Alternatives
Products that do what InferDI does
Next-gen TypeScript DI. The graph is the type.
- 1ZC
2025 · github.com
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Hello! This is Jeane and Samuel and we’re building RecipeUI. RecipeUI is an open source Postman alternative that uses TypeScript to statically type and autocomplete requests. We built this because current API tools don’t deal with the fact that some APIs are just painful to work with. For us, it’s usually error after error as we try to figure out how to properly form the first request. We recorded a demo to show you how TypeScript helps us autocomplete a request correctly. https://youtu.be/O_Mly_p-g5s How does our platform improve the developer experience? The analogy is…
2023 · recipeui.com
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We've been building Crust (https://crustjs.com/), a TypeScript-first, Bun-native CLI framework with zero dependencies. It's been powering our core product internally for a while, and we're now open-sourcing it. The problem we kept running into: existing CLI frameworks in the JS ecosystem are either minimal arg parsers where you wire everything yourself, or heavyweight frameworks with large dependency trees and Node-era assumptions. We wanted something in between. What Crust does differently: - Full type inference from definitions — args and flags are inferred automatically. No…
Mar 2026 · github.com
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Hi Hacker News! My name is Sagar, I’m working on a startup called Speakeasy - we’re making all APIs self-service. The platform is currently in beta, but we’re independently launching this tool which you can use to generate language-idiomatic, statically-typed TS SDKs from any public OpenAPI schemas. We hope to continue iterating on this to give devs a way to easily generate high fidelity client SDKs for all the major languages. Inspiration for this product is from past experiences struggling with OpenAPI. I was originally optimistic about using the OpenAPI tools to build out our offering,…
2022 · easysdk.xyz
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Hey HN! After years of wrestling with Lodash's quirks and bundle size issues, I decided to build something better. SuperUtilsPlus is my attempt at creating the utility library I wish existed. What makes it different? TypeScript-first approach: Unlike Lodash's retrofitted types, I built this from the ground up with TypeScript. The type inference actually works the way you'd expect it to. Sensible defaults: Some of Lodash's decisions always bugged me. Like isObject([]) returning true - arrays aren't objects in my mental model. Or isNumber(NaN) being true when NaN literally stands for "Not a…
2025 · github.com
- 11TD
Made an online tool for creating diagrams with TypeScript. I quite like it for thinking about how to shape my data, even if I end up using a different language in the end.
2023 · tsdiagram.com
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2018 · github.com
- 13RA
2022 · github.com
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Hi HN! We’re excited to share our new code generator that lets you ship high-quality TypeScript SDKs, that your users will love, from your OpenAPI documents. Our ongoing goal is to help you build one SDK that runs anywhere modern JavaScript runs. This includes new runtimes like Deno and Bun in addition to the ever-popular Node.js. Additionally, the popularity of AI has meant server-sent events and file streaming are also commonplace - we wanted to cover these use cases too. This explosion in new runtimes and ways of interacting with APIs shifts cognitive burden on API developers often having…
2024 · speakeasyapi.dev
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2023 · github.com
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- 18EM
Hello, folks. I'm Jiang, the author of ESInfer. I love writing Javascript because it has a prosperous ecosystem and is quick to get my hands dirty. However, sometimes it's painful when the flow is not fast to follow due to the lack of a type system. To solve this, I wrote ESInfer, a statical inference tool, to automatically type check and generate type annotations for Javascript. It works with pure Javascript without any add-ons to the language or user-space code and supports highly dynamic features, such as the modification of prototypes. It is still in the very early stage, which offers…
2022 · esinfer.com
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2023 · typeapi.org
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2025 · github.com
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Initially I started building this for my own projects. The main goal was to define a unified "blueprint" allowing me to develop multi-platform apps using the same code, without code generation. I wanted to be able to develop the same functionality on web, desktop, cli, server, mobile, whatever... I've been able to achieve this by relying on TypeScript, a 4-layer architecture (UseCase => App => Product => Target) and dependency injection. This mechanism allows me to use whatever tech stack I want, provided the good adapters are developed. For instance, I have pre-built ones : node express…
2025 · github.com
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Hey HN! We just released a new library for building LLM-powered applications: @axflow/models. It is part of a larger suite of libraries we're developing for TypeScript developers working with generative AI. This library provides the simplest APIs for 1) invoking the most popular LLM and embedding models (openai, anthropic, cohere, huggingface, etc.) 2) streaming LLM responses to clients, including augmenting the streams with additional arbitrary data and 3) building client-side applications with React hooks. @axflow/models has zero dependencies and is built using only the…
2023 · docs.axflow.dev
- 24TA
2025 · gist.github.com
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