Show HN: Like HN, but for Science https://ift.tt/ZCjsSwD

Show HN: Like HN, but for Science https://ift.tt/Lp1vTod February 19, 2024 at 03:00AM

Show HN: The History Chronicle – daily historical facts in newspaper form https://ift.tt/qt8fc4u

Show HN: The History Chronicle – daily historical facts in newspaper form https://ift.tt/AW0U1oe February 19, 2024 at 01:56AM

Show HN: Caps-log (Captain's log) – A small TUI journaling tool https://ift.tt/6yWGEsp

Show HN: Caps-log (Captain's log) – A small TUI journaling tool Caps-log is a compact TUI (Text-based User Interface) journaling application crafted in C++ and leveraging the FTXUI library for its terminal interface. It allows users to save daily log entries as simple markdown files, making it an appealing tool for those who prefer working within a terminal environment. The interface is designed with a calendar feature that stands out by marking the days associated with a log entry. Furthermore, it can accentuate days based on specific 'tags' or 'sections' identified in the logs, which are either markdown list items starting with '*' or level one headers. In addition to these features, caps-log includes password protection for your entries and offers a somewhat 'hacky' (for now) method for remote storage. This is achieved by integrating with a pre-configured Git repository, enabling remote storage via a git remote. https://ift.tt/7K0Bf4h February 19, 2024 at 01:07AM

Show HN: I Built an Open Source API with Insanely Fast Whisper and Fly GPUs https://ift.tt/KS8EXQA

Show HN: I Built an Open Source API with Insanely Fast Whisper and Fly GPUs Hi HN! Since the launch of JigsawStack.com, we've been trying to dive deeper into fully managed AI APIs built and fine tuned for specific use cases. Audio/video transcription was one of the more basic things and we wanted the best open source model at this point it is OpenAI's whisper large v3 model based on the number of languages it supports and its accuracy. The thing is, the model is huge and requires tons of GPU power for it to run efficiently at scale. Even OpenAI doesn't provide an API for their best transcription model while only providing whisper v2 at a pretty high price. I tried running the whisper large v3 model on multiple cloud providers from Modal.com, Replicate, and Hugging faces dedicated interface and it takes a long time to transcribe any content about ~30mins long for 150mins of audio and this doesn't include the machine startup time for on-demand GPUs. Keeping in mind at JigsawStack we aim to return any heavy computation under 25s or 2mins for async cases and any basic computation under 2s. While exploring Replicate, I came across this project https://ift.tt/A40xZrI by Vaibhav Srivastav which optimises the hell out of this whisper large v3 model with a variety of techniques like batching and using FlashAttention 2. This reduces computation time by almost 30x, check out the amazing repo for more stats! Open source wins again!! First, we tried using Replicate's dedicated on-demand GPU service to run this model but that did not help, the cold startup/booting time alone of a GPU made the benefits of the optimised model pretty useless for our use case. Then we tried Hugging face and modal.com and we got the same results, with an A100 80GB GPU, we saw around an average of ~2mins start up time to load the machine and model image. It didn't make sense for us to have an always on GPU running due to the crazy high cost. At this point, I was inches away from giving up. The next day I got an email from Fly.io: "Congrats, Yoeven D Khemlani has GPU access!". I forgot the Fly started providing GPUs and I'm a big fan of their infra reliability and ease of deployment. We also run some of our GraphQL servers for JigsawStack on Fly's infra! I quickly picked up some Python and Docker by referring to a bunch of other Github repos and Fly's GPU tutorials, then wrote the API layer with the optimised version of Whisper 3 and deployed it on Fly's GPU machines. And wow the results were pretty amazing, the start up time of the machine on average was ~20 seconds compared to the other providers at ~2mins with all the performance benefits from the optimised whisper. I've added some more stats in the Github repo. The more interesting thing to me is the cost↓ Based on 10mins of audio: - OpenAI Whisper v2 API -> $0.06/10mins - Insanely Fast Whisper large v3 API on Fly GPU (Cold startup) -> ~$0.029/10mins - Insanely Fast Whisper large v3 API on Fly GPU (Warm startup) -> ~$0.011/10mins (Note: These are rough estimates I did by taking averages after running 5 rounds each) If you guys want to run this on any other GPU providers you can as long as they support Docker. We'll be optimising this more over the next few days specific to Fly's infrastructure allowing for global distributed instances of whisper and will soon be providing a fully managed API on JigsawStack.com. Stay tuned! https://ift.tt/fqmatjT February 18, 2024 at 01:48PM

Show HN: Programming is easier than you think https://ift.tt/iaqJCFW

Show HN: Programming is easier than you think https://ift.tt/BqjTktw February 17, 2024 at 10:23PM

Show HN: Polybar Module for Using AirPods https://ift.tt/xG3F0sR

Show HN: Polybar Module for Using AirPods https://ift.tt/EpMWac9 February 18, 2024 at 01:06AM

Show HN - tool that converts image receipts to Excel https://ift.tt/XfZ5PEU

Show HN - tool that converts image receipts to Excel Hey I'm excited to share my first project, Receipts2CSV, a web application designed to simplify bookkeeping by converting receipt images into CSV files. https://ift.tt/4irGm0x Problem Statement: Keeping track of expenses and managing receipts can be a tedious task, especially for small businesses and freelancers. Traditional methods involve manually entering data from receipts into spreadsheets, which is time-consuming and prone to errors. With Receipts2CSV, users can streamline this process by simply uploading images of their receipts and obtaining structured CSV files ready for import into accounting software. If you are lazy like I am, you could accumulate receipts in just one folder and re-run all images every time, remove duplicates and merge with older CSV to minimize looking through receipts on a monthly/annual basis. Questions for Validation: Do you find a receipt image to CSV converter useful? Would you consider using such a tool for your bookkeeping needs? Considering higher costs for AI models like GPT-4 Vision Preview, how are other indie hackers able to create and sustain offering free products like these? Do small products like these have a monetization market? If so, where do I begin? Curious to hear your candid thoughts about this web app. Should I explore it further or move to the next idea? Feel free to share your thoughts, suggestions, or any additional features you'd like to see in the product! Thank you for your valuable input and support! https://ift.tt/xWA3UwJ February 17, 2024 at 11:35PM

Show HN: Host a planet-scale geocoder for $10/mo https://ift.tt/IORLiE5

Show HN: Host a planet-scale geocoder for $10/mo For the uninitiated, a geocoder is maps-tech jargon for a search engine for addresses and points of interest. Geocoders are expensive to run. Like, really expensive. Like, $100+/month per instance expensive unless you go for a budget provider. I've been poking at this problem for about a month now and I think I've come up with something kind of cool. I'm calling it Airmail. Airmail's unique feature is that it can query against a remote index, e.g. on object storage or on a static site somewhere. This, along with low memory requirements mean it's about 10x cheaper to run an Airmail instance than anything else in this space that I'm aware of. It does great on 512MB of RAM and doesn't require any storage other than the root disk and remote index. So storage costs stay fixed as you scale horizontally. Pretty neat. Demo here: https://ift.tt/2XiAWKf Writeup: https://ift.tt/gUJOTce... Repository: https://ift.tt/XpoMWb4 https://ift.tt/TIoKXH0 February 16, 2024 at 09:51PM

Show HN: A real-time speech-language model for $10 of training https://ift.tt/6ekOitJ

Show HN: A real-time speech-language model for $10 of training https://tincans.ai/slm February 16, 2024 at 11:53PM

Show HN: Galactic Compass – an app that points to the galactic center https://ift.tt/Fc4hBZA

Show HN: Galactic Compass – an app that points to the galactic center I made a single-serving iPhone app with a floating green arrow that always points to the center of the Milky Way, 26,000 lights years away. It’s weirdly grounding. I’ve never made an app before, so here’s how it worked with ChatGPT. https://ift.tt/NgtbZBJ February 16, 2024 at 03:42AM

Show HN: BotArchive – Print Directly to Google Drive from Windows https://ift.tt/pstLoQk

Show HN: BotArchive – Print Directly to Google Drive from Windows I built BotArchive ( https://ift.tt/VPUtzjT ) to make it easy to save content to cloud storage: you connect it to your Google Drive, Microsoft OneDrive, Dropbox or Box, and then anything you send to it gets automatically saved in the attached storage location. I'd originally built it for Telegram and Slack, but I've been long interested in doing things with print: printing has long felt like one of the biggest underutilized output processes out there. Almost every piece of software has print integration, the output format is usually legible and for things like receipts I always find myself printing them out, and then copying them to Google Drive. So I built a custom IPP printer: no drivers needed on Windows, OSX or Android (haven't tried iOS yet but I assume its the same), easy configuration and prints PDFs that appear right in your cloud storage location of choice (handy replacement for the missing Google Cloud Print feature). Future work includes parsing the printed PDFs for things like conversion into a Kindle book, or extracting financial data. Feedback welcome! https://ift.tt/3KwWTDc February 16, 2024 at 01:02AM

Show HN: SlideCross – a combination of a crossword and Rubik's Cube https://ift.tt/SleiX3z

Show HN: SlideCross – a combination of a crossword and Rubik's Cube Hello! Try out a 3x3 puzzle and click the question mark in the top right for a tutorial. I'd really appreciate any feedback! Thanks https://slidecross.io February 16, 2024 at 12:11AM

Show HN: NeuralFlow – Visualize the intermediate output of Mistral 7B https://ift.tt/KvTDHqZ

Show HN: NeuralFlow – Visualize the intermediate output of Mistral 7B https://ift.tt/zUD9Ejy February 15, 2024 at 08:59AM

Show HN: Gitlab Meeting Simulator 2024 https://ift.tt/coXaGbY

Show HN: Gitlab Meeting Simulator 2024 Gitlab's meeting recordings on YouTube have tens of thousands of views by people pretending to work. Now you can appear to be in the meeting using your own webcam. https://ift.tt/NinH2x6 February 15, 2024 at 05:52AM

Show HN: Natural Language to SQL "Text-to-SQL" API https://ift.tt/ScODvgo

Show HN: Natural Language to SQL "Text-to-SQL" API Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box; they lack metadata and business definitions. Existing NL-to-SQL tools struggle with context, complexity, and adapting to your data. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the question is about Los Angeles, CA or would confirm the state with the question asker in a follow up. However, an LLM translates this to: select price from rent_prices where city=”Los Angeles” AND month=”05” AND year=”2023” Dataherald integrates with major data warehouses, including PostgreSQL, Databricks, Snowflake, BigQuery, and DuckDB. You can try it now free – no fees, no credit card, no sales pitches, just get the API key and get going. Let us know if it works for you, even your complex queries. ( https://ift.tt/BkoJmS7 ) While the open source version works just fine ( https://ift.tt/IiTjaBU ), the hosted API might be a better fit for those looking for: (1) someone else to take care of infrastructure setup, (2) access to an Admin UI console where you can configure and monitor performance, and (3) ability to invite team members to a project. We're looking for feedback, particularly from anyone who can compare this performance to other NL-to-SQL products. Share your thoughts and join the conversation For more background on the release: https://ift.tt/BnWr7El https://ift.tt/BkoJmS7 February 15, 2024 at 12:33AM

Show HN: FoldMation – An Interactive Origami Learning and Creation Application https://ift.tt/dAQXLBM

Show HN: FoldMation – An Interactive Origami Learning and Creation Application Hi, I've created an application where you can follow step by step origami fold instructions, and a Creator where you can make these interactive folds. On comparing to video instructions, you have the ability to quickly skip/rewind steps and replay a complicated step many times. On the creation side, there have been one or two attempts at this before, but those solutions rely on mouse drags as the user interface. This greatly limited the kinds of folds possible. The foldMation Creator uses commands, keywords and values to compose a domain specific language/step and provides a (relatively speaking) easy to use user interface to compose the steps. For those interested in using the Creator, please go through the tutorial at the top of the create page. Btw, the DSL for foldMation uses https://ift.tt/qaJX0VS . I created it since I couldn't find anything out there that is similar, allowing me to specify a well structured data with English-like readable syntax. Let me know what you think? https://foldmation.com February 15, 2024 at 12:38AM

Show HN: Event finding map-based platform https://ift.tt/Zs1h53l

Show HN: Event finding map-based platform Hello there, We're trying to develop a map-based event-finding platform for people to explore nearby events. On the following URL u can find our MVP: https://wiwo.world/map . The thing is, we are not sure how to find early adopters. We have lots of ideas how to develop the platform, but would like to do it with active feedback from the users. Some of the feature ideas that we have: - Build-in resell marketplace for tickets for people who cannot attend an events - Users' own event facilitation - Events live streaming and PPV - Community building (go together with friends or have no friends to go with and you search people through the platform to go with) - Our own build-in navigation system to the events - Personalized notifications/newsletter for events like the ones you have attended or added in favorites - VR/AR event attending Thanks in advance to those who will check out our platform! :) Best Regards, Kalo https://www.wiwo.world/ February 14, 2024 at 05:18AM

Show HN: Linen.team – A lightweight, thread-first Slack alternative https://ift.tt/eoq1LGC

Show HN: Linen.team – A lightweight, thread-first Slack alternative Hi HN! I'm Kam, the founder and one of the authors of Linen. Today, we are launching Linen.team ( https://linen.team/ ), a lightweight threaded messaging app for your team. Modern workplace messaging apps (like Slack) are based on IRC, which is great for small groups, but as it scales, breaks down quickly: you either get overwhelmed by notifications or you have to turn them all off. Most chat apps have threads tacked on but aren't built from the ground up with this design in mind. We wanted to create a thread-first experience where you can organize and prioritize conversations so that you are not reliant on notifications to make sure you don’t miss anything. In apps like Slack, you have to check activities, channels, threads, and replies just to make sure you aren't missing anything important. We designed every message in Linen to belong to a thread, so it makes it easy to centralize everything in a single location. We let you select which channels you subscribe to from your inbox. This way, your inbox only has the important channels. This makes it easy to keep track of conversations without having to rely on notifications to make sure you don’t miss anything. We also wanted a better way to separate urgent vs. non-urgent communication. In Linen, we have introduced the concept of a !mention that is designed for urgent/time-sensitive messages. A !mention will send a push notification, whereas an @mention will show up in the person’s inbox. This allows us to encourage more async conversations and reduce the need for the number of push notifications. We also designed the mention system closely with the inbox so that even if you aren’t subscribed to channels, mentions will still appear in your inbox. This is great for joining partner teams where you don’t need to view every conversation but do need to respond when you are mentioned. We believe that most messaging apps are secretly to-do lists in disguise; you have to read, respond, or do some task when you receive a thread. We wanted to give you the ability to manage threads individually. We let you mark each thread as done, which hides them from your inbox and is useful to keep track of tasks. You also can set reminders and mute threads with one click/key. With these features, we make it easy to get to a zero inbox state. This combined with the inbox makes it easy for you to keep track of conversations and make sure you don’t miss anything. Linen is designed for power users. We love keyboard shortcuts and want an experience that is keyboard-first. For many, the messaging app is the app that is used the most. We believe that you should be able to use Linen for an entire day without touching the mouse. We’ve added modern features like CMD+K for navigation. We’ve designed Linen to be fast and lightweight. Our gzipped bundle size is 400KB, so it's fast on first load, and we’ve introduced multiple layers of caching to make sure things are fast on subsequent loads. We’ve been working hard on this app for the past 6 months, so there are still gaps in the platform. But we’re also very excited about the direction we can take. Our focus is on what a modern message platform built in 2024 should look like and what lessons we can take from the previous decades of IRC and messaging apps. If our message resonates with you, we would love for you to give us a try at https://ift.tt/DFuixLw , where you can join our public community and come say hi! February 13, 2024 at 08:01PM

Show HN: The Namingless Programming Language https://ift.tt/Rf07i9H

Show HN: The Namingless Programming Language A programming language that avoids naming at all costs. Data structures don't have names since there is only one data structure and there is no point naming it other than 'the data structure'. There is only one operation, so also unnamed. Even the language itself doesn't have a name. "The namingless programming language" is a definition. But the most cool feature is that when you write a script, you don't have to give the file a name either. The file name itself becomes the code. The file body is the executable interpreter. Is it beautiful? No. Is it practical? Hell no. Is it fun? More than you'd think it would be. https://ift.tt/wCPJBzZ February 14, 2024 at 01:38AM

Show HN: Swift Mail, a native macOS app for JMAP mail https://ift.tt/pQ27ndR

Show HN: Swift Mail, a native macOS app for JMAP mail Hello HN! I'm excited to share Swift Mail, a native macOS email client purpose-built for the JMAP mail standard. Primarily constructed with SwiftUI with occasional AppKit elements, Swift Mail combines the speed and efficiency of a modern mail standard with desktop-centric features such as system notifications, keyboard shortcuts, quick look, multiple windows, state restoration, dark mode, and more. Swift Mail distinguishes itself from other email clients with its steadfast commitment to the JMAP standard over the traditional IMAP implementation, facilitating seamless alignment with modern mail features. It supports various innovative Fastmail features, such as multiple sending identities, the ability to send or reply on-the-fly from wildcard (*) aliases, and the ability to swiftly transition between (true) label and folder organization schemes. Swift Mail prioritizes user privacy and does not collect any user data or function through intermediary servers. Instead, it directly connects to the JMAP server with the user's provided account credentials, processing and storing all data locally on the user's device. Currently, Swift Mail is available directly via the Mac App Store with support extending back to Monterey. I’m also running a developer build on visionOS (if you have hardware and are interested in testing a beta release, please reach out to beta at swiftmail dot io). A sincere thank you to everyone who has contributed their valuable insights or participated in beta testing via TestFlight thus far. Looking forward to your feedback! - Karl https://swiftmail.io February 13, 2024 at 07:34AM