Show HN: Postcard Bot – Send Any Photo as a Postcard with a Text Message https://ift.tt/KQ506Ju

Show HN: Postcard Bot – Send Any Photo as a Postcard with a Text Message Hey HN! This is a fun little project that I built over a weekend back in 2016, and then as life happened I let it dwindle and die. Per request from friends and family, I’ve brought it back to life. Check it out if you want! It’s surprisingly fun receiving physical postcards in the mail. I’ve also got WhatsApp integration and some more fun things in the works, so stay tuned! https://ift.tt/2FfJ416 March 8, 2023 at 05:55AM

Show HN: ChatGPT and Document Parser = Ghost https://ift.tt/VTb5DaF

Show HN: ChatGPT and Document Parser = Ghost I've always wanted to just upload a whole book to ChatGPT and ask questions. Obviously with the char limit that's impossible... So some buddies and I built Ghost. We have it limited to 5 pages for uploads for now, but plan on expanding the limit soon. Let me know what you guys think! https://ift.tt/RJ0ZBMK March 8, 2023 at 12:56AM

Show HN: Summarizing long form videos into easy to follow essay https://ift.tt/xKmtsb0

Show HN: Summarizing long form videos into easy to follow essay Introducing ClipRecaps, the ultimate tool for summarizing long-form videos. With advanced algorithms and natural language processing techniques, ClipRecaps provides concise summaries of key points from videos, saving users time and enabling them to make informed decisions about which videos to watch in full. Say goodbye to lengthy videos and stay informed with ClipRecaps. Founded by a team of researchers from NUS, ClipRecaps has become an essential tool for students, professionals, and anyone looking to stay up-to-date in a fast-paced world. Try ClipRecaps today and experience the future of video summarization. https://cliprecaps.com/ March 7, 2023 at 01:45PM

Show HN: Hello World Java Polyglot https://ift.tt/dGOsezP

Show HN: Hello World Java Polyglot I wanted to see how much simpler native code integration has become with GraalVM's polyglot, when compared to JNI. It's less than 100 lines all up (including the POM). (I feel kinda stupid posting a "hello world" to HN, but this is a hell of an improvement.) Linux only at the moment. https://ift.tt/jfIc7X3 March 7, 2023 at 11:31AM

Show HN: Roastedby.ai – Talk some trash, have some fun https://ift.tt/CZ6fjJd

Show HN: Roastedby.ai – Talk some trash, have some fun https://ift.tt/3N2MD6T March 7, 2023 at 06:25AM

Show HN: Simple Log Alerts to Slack https://ift.tt/7c1lVLn

Show HN: Simple Log Alerts to Slack There are many log alerting systems on the market. The best known is probably Datadog. There’s also Logtail, Papertrail, Splunk, Logstash and others. These are well put together products with a host of great features, such as excellent UIs, sophisticated live searching via web interfaces and sometimes query languages and alerting. They require various levels of installation and they have costs, either through volume-based tiered systems or monthly payments. For a bootstrapped business, this can be problematic, for instance when a surge of logs - indicating a possible important problem that needs to be solved - pushes volume on to another tier. Should the “log ransom” be paid? Instead, I recalled from earlier times surely the simplest log watcher: Swatchdog [1]. It is rather venerable software. Its file history from its source download shows dates in 2015, but it was written much earlier - the 90s or possibly 80s by Todd Atkins [2]. We wanted to have alerts in Slack - the blog explains how we did it. In short: *very simply*. The code is available [3]. [1]: https://ift.tt/sar46B8 [2]: https://ift.tt/CS19NA0 [3]: https://ift.tt/2rzjfVn https://ift.tt/rpeQUf5 March 6, 2023 at 03:40PM

Show HN: Total.js – Low-code development (Node-RED alternative) https://ift.tt/P69B47a

Show HN: Total.js – Low-code development (Node-RED alternative) https://ift.tt/Im5hVP4 March 7, 2023 at 12:39AM

Show HN: Open-Source Alternative to Loom https://ift.tt/0ouLtwS

Show HN: Open-Source Alternative to Loom Hey HN, we're excited to introduce Sorbay - an open source alternative to Loom for creating and sharing screen recordings. With Sorbay, you can easily record your screen, camera, and microphone all at once. It is a complete solution that comes with its own backend service, allowing you to instantly share a link of your recording as soon as it is finished. The video is streamed directly to the backend service as the recording happens to make this possible. With both founders based in different countries, we needed a tool to quickly share screen recordings to keep us up to date or to ask for feedback. Meetings are cool if you need to discuss something deeply, but for almost everything else a quick recording works better. We had to settle for one of the proprietary solutions because none of the open source tools allowed us to quickly share something with each other. Doing the recording is one aspect, but having the ability to instantly share a link was crucial. Waiting on a 400mb video upload to a Dropbox is just too much interruption if you want to quickly share something. The tipping point for us to actually build this open source tool came via an interaction from one of our day jobs. A third party provider sent a screen recording full of confidential information and to make things worse, all of it was uploaded by them to a different third party service. We strongly believe that information like this should stay within a company, ideally on infrastructure that they control themselves. Having a fully integrated open source solution is the best way to go for this. Our goal with this first public release is to gather feedback. The critical code paths are working, but it is still a bit rough to use. We deliberately cut out all non-essential features, but have a clear roadmap on what we want to release this year. There are a couple of known issues like audio glitches, non-working videos in Safari and crashing binaries that we hope to fix in the coming weeks. Later this year, we plan on releasing a cloud hosted version of Sorbay that would let you connect your own S3 storage provider. Additionally, we will be releasing an on-prem option focused on features for enterprises (SSO, RBAC, compliance). Both the Sorbay Client and the backend service are completely open source. For licensing we choose the AGPLv3 throughout the stack. The client is built with Vue.js on top of Electron. The use of Electron might be a bit controversial here on Hackernews but given the resources we currently have that was the only way that allowed us to get a working client out on all major platforms. The backend service is realized with Django. We use Keycloak for authentication and Minio for S3 compatible storage. All of this is run alongside Postgres and Redis, running on Docker containers which are managed by Docker Compose. We invite you to try Sorbay for yourself and join us on our issue tracker[1][2], Slack channel[3] or here on HN. Thanks for checking out Sorbay! [1]: https://ift.tt/TAjLas0 [2]: https://ift.tt/anJfI56 [3]: https://ift.tt/nr7vRkX... https://sorbay.io/ March 6, 2023 at 09:35PM

Show HN: OpenBB Terminal – Investment research for everyone https://ift.tt/L0AiCsK

Show HN: OpenBB Terminal – Investment research for everyone https://ift.tt/i3nuqhz March 5, 2023 at 03:34PM

Show HN: GraphQL-like full stack typesafe development for REST https://ift.tt/YAI40vL

Show HN: GraphQL-like full stack typesafe development for REST https://ift.tt/JyXRHi3 March 5, 2023 at 01:43PM

Show HN: ChatGPT, No Login Needed, Made with Official OpenAI API https://ift.tt/ubpmxln

Show HN: ChatGPT, No Login Needed, Made with Official OpenAI API https://chatgptbay.com/ March 5, 2023 at 12:45PM

Show HN: Llama-dl – high-speed download of LLaMA, Facebook's 65B GPT model https://ift.tt/7kBMzIi

Show HN: Llama-dl – high-speed download of LLaMA, Facebook's 65B GPT model https://ift.tt/hzdxC8y March 5, 2023 at 09:58AM

Show HN: gpt-graph. A simple, GPT-3 text to entity-relation graph generator https://ift.tt/UsRDa39

Show HN: gpt-graph. A simple, GPT-3 text to entity-relation graph generator Hi HN! This is a simple text to entity-relation graph generator, powered by gpt-3 davinci model. The purpose is to feed it actual written data, to obtain a graph representation of entities and relationships mentioned in the text. Also, being able to identify entity attributes like gender, size, age ... My initial goal, was to make it able to process a large amount of text into a big single graph. The problem being the 4000 token limit the model has, I decided to take the approach of feeding the text in batches, and try to merge the incoming graph with the existing information each time. This is done by comparing the incoming node labels with those already in the graph, adding the new information to the existing nodes. This works somewhat, but sometimes entities get duplicated if they are mentioned slightly differently in the text. The comparation method could use some improvement clearly. A nice feature, is that you get to decide what types you want to extract. So if, for example, you are interested only in people, and companies in the text, you can tell the model to stick to that. You can also leave the types to the model discretion. Also, the application allows for saving / loading graphs to json files. These files can be used with Cytoscape Desktop Application, which is a nice side effect of using cytoscape.js. in the UI. I think tools like this can really be of help when going through dense documentation. To have a visual representation of the concepts, entities or whatever, can be really helpful in education, investigation, legal ... Would love to hear your thoughts on how this could be improved. https://ift.tt/VhwgvHl March 5, 2023 at 05:17AM

Show HN: Tiny Metasearch Engine to Find Software Developers https://ift.tt/O42u3e9

Show HN: Tiny Metasearch Engine to Find Software Developers https://ift.tt/pfvkJSQ March 5, 2023 at 04:54AM

Show HN: Cleodora – Predicting the Future with GraphQL https://ift.tt/7EkV9fC

Show HN: Cleodora – Predicting the Future with GraphQL Making, tracking and improving personal forecasts (e.g. the weather tomorrow or your salary in 2 years). https://ift.tt/Tynsxtk March 4, 2023 at 07:08PM

Show HN: Procal: A simple Qt-based programming calculator https://ift.tt/0gJ594w

Show HN: Procal: A simple Qt-based programming calculator https://ift.tt/BrhgMtE March 4, 2023 at 07:25PM

Show HN: Convert Quizes from Blackboard to Anki https://ift.tt/VzuEtG8

Show HN: Convert Quizes from Blackboard to Anki https://ift.tt/0JGW4gk March 4, 2023 at 02:22AM

Show HN: Community Building as a Service” https://ift.tt/ABmXi1t

Show HN: Community Building as a Service” Launched this week. Our team are experts in building online and offline communities from scratch. We've been helping our friends build this for free in the past. What we offer is best practices and resources for onboarding new members, moderating, and and growing online communities on Slack or Discord. We would love to get honest feedback and criticisms. https://ift.tt/5oKSz3s March 4, 2023 at 05:06AM

Show HN: Watch ChatGPT debate itself on a given topic https://ift.tt/bDETlKH

Show HN: Watch ChatGPT debate itself on a given topic https://opinionate.io/ March 4, 2023 at 05:03AM

Show HN: Zipslicer, a library for loading LLM checkpoints on consumer hardware https://ift.tt/FbhxcDR

Show HN: Zipslicer, a library for loading LLM checkpoints on consumer hardware This is a low-level opensource library I developed for my own use and decided to share, as it makes it possible to process large checkpoints of neural networks without renting high-RAM instances, on a regular PC. It replaces torch.load() with a custom function that produces a dictionary that materializes tensors on the fly. Compared to other solutions it doesn't require sharding or re-encoding checkpoints and uses them completely as-is. It is a foundation to make it possible to run inference and compress language models and other large models one layer at a time - in principle, even one tensor at a time. I describe the rationale and technical details of the library's design in the blogpost: https://ift.tt/9hlGH7f https://ift.tt/qgGUlEM March 4, 2023 at 12:59AM