alosefer(@alosefer): My five are a mix of development, infrastructure, security, and automation: 1. Claude Code: for exploring large codebases, reviewing architecture, debugging difficult issues, and automating repetitive engineering work. 2. Cloudflare: for DNS, application security, traffic protection, caching, and managing services at the edge. 3. VS

... everyone I m part of the team behind Lightning, a platform focused on crypto trading infrastructure for professional trading teams, market makers, and Web3 projects. Recently, I've been spending a lot of time working on prediction-market modules, liquidity management workflows, AI-assisted monitoring, and automated trading systems. I joined Product Hunt to: Learn from other builders and makers Discover interesting products and ideas Improve how we communicate complex infrastructure

... everyone I m a builder working on crypto trading infrastructure tools. Recently, I ve been focusing on prediction-style market modules and market-following bot workflows for professional crypto trading teams. I joined Product Hunt to: - Learn from other makers - Follow interesting product launches - Get better at explaining technical infrastructure

... hosts (too limiting) and hyperscalers (too complex). The result? Fragmented tools, surprise billing, and no clear path to production. LayerRail fixes that: One control plane for VMs, PostgreSQL, Kubernetes, load balancers, GPU workloads, and AI endpoints. Open-source cloud infrastructure no black-box wrapper. Visible, practical, production-minded from day one. Start simple. Stay in flow. Scale without switching platforms. PS: Free credits for developers to test the platform contact us for details. Let's stay connected - I'd love ...

... Introducing MegaNode.work Most uptime monitoring platforms rely on a limited number of centralized monitoring locations. When a monitoring server, ISP, or region has issues, false alerts can happen. MegaNode takes a different approach. MegaNode is a DePIN (Distributed Infrastructure Network) for infrastructure

... Setting IDEs aside for this one - Cursor, Windsurf, VS Code + Copilot live in a different conversation. I'm specifically curious about CLI-and-agent territory. A year ago the answer for most of us was straightforward: open Claude Code or Codex, talk to it, ship code. That CLI was the entry point. Now the stack is wider. Hermes, OpenClaw, Klesh, custom MCP-based orchestrators, personal AI runtimes like PAI (Daniel Miessler's Personal AI Infrastructure

... roughly 100 articles and 400,000 words, compiled entirely by an AI from his raw research docs. He didn't write a single word of it. It's one of the most compelling demos of what personal AI knowledge infrastructure can look like. But here's the problem: The wiki lives on his machine. Every time he opens a different AI tool, it knows nothing about it. That's not a Karpathy problem. That's everyone's problem. Some other ... ... Switch tools and you start over. They are not solving the portability problem. They are each building their own silo of you. The real issue is that context continuity is being treated as a feature when it is actually infrastructure

... Product Hunt, I m Jai Jha, founder of InfraOne AI Labs. I started building InfraOne

... working through and feedback and contributions on that front are very welcome. oneInfer-edge is part of the broader oneinfer.ai inference control plane, a platform built for teams shipping multimodal AI products at scale. oneInfer-edge brings that same infrastructure intelligence to your local machine so self-hosting is a genuine alternative

... everyone I m currently building Geobeam a platform focused on affordable AI API access and AI agent infrastructure. The reason I started this project is simple: Many developers, indie hackers, and small startups want to build with AI, but API costs are becoming a serious barrier. Especially for: small teams solo founders experimental AI projects AI agent developers So we re trying to make AI access simpler and more affordable. Geobeam is designed to help users: Access AI APIs ... ... lower cost Experiment with AI agents more easily Reduce infrastructure

... solved what comes after. Working on something early stage in this space. Not ready to share details yet but want to understand how real this pain is for other builders before going too deep. How do you currently handle infra setup? And what part of it do you hate the most? Comment from Joe Thomas(@jthomas2174): Used to be in that boat before, but lately some creative strategies around leveraging vibe coding as the starting point ... ... stack understanding and overview is still needed, but can cut costs and efforts significantly if you take a very planned approach from the start. That's been my experience. Comment from Lucy Rolff(@lucy_rolff): I think developers tolerate infra

... everyone I m Pavan Kumar Rapata from India. I work in GTM, growth, partnerships, and community outreach for AI infrastructure and internet products. Currently spending most of my time around: AI infrastructure

... alone Answers come back in 7-11 seconds Hallucinations spike on complex multi-hop queries Zero audit trail; no compliance team can explain a single AI decision to a regulator That's not an AI problem. That's an infrastructure problem. And nobody was solving it at the layer it actually needed to be solved. So we rebuilt the memory layer from scratch, not as a search index, but as an intelligence layer that understands context, relationships, and confidence . Fast ... ... enough to answer before the LLM loads. Accurate enough to stake a compliance decision on. Where we are today: Sub-10ms query latency 67% reduction in LLM inference costs vs

... Open Wearables is what we wish had existed when we started. It's already running in production inside healthcare and wellness apps, including AI coaching products built on top of it. The bet is simple. Wearable data is becoming infrastructure, not a feature. Infrastructure

... real project structures, most production-ready RWA platforms fall within a range of $100,000 to $250,000. This range typically includes a working tokenization engine, smart contract development, basic compliance integration, user dashboards, asset management, and secure infrastructure setup. However, this is only the starting point for understanding cost. The moment you expand beyond basic functionality, the budget begins to shift. Platforms that aim to support multiple asset types, cross-border investors, or advanced trading features often move beyond ... ... more. In enterprise-level cases where full compliance, institutional-grade security, and large-scale infrastructure

... this yet: They re not building products. They re building glue code between unstable systems . Every model = different API Every provider = different behavior Every outage = your problem This doesn t scale. We built BabySea to fix this at the infrastructure level. Not another wrapper. Not another SDK. An inference infrastructure

... clinical layer a non-invasive medical device capturing physiological signals to support NHS ADHD triage. Because the problem starts with how long it takes to get diagnosed in the first place. This isn't a product. It's an infrastructure for a community that has been underserved, misunderstood, and made to feel broken by systems that weren't built for them. I have lived experience. I'm building from the inside out. Comment from Olga Kargopolova(@olga_kargopolova): The fact ...

... ProductHunt! Trophy is now powering over 24M streaks which is kind of crazy to think about considering we only launched 1.0 here in January this year. One of the parts I find most interesting about building horizontal infrastructure is that as you scale and power more and more products you get to see insights that most teams building in isolation will only see a part of, and you can use those insights to make the the infrastructure

... idea. I had a plan. And the first thing people asked was, "Have you talked to investors?" My answer was no. And it still is. Not because I couldn't. But because I genuinely believe the best infrastructure gets built when you're obsessed with the problem, not the pitch deck. Investors optimise for scale before depth. I wanted to go deep first. So I bootstrapped. Every line of code, every architectural decision, every late night ... ... external money, no board telling us what to prioritise. Just a problem worth solving and the patience to solve it right. The problem? AI voice calling infrastructure