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Alternatives

Products that do what Gronex does

Backend interview prep in real repos, not algorithm puzzles

  1. 1

    Make engineering interviews look more like real work

    2023

  2. 2LB

    Howdy friends! Tell me if this is an atrociously terrible idea - I've been working on building a leetcode for clientside devs so we can practice React and Javascript interview questions in a more concise way, I call it clientside.dev I just finished a beta version of it yesterday and plan on releasing it with many more problems on Jan 1st but it's there if you wanna play with it open to any ideas / feedback however mean or nice it may be :)

    2022 · vacation-call-335691.framer.app

  3. 3
    Algochurn187

    Ace your next front-end interview with confidence

    2023

  4. 4

    You write a standard solution, just like on LeetCode, and run it through the CLI. It identifies the problem by ID or title, executes your code against local test cases, and shows the result. It currently supports around 1000 problems and multiple languages, including Python, C++, Rust, Java, Go, TypeScript, Swift, and others. The project is still an MVP. System design, SQL, and concurrency problems are not supported yet, but support for more problem types is planned. Made in Haskell!

    25d ago · github.com

  5. 5
    Repodex118

    Automatically find and fix errors

    2023

  6. 6SA

    Gx HN, We built SharpSkill in order to add another angle for the technical interviews' process. Just a Leetcode Alternative to give other insights.

    May 2026 · sharpskill.dev

  7. 7AA

    Hey HN! I built Algochurn - A place for front-end developers to practice most commonly asked front-end interview questions. Of all the available resources out there, I wanted to have a place where I could practice coding questions myself (and to mimic a coding interview setup) and solve the problems with a time based approach. After 2 months of questions curation, I've come up with the first set of questions that are being asked in Big product based companies that assess candidates on their React skills. Use Algochurn to speed up your interview preparation. Save and Bookmark questions, Mark…

    2022 · algochurn.com

  8. 8LL

    Hey HN — we’re University of Waterloo grads, and we’re building LeetPro (https://tryleetpro.com). LeetPro is Leetcode but for soft skill-based questions and cases. In other words a platform designed to help you nail behavioral, product, and case-based interviews just like Leetcode does for technical interviews. We’re combining AI-driven mock interviews with community-driven content to create a comprehensive preparation tool for systems design, product, and business interviews. We came up with this idea just last week, and we've already launched an MVP that’s worth checking out if…

    2024

  9. 9NL

    Built this because I was tired of every AI tool shipping my data to someone else server n0x runs the full stack LLM inference via WebGPU, autonomous ReAct agents, RAG over your own docs, sandboxed Python execution via Pyodide all inside a single browser tab. No account No keys No backend Models download once, cache in IndexedDB permanently. Biggest challenge was context window budgeting for the agent loop and making the WASM vector search non-blocking. Happy to talk architecture. GitHub: https://github.com/ixchio/n0x | Live demo: https://n0x-three.vercel.app

    Mar 2026 · n0xth.vercel.app

  10. 10TG

    Gerbil is a Scheme built on Gambit that compiles to native code via C. It has an actor-oriented concurrency model, a rich module system, and a batteries- included stdlib. I built a browser playground to make it easy to try without installing anything. Briefly: - A real REPL with state that persists between expressions - 10 guided examples from basic Scheme through pattern matching, hash tables, higher-order functions, and actors (but, do go to https://cons.io for the full docs) - A scratchpad for multi-line code that evaluates into the live REPL session - Snippet sharing via short…

    Mar 2026 · trygerbil.dev

  11. 11RA

    OP here. I built RepoReaper to solve code context fragmentation in RAG. Unlike standard chat-with-repo tools, it simulates a senior engineer's workflow: it parses Python AST for logic-aware chunking, uses a ReAct loop to JIT-fetch missing file dependencies from GitHub, and employs hybrid search (BM25+Vector). It also generates Mermaid diagrams for architecture visualization. The backend is fully async and persists state via ChromaDB. Link: https://github.com/tzzp1224/RepoReaper

    Jan 2026 · github.com

  12. 12GC

    We built a Git-native CLI tool that automates Git branch stacking. Here's why stacking matters and how GX helps: Code review is a notorious bottleneck. You write a large PR, wait for review, get feedback, iterate, and wait again - especially painful across timezones. Meanwhile, you're blocked from shipping dependent changes. Stacking lets you parallelise development and code review by breaking changes into logical and dependent chunks. Current stacking tools will consider each commit its own PR, but GX will automatically group commits into separate stacks while optimising for structural…

    2025 · github.com

  13. 13AB

    Hey everyone, My friend and I built a simple bug fixing app that listens for alerts/issues from Sentry, contextualizes it against your codebase, and any other data sources you wish to connect (right now we support Notion, Google Docs, and Slack), and deploys an ai agent to write a PR for review in Github or Gitlab to solve the bug. Our current demo shows the end-to-end process for a trivial bug fix, but we have been testing it with open source python repos like http-pie, comparing how our agent solves a bug compared to a human engineer and it gets fairly close. We are working on adding…

    2023 · resolvd.ai

  14. 14OL
  15. 15LL

    After the incredible response to our launch of the first online CUDA playground, we have just shipped something we think all you GPU programming and ML enthusiasts will love. Introducing LeetGPU Challenges--the place to compete on writing the fastest CUDA kernels. We have problems like matrix multiplication, agent simulation, multi-head self-attention, with more dropping every couple of days! We have a lot of really cool things coming up, including support for PyTorch, TensorFlow, JAX, TinyGrad; Multi-GPU programs; H100, V100, A100 GPU options Give it a try and let us know what you think!

    2025 · leetgpu.com

  16. 16AA

    We've rolled out a feature for openbase.com that we think is a DX game changer for Node devs. Since the emergence of ECMA Script modules, it's been a continuous guessing game as to what kind of exports a package has. That's never really been discoverable without using a site like unpkg, or installing the package and inspecting package.json. Openbase now displays the ES Module support level (e.g. type of exports) on all of their package pages. We added this feature because our devs are some of the folks continually caught off guard by installing an NPM dependency only to find out it's…

    2022

  17. 17HW

    Hello everyone! I’m thrilled to announce the latest feature from Mutahunter.ai, the ultimate tool for finding and fixing weaknesses in your code. We’ve designed Mutahunter to leverage mutation testing powered by advanced LLMs, helping you uncover vulnerabilities and enhance your code quality effortlessly. Introducing our newest feature: Detailed Mutation Testing Reports! After running our mutation tests, Mutahunter now generates comprehensive reports that clearly summarize: • Vulnerable code gaps • Test case gaps These reports significantly reduce the cognitive load on developers by…

    2024 · github.com

  18. 18GA

    For the past few years, I've been frustrated at how we document our products. The code can tell you what you ended up doing, maybe why you ended up doing it (if your team is disciplined about comments/documents), but it can't tell you why you didn't do what you didn't do. Time and time again, I've seen teams try to change something to a better way, only to realize why it was done the "worse" way in the first place. Documenting decisions not taken is just really hard, ADRs help but doing it for everything is just too noisy and time-consuming. What's more, most of the decisions just…

    Apr 2026 · github.com

  19. 19OS

    Hey! I have been building CoderScreen, an alternative to coding interview platforms. I thought it was an interesting product to build with the evolution with all the sandbox products coming our for code execution, as well as me never being satisfied with existing platforms. The current features are: - Live interviews for pair programming exercises - Assessments for async technical screening It is built on Cloudflare primitives such as Workers, Durable Objects for the multiplayer experience, Sandbox for the code execution. Would love to get feedback on the current product, as well as hear…

    Jul 2026 · github.com

  20. 20IB

    Link: https://docs.trysoma.ai/ For the past ~9 months I’ve been building Soma, an open-source AI agent & workflow runtime written in Rust, with a TypeScript SDK (Python coming soon). It’s not a framework; it’s meant to sit underneath whatever agent/tooling code you already write (Vercel AI SDK, LangChain, custom code, etc.). It provides features around your framework + a better DX for building agents. I’ve tried to take a Next.JS model: open-source, good DX, self-deployable. I originally set out to build a vertical back-office/operations product for SMEs. I needed a…

    Dec 2025 · docs.trysoma.ai

  21. 21FS

    ## tldr You can deploy javascript apps on Cyclic after logging in with GH. Quick starts: ## Description At my last job I saw new developers struggle to get experiments and POCs from their local to live in the cloud. As we continue to expand the software development profession, more developers will need this same help. So we built cyclic.sh. Our aim is to empower even the most junior developer with robust infrastructure and deployments that just work. We can build and deploy your code in less time than it took to read this paragraph. ## What works now - Zero-config build, deploy and hosting…

    2022 · app.cyclic.sh

  22. 22DR

    I made a DSA practice tool for Ruby. It’s test-driven, runs locally, and is easy to extend with new exercises. Would love feedback on the interface and which problems to add next. The objective is to cement ability to implement core algorithms through repetition. This test suite is not like LeetCode. In fact, it’s more of a prerequisite to LeetCode. The test cases are not exhaustive in the spirit of checking for runtime performance, scalability, etc. Implementations are generalized, so that through practice using this tool, the user can begin avoiding having to think about the algorithmic…

    2025 · github.com

  23. 23PT

    Hi HN, My name is Ravi Sojitra and i'm working on a Dev Tool product named DhiWise, that let you generate production ready source code(For Node.js,Laravel,Flutter,Kotlin,Swift) in few mins with ready to get synced in your GitHub/GitLab or Download. Let me explain like you're five. Imagine you want to bake a cake and you have all the raw materials you need such as flour, baking powder, eggs. Now, you give us those materials and we will bake you the ready-to-serve cake of your choice. With this product's context, with just minimal technology specific inputs, this builder is going to…

    2021

  24. 24DP

    devnexus is an open-source cli that gives agents persistent shared memory across repos, sessions, and engineers. It maps out dependencies and relations at the function level, builds a code graph, and writes it into a shared Obsidian vault that every agent reads before writing code. Past decisions are also linked directly to the code they touched, so no one goes down the same dead end twice. Still building it out but I would love to hear any thoughts/feedback

    Apr 2026 · github.com

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