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‏إظهار الرسائل ذات التسميات Hacker News. إظهار كافة الرسائل

الثلاثاء، 23 مايو 2023

Show HN: Honda Civic Infotainment Reverse-Engineering https://ift.tt/jUNpSZu

Show HN: Honda Civic Infotainment Reverse-Engineering I own a 2021 Honda Civic and have been annoyed by the lack of public documentation/hacking tools for the Android-based headunit. I hope to address this by publishing my research into the headunit and encouraging discussion and community contribution https://ift.tt/j2o6Zl7 May 24, 2023 at 04:05AM

الاثنين، 22 مايو 2023

Show HN: DB-GPT, an LLM tool for database https://ift.tt/JFqQjUh

Show HN: DB-GPT, an LLM tool for database https://ift.tt/JYdVuc6 May 23, 2023 at 04:40AM

Show HN: Aimless.js – the missing js randomness library https://ift.tt/SCTqKal

Show HN: Aimless.js – the missing js randomness library https://ift.tt/Bq8Djs1 May 23, 2023 at 01:41AM

Show HN: Blotter – An interactive, never ending music video https://ift.tt/k3X1QOz

Show HN: Blotter – An interactive, never ending music video One day I was listening to a playlist and wished there could be some cool visuals to go along with it. Blotter is a proof of concept I hacked together that does a bit of audio recognition combined with a few generative AI models (both text and img) to create visuals that are relevant to the song. The video stream is generated in real time at 24fps - you can try it yourself by requesting visuals in the Twitch chat using the "!v" command! Right now it's mostly a fun hack project, but I am tinkering with new model architectures for higher fidelity video as well as an interactive tool so people can make videos with their own audio files. I'd love to hear any feedback or suggestions, thanks! https://ift.tt/7O80xSk May 23, 2023 at 01:21AM

Show HN: Psychic - An open-source integration platform for unstructured data https://ift.tt/MuXHhEs

Show HN: Psychic - An open-source integration platform for unstructured data My cofounder and I used to work at Robinhood where we shipped the company’s first OAuth integrations, so we know a lot about how data moves between companies. For example, we know that the pain of building new API integrations scales with the level of fragmentation and number of competing "standards". In the current meta, we see this pain with a lot of AI startups who invariably need to connect to their customers data, but have to support 50+ integrations before they even scale to 50+ customers. This is the process for an AI startup to add a new integration for a customer: - Pore over the API docs for each source application and write a connector for each - Play email tag to find the right stakeholders and get them to share sensitive API keys, or give them an OAuth app. It can take 6+ weeks for some platforms to review new OAuth apps - Normalize data that arrives in a different formats from each source (HTML, XML, text dumps, 3 different flavors of markdown, JSON, etc) - Figure out what data should be vectorized, what should be stored as SQL, and what should be discarded - Detect when data has been updated and synchronize it - Monitor when pipelines break so data doesn’t go stale This is a LOT of work for something that doesn’t move the needle on product quality. That’s why we built Psychic.dev to be the fastest and most secure way for startups to connect to their customer’s data. You integrate once with our universal APIs and get N integrations with CRMs, knowledge bases, ticketing systems and more with no incremental engineering effort. We abstract away the quirks of each data source into Document and Conversation data models, and try to find a good balance to allow for deep integrations while maintaining broad utility. Since it’s open source, we encourage founders to fork and extend our data models to fit their needs as they evolve, even if it means migrating off our paid version. To see an example in action, check out our demo repo here: https://ift.tt/BgDzaLE We are also open source and open to contributions, learn more at docs.psychic.dev or by emailing us at founders@psychic.dev! https://ift.tt/Z1AlwMK May 22, 2023 at 05:41PM

الأحد، 21 مايو 2023

Show HN: A Simple Load Testing CLI Built in Go https://ift.tt/Cyqzg7b

Show HN: A Simple Load Testing CLI Built in Go There are plenty of good tools for load testing such as JMeter, Minigun, and plenty more - but they all have their own set of options to learn. I built this one to support a simpler workflow where you just paste your curl request (or other cli command) after your `spam` config (literally just `spam -r 2 -- curl www.google.com). It's pretty barebones but I'm 100% going to use it in my day to day - figured I'd share it here if it helped anyone else! https://ift.tt/ljm7OMN May 21, 2023 at 10:32PM

الجمعة، 19 مايو 2023

Show HN: Swap.js – a JavaScript micro-framework (HTML fragments over the wire) https://ift.tt/n8qWCyv

Show HN: Swap.js – a JavaScript micro-framework (HTML fragments over the wire) Hi HN! I created this lib in the need of a simple and tiny framework to easily do AJAX-style navigation / replacement of fragments in the page, in a web application. For people who don't want to use client-side-rendering and complex frameworks à la React, there are nowadays a few "HTML-over-the-wire" libraries, like HTMX, Unpoly or this super-tiny one Swap.js :) One other key thing is that no external tool is needed: no bundler, no webpack, no TypeScript compiler, no minification needed. Just write HTML, JS (+ your preferred server-side language: PHP, Python, etc.) and it works. The framework makes use of fetch (of course) but also MutationObserver API to be able to launch actions when parts of the DOM change. Let me know what you think! https://ift.tt/wTzUAnr May 18, 2023 at 09:04PM

Show HN: How to Prevent Prompt Injections https://ift.tt/SkX3NYt

Show HN: How to Prevent Prompt Injections https://ift.tt/psAduYo May 19, 2023 at 03:07PM

الخميس، 18 مايو 2023

Show HN: Lunchtoast – a CLI tool for functional testing of console applications https://ift.tt/R5QBt8T

Show HN: Lunchtoast – a CLI tool for functional testing of console applications It helps to create tests that check program output with a simple test description format. It's written in C++20 and works on Windows and Linux. https://ift.tt/EkVCmGL May 19, 2023 at 01:28AM

Show HN: Playtext – Turn articles into audiobooks and read 2x faster https://ift.tt/AjU3Z51

Show HN: Playtext – Turn articles into audiobooks and read 2x faster https://playtext.app May 18, 2023 at 07:20PM

Show HN: PAKman – A new build system built around Alpine Linux Packages https://ift.tt/k2wa47j

Show HN: PAKman – A new build system built around Alpine Linux Packages https://ift.tt/qE4Wntk May 16, 2023 at 05:23PM

الأربعاء، 17 مايو 2023

Show HN: PENVM – Programmable, extensible, network virtual machine https://ift.tt/c51lGgs

Show HN: PENVM – Programmable, extensible, network virtual machine The PENVM platform provides the building blocks to facilitate the leveraging of networks. There is no lack of frameworks and tools for working with servers, communicating over the network, and processing. What PENVM does is make this simple and easy to use, reuse, and share. Low-level concerns with networking and communication are not exposed. Network setup and management is simple. Communication is uncomplicated. And integration within applications is smooth with freedom to apply as needed. PENVM provides the means to get up to speed quickly with little hassle. This kind of development does not need to be difficult anymore. https://penvm.dev/ May 17, 2023 at 09:12PM

Show HN: Metatype – an open-source HTTP/GraphQL query engine for APIs/data/WASM https://ift.tt/xX1qsAY

Show HN: Metatype – an open-source HTTP/GraphQL query engine for APIs/data/WASM Hey everyone, we built Metatype [0] as a different way to build APIs and backends based on 3 parts: 1. a Python package to build virtual graphs connecting all components of your stack (think databases, third-parties, and existing systems) 2. an HTTP/GraphQL query engine built in Rust/Deno that authorizes and optimizes queries over the graphs 3. a CLI to provide a nice developer experience and fast feedback cycle We developed this platform to tackle some of the challenges we often saw in tech teams we worked with: - most developers (especially backend) still spend too much time on tasks with no real added value (crud, data validation, compliance, etc.) - when growing a product, it is difficult keeping up with business needs and remaining agile/innovative with technology (especially when there is limited funding) We believe it provides multiple advantages over more traditional approaches: - it offers multiple runtimes [1] with pre-defined operations (e.g. Prisma) and can replace the needs for an ad-hoc backend - when the project grows, you can easily introduce new APIs or break existing ones in smaller parts while keeping the same interface - you can write complex business logic directly in Typescript, Python or WebAssembly and run them directly inside the query engine - most of the frontend are today built on composable components, this brings a similar approach to backend development - third-parties APIs can be easily integrated, providing you visibility and control over them - it is interoperable with existing systems, and can be introduced step by step - it can be easily self-hosted or customized according to your needs The project is now in public beta, and is run in production by a few companies. We are looking to collect more feedback and early users to help us improve the platform. For the tech curious reader, we also had to build a few new open source pieces to make this happen: - a WASI runtime for Python [2] to run Python code inside WASM inside the engine - a task runner [3] supporting live reload and managing dependencies as DAGs - a way to inject secrets [4] from your preferred vaults into the engine [0]: http://metatype.dev [1]: https://ift.tt/Sjq3FG2 [2]: https://ift.tt/tul3L1A [3]: https://ift.tt/Nlprmiz [4]: https://ift.tt/0dIw4HS https://ift.tt/VmKy3Gq May 17, 2023 at 11:25PM

الاثنين، 15 مايو 2023

Show HN: Capillaries: Distributed data processing with Go and Cassandra https://ift.tt/3ehMfZL

Show HN: Capillaries: Distributed data processing with Go and Cassandra I started thinking about this approach after working on a large-scale project for a major financial company where our group developed a distributed in-house data processing solution. On a regular basis, it ingested a few gigabytes of financial data and, within a tight SLA time limit, produced a lot of enriched/aggregated/validated data for a number of customers. Sometimes, source data had errors, so operators with domain knowledge had to verify data validity at some checkpoints, immediately make corrections, and re-run parts of the workflow manually. The solution involved complex web service orchestration, custom database and was very demanding on the infrastructure availability. Capillaries is a built from scratch, open-source Go solution that does just that: ingests data and applies user-defined transforms - Go one-liner expressions, Python formulas, joins, aggregations, denormalization - using Cassandra for intermediate data storage and RabbitMQ for task scheduling. End users just have to provide: - source data in CSV files; - Capillaries script (JSON file) that defines the workflow and the transforms; - Python code that performs complex calculations (only if needed). The whole data processing pipeline can be split into separate runs that can be started independently and re-run by the user if needed. The goal is to build a platform that is tolerant to database and processing node failures, and allows users to focus on data transform logic and data quality control. “Getting started” Docker-based demo calculates ARK funds performance, using EOD holdings and transactions data acquired from public sources. There are also integration tests that use non-financial data. There is a test deploy tool that uses Openstack API for provisioning in the cloud. https://capillaries.io May 16, 2023 at 03:13AM

Show HN: Legend-State 1.0 – The fastest React state library https://ift.tt/FbLECGq

Show HN: Legend-State 1.0 – The fastest React state library After almost a year of development and iterating, we just released Legend-State 1.0. It's the fastest React state library and is very easy to use, based on Observables (Signals) with fine-grained reactivity and built-in persistence. I'd love to know what you think, and I'm also happy to answer any general JavaScript performance questions if you want since I've gone very deep into optimizing . https://ift.tt/Jsy6Fot https://ift.tt/yRfN0XJ May 16, 2023 at 02:06AM

Show HN: Hat-syslog – Syslog Server with real time web UI https://ift.tt/0nOUJLx

Show HN: Hat-syslog – Syslog Server with real time web UI https://ift.tt/fBswhga May 16, 2023 at 01:05AM

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