Alternatives
Products that do what Testamentum does
Self-service will creation tool incl. inheritance simulator
- 1
CreateOS▲539Build and deploy apps from any AI coding tool, in one place
Feb 2026 · createos.nodeops.network
- 2AC
2024 · github.com
- 3
- 4AP
Hey, Jared Palmer (creator of this playground) here. Really excited to ship this. I’ve been building this over the past few weeks to compare LLMs from different providers like OpenAI, Anthropic, Cohere, etc. At Vercel, I manage our Frameworks division (including Next.js, Svelte, and Turbo) and wanted to also dogfood some of the latest features in a slightly larger application. This playground takes a lot of inspiration from https://nat.dev and is built on Tailwind, ui.shadcn.com, and some upcoming Vercel products we’re announcing soon. We’re going to continue adding models to…
2023 · play.vercel.ai
- 5
- 6IB
Hey HN, I am proud to show you guys that I have built an open source alternative to Azure OpenAI services. Azure OpenAI services was born out of companies needing enhanced security and access control for using different GPT models. I want to build an OSS version of Azure OpenAI services that people could self host in their own infrastructure. "How can I track LLM spend per API key?" "Can I create a development OpenAI API key with limited access for Bob?" "Can I see my LLM spend breakdown by models and endpoints?" "Can I create 100 OpenAI API keys that my students could use in a classroom…
2023 · github.com
- 7
- 8
- 9
- 10IB
Feb 2026 · clojure.stream
- 11UL
Recently featured in a LangChain blog https://blog.langchain.dev/empowering-development-with-flowt... , use LLMs to construct an API first runnable workflow with an IDE experience.
2024 · github.com
- 12OS
2023 · sugarcaneai.dev
- 13VW
Our project, Outlines, now offers guided/constrained generation (e.g. according to a JSON schema) via the VLLM library. My colleague, Rémi, created some patches that allow one to pass vLLM a JSON schema along with the prompt, which dramatically simplifies deployment of JSON-guided generation. He also added a new `serve` interface that puts it all together and makes serving such models a 2-3 line process. Check it out and tell us what you think!
2023 · outlines-dev.github.io
- 14
- 15
Create mock APIs in seconds with AI. Ship prototypes faster.
Dec 2025 · mocknica.dev
- 16LL
May 2026 · github.com
- 17OC
Hi HN, I'm excited to introduce onctl, a lightweight tool for provisioning and managing virtual machines/instances. It's designed to be cloud-agnostic, working seamlessly across cloud and on-prem environments without relying on cloud-specific solutions. Key highlights: VM-focused: Supports only VM management, keeping things simple and efficient. Uses simple SSH scripts: Under the hood, onctl operates using straightforward SSH scripts, making it easy to understand and customize. Ready-to-use templates: Start quickly with pre-defined templates for common use cases. Examples include: K3s…
2024 · github.com
- 18PA
Hi HN, I’m Thijs, new to the community and excited (and a bit nervous) to share what I’ve been working on: it's called Prototyper. The motivation: I was curious how much more "taste" you could get out of an LLM if you built the entire infra yourself: tool calling, code execution, rendering—instead of layering on top of existing stacks. Over the past year I built a custom compiler, runtime, and design engine from scratch to see if this could make LLM-driven design genuinely better. A few details: - Own compiler + code runtime → no shadcn, no third-party UI kit, no external execution layer. -…
2025 · getaprototype.com
- 19OS
I have been trying to create AI retool where tooling is done via AI, to create full stack apps like internal portals, ERP apps. Which led me to an architecture where we give ai pre build component, tools and let is just do the binding, content generation work to create full stack apps. With this approach in a single prompt AI is able to generate final config jsons using chained/looped agentic llm flow and we render a full stack app with the configs at the end. I have open sourced the whole project whole code, app builder, agentic architecture, backend for you to use. Github:…
2025 · oneshotcodegen.com
- 20HP
Hi HN. I heard you like dev tools and AI, so we wanted to share our project that we’ve been working on. We’re working on Horizon [1] - a higher level abstraction for LLMs so that developers can spend less time trying to grapple with LLMs to make them work and more time with users. This is the starting feature set which takes an auto-ML approach to identify the optimal LLM model, hyperparameters, and prompt - instead of just giving you the tooling to figure it out yourself. You can read more about it in our documentations. Our view is that as LLMs become increasingly commoditized and prompts…
2023 · gethorizon.ai
- 21
We just open sourced a first class our AI web app builder. Instead of using another hosted AI coding platform, you can fork this project and build your own AI app builder, fully customized and running under your own brand. It includes: Next.js + TypeScript AI chat with streaming Artifact generation File explorer Code editor Live preview Databases Sandboxes to be used by AI agents Versions Responsive production-ready UI And a lot more... The only required dependency is the Totalum API, which exposes the AI generation engine through a simple REST API. You can replace or extend the backend…
Jul 2026 · github.com
- 22AP
As a former CIO who managed teams working with millions of lines of legacy code (Visual Basic, Sybase, Oracle Forms, and worse), I feel the pain of maintaining and onboarding developers to legacy systems. Believing that LLM-enabled tools can play a role in solving this, I've built a tool that automatically generates documentation for legacy codebases using the Model Context Protocol (MCP) & Claude Sonnet. At first glance, I think this approach has merit. Some samples are in the README. I welcome your thoughts. The Problem: - Legacy codebases are notoriously difficult to understand and…
2025 · github.com
- 23LA
Hi HN, I am Jan, CTO and co-founder of Pathway.com. We’ve built a LLM microservice that answers questions about a corpus of documents, while automatically reacting to additions of new docs. The single, self-contained service fully replaces a complex multi-system pipeline that scans in real-time for new documents, indexes them into a specialized database and queries it to generate answers. Everyone can have their own real-time vector now. Github: https://github.com/pathwaycom/llm-app Demo video: https://youtu.be/kcrJSk00duw I am eager to hear your thoughts…
2023 · github.com
- 24
Mobile device simulator and professional mockup studio.
Jun 2026 · chromewebstore.google.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →