FTX Future Fund
67 by tmychow | 35 comments on Hacker News.
Monday, February 28, 2022
Sunday, February 27, 2022
New top story on Hacker News: Why aren't you charging money for your side project?
Why aren't you charging money for your side project?
19 by curious-mind | 27 comments on Hacker News.
I see many side projects that don't charge their users and was wondering why that is.
19 by curious-mind | 27 comments on Hacker News.
I see many side projects that don't charge their users and was wondering why that is.
Saturday, February 26, 2022
New top story on Hacker News: Show HN: Esolang Park, a visual debugger for esolangs
Show HN: Esolang Park, a visual debugger for esolangs
13 by nilaymaj | 2 comments on Hacker News.
Hey HN! Esolang Park is an online visual debugger interface for esoteric programming languages, that I've been working on for the past few months. For every supported language, Esolang Park provides the powerful Monaco code editor, syntax checking, debugging functionality and a visualisation of the runtime state. The core is language-agnostic - a "language provider" only needs to implement the esolang's parser, interpreter and visualisation UI (and some other little stuff). Apart from trying to boost DX for esolangs, the idea is for this to grow into a platform where people can discover and play around with a variety of esolangs without leaving the browser. That's quite far away though - the project is quite early in development and currently only has 5 languages (Befunge-93, Brainf*ck, Chef, Deadfish and Shakespeare). Some features like non-debugging execution mode (0ms interval) are missing too. Currently the entire source code[0] (core + language providers) is written in TypeScript and React. Esolang code execution happens in a web worker. I'm planning to add support for WASM-based language providers for better performance, particularly for non-debugging execution. There's also a wiki[1] containing a description of the core design and a guide for implementing and contributing new language providers. Looking to hear some feedback on the idea and current implementation - bug reports are welcome too! [0] https://ift.tt/RKPLgbA [1] https://ift.tt/Q0kvIuW
13 by nilaymaj | 2 comments on Hacker News.
Hey HN! Esolang Park is an online visual debugger interface for esoteric programming languages, that I've been working on for the past few months. For every supported language, Esolang Park provides the powerful Monaco code editor, syntax checking, debugging functionality and a visualisation of the runtime state. The core is language-agnostic - a "language provider" only needs to implement the esolang's parser, interpreter and visualisation UI (and some other little stuff). Apart from trying to boost DX for esolangs, the idea is for this to grow into a platform where people can discover and play around with a variety of esolangs without leaving the browser. That's quite far away though - the project is quite early in development and currently only has 5 languages (Befunge-93, Brainf*ck, Chef, Deadfish and Shakespeare). Some features like non-debugging execution mode (0ms interval) are missing too. Currently the entire source code[0] (core + language providers) is written in TypeScript and React. Esolang code execution happens in a web worker. I'm planning to add support for WASM-based language providers for better performance, particularly for non-debugging execution. There's also a wiki[1] containing a description of the core design and a guide for implementing and contributing new language providers. Looking to hear some feedback on the idea and current implementation - bug reports are welcome too! [0] https://ift.tt/RKPLgbA [1] https://ift.tt/Q0kvIuW
Friday, February 25, 2022
New top story on Hacker News: Is Grammarly a keylogger? What can you do about it?
Is Grammarly a keylogger? What can you do about it?
195 by terracatta | 123 comments on Hacker News.
195 by terracatta | 123 comments on Hacker News.
New top story on Hacker News: Show HN: Cloning a musical instrument from 16 seconds of audio
Show HN: Cloning a musical instrument from 16 seconds of audio
21 by abdljasser2 | 2 comments on Hacker News.
In 2020, Magenta released DDSP [1], a machine learning algorithm / python library which made it possible to generate good sounding instrument synthesizers from about 6-10 minutes of data. While working with DDSP for a project, we realised how it was actually quite hard to find 6-10 minute of clean recordings of monophonic instruments. In this project, we have combined the DDSP architecture with a domain adaptation technique from speech synthesis [2]. This domain adaptation technique works by pre-training our model on many different recordings from the Solos dataset [3] first and then fine-tuning parts of the model to the new recording. This allows us to produce decent sounding instrument synthesisers from as little as 16 seconds of target audio instead of 6-10 minutes. [1] https://ift.tt/cdPY8O9 [2] https://ift.tt/xUdJoz8 [3] https://ift.tt/aFO0Pvo We hope to publish a paper on the topic soon.
21 by abdljasser2 | 2 comments on Hacker News.
In 2020, Magenta released DDSP [1], a machine learning algorithm / python library which made it possible to generate good sounding instrument synthesizers from about 6-10 minutes of data. While working with DDSP for a project, we realised how it was actually quite hard to find 6-10 minute of clean recordings of monophonic instruments. In this project, we have combined the DDSP architecture with a domain adaptation technique from speech synthesis [2]. This domain adaptation technique works by pre-training our model on many different recordings from the Solos dataset [3] first and then fine-tuning parts of the model to the new recording. This allows us to produce decent sounding instrument synthesisers from as little as 16 seconds of target audio instead of 6-10 minutes. [1] https://ift.tt/cdPY8O9 [2] https://ift.tt/xUdJoz8 [3] https://ift.tt/aFO0Pvo We hope to publish a paper on the topic soon.
Thursday, February 24, 2022
Wednesday, February 23, 2022
Tuesday, February 22, 2022
Monday, February 21, 2022
New top story on Hacker News: Dutch antitrust authority fines Apple for fifth time
Dutch antitrust authority fines Apple for fifth time
12 by keleftheriou | 1 comments on Hacker News.
12 by keleftheriou | 1 comments on Hacker News.
Sunday, February 20, 2022
Saturday, February 19, 2022
New top story on Hacker News: Show HN: Arduino 6502 Controller
Show HN: Arduino 6502 Controller
21 by billziss | 1 comments on Hacker News.
The 6502ctl project is an Arduino controller for the 6502 CPU. The controller controls all 6502 pins, including the clock signal and interrupts, and simulates an address and data bus with attached memory and an output peripheral. The controller includes a clock-cycle debugger with disassembler. An assembler is also included with the project.
21 by billziss | 1 comments on Hacker News.
The 6502ctl project is an Arduino controller for the 6502 CPU. The controller controls all 6502 pins, including the clock signal and interrupts, and simulates an address and data bus with attached memory and an output peripheral. The controller includes a clock-cycle debugger with disassembler. An assembler is also included with the project.
New top story on Hacker News: Ask HN: What books are recommended to learn re semiconductors industry?
Ask HN: What books are recommended to learn re semiconductors industry?
11 by allie1 | 0 comments on Hacker News.
I want to understand the ins and outs of the semiconductor industry. What resources would you recommend for beginner, intermediary and technical person?
11 by allie1 | 0 comments on Hacker News.
I want to understand the ins and outs of the semiconductor industry. What resources would you recommend for beginner, intermediary and technical person?
Friday, February 18, 2022
Thursday, February 17, 2022
Wednesday, February 16, 2022
New top story on Hacker News: Ask HN: Has Amazon been hounding you?
Ask HN: Has Amazon been hounding you?
13 by matthewfcarlson | 10 comments on Hacker News.
I was talking to a friend about how Amazon recruiters have sent me an email almost every weekday since Decemberish (sometimes two or three) and they mentioned that they had experienced something similar. It is different recruiters, so it's not just one particularly persistent individual. Is anyone else seeing similar? Is Amazon desperate?
13 by matthewfcarlson | 10 comments on Hacker News.
I was talking to a friend about how Amazon recruiters have sent me an email almost every weekday since Decemberish (sometimes two or three) and they mentioned that they had experienced something similar. It is different recruiters, so it's not just one particularly persistent individual. Is anyone else seeing similar? Is Amazon desperate?
Tuesday, February 15, 2022
Monday, February 14, 2022
New top story on Hacker News: Ask HN: Why is Firefox losing marketshare and how would you save it?
Ask HN: Why is Firefox losing marketshare and how would you save it?
244 by feross | 438 comments on Hacker News.
What would you do if you were in charge of Mozilla? How would you save Firefox?
244 by feross | 438 comments on Hacker News.
What would you do if you were in charge of Mozilla? How would you save Firefox?
Sunday, February 13, 2022
New top story on Hacker News: Ask HN: Tools to visualize data in SQL databases?
Ask HN: Tools to visualize data in SQL databases?
78 by dyml | 65 comments on Hacker News.
I’d like to hear what tools you use to easily visualize the data in a sql table? Preferably I’d just like to click on a MariaDB table and receive some plots and statistics on the columns. Whats your experience on this? Edit: to clarify, I don’t want to visualize the database itself (Schema’s, keys etc). Just the data within it.
78 by dyml | 65 comments on Hacker News.
I’d like to hear what tools you use to easily visualize the data in a sql table? Preferably I’d just like to click on a MariaDB table and receive some plots and statistics on the columns. Whats your experience on this? Edit: to clarify, I don’t want to visualize the database itself (Schema’s, keys etc). Just the data within it.
Saturday, February 12, 2022
Friday, February 11, 2022
Thursday, February 10, 2022
Wednesday, February 9, 2022
Tuesday, February 8, 2022
Monday, February 7, 2022
Sunday, February 6, 2022
Saturday, February 5, 2022
New top story on Hacker News: Ask HN: Best hosted alternative to Google Workspace for email?
Ask HN: Best hosted alternative to Google Workspace for email?
44 by CharlesW | 40 comments on Hacker News.
So with Google starting to charge previously-free users, I've decided that I'd rather give my money to someone else. I'd like a provider who is likely to be around in a decade or two. Tips on moving many years of Google email to a new provider are appreciated as well!
44 by CharlesW | 40 comments on Hacker News.
So with Google starting to charge previously-free users, I've decided that I'd rather give my money to someone else. I'd like a provider who is likely to be around in a decade or two. Tips on moving many years of Google email to a new provider are appreciated as well!
Friday, February 4, 2022
New top story on Hacker News: Ask HN: Is there any tool for benchmarking responsiveness for Linux?
Ask HN: Is there any tool for benchmarking responsiveness for Linux?
21 by c0deR3D | 11 comments on Hacker News.
System76 recently announced their responsiveness optimizer, System76 Scheduler [0], which basically works as a daemon, adjusting the nice value and the CFS knobs for processes in the box for increased responsiveness. They've claimed that the responsiveness is therefore increased, which I'm also believed so. However, this got me wondering, is there exists any tool that can report the "numbers" (e.g., scheduling latency) regarding to the responsivenss? Maybe Google has such tool for testing regression for Android or Chrome OS, sadly, I didn't managed to find one. Thanks! [0] https://ift.tt/hPaDI3s
21 by c0deR3D | 11 comments on Hacker News.
System76 recently announced their responsiveness optimizer, System76 Scheduler [0], which basically works as a daemon, adjusting the nice value and the CFS knobs for processes in the box for increased responsiveness. They've claimed that the responsiveness is therefore increased, which I'm also believed so. However, this got me wondering, is there exists any tool that can report the "numbers" (e.g., scheduling latency) regarding to the responsivenss? Maybe Google has such tool for testing regression for Android or Chrome OS, sadly, I didn't managed to find one. Thanks! [0] https://ift.tt/hPaDI3s
Thursday, February 3, 2022
New top story on Hacker News: Show HN: I built a service to help companies reduce AWS spend by 50%
Show HN: I built a service to help companies reduce AWS spend by 50%
83 by kavehkhorram | 43 comments on Hacker News.
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically, typically we do this live on a call. On average, we reduce AWS EC2 spend by 50% for 5 minutes of work. To reduce by 50%+, we don't touch the instances, require any code change, or change the performance of your instances. We buy Reserved Instances on your behalf (a billing layer change only) and bundle them with guaranteed buyback. So you get the steep 57% savings of 3-year no-upfront RIs with none of the commitment (you can sell them back to us anytime after 30 days). We make money off of a 20% Savings Fee. Happy to chat directly kaveh@usage.ai Have you experienced any issues with managing your company or organization's AWS expenses? We'd love to hear your feedback and ideas!
83 by kavehkhorram | 43 comments on Hacker News.
Hey HN: Kaveh here, the founder of https://www.usage.ai/ We help companies drive down AWS EC2 spend. Why? Because the way it's done now is a pain. DevOps and Software Engineers end up spending time managing costs rather than focusing on business problems. Previous to founding Usage, I worked on high-performance computing research at JP Morgan Chase and as a software engineer at a number of smaller startups. Here's how it works: We are typically brought in by a DevOps manager to cut AWS EC2 costs. The app is entirely self-service and the savings are generated automatically, typically we do this live on a call. On average, we reduce AWS EC2 spend by 50% for 5 minutes of work. To reduce by 50%+, we don't touch the instances, require any code change, or change the performance of your instances. We buy Reserved Instances on your behalf (a billing layer change only) and bundle them with guaranteed buyback. So you get the steep 57% savings of 3-year no-upfront RIs with none of the commitment (you can sell them back to us anytime after 30 days). We make money off of a 20% Savings Fee. Happy to chat directly kaveh@usage.ai Have you experienced any issues with managing your company or organization's AWS expenses? We'd love to hear your feedback and ideas!
Wednesday, February 2, 2022
New top story on Hacker News: Tell HN: GitHub is down (Update: Back online now)
Tell HN: GitHub is down (Update: Back online now)
181 by slightknack | 60 comments on Hacker News.
Getting 500 errors, multiple friends confirming: https://github.com
181 by slightknack | 60 comments on Hacker News.
Getting 500 errors, multiple friends confirming: https://github.com
New top story on Hacker News: Launch HN: Sieve (YC W22) – Pluggable APIs for Video Search
Launch HN: Sieve (YC W22) – Pluggable APIs for Video Search
18 by mvoodarla | 0 comments on Hacker News.
Hi HN, we’re Mokshith and Abhi from Sieve ( https://sievedata.com ). We’re building an API that lets you add video search to internal tools or customer applications, instantly. Sieve can process 24 hours of video in less than 10 minutes, and makes it easy to search video by detected objects / characteristics, motion data, and visual similarity. You can use our models out of the box, or plug-in your own model endpoints into our infrastructure. ('Model' here means any software that produces output given an image.) Every industry from security, to media, supply chain, construction, retail, sports, and agriculture is being transformed by video analytics—but setting up the infrastructure to process video data quickly is difficult. Having to deal with video ingestion pipelines, computer-vision model training, and search functionality is not pretty. We’re building a platform that takes care of all of this so teams can focus on their domain-expertise, building industry-specific software. We met in high school, and were on the robotics team together. It was our first exposure to computer vision, and something we both deeply enjoyed. We ended up going to UC Berkeley together and worked on computer vision at places like Scale AI, Niantic, Ford, NVIDIA, Microsoft, and Second Spectrum. We were initially trying to solve problems for ourselves as computer vision developers but quickly realized the unique problems in video having to do with cost, efficiency, and scale. We also realized how important video would be in lots of verticals, and saw an opportunity to build infrastructure which wouldn’t have to be rebuilt by a fullstack dev at any company again. Let’s take the example of cloud software for construction which might include tons of features from asset trackers to rental management and compliance checks. It doesn’t make sense for a construction company to build their own video processing for telematics—the density and scale of video make this a difficult task. A single 30 FPS camera generates over 2.5M frames within a day of recording. Imagine this across thousands of cameras and many weeks of footage—not to mention the actual vertical-specific software they’re building for end users. Sieve takes care of everything hard about processing and searching video. Our API allows you to process and search video with just two API calls. We use filtering, parallelization, and interpolation techniques to keep costs low, while being able to process 24 hours of video in under 10 minutes. Users can choose from our pre-existing set of models, or use their own models with our video processing engine. Our pricing can range anywhere from $0.08-$0.45 per minute of video processed based on the models clients are interested in and usage volume. Our FAQ page ( https://ift.tt/KIxVDR9vO ) explains these factors in more detail. Our backend is built on serverless functions. We split each video into individual chunks which are processed in parallel and passed through multiple layers of filters to determine which chunks are “important”. We’re able to algorithmically ignore parts of video which are static, or change minimally, and focus on the parts that contain real action. We then run more expensive models on the most “important” parts of video, and interpolate results across frames to return information to customers at 30 FPS granularity. Our customers simply push signed video URLs to our platform, and this happens automatically. You can then use our API to query for intervals of interest. We haven’t built an automated sign up flow yet because we're focused on building out the core product for now. But we wanted to give all of you the chance to try Sieve on your own videos for free, so we've set up a special process for HN users. Try it out here: https://ift.tt/ZmRvPa6cK... . We'll email you a personal, limited-access API key. Here's a video demo of using our dashboard to do video search: https://www.youtube.com/watch?v=_uyjp_HGZl4 We’d love to hear what you think about the product and vision, and ideas on how we can improve it. Thanks for taking the time to read this, we’re grateful to be posting here :)
18 by mvoodarla | 0 comments on Hacker News.
Hi HN, we’re Mokshith and Abhi from Sieve ( https://sievedata.com ). We’re building an API that lets you add video search to internal tools or customer applications, instantly. Sieve can process 24 hours of video in less than 10 minutes, and makes it easy to search video by detected objects / characteristics, motion data, and visual similarity. You can use our models out of the box, or plug-in your own model endpoints into our infrastructure. ('Model' here means any software that produces output given an image.) Every industry from security, to media, supply chain, construction, retail, sports, and agriculture is being transformed by video analytics—but setting up the infrastructure to process video data quickly is difficult. Having to deal with video ingestion pipelines, computer-vision model training, and search functionality is not pretty. We’re building a platform that takes care of all of this so teams can focus on their domain-expertise, building industry-specific software. We met in high school, and were on the robotics team together. It was our first exposure to computer vision, and something we both deeply enjoyed. We ended up going to UC Berkeley together and worked on computer vision at places like Scale AI, Niantic, Ford, NVIDIA, Microsoft, and Second Spectrum. We were initially trying to solve problems for ourselves as computer vision developers but quickly realized the unique problems in video having to do with cost, efficiency, and scale. We also realized how important video would be in lots of verticals, and saw an opportunity to build infrastructure which wouldn’t have to be rebuilt by a fullstack dev at any company again. Let’s take the example of cloud software for construction which might include tons of features from asset trackers to rental management and compliance checks. It doesn’t make sense for a construction company to build their own video processing for telematics—the density and scale of video make this a difficult task. A single 30 FPS camera generates over 2.5M frames within a day of recording. Imagine this across thousands of cameras and many weeks of footage—not to mention the actual vertical-specific software they’re building for end users. Sieve takes care of everything hard about processing and searching video. Our API allows you to process and search video with just two API calls. We use filtering, parallelization, and interpolation techniques to keep costs low, while being able to process 24 hours of video in under 10 minutes. Users can choose from our pre-existing set of models, or use their own models with our video processing engine. Our pricing can range anywhere from $0.08-$0.45 per minute of video processed based on the models clients are interested in and usage volume. Our FAQ page ( https://ift.tt/KIxVDR9vO ) explains these factors in more detail. Our backend is built on serverless functions. We split each video into individual chunks which are processed in parallel and passed through multiple layers of filters to determine which chunks are “important”. We’re able to algorithmically ignore parts of video which are static, or change minimally, and focus on the parts that contain real action. We then run more expensive models on the most “important” parts of video, and interpolate results across frames to return information to customers at 30 FPS granularity. Our customers simply push signed video URLs to our platform, and this happens automatically. You can then use our API to query for intervals of interest. We haven’t built an automated sign up flow yet because we're focused on building out the core product for now. But we wanted to give all of you the chance to try Sieve on your own videos for free, so we've set up a special process for HN users. Try it out here: https://ift.tt/ZmRvPa6cK... . We'll email you a personal, limited-access API key. Here's a video demo of using our dashboard to do video search: https://www.youtube.com/watch?v=_uyjp_HGZl4 We’d love to hear what you think about the product and vision, and ideas on how we can improve it. Thanks for taking the time to read this, we’re grateful to be posting here :)
New top story on Hacker News: Exploring SIMD performance improvements in WebAssembly
Exploring SIMD performance improvements in WebAssembly
9 by hackthesystem | 0 comments on Hacker News.
9 by hackthesystem | 0 comments on Hacker News.
Tuesday, February 1, 2022
New top story on Hacker News: Show HN: Atlas – A deployment pipeline platform built on Argo CD
Show HN: Atlas – A deployment pipeline platform built on Argo CD
17 by mihirpandya | 0 comments on Hacker News.
Atlas is an open-source deployment pipeline platform built for cloud-native applications. Atlas allows users to: - Create continuous pipelines across all their environments and clusters - Add custom tasks/tests plugins (Python scripts, K8S manifests, Argo Workflows, environment setup, etc.) - Automatically rollback applications in case of failure or degradation (Atlas watches the application past the scope of a pipeline run to ensure and enforce stability) - Use all existing Argo features Would love to hear all of your feedback and thoughts on this!
17 by mihirpandya | 0 comments on Hacker News.
Atlas is an open-source deployment pipeline platform built for cloud-native applications. Atlas allows users to: - Create continuous pipelines across all their environments and clusters - Add custom tasks/tests plugins (Python scripts, K8S manifests, Argo Workflows, environment setup, etc.) - Automatically rollback applications in case of failure or degradation (Atlas watches the application past the scope of a pipeline run to ensure and enforce stability) - Use all existing Argo features Would love to hear all of your feedback and thoughts on this!
New top story on Hacker News: Ask HN: Who wants to be hired? (February 2022)
Ask HN: Who wants to be hired? (February 2022)
50 by whoishiring | 86 comments on Hacker News.
Share your information if you are looking for work. Please use this format: Location: Remote: Willing to relocate: Technologies: Résumé/CV: Email: Readers: please only email these addresses to discuss work opportunities. Searchers: try https://ift.tt/ycdjkFYON or https://ift.tt/HbAK3Pkc9 .
50 by whoishiring | 86 comments on Hacker News.
Share your information if you are looking for work. Please use this format: Location: Remote: Willing to relocate: Technologies: Résumé/CV: Email: Readers: please only email these addresses to discuss work opportunities. Searchers: try https://ift.tt/ycdjkFYON or https://ift.tt/HbAK3Pkc9 .
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