Show HN: Command line tool for extracting secrets from WARC (Web ARChive) files https://ift.tt/pk6GA29

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/lbQ29Fy December 20, 2023 at 10:50PM

Show HN: Interactive ECS Systems/Component Explorer for Cities: Skylines 2 https://ift.tt/XNp5kzr

Show HN: Interactive ECS Systems/Component Explorer for Cities: Skylines 2 https://ift.tt/UDfdvL4 December 20, 2023 at 01:18AM

Show HN: The Most Concise GPT https://ift.tt/YJiR1sl

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/SuQJT1W December 20, 2023 at 12:48AM

Show HN: Canary Checker – An OSS Kubernetes Native Health Check Platform https://ift.tt/CR6SNHz

Show HN: Canary Checker – An OSS Kubernetes Native Health Check Platform I am Moshe the Founder @ Flanksource, and today we are releasing canary-checker, an open source, kubernetes native health check platform that provides a unified view of health across the entire stack. Canary checker was born out of the need for platform teams (particularly those running on- premise or on less than perfect infrastructure) to understand the health of applications running on top of the platform. Unlike other solutions such as prometheus blackbox exporter, kuberhealthy, and synthetic testing offered by major cloud providers, our approach goes beyond health collection. Canary Checker enables health aggregation by ingesting alerts from Prometheus, Cloudwatch, Dynatrace, and for running full test suites using tools like K6, Playright, Robot, etc.. This approach provides a unified view of system health without the need to browse through many dashboards. Canary Checker can also replace the need for multiple Prometheus exporters. It empowers you to export metrics from responses across 35+ supported protocols, including HTTP, SQL and Elasticsearch. Something fairly unique to canary-checker is the ability to build stateful checks that use the results of a previous check in subsequent checks to generate metrics around historical data such as logs, logins, and activity stored in db tables. https://ift.tt/xEciP54 December 19, 2023 at 11:44PM

Show HN: Auto-Pilot-Computer – Let GPT4 vision operate your computer https://ift.tt/2zO9Svf

Show HN: Auto-Pilot-Computer – Let GPT4 vision operate your computer https://ift.tt/qRPY1Fu December 19, 2023 at 12:29AM

Show HN: Paradict – Streamable multi-format serialization with schema https://ift.tt/7kKJQSw

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/4u8SDzM ), 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/HElnSPR ). 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/6RjAv9G ), the most obvious way to section a document (as shown just above), and Ustrid ( https://ift.tt/JO3SaGn ), 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/4u8SDzM December 18, 2023 at 10:00PM

Show HN: DALL-E 3 and GPT-4 Vision Recursive Image Generator https://ift.tt/5rhoW14

Show HN: DALL-E 3 and GPT-4 Vision Recursive Image Generator It's like Gartic Phone for images, powered by AI. I created an automated DALL·E 3 and GPT-4 Vision Image Recursor. Simply provide a starting prompt and see how AI iterates on it. It's perfect for the 'Make it more' trend. You'll need to provide your own OpenAI API Key, but the website is open source! I've linked to the GitHub on the website. Try it out: https://ift.tt/Vr0i2T8 https://ift.tt/t2aEDRe December 18, 2023 at 09:09PM