As you solve LeetCode questions, you can mark them as hard, medium, or easy. The tool will then recommend questions you should review based on (1) how hard the question was for you and (2) how much time has passed since you last reviewed it. I'd recommend normally attempting LeetCode problems and just marking them as hard, medium, or easy for you at first so the tool knows which problems to recommend you review!

Here's the theory behind spaced repetition and learning if interested: https://www.codecademy.com/article/spaced-repetition

Hi HN! I've been working on a new way to build electronics/PCBs with Typescript/React, I'd love to know what you think!!

I've wanted to program circuits for a long time- I started experimenting with the concept of creating circuits in React almost 8 years ago and have spent many weekends since to prove the concept. Over the past 2 months, I've decided to start working on tscircuit full-time.

I am proud to present my solo hobby project NAND. This year-long undertaking follows the completed Nand to Tetris course, but ported to the web with its own runtime, user interface, and IDE. Using the "Load example program" selector, you can try out some programs I wrote on NAND's emulated hardware such as 2048, a genetic algorithm, and a manual stack overflow to corrupt the screen.

Check out NAND at https://nand.arhan.sh

Additionally, I've authored an extensive writeup about the project. Read about it on the GitHub repository's readme.

Hello HN,

Based on community feedback, we listened and simplified the setup for 3LC. Now all you need to do is pip install 3lc, no account creation needed.

What is 3LC? 3LC is an ML tool that gives detailed insights, real-time data-centric iterative workflows for training/finetuning, and data quality improvements for your Machine Learning datasets and models. 3LC serves as a visualizer, editor, and debugger, focusing on how models learn from the training data. It integrates with your existing training scripts and runs locally.

Beta Now Live! And it's free.

https://pypi.org/project/3lc/

docs here:

https://docs.3lc.ai/3lc/latest/index.html

overview + tutorial videos here:

https://www.youtube.com/@3LCai

Hi HN,

As a researcher, I often found myself struggling with the limitations of keyword-based search when exploring PubMed papers. To address this, I created PubMed Search (https://www.pubmedisearch.com/), a tool that leverages a vector database to enable semantic search across medical research literature.

Some key features:

* Daily updates to ensure access to the latest articles

* Semantic search using latest & greatest embedding models

* Some additional useful info about the papers (tldr, journal, publication date, etc.)

Hope you find it useful!

I am excited to introduce my solo project, a platform built with the frontend development community in mind. It's an interactive environment aimed at refining debugging skills through exposure to real-world bugs. This project stems from the need for a hands-on, practical method of learning to debug. The site features a variety of intentional bugs for users to solve, mirroring the types of challenges faced in professional settings.

Over the coming weeks, I will be adding many more exercises and new features to enhance your learning experience further.

Check out CodeMender at https://www.codemender.io

I've been blown away by speech-to-speech LLMs lately and was looking for a fun little website to build. Enter mock YC interviews.

When I first applied to YC, I used iPG (https://jamescun.github.io/iPG/) to practice and get comfortable with the YC-style interview. Spoiler: I ended up getting in.

This took me a few hours to go from scratch to production. Would highly suggest playing around with some of the latest products (this uses Vapi.ai/elevenlabs.io)

gm gm,

We’re excited to show our project, Hive Network, a new frontier for decentralized AI agents that operate both on-chain and off-chain. Our mission is to make AI more powerful and transparent, and we’re inviting you to join us in this revolution.

What is Hive Network AI? -- Hive Network AI is a platform where developers can create, deploy, and manage AI agents that function autonomously across blockchain and traditional networks. Our system addresses significant issues in the AI space, such as the lack of transparency, difficulty in monetizing models, and insufficient research funding.

Features of Hive Network AI -- 1] Decentralized Agents: Build agents that operate independently, with the capability to execute tasks on blockchain networks. 2] Model and Dataset Monetization: Through our Model Hub, AI engineers can monetize their models, opening up new revenue streams. 3] Research and Development Support: Our Research Hub supports AI researchers by providing them with the necessary funding and resources to advance their work. 4] Complex Workflows with Swarms: Aggregate multiple agents into a Swarm to tackle complex tasks and workflows.

Why It Matters -- In an era where AI development is often opaque and centralized, Hive Network AI introduces a platform for greater transparency and collaboration. By decentralizing the development and deployment of AI agents, we empower creators and developers to own and profit from their innovations.

Get Involved -- We’re currently welcoming early users to join our waitlist. Visit our website at Hive Network AI to learn more and sign up.

We believe that the future of AI should be open and accessible, and with Hive Network AI, we are making that future a reality. We’d love to hear your thoughts, feedback, or potential use cases you envision with our platform.

Thanks for checking out Hive Network AI. I’ll be around to answer any questions you have!

-- Relevant Links -- 1] Demo of some agents: https://www.loom.com/share/01e670f340924a5d87958e2bd9ee308b?...

2] GitHub: https://github.com/hivenetwork-ai/

3] Alpha Launch: https://tuvanalabs.com/blog-detail/ethdenver-2024-recap

Hey HN! I've been spending the last 2 weeks to create an AI to help students, one tap picture -> steps + answers to solve it.

Let me know if it seems interesting and works on your questions! Would also love any other feedback

Hey HN! I'm excited to share Statusnook - a status page and monitoring tool.

I built Statusnook for my own projects, but I soon began incorporating bits of feedback from friends & colleagues.

My goal was to create a tool with a solid essential feature set, and to make it easy to self-host.

I welcome any feedback or suggestions.

Hello, my friend was offered a referral bonus at his company. Essentially, they had an open position, and if he referred someone and that person got hired, my friend would receive a $500 bonus. But he did not know anyone to refer.

Many of us know it is hard to get hired right now, and asking for a referral from a current employee can help.

Thus, I built this little job board. The front end is Vue inside Astro, then just supabase in the backend. Vue Islands wrapped in Astro is a really fast way to build for several reasons, but I'll save that for another post.

The site does not even have a search bar yet because I figured it is unneccessary until we have enough posts that scrolling the page is difficult, so why build it before that? I might limit it to only Software Engineers alone so that we never really need to add a search bar, just a filter for preferred/best language and tech stack.

It is fundamentally a network and thus only valuable in proportion to the number of users.

Do you think this is useful to you? Who might it be useful to? Let me know what you think.

Hi all,

We launched Reaper at the end of last year (https://www.emergetools.com/blog/posts/dead-code-detection-w...) with the goal of helping teams discover dead code in their mobile apps.

Unlike typical static analysis that only finds technically unreachable code, Reaper is an SDK that monitors production data to discover code that's unused by real users (ex. stale feature flags).

ReaperAI takes this a step further by actually being able to open pull requests in your repo to automatically delete the dead code that it finds.

Here is a demo video: https://www.youtube.com/watch?v=y2FEaAmUvNw

We're here to answer your questions & would love to hear any ideas or feedback you have!

Utilizing Llama3, I developed an ADHD assessment tool that synthesizes findings from the Adult ADHD Self-Report Scale along with 23 other tests to create comprehensive diagnostic reports.

I spent the past three years developing an exercise game for indoor smart trainers called Startona. The game is built from scratch in TypeScript and only uses a couple of small libraries. The result is a PWA that showcases the capabilities of a modern web browser through technologies like Web-Bluetooth and WebGL.

Developed to turn turbo-trainer workouts into intense gaming sessions, Startona combines structured workouts with exercise games that boost specific aspects of the player's fitness, such as speed, power, and endurance. Although Startona is built for fun by providing new and unique indoor cycling experiences, the game also contains all the features you would expect from a modern indoor cycling app: single-player workouts, multiplayer challenges, personalized structured workouts, detailed activity logs, built-in Strava support, regular content updates, and various fitness tracking systems to help players stay motivated.

All that is needed to try Startona is a smart trainer and a web browser with Bluetooth support (Chrome, Edge, Arc...). Sorry, no iOS support yet.

Hey Everyone! I’ve recently been working on an open-source proxy server to help front end applications securely access third party APIs that require confidential API keys without the need to create your own backend.

I would love to get some feedback and hear what you think!

Imagine a reversed recruiting process where recruiters can pick a candidate like selecting a product from an e-shop!