Show HN: NeuralFlow – Visualize the intermediate output of Mistral 7B https://ift.tt/bAjBQaf

Show HN: NeuralFlow – Visualize the intermediate output of Mistral 7B https://ift.tt/TDWBs9y February 15, 2024 at 08:59AM

Show HN: Gitlab Meeting Simulator 2024 https://ift.tt/NOGEm4v

Show HN: Gitlab Meeting Simulator 2024 Gitlab's meeting recordings on YouTube have tens of thousands of views by people pretending to work. Now you can appear to be in the meeting using your own webcam. https://ift.tt/FltGCJT February 15, 2024 at 05:52AM

Show HN: Natural Language to SQL "Text-to-SQL" API https://ift.tt/BUmoM0A

Show HN: Natural Language to SQL "Text-to-SQL" API Hi HN- Today, we are releasing the hosted API for our natural language to SQL engine, which allows you to: (1) Explain Your Data: Feed in dictionaries, dbt, schemas, Confluence docs - we'll understand the business context to your data. (2) Train Your AI: Fine-tune an LLM (including GPT-4) specifically for your data, increasing accuracy and lowering latency (3) Trust the Answer: See confidence scores with each AI-generated query, stay in control. (4) Conduct complex SQL queries Problem background - Developers struggle to build NL-to-SQL into products because LLMs do not work out-of-the-box; they lack metadata and business definitions. Existing NL-to-SQL tools struggle with context, complexity, and adapting to your data. For example, given the question “what was the average rent in Los Angeles in May 2023?” a reasonable human would either assume the question is about Los Angeles, CA or would confirm the state with the question asker in a follow up. However, an LLM translates this to: select price from rent_prices where city=”Los Angeles” AND month=”05” AND year=”2023” Dataherald integrates with major data warehouses, including PostgreSQL, Databricks, Snowflake, BigQuery, and DuckDB. You can try it now free – no fees, no credit card, no sales pitches, just get the API key and get going. Let us know if it works for you, even your complex queries. ( https://ift.tt/ajgMsqf ) While the open source version works just fine ( https://ift.tt/Yy2s9PF ), the hosted API might be a better fit for those looking for: (1) someone else to take care of infrastructure setup, (2) access to an Admin UI console where you can configure and monitor performance, and (3) ability to invite team members to a project. We're looking for feedback, particularly from anyone who can compare this performance to other NL-to-SQL products. Share your thoughts and join the conversation For more background on the release: https://ift.tt/kvt2p3i https://ift.tt/ajgMsqf February 15, 2024 at 12:33AM

Show HN: FoldMation – Interactive origami learning and creation https://ift.tt/XTpkD7c

Show HN: FoldMation – Interactive origami learning and creation Hi, I've created an application where you can follow step by step origami fold instructions, and a Creator where you can make these interactive folds. On comparing to video instructions, you have the ability to quickly skip/rewind steps and replay a complicated step many times. On the creation side, there have been one or two attempts at this before, but those solutions rely on mouse drags as the user interface. This greatly limited the kinds of folds possible. The foldMation Creator uses commands, keywords and values to compose a domain specific language/step and provides a (relatively speaking) easy to use user interface to compose the steps. For those interested in using the Creator, please go through the tutorial at the top of the create page. Btw, the DSL for foldMation uses https://ift.tt/WRbmpae . I created it since I couldn't find anything out there that is similar, allowing me to specify a well structured data with English-like readable syntax. Let me know what you think? https://foldmation.com February 15, 2024 at 12:38AM

Show HN: Event finding map-based platform https://ift.tt/BZy3FAM

Show HN: Event finding map-based platform Hello there, We're trying to develop a map-based event-finding platform for people to explore nearby events. On the following URL u can find our MVP: https://wiwo.world/map . The thing is, we are not sure how to find early adopters. We have lots of ideas how to develop the platform, but would like to do it with active feedback from the users. Some of the feature ideas that we have: - Build-in resell marketplace for tickets for people who cannot attend an events - Users' own event facilitation - Events live streaming and PPV - Community building (go together with friends or have no friends to go with and you search people through the platform to go with) - Our own build-in navigation system to the events - Personalized notifications/newsletter for events like the ones you have attended or added in favorites - VR/AR event attending Thanks in advance to those who will check out our platform! :) Best Regards, Kalo https://www.wiwo.world/ February 14, 2024 at 05:18AM

Show HN: Linen.team – A lightweight, thread-first Slack alternative https://ift.tt/P38ieya

Show HN: Linen.team – A lightweight, thread-first Slack alternative Hi HN! I'm Kam, the founder and one of the authors of Linen. Today, we are launching Linen.team ( https://linen.team/ ), a lightweight threaded messaging app for your team. Modern workplace messaging apps (like Slack) are based on IRC, which is great for small groups, but as it scales, breaks down quickly: you either get overwhelmed by notifications or you have to turn them all off. Most chat apps have threads tacked on but aren't built from the ground up with this design in mind. We wanted to create a thread-first experience where you can organize and prioritize conversations so that you are not reliant on notifications to make sure you don’t miss anything. In apps like Slack, you have to check activities, channels, threads, and replies just to make sure you aren't missing anything important. We designed every message in Linen to belong to a thread, so it makes it easy to centralize everything in a single location. We let you select which channels you subscribe to from your inbox. This way, your inbox only has the important channels. This makes it easy to keep track of conversations without having to rely on notifications to make sure you don’t miss anything. We also wanted a better way to separate urgent vs. non-urgent communication. In Linen, we have introduced the concept of a !mention that is designed for urgent/time-sensitive messages. A !mention will send a push notification, whereas an @mention will show up in the person’s inbox. This allows us to encourage more async conversations and reduce the need for the number of push notifications. We also designed the mention system closely with the inbox so that even if you aren’t subscribed to channels, mentions will still appear in your inbox. This is great for joining partner teams where you don’t need to view every conversation but do need to respond when you are mentioned. We believe that most messaging apps are secretly to-do lists in disguise; you have to read, respond, or do some task when you receive a thread. We wanted to give you the ability to manage threads individually. We let you mark each thread as done, which hides them from your inbox and is useful to keep track of tasks. You also can set reminders and mute threads with one click/key. With these features, we make it easy to get to a zero inbox state. This combined with the inbox makes it easy for you to keep track of conversations and make sure you don’t miss anything. Linen is designed for power users. We love keyboard shortcuts and want an experience that is keyboard-first. For many, the messaging app is the app that is used the most. We believe that you should be able to use Linen for an entire day without touching the mouse. We’ve added modern features like CMD+K for navigation. We’ve designed Linen to be fast and lightweight. Our gzipped bundle size is 400KB, so it's fast on first load, and we’ve introduced multiple layers of caching to make sure things are fast on subsequent loads. We’ve been working hard on this app for the past 6 months, so there are still gaps in the platform. But we’re also very excited about the direction we can take. Our focus is on what a modern message platform built in 2024 should look like and what lessons we can take from the previous decades of IRC and messaging apps. If our message resonates with you, we would love for you to give us a try at https://ift.tt/1yJqItc , where you can join our public community and come say hi! February 13, 2024 at 08:01PM

Show HN: The Namingless Programming Language https://ift.tt/mjeiB2O

Show HN: The Namingless Programming Language A programming language that avoids naming at all costs. Data structures don't have names since there is only one data structure and there is no point naming it other than 'the data structure'. There is only one operation, so also unnamed. Even the language itself doesn't have a name. "The namingless programming language" is a definition. But the most cool feature is that when you write a script, you don't have to give the file a name either. The file name itself becomes the code. The file body is the executable interpreter. Is it beautiful? No. Is it practical? Hell no. Is it fun? More than you'd think it would be. https://ift.tt/QiEnFot February 14, 2024 at 01:38AM