Show HN: Online RPG Game with AI being dungeon master https://ift.tt/JsMhtw4

Show HN: Online RPG Game with AI being dungeon master Hi I've created a text-based RPG game in which you can experience different adventures and play interesting characters while the AI acts as a real time DM/story teller. There are multiple ways to interact with AI: 1) Input free will move 2) Input default move (affects resources) 3) Post a question to DM Also one more cool feature is that you can create your own adventure via simple form. Add scenes, add characters and make it public so other players are able to test it. I also plan to have 'competetive' side where players will pay some small fee to creators in crypto depending on community, and leaderboards can determine price pool reward distribution. But thats for future. Check it out and tell me what you think guys :) https://v3rpg.com https://ift.tt/pbM1zQY December 7, 2023 at 01:51AM

Show HN: Lume – automate data mappings using AI https://ift.tt/iWdfSnJ

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/HRDF4yz?... . 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 11:07PM

Show HN: Frogtab – Private, peaceful task management https://ift.tt/eVW9l2t

Show HN: Frogtab – Private, peaceful task management Hi HN! I'm excited to share the task manager that I've been building and relying on for the past 9 months I started developing Frogtab after a particularly busy period at work, where a large number of ad-hoc tasks would need my attention each day. What I Initially tried was a single (long!) checklist of outstanding tasks, but I found that too overwhelming to look at all day long. Then I tried scheduling tasks based on when I expected to complete them, but that also required too much cognitive load - I only had the capacity to bucket tasks into "today" and "not today" And so Frogtab was born. Originally as a Google doc, then later as a rudimentary web app with some simple automation. The automation was there to nudge me towards good habits, e.g., grouping all my outstanding tasks at the beginning of each day and requiring me to consciously choose which tasks to tackle that day. I subsequently refined the system a little, but the core mechanic has been serving me well ever since! More than the benefits I've gotten from using Frogtab at work, it's been really fun to develop Frogtab into a form that is usable - dare I say enjoyable - by other people too. Thanks to feedback from the awesome community at Bear (bearblog.dev) and also from sharing an early version here on HN, I've been able to make a whole host of improvements to Frogtab Highlights include: - Support for a weekly routine, aka recurring tasks - Data export and import, including auto-backup in supported browsers - Ability to receive tasks sent from any device - Dark theme - Keyboard shortcuts - Full docs at frogtab.com/help As I've been developing Frogtab, one of my primary concerns has been data privacy. Frogtab stores data in your bowser and doesn't require an account. Also, Frogtab does not use cookies, collect PII, serve ads, or track you in any way. It's entirely free to use and fully open source - the code is at github.com/dwilding/frogtab If you try Frogtab, I hope that you have a great experience! I would love to hear any feedback/suggestions, thank you :) https://frogtab.com/ December 6, 2023 at 04:27AM

Show HN: Solving NYT Connections with ChatGPT https://ift.tt/edM1NhF

Show HN: Solving NYT Connections with ChatGPT Just for fun I decided to see if I could use chatGPT to solve NYT Connections word puzzles. It uses a pretty straightforward BFS search in which the LLM is first prompted to generate several possible groupings of four related words, and then a different prompt is used to evaluate the soundness of each of those groupings. This approach seems to be able to produce the correct solution somewhat less than half the time. Some observations: * For whatever reason, chatGPT-4 seems to be a bit worse than 3.5 at generating Connections groupings. I haven’t tested systematically so maybe this is just some small sample size bias. But at the very least it isn’t obviously better * It really struggles with the “words that can fill in the blank” style groups. Often it will correctly come up with the right category (e.g. “words that can precede `cheese`”) but will only be able to identify 2 of 4 words in that grouping * It frequently generates very vague categories (“words that can be nouns”) despite nothing like that appearing in the proposal prompt. Also it will still sometimes score them highly, despite there being several explicitly examples in the value prompt disallowing these types of categories If you have any idea for how to improve this, please let me know (or send a PR)! https://ift.tt/Ir3yFLS December 6, 2023 at 01:41AM

Show HN: Open-Source JSON Schema Enforcer for LLMs https://ift.tt/4E38ZG9

Show HN: Open-Source JSON Schema Enforcer for LLMs https://ift.tt/L4SRvwM December 5, 2023 at 11:56PM

Show HN: Dropbase – Build internal web apps with just Python https://ift.tt/b85noGF

Show HN: Dropbase – Build internal web apps with just Python Hey HN, I’m Jimmy, co-founder of Dropbase ( https://www.dropbase.io ). We are an internal tools builder for Python developers. All you have to do is import any Python scripts/libraries, declare UI components, and layer app permissions so you can share them with others. We’re a middle ground between Airplane and Retool—simpler UI creation than Airplane, more code-centered than Retool. UI building is declarative and you can bind Python scripts/functions to UI components. You can write Python scripts/functions using our App Studio with support from a Python Language Server Protocol (LSP) for linting. Since the self-hosted worker directly references .py or .sql files in the filesystem, you can even write them on VSCode directly or import any other Python script or library. Our app layout is highly opinionated to speed up app building. Instead of an open canvas for UI building, we just give you a main table view and a widget sidebar. This approach significantly reduces app-building time while still covering what most tools need: see some data and take actions based on it. It’s not flexible enough to do absolutely anything, but that’s the point—there’s a tradeoff between flexibility and speed. Dropbase gives you most of what you need, plus speed! A neat feature we are experimenting with to build admin panels fast is “Smart Tables”. We convert any SQL SELECT statement (even across multiple joins and filters) into an inline editable table, like spreadsheets, without any additional code. We have a hybrid hosting model that combines a self-hosted client and a worker server, with a backend API for app/component definitions hosted by us to simplify pushing feature updates. The worker server sits in your machines so your sensitive data doesn’t leave your infra. We’re Python-centric for now, but plan to add support for Rust, Go, and others later. We made a few demo videos building common tools: - Customer approval tool: https://youtu.be/A1MIIRNkv3Q - Data editing tool (with Smart Table): https://youtu.be/R1cHO9lMRXo To try Dropbase, create an account at https://app.dropbase.io and generate a token, then follow these instructions for local setup: https://ift.tt/awNGC3u . We are very early so we're really excited to get your feedback, especially on our approach to tools building with Python! My co-founder Ayazhan and some of our teammates will be around to answer questions. https://ift.tt/BDNv5bq December 5, 2023 at 11:55PM

Show HN: Satounki – Self-hosted temporary elevated access management service https://ift.tt/nhOZ4We

Show HN: Satounki – Self-hosted temporary elevated access management service I was reading through the comments on this HN post last night[1] which inspired me to share this project here today. I've been working on Satounki since I got laid off last month. It's the culmination of a lot of experience building similar ad-hoc internal tooling at various places throughout my professional career. Satounki already includes: * AWS support * GCP support * Cloudflare support * Auto-generated Terraform providers from the Rust API * Auto-generated Typescript client wrapper from the Rust API * Slack bot for request notifications, approvals and rejections * CLI for requests, approvals and rejections * Dashboard for exploring policies, requests and stats The scope of this project is pretty big and I'm looking for contributors; if you know Rust, Go, Typescript, Nix, or even have an interest in them, take a look and see if this is something that you might like to work on! [1]: https://ift.tt/EPQrM9a https://ift.tt/MnVvgXG December 4, 2023 at 10:39PM