Tuesday, 31 August 2021
Show HN: I created a digital product, here is how I did it https://bit.ly/3t4ix1f
Show HN: Dynamic Resume Generator https://bit.ly/2Y3msjp
Show HN: One-pass lambda-to-C compiler https://bit.ly/3Bt4eWX
Show HN: A Commodore Vic-20 Emulator on the Raspberry Pi Pico https://bit.ly/3DvlDAp
Show HN: You've all heard of stock photos, but what about stock text? https://bit.ly/3kHX7Df
Show HN: Market analysis framework for rental property investors https://bit.ly/2V14kWg
Show HN: CLI for authentication into AWS right from your terminal (supports MFA) https://bit.ly/38IkMhD
Show HN: I made an app to draw stickers for iMessage, Discord, and Slack https://bit.ly/3BrPBDl
Show HN: BokehCamera: Blur webcam background photorealistically using RealSense https://bit.ly/3gQgkBD
Show HN: Whole-fleet continuous profiler for C/C++/Rust/Go/JVM/Python/Ruby/PHP https://bit.ly/3jwM9RW
Show HN: I made a Gravatar-like service for favicons https://bit.ly/2WyaQEX
Show HN: Jax Transformer implementation from scratch with notes https://bit.ly/3juCmLT
Show HN: HACK - Android iOS macOS client for Hacker News with reply notification https://bit.ly/3zAyjTW
Show HN: Follow GitHub repos the way you like https://bit.ly/2WD5KqI
Monday, 30 August 2021
Show HN: Skybison, an optimized greenfield Python runtime https://bit.ly/2V64nAk
Show HN: Open-Source Cloud Security Alert Contextualization https://bit.ly/38pBsKr
Show HN: Blur Webcam Background on Linux https://bit.ly/3ypqsr2
Show HN: Excel for Writers https://bit.ly/3zz4wuQ
Show HN: NLP Flashcards for Most of the Internet https://bit.ly/3mLSb39
tags on the client, and segmenting these into preprocessed chunks (2) Performing inference on question-generation with a T5-base model pretrained on SQuAD (3) Extractive question-answering with the chunk & question we've generated with RoBERTa, also pretrained on SQuAD. No GPT-3 here— where's the fun in an API call when you can do it yourself. Ferret is built as a React.JS app deployed as a chrome extension, with models hosted on AWS Sagemaker. Finally, why could this be helpful? Human memory is lossy. Psychologists have shown for forever that your memory can be modeled with a forgetting curve. If you don't attempt to retain knowledge, you'll likely lose it. But most of the content we read online (technical blog posts, documentation, course notes, articles) gets ingested and quickly forgotten. We're interested in low-friction approaches to helping people better remember this content , starting with fellow engineers who depend on their ability to remember key concepts to do the best job. We've open-sourced the full repo and are actively responding to PRs + issues. [3]. You can read more about the technical + product challenges we faced if that interests you as well. [4] We appreciate all feedback and suggestions! [1]https://bit.ly/3gLMka0 [2] https://bit.ly/3ypgmXa [3] https://bit.ly/3gIKmYc [4] https://bit.ly/3yp5tok August 30, 2021 at 09:00PM