Dev tools · alternatives · 2026
24 alternatives to Stacktical, a scalability prediction platform
Hi guys, we're Wilhem from Paris and Jean-Daniel from Tokyo, software engineers with a passion for all things cloud (IaaS, PaaS, SaaS). We recently decided to tackle the problem of Capacity Planning with Stacktical, a Scalability Prediction service (https://stacktical.com). For a decade, we've been observing our clients and colleagues trying to nail down their strategy using repeated cycles of defining, collecting and interpreting load testing campaigns. It's funny how most people don't realize how demanding the work of infrastructure managers and their teams really is... While…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Stacktical, a scalability prediction platform launched in 2016; newer entries below may have overtaken it.
- 1
Stacktical▲100A scalability report for every new release of your product
2017 · stacktical.com · its alternatives →
- 2
SelfHostLLM▲134A simple calculator that estimates how many concurrent requests your GPU can handle for a given LLM, with shareable results.
2025 · selfhostllm.org · its alternatives →
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Hey HN, I am the founder of Tensorlake. Prototyping LLM applications have become a lot easier, building decision making LLM applications that work on constantly updating data is still very challenging in production settings. The systems engineering problems that we have seen people face are - 1. Reliably process ingested content in real time if the application is sensitive to freshness of information. 2. Being able to bring in any kind of model, and run different parts of the pipeline on GPUs and CPUs. 3. Fault Tolerance to ingestion spike, compute infrastructure failure. 4. Scaling compute,…
2024 · getindexify.ai · its alternatives →
- 6
Hi HN! We’re Yann, Edouard, and Bastien from Koyeb (https://www.koyeb.com/). We’re building a platform to let you deploy full-stack apps on high-performance hardware around the world, with zero configuration. We provide a “global serverless feeling”, without the hassle of re-writing all your apps or managing k8s complexity [1]. We built Scaleway, a cloud service provider where we designed ARM servers and provided them as cloud servers. During our time there, we saw customers struggle with the same issues while trying to deploy full-stack applications and APIs resiliently. As…
2023 · koyeb.com · its alternatives →
- 7UD
Hey HN! I’m the founder of Unify, and we’ve just released our Model Hub, which provides a collection of LLM endpoints with live runtime benchmarks all plotted across time: https://unify.ai/hub A key finding is that static tabular runtime benchmarks for LLMs simply do not work. It’s necessary to take a time-series perspective, and plot the variations through time. We currently have 21 models provided by: Anyscale, Perplexity AI, Replicate, Together AI, OctoAI, Mistral AI and OpenAI, with more on the roadmap. We test across different regions (Asia, US, Europe), with varied…
2024 · its alternatives →
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BareMetal for the private/public cloud. Contribute to ReturnInfinity/BareMetal-Cloud development by creating an account on GitHub.
Jan 2026 · github.com · its alternatives →
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Inspired by the recent justfuckingusetailwind.com, I built a similar "love letter" to the Cloudflare ecosystem. I find myself reaching for Workers, R2, D1, and KV for almost every project lately, so I wanted to capture that sentiment in a single, slightly over-the-top page. It’s a simple side project, but the stack is: - Vite + TypeScript - Biome + Ultracite - Deployed (obviously) on Cloudflare First draft in Claude, the copy was drafted with Grok to get that specific tone, then I used Google's AI Studio to accelerate the build with touch up's in Cursor. Link:…
Dec 2025 · justfuckingusecloudflare.com · its alternatives →
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High performance storage engine for efficient LLM inference and GPU Training.
Sep 2026 · theopenlake.com · its alternatives →
- 11WW
Restructure your knowledge of the complex data analytics landscape, and learn how to build scalable analytics & BI stacks in the modern cloud era
2020 · holistics.io · its alternatives →
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Hello Hacker News, this is Ashish. We started building Stackdome in 2024 as a hobby project. The idea was to package the tooling in the CNCF/cloud-native ecosystem into an opinionated platform, so that developers can get a well engineered platform without learning Kubernetes YAMLology or a dozen other projects from the CNCF landscape. Railway and Render did this well for their hosted products. I wanted to bring that level of polish and DX to something you can self-host. Stackdome uses Kubernetes underneath, but it's completely transparent to users. (I have some ideas for an expert mode…
Aug 2026 · stackdome.com · its alternatives →
- 13WB
We’ve been building a Cloud-Managed Hypervisor that makes running applications on your own servers as effortless as the public cloud. Over my career I’ve watched the transition from on-prem to public cloud. The cloud paradigm shift is as much about empowering engineers as it is about elastic infrastructure, but the tooling for on-prem and private clouds is at best heavyweight and at worst stuck in the last century. We've tackled some interesting problems in the process of building this, such as providing a cloud-style metadata service from our platform. We’d love for you to read our story…
2023 · gallium.cloud · its alternatives →
- 14MI
I've been working on a platform that uses LLMs to build maintain and manage k8s clusters on any cloud. The system writes infra as code to your Github repos and automatically containerizes and scales any services (public or private). The goal is to give your average engineer a vercel-like deployment experience for any service in any language at minimal cost. We have humans involved at the moment auditing LLM outputs and keeping an eye on clusters. We are looking for folks who may be thinking about their first infra/devops hire. Just connect your github and your cloud provider. The system…
2024 · milkinfrastructure.com · its alternatives →
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Brimble▲8We’ve been building Brimble — a modern hosting platform for developers to ship fullstack apps easily. It’s just two of us. No funding. No marketing team. We’ve shared Brimble a bit on X(twitter), but never really launched it properly. Brimble lets you: - Deploy fullstack apps (Next.js, Laravel, Node, etc.) - Access multiple AI models via a single API - Host static sites and Docker apps - Deploy MCP servers - Provision databases in one click - Manage custom domains directly It actually works. People are using it. But we’re now ready to really put it out there and see what the dev world…
2023 · brimble.io · its alternatives →
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Hey HN, we’re the developers of OpenLake, an open source storage engine for offloading LLM KV caches from GPU memory into a shared tier of RAM and NVMe. We built OpenLake because KV caches are outgrowing GPU memory. A single 256K token conversation on Gemma 4 31B produces approximately 43GB of KV state, more than half the memory of an 80GB H100. The problem becomes even harder across a cluster: a prefix cached on one GPU host is unavailable when the next request lands on a different GPU, forcing the new GPU to repeat work the fleet has already completed. Once the KV cache is offloaded,…
Jul 2026 · github.com · its alternatives →
- 17CA
Imagine you have to make a little change in all your microservices, like changing a line in Dockerfile, but you have 50 microservices, ouch right! The PRs, pipelines, reviews... I have created a dashboard with a chatbot where you can simply ask "Update all repositories with alpine base image version X to Y", and then click next a bunch of time and see a list of PRs with their pipeline status. Hi friends I'm Daniel, the creator of Infra as AI. I was laid off from my SRE role a couple of months ago, and decided to build something that could always help me at work. My job was to keep the lights…
2025 · infrastructureas.ai · its alternatives →
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Frustrated by the complexity and resource drain of multi service monitoring stacks, I built Simon. I wanted a single, lightweight dashboard to replace the heavy stack and the constant need for an SSH client for routine tasks. The result is a resource efficient dashboard in a single Rust binary, just a couple of megabytes in size. Its support for various architectures on Linux also makes it ideal for embedded systems and lightweight SBCs. It integrates: Comprehensive Monitoring: Realtime and historical metrics for the host system and Docker containers (CPU, memory, disk usage, and network…
Nov 2025 · github.com · its alternatives →
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Ship in days, not months. Cloudflare-native SaaS monorepo.
Apr 2026 · ottabase.com · its alternatives →
- 20AN
Kimi K3 has 2.78 trillion parameters and ships as 1.42 TB of weights. It clearly does not fit in the memory of a laptop. But K3 is a Mixture-of-Experts model. For each token, only a small fraction of its 896 experts per layer is activated. That changes the problem: the entire model does not need to be resident in RAM, as long as the weights required by each token can be reached quickly enough. We built WASTE — the Weight-Aware Streaming Tensor Engine — to explore that idea. WASTE keeps the dense, repeatedly used part of the model resident in memory, stores the routed experts in an…
Jul 2026 · its alternatives →
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Hi everyone, it’s Alex, Simon, Felipe and the team from Unikraft.io We have built kraft.cloud, a millisecond cloud platform, where apps and services cold start, scale to zero and autoscale in milliseconds, ensuring you never pay for idle, can efficiently cope with traffic peaks, and don’t have to deal with complex cold start issues. As of today we are now in open early access! The platform (and we) come from research in the area of lightweight virtualization — trying to ask the question of how efficient cloud platforms could (or should) be while still retaining strong, hardware-level…
2024 · kraft.cloud · its alternatives →
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- 23BT
It's free servers monitoring and centralized cloud management app. We're hoping to lunch anytime soon. What do you think? Thanks.
2013 · cloudiff.com · its alternatives →
- 24CW
Hello HN, Lucas here. I’ve been working with BigQuery for ~5 years, mostly in large (petabyte-scale) environments. Over time we ended up spending a lot of money and engineering effort just trying to understand where costs were coming from, why and how to optimize them. At some point we decided to stop, leverage all our past experience and spend a full cycle building tooling focused on cost visibility and optimization. The main goal was to regain ownership of cost data and make it possible to understand our cost structure in under a minute, while aligning the views of engineering and FinOps…
Jan 2026 · cloudclerk.ai · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →