Sunday, December 31, 2023
Show HN: One Button Calculator (Morse code Python REPL) https://ift.tt/o615v4I
Show HN: One Button Calculator (Morse code Python REPL) https://punkx.org/calc/ December 31, 2023 at 11:13PM
Saturday, December 30, 2023
Show HN: Fill and Sign PDF from any website with a single line of code https://ift.tt/LHmBD4r
Show HN: Fill and Sign PDF from any website with a single line of code https://ift.tt/7C0ZnKA December 30, 2023 at 08:03PM
Friday, December 29, 2023
Show HN: Alarmclocktab.com – phone's dead and I need an alarm, stopwatch, timer https://ift.tt/zOakm37
Show HN: Alarmclocktab.com – phone's dead and I need an alarm, stopwatch, timer Web based time tools including alarms, timers, stopwatch, and time zone converter. Resources also include Tabata, Pomodoro and other useful timers, tips and tactics for managing time and time tracking. Dark mode included! https://ift.tt/4V69f0M December 29, 2023 at 09:33PM
Thursday, December 28, 2023
Show HN: workin – A web app to create and run smart trainer workouts https://ift.tt/DyfScQn
Show HN: workin – A web app to create and run smart trainer workouts I used TrainerRoad for my indoor bike workouts during Winter. Its subscription costs $20 per month, which seemed unreasonable for the one thing I was using: the workouts. So I decided to create an free and open-source alternative. I've been using it for almost a month now and it feels great to have built something useful for once :) https://ift.tt/Y1XFp5l December 28, 2023 at 10:56PM
Wednesday, December 27, 2023
Show HN: Scan QR codes to check-in guests registered via Google Forms™ https://ift.tt/9IOlwfm
Show HN: Scan QR codes to check-in guests registered via Google Forms™ Hi HN! I made a no-code platform for creating physical data collection apps, using QR codes [1]. It does not yet have a self-service config UI though, which limits adoption. That's why I recently released a Google Forms™ add-on for QR code check-in, based on the platform. This focused use-case makes it easy to provide a fully self-service config UI. How it works: 1. Create your Google Form as you normally would [2] 2. Activate the add-on if you hadn't already [3] 3. Craft a confirmation email to be sent to each form responder Upon each form submission, the add-on will send a PDF with a unique QR code (a V4 UUID) to the responder. Have guests present this code at the event, and record check-ins in bulk using the included QR scanner. See here [4] for more information, or try the Google Sheets™ version [5] (which doesn't send email). [1] https://ift.tt/bMx6Yo3 [2] https://ift.tt/tDf5mGj [3] https://ift.tt/lp5PaMo... [4] https://ift.tt/Lr5x4JS... [5] https://ift.tt/oePVJZ6... https://ift.tt/SP1o7La December 27, 2023 at 11:13PM
Tuesday, December 26, 2023
Monday, December 25, 2023
Show HN: I Made a Christmas Quiz https://ift.tt/ICkbGvX
Show HN: I Made a Christmas Quiz For the last couple of years I've created a Christmas quiz, which you can read about and play here: https://ift.tt/gp3Fh68... . This year I created another quiz, this time general Christmas questions. Like last year the tech I used: - Astro - React - TypeScript - Framer Motion for the animation - A Netlify function that saves and loads the scoreboard from Azure Table Storage Unlike last year which was somewhat easy to cheat on by Googling, this time, the longer you take to answer a question the fewer points you get. I hope you have fun and a great Christmas https://ift.tt/lhnfytC December 25, 2023 at 04:01AM
Sunday, December 24, 2023
Show HN: 1000+ Handpicked online tools and resources in one place https://ift.tt/yDFl9K2
Show HN: 1000+ Handpicked online tools and resources in one place https://intools.co December 23, 2023 at 04:59PM
Saturday, December 23, 2023
Show HN: I built a Slack bot to answer the question who owns what https://ift.tt/uXQag0W
Show HN: I built a Slack bot to answer the question who owns what Hi, I built a slack bot called "whoowns". It helps remote distributed teams by answering the question who owns what straight where collaboration happens; in slack. I've worked in a remote distributed team for 3 years and grew frustrated after so many re-orgs, people moving between teams, team name changes.. you name it! it gets confusing knowing who owns what -- which for one makes for a less ideal oncall and often evolves into a ping pong of slack messages. So! its free and asks for the most minimal data access that I could get down to: some questions it can answer all in 1 place - Who's oncall for this service? - Which team owns X? - I cant find which team owns X - oh its called by the another term. - What channel should I go to to ask a question? - What is service X? - Where can I find the link to the runbooks? next features i plan on working on - connect a notion table (for those who's org chart is saved there) - list repositories without codeowners - search mono-repositories that are owned by multiple team owners - list services without active oncall schedules - and more.. thoughts? have other ideas of what you'd like to see? https://www.whoowns.bot December 24, 2023 at 12:13AM
Show HN: Extension that combines multiple tools into one https://ift.tt/xZkDNwS
Show HN: Extension that combines multiple tools into one I built Browser Boost as an alternative to having to trust multiple extensions from various developers, which are often closed source, collect user data, and come with undocumented permissions. Browser Boost collects no user data, does not require signup, has no servers, is entirely open source, and is 100% free. Tools: - Boost Volume: Increase the maximum volume of your browser up to 600%. - Change User Agent: Spoof user agent to emulate different devices or browsers. - Enable Right Click & Select: Force enable right clicks, copy, & text selection on sites that have disabled right click or selection interactions. - Save Image as Type: Add context menu to save images as JPG, PNG or WebP. - Disable WebRTC: Disable WebRTC requests to prevent IP address leaks. Chrome Download: https://ift.tt/BdOq5Vp... (Currently working on the Firefox version) Github: https://ift.tt/nORmi9k https://ift.tt/nORmi9k December 23, 2023 at 08:53PM
Friday, December 22, 2023
Thursday, December 21, 2023
Show HN: Come and create chat rooms about programming and software development https://ift.tt/TBogtMy
Show HN: Come and create chat rooms about programming and software development https://ift.tt/WjR3Da9 December 21, 2023 at 08:38PM
Wednesday, December 20, 2023
Show HN: Command line tool for extracting secrets from WARC (Web ARChive) files https://ift.tt/293lGFo
Show HN: Command line tool for extracting secrets from WARC (Web ARChive) files Troll-A is a command line tool for extracting secrets such as passwords, API keys, and tokens from WARC (Web ARChive) files, such as the ones from the Common Crawl project or the Archive Team. https://ift.tt/IgK4XtJ December 20, 2023 at 09:20PM
Tuesday, December 19, 2023
Show HN: The Most Concise GPT https://ift.tt/Pl0eV3h
Show HN: The Most Concise GPT I took the time to prompt engineer a custom GPT to give very concise answers. It is very fast, and works quite well! I've been using it many times of day since I put it together. https://ift.tt/dliuZ5n December 19, 2023 at 11:18PM
Monday, December 18, 2023
Show HN: Paradict – Streamable multi-format serialization with schema https://ift.tt/3ro92T1
Show HN: Paradict – Streamable multi-format serialization with schema Hi HN ! I'm Alex, a tech enthusiast. I'm excited to show you Paradict ( https://ift.tt/WgB6P0w ), my solution for streamable multi-format serialization. Although JSON, YAML, and TOML are all human-readable, they serve different purposes. For example, TOML is specifically designed for configuration files while JSON is used as a data interchange format. Sometimes an initiative to create a binary version of JSON arises and as far as I know, it ends with an unidirectional mapping of datatypes. There is no silver bullet, yet one coherent solution built from scratch that addresses multi-format (binary and textual) serialization and configuration files would be a step forward. Earlier this year, I accidentally designed a textual data format to represent complex data structures inside a document divided into sections. The project, namely Jesth (Just Extract Sections Then Hack'em), generated an interesting discussion on HN ( https://ift.tt/aCFS45Q ). Out of curiosity, I ran some benchmarks using Jesth, JSON and MessagePack, with and without Gzip compression against a large JSON file downloaded from the web. The benchmarking gave me insights that led to the decision to evolve Jesth's ideas into a new multi-format serialization solution. I designed and built Paradict from scratch to serialize and deserialize a dictionary data structure. Although Paradict's root data structure is a dictionary, lists, sets, and dictionaries can be nested within it at arbitrary depth. A Paradict dictionary can be populated with strings, binary data, integers, floats, complex numbers, booleans, dates, times, datetimes, comments, extension objects, and grids (matrices). There is also a schema-based validation mechanism that can contain programmatic checkers. The binary serialization format is designed with compactness in mind such as Pi with its first two decimal places, the Golden ratio with its first two decimal places, and the date of the funeral of Pope Benedict XVI would each be encoded on two bytes (not counting their respective 1-byte tag which starts each Paradict binary datum). This binary format has two levels of granularity for continuous data stream processing: a datum at the low level, which is in some cases a 2-tuple composed of a tag and its payload, and the message at the high level which is a dictionary data structure. The textual serialization format has two modes: data and config modes. Config mode implicitly treats dictionary keys as strings, removing the need to surround them with quotes, and unlike the colon (:) between a key-value pair in data mode, it uses the equal sign (=) as separator. This textual format has two levels of granularity for continuous data stream processing: a single line of text at the low level and the message at the high level which is a dictionary data structure. Here is a valid Paradict configuration document that contains a "user" section: [user] # no comment id = 42 name = 'alex' birthday = 2042-12-25T16:20:59Z photo = (bin) 54 68 69 73 20 69 73 20 6E 6F 74 20 61 20 70 68 6F 74 6F 67 72 61 70 68 weight_matrix = (grid) 1 0 1 0 0 1 0 1 1 0 1 0 books = (dict) romance = (list) 'Happy Place' 'Romantic Comedy' sci_fi = (list) 'Dune' 'Neuromancer' epitaph = (text) According to the law of conservation of energy, no a bit of you is gone; you are just less orderly. --- Under the hood, Paradict uses Braq ( https://ift.tt/t1UQV6I ), the most obvious way to section a document (as shown just above), and Ustrid ( https://ift.tt/4n9ik2d ), to uniquely generate string identifiers. Paradict is available on PyPI and you can learn more by reading its README, browsing the source code or playing with its tests. Let me know what you think about all this ! https://ift.tt/WgB6P0w December 18, 2023 at 08:30PM
Sunday, December 17, 2023
Show HN: FlashFlashCards- create Anki flashcards from screenshots https://ift.tt/uyb6Saf
Show HN: FlashFlashCards- create Anki flashcards from screenshots https://ift.tt/lKZSCqx December 17, 2023 at 10:36PM
Saturday, December 16, 2023
Show HN: Modern C++ implementations of a words counter with benchmarks https://ift.tt/zWB4P2i
Show HN: Modern C++ implementations of a words counter with benchmarks I uploaded a few days ago some code I had around that some people could find interesting, so I share it here. It is a series of increasingly more performant C++20 words counters (though quite simple in the definition of what a "word" is). Feel free to experiment. Things should be ready to use in Linux and Mac. If you find any problems building, please let me know through Github, I do not have much time but when I find a slot I will correct at least user failures. Planning to add a decent `./bootstrap.sh` to speed up dependencies installation by users. https://ift.tt/4z2w83K December 16, 2023 at 11:39PM
Show HN: Sqlauthz: Declarative permissions management for PostgreSQL https://ift.tt/XCZuFxe
Show HN: Sqlauthz: Declarative permissions management for PostgreSQL I've been working on a little project recently to solve a problem that I've encountered at every job I've ever had, and I'm eager for some feedback. Having super granular roles & permissions in PostgreSQL is desirable, but quite difficult to maintain (particularly at smaller companies without dedicated security/devops/DBA/whatever who make it their business to maintain it). I've thought for a while that having a declarative way to manage them would be really useful and allow more teams to actually make use of sophisticated security features that PostgreSQL offers in their production systems. You can probably see where this is going... I wrote a tool to do just that! It's called sqlauthz, and it allows you to declarative manage your PostgreSQL permissions by writing rules in the Polar authorization language. https://ift.tt/eVNSQZv December 16, 2023 at 11:12PM
Friday, December 15, 2023
Show HN: Express.js ported to a Service Worker context https://ift.tt/iqdm7sx
Show HN: Express.js ported to a Service Worker context https://ift.tt/EvescnZ December 15, 2023 at 11:32PM
Thursday, December 14, 2023
Show HN: Octopus – a directed acyclic graph for app development https://ift.tt/gGzBx5k
Show HN: Octopus – a directed acyclic graph for app development Directed acyclic graphs are muched discussed in comp-sci, but octopus appears to be the first reusable, turnkey, ready-to-wear, off-the-shelf implementation of a DAG for application development, in any language, that I'm aware of. This is remarkable because DAGs hit a sweet spot in the middle of the three common programming paradigms (OO, event-driven, functional). Let's have a DAG as the top-level structure of our applications. Data-fetching and onChange handlers live in DAG nodes, next to the data they act on. The UI flows out from the DAG with fine-grained reactivity. Our app state is effortlessly consistent, because any outside change (user action, api result) unleashes a graph traversal. Our UI components become much simpler, because they just need to dumbly reflect values in the graph. I'm putting this up for a second time. Absolutely no-one bit the first time, which can't be right :-) https://ift.tt/lmDdnNG December 14, 2023 at 10:36PM
Wednesday, December 13, 2023
Show HN: Gait Analyzer https://ift.tt/QclM9xh
Show HN: Gait Analyzer When ever I visit my spine doctor, the first thing they ask me to do is to walk for checking my gait. I've been wanting to analyze my gait myself for a long time and only now its been possible due to accessible & efficient ML/AI and the ability to run complex models on local computer. Gait abnormalities can be attributed to various musculoskeletal and neurological conditions and so gait analysis is being used as an important diagnostic tool by doctors. Automated gait analysis requires expensive motion capture or multiple-camera systems. But with Gait Analyzer one can analyze their gait in comfort and privacy of their home on their computer. Gait Analyzer implements the algorithm published in the paper titled Automated Gait Analysis Based on a Marker-Free Pose Estimation Model - https://ift.tt/nlSZbxy . This algorithm for gait analysis is shown to be as reliable as a motion capture system for most scenarios. Gait Analyzer further uses Llama 2 large language model to interpret the gait data to the end user in simple terms. You can test Gait Analyzer by uploading a short side-view video of you walking. In case you want to run it locally in your computer, It's available on docker and its open-source. I'd appreciate your feedback to improve Gait Analyzer. https://ift.tt/OLGnBtu https://ift.tt/c35LPDp December 13, 2023 at 10:05PM
Tuesday, December 12, 2023
Show HN: RΞASON – Open-source TypeScript framework for LLM apps https://ift.tt/vJQyM4h
Show HN: RΞASON – Open-source TypeScript framework for LLM apps Hi HN! RΞASON is an OSS Typescript framework for developing LLM apps that uses Typescript's interfaces to get structured output from an LLM. While there are other TS LLM frameworks, I think RΞASON fills a unique space in the market: it's laser-focused on only three areas and, most importantly, actively stays away from pre-made prompting & retrieval. I've been in the LLM space since GPT-3 originally came out, and I've always had problems with other frameworks, such as LangChain. I dislike that they focus a ton on out-of-the-box prompting & pre-made agents — I , as the dev, should be the one in charge of it. My belief is that LLMs are a new primitive that programmers can use — not a new way to program; it's still up to the programmer to do the right thing & create the right abstractions. Therefore, it's the developer's job to learn the new concepts that come from this new primitive, such as prompting & retrieval. I see a similar analogy here with ORMs & SQL. What RΞASON helps with is in areas that don't differentiate your app: getting structured outputs, handling streaming, and observability. The goal of RΞASON is to make creating great LLM experiences easier. We try to accomplish this by simplifying the hard stuff & maximizing performance — decreasing as much as possible the TTUB. RΞASON is OpenTelemetry compatible — which allows observability in almost any tool (Zipkin, Jaeger, paid solutions, etc.). I'd really love to hear feedback about RΞASON! It has been a hobby project for the last months and I'm super curious to what y'all will think. By the way, contributions welcome! https://ift.tt/DC9AOzR December 12, 2023 at 11:35PM
Monday, December 11, 2023
Show HN: I built an OSS alternative to Azure OpenAI services https://ift.tt/zTXRlFN
Show HN: I built an OSS alternative to Azure OpenAI services Hey HN, I am proud to show you guys that I have built an open source alternative to Azure OpenAI services. Azure OpenAI services was born out of companies needing enhanced security and access control for using different GPT models. I want to build an OSS version of Azure OpenAI services that people could self host in their own infrastructure. "How can I track LLM spend per API key?" "Can I create a development OpenAI API key with limited access for Bob?" "Can I see my LLM spend breakdown by models and endpoints?" "Can I create 100 OpenAI API keys that my students could use in a classroom setting?" These are questions that BricksLLM helps you answer. BricksLLM is an API gateway that let you create API keys with rate limit, cost control and ttl that could be used to access all OpenAI and Anthropic endpoints with out of box analytics. When I first started building with OpenAI APIs, I was constantly worried about API keys being comprised since vanilla OpenAI API keys would grant you unlimited access to all of their models. There are stories of people losing thousands of dollars and the existence of a black market for stolen OpenAI API keys. This is why I started building a proxy for ourselves that allows for the creation of API keys with rate limits and cost controls. I built BricksLLM in Go since that was the language I used to build performative ads exchanges that scaled to thousands of requests per second at my previous job. A lot of developer tools in LLM ops are built with Python which I believe might be suboptimal in terms of performance and compute resource efficiency. One of the challenges building this platform is to get accurate token counts for different OpenAI and Anthropic models. LLM providers are not exactly transparent with the way how they count prompt and completion tokens. In addition to user input, OpenAI and Anthropic pad prompt inputs with additional instructions or phrases that contribute to the final token counts. For example, Anthropic's actual completion token consumption is consistently 4 more than the token count of the completion output. The latency of the gateway hovers around 50ms. Half of the latency comes from the tokenizer. If I start utilizing Go routines, might be able to lower the latency of the gateway to 30ms. BricksLLM is not an observability platform, but we do provide integration with Datadog so you can get more insights regarding what is going on inside the proxy. Compared to other tools in the LLMOps space, I believe that BricksLLM has the most comprehensive features when it comes to access control. Let me know what you guys think. https://ift.tt/Azk7aC4 December 11, 2023 at 10:56PM
Sunday, December 10, 2023
Show HN: MyYogaFlow – Online Yoga Instructor https://ift.tt/3vk8JYa
Show HN: MyYogaFlow – Online Yoga Instructor Hi fellow hackers :) I am an indie hacker based in Switzerland who has been tinkering around with many side projects. Most of the things I developed were for myself or just to get familiar with a specific technology or piece of software. I never really deployed anything so far. Not too long ago, my SO and me bought a deck of cards with different yoga poses on them. Since we both work from our office chairs more than 8 hours a day, we wanted to do something for our body and this is where the yoga idea originated from. After the first 10 minutes of reading through the leaflet and another 30 minutes of choosing the poses and putting them in a somewhat meaningful order, we finally started with our own yoga session. It was clear to me: this is not something my SO wants to do every day. Doing the same order of poses every day wasn't an appealing alternative either. Away with the cards and on the lookout for an alternative again. Hence I started developing an application for us, that automatically generates a yoga session. It shows the poses one by one and guides you through the session. Each session is unique, which makes it more interesting over the days. The app even lets you create your custom flow that you select or it chooses among poses that fit your experience level just right. I have recently launched this application and made it publicly available. It is working (in most of the cases) and we are pretty happy about how it turned out. We used it many times in our lunch breaks or after a stressful day to calm down. I would be more than happy to get some feedback on it and some pointers on what to improve or focus on next. https://ift.tt/DHAZcVs December 10, 2023 at 07:02PM
Saturday, December 9, 2023
Show HN: Seamless – An AI assistant that writes your literature review https://ift.tt/W9SjEFG
Show HN: Seamless – An AI assistant that writes your literature review https://seaml.es/ December 9, 2023 at 11:39PM
Friday, December 8, 2023
Show HN: I created an extension for direct streaming of videos, bypassing ads https://ift.tt/e8VFojh
Show HN: I created an extension for direct streaming of videos, bypassing ads https://ift.tt/dj5KTmA December 8, 2023 at 10:18PM
Thursday, December 7, 2023
Show HN: Biblos – Semantic Search the Church Fathers https://ift.tt/nakwMz0
Show HN: Biblos – Semantic Search the Church Fathers I'm pleased to present an update to Biblos, a semantic search tool designed for biblical research. This release incorporates instructor-large embeddings to enhance the precision of verse retrieval. Introducing some key features including historical church writings and commentaries alongside the main biblical corpus. Available for use at https://biblos.app/ Technical Insights: - Utilizes Chroma for vector search, now powered by instructor-large embeddings for improved semantic accuracy. - Features Anthropic's Claude LLM model to generate summaries that provide context and clarity for search results. - Developed with a Retrieval Augmented Generation (RAG) architecture, the app offers a streamlined user experience through a Streamlit Web UI, all orchestrated with Python. https://biblos.app/ December 7, 2023 at 10:08PM
Wednesday, December 6, 2023
Show HN: Llama 2 Uncensored 70B as API https://ift.tt/DIsfC8k
Show HN: Llama 2 Uncensored 70B as API https://woolapi.com December 6, 2023 at 11:09PM
Show HN: Lume – automate data mappings using AI https://ift.tt/17TMZky
Show HN: Lume – automate data mappings using AI Hi HN! I'm Nicolas, co-founder of Lume, a seed-stage startup ( https://www.lume.ai/ ). At Lume, we use AI to automatically transform your source data into any desired target schema in seconds, making onboarding client data or integrating with new systems take seconds rather than days or weeks. In other words, we use AI to automatically map data between any two data schemas, and output the transformed data to you. We are live with customers and are just beginning to open up our product to more prospects. Although we do not have a sandbox yet, here is a video walkthrough of how the product works: https://ift.tt/4c8KXos?... . And, here is our documentation: https://docs.lume.ai . We would love to get you set up to test it, so please reach out. Using Lume: we do not have self-serve yet. In the meantime, you can request full access to our API through the Request Access button in https://www.lume.ai . The form asks for quick information e.g. email so that I can reach out to you to onboard you. Please mention you came from HN and I’ll prioritize your request. How our full API product offering works: Through Lume’s API, users can specify their source data and target schema. Lume’s engine, which includes AI and rule-based models, creates the desired transformation under the hood by producing the necessary logic, and returns the transformed data in the response. We also support mapper deployment, which allows you to edit and save the AI generated mappers for important production use cases. This allows you to confidently reuse a static and deterministic mapper for your data pipelines. Our clients have three primary use cases - Ingest Client Data: Each client you work with handles data differently. They name, format, and handle their data in their own way, and it means you have to iteratively ingest each new client's data. - Normalize data from unique data systems. To provide your business value, your team needs to connect to various data providers or handle legacy data. Creating pipelines from each one is time consuming, and things as small as column name differences between systems makes it burdensome to get started. - Build and maintain data pipelines. Creating different pipelines to that map to your target schema, whether for BI tooling, downstream data processing, or other purposes, means you have to manually create and maintain these mappings between schemas. We're still trying to figure out pricing so we don't have that on our website yet - sorry, but we wanted to share this even though it's still at an early stage. We’d love your feedback, ideas & questions. Also, feel free to reach out to me directly at nicolas@lume.ai. Thank you. https://www.lume.ai/ December 6, 2023 at 09:37PM
Tuesday, December 5, 2023
Monday, December 4, 2023
Sunday, December 3, 2023
Show HN: OSHW Embedded Ethernet Switch https://ift.tt/cF1M39I
Show HN: OSHW Embedded Ethernet Switch https://ift.tt/mSq6H4F December 3, 2023 at 05:49PM
Saturday, December 2, 2023
Show HN: AI Shopping Assistant https://ift.tt/yRGhNiU
Show HN: AI Shopping Assistant Hi! My friend and I built an AI Shopping Assistant powered by ChatGPT, called ShopMigo. The primary purpose of this project was to learn more about LLMs, embeddings, and AI in general. This started more as a pet project, but turned into something that we actually find really useful. I’m the kind of person that will take weeks to do research before buying an electronic or an expensive product. ShopMigo helps to guide you through a purchase and aggregates reviews so you don’t have to spend weeks/months doing your due diligence. Try it out! Let us know what you think! https://ift.tt/5cg4Z3u December 2, 2023 at 10:53PM
Friday, December 1, 2023
Show HN: Block bots and spam on Instagram with SocialGuard https://ift.tt/lCv5fyq
Show HN: Block bots and spam on Instagram with SocialGuard Hey HN, I've been working on a project to combat bots and spam on Instagram. SocialGuard provides an overview of all the comments flowing through your IG account, with options to automatically delete or reply to comments based on keywords + phrases. If you use IG for work purposes, I hope it can help keep your posts clean of spam! https://ift.tt/zsSqtJT December 1, 2023 at 09:41PM
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