Monday, 30 September 2024
Donald Trump’s Absolutely Baffling Claim About ‘Phone Apps’ Raises New Questions
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Sunday, 29 September 2024
Multiple people struck by car, vehicle hits building on corner of busy Boston intersection
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Climate activists throw soup at Van Gogh’s Sunflowers again at London gallery
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Saturday, 28 September 2024
Missing Gwinnett County woman located after car found in Henry County
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Friday, 27 September 2024
Why is Utah so obsessed with ‘dirty sodas?’ It may be traced back to LDS health guidelines
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Thursday, 26 September 2024
Wednesday, 25 September 2024
I quit Amazon after I cracked the code for promotions. It took me 14 years to become a principal engineer — here's how.
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Tuesday, 24 September 2024
Man shoots wife while dropping off kids at a Wichita elementary school, sheriff says
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Monday, 23 September 2024
‘We have no health insurance’: My wife died, leaving behind a lot of medical debt. Am I responsible?
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New top story on Hacker News: Launch HN: Panora (YC S24) – Data Integration API for LLMs
Launch HN: Panora (YC S24) – Data Integration API for LLMs
7 by nael_ob | 0 comments on Hacker News.
Hey HN! We're Nael and Rachid, and we're building Panora ( https://ift.tt/C7K2Bpq ), an open-source API that connects various data sources to LLMs, from 3rd party integrations to embeddings and chunking generation. Here's a demo: https://www.youtube.com/watch?v=45QaN8mzAfg , and you can check our docs here: https://ift.tt/V0yZkXG Our GitHub repo is at https://ift.tt/C7K2Bpq . Building integrations by hand is tedious and time-consuming. You must adapt to API documentation quirks, manage request retries, OAuth/API key authorization, refresh tokens, rate limits, and data sync freshness. Moreover, you have to keep up with the constant rise of embedding models and chunking capabilities. On the other hand, with the rise of AI-powered apps, you have to handle embedding and chunking of all the unstructured data. The dominant player in this space is Merge.dev, but it has several drawbacks: 1. It's a black box for most developers, lacking transparency on data handling. 2. Strong vendor lock-in: once an end-user connects their software, it's challenging to access authorization tokens if you want to perform requests on their behalf after leaving Merge. 3. Long time-to-deploy for the long tail of integrations, leading to lost opportunities as integrations become the backbone of LLM-based applications. 4. Unrealistic prices per connection (action of one end-user connecting their tool). 5. Not positioned to serve LLM-based products that need RAG-ready data to power their use cases. That's how Panora was born. We set out to build a solution that addresses these pain points head-on, creating something that is both developer-friendly and open-source. Our goal was to simplify the complex world of integrations and data preparation for LLMs, allowing developers to focus on building great products rather than wrestling with integration headaches. Panora is 100% open-source under the Apache 2.0 license and you can either use our cloud version or self-host the product. We provide two ways for your end-users to connect their software seamlessly. 1. A frontend SDK (React) where you can embed the integrations catalog within your app. 2. A magic link that you can share with anyone allowing them to connect their software. You can either use your own OAuth clients or our managed ones. You receive a connection token per user and per provider connected, which you must use to retrieve/insert data using our universal API. We have different categories of software such as CRMs or File storage. Every category is divided into entities (e.g: File Storage has File, Folder, Drive, Group & User) following a standard data model. You even have access to remote data (non-transformed data from the provider) within each response, so you can build custom & complex integrations on your end. If the remote data isn't enough beyond the standard data model, you can create custom fields either via API or our dashboard to map your remote fields to our model. We're more than just integrations—we provide ready data for your RAG applications with auto-generation of embeddings and chunks for all your synced documents. You have the option to select your own vector database and embedding model in the dashboard. We then sync your documents and store the chunks/embeddings to the specified vector DB. We make sure to maintain up-to-date data that we send through webhooks, and you can set custom sync frequency (1hr, once a day, etc.) depending on your use case. Developers use our API to access fragmented data across various software such as File storage systems (Google Drive, OneDrive, SharePoint) and retrieve the embeddings of their documents using a single API. Our backend SDK is available for Python, TypeScript, Ruby, and Go. Your honest feedback, suggestions, and wishes would be very helpful. We'd love to hear about your integration stories, challenges you've faced with data integration for LLMs, and any thoughts on our approach. Thanks, HN!
7 by nael_ob | 0 comments on Hacker News.
Hey HN! We're Nael and Rachid, and we're building Panora ( https://ift.tt/C7K2Bpq ), an open-source API that connects various data sources to LLMs, from 3rd party integrations to embeddings and chunking generation. Here's a demo: https://www.youtube.com/watch?v=45QaN8mzAfg , and you can check our docs here: https://ift.tt/V0yZkXG Our GitHub repo is at https://ift.tt/C7K2Bpq . Building integrations by hand is tedious and time-consuming. You must adapt to API documentation quirks, manage request retries, OAuth/API key authorization, refresh tokens, rate limits, and data sync freshness. Moreover, you have to keep up with the constant rise of embedding models and chunking capabilities. On the other hand, with the rise of AI-powered apps, you have to handle embedding and chunking of all the unstructured data. The dominant player in this space is Merge.dev, but it has several drawbacks: 1. It's a black box for most developers, lacking transparency on data handling. 2. Strong vendor lock-in: once an end-user connects their software, it's challenging to access authorization tokens if you want to perform requests on their behalf after leaving Merge. 3. Long time-to-deploy for the long tail of integrations, leading to lost opportunities as integrations become the backbone of LLM-based applications. 4. Unrealistic prices per connection (action of one end-user connecting their tool). 5. Not positioned to serve LLM-based products that need RAG-ready data to power their use cases. That's how Panora was born. We set out to build a solution that addresses these pain points head-on, creating something that is both developer-friendly and open-source. Our goal was to simplify the complex world of integrations and data preparation for LLMs, allowing developers to focus on building great products rather than wrestling with integration headaches. Panora is 100% open-source under the Apache 2.0 license and you can either use our cloud version or self-host the product. We provide two ways for your end-users to connect their software seamlessly. 1. A frontend SDK (React) where you can embed the integrations catalog within your app. 2. A magic link that you can share with anyone allowing them to connect their software. You can either use your own OAuth clients or our managed ones. You receive a connection token per user and per provider connected, which you must use to retrieve/insert data using our universal API. We have different categories of software such as CRMs or File storage. Every category is divided into entities (e.g: File Storage has File, Folder, Drive, Group & User) following a standard data model. You even have access to remote data (non-transformed data from the provider) within each response, so you can build custom & complex integrations on your end. If the remote data isn't enough beyond the standard data model, you can create custom fields either via API or our dashboard to map your remote fields to our model. We're more than just integrations—we provide ready data for your RAG applications with auto-generation of embeddings and chunks for all your synced documents. You have the option to select your own vector database and embedding model in the dashboard. We then sync your documents and store the chunks/embeddings to the specified vector DB. We make sure to maintain up-to-date data that we send through webhooks, and you can set custom sync frequency (1hr, once a day, etc.) depending on your use case. Developers use our API to access fragmented data across various software such as File storage systems (Google Drive, OneDrive, SharePoint) and retrieve the embeddings of their documents using a single API. Our backend SDK is available for Python, TypeScript, Ruby, and Go. Your honest feedback, suggestions, and wishes would be very helpful. We'd love to hear about your integration stories, challenges you've faced with data integration for LLMs, and any thoughts on our approach. Thanks, HN!
Sunday, 22 September 2024
Saturday, 21 September 2024
Horry County Schools cancels football game over safety concerns. Here’s what we know
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Friday, 20 September 2024
Ninnekah School District shocked after $7.5 million settlement
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Thursday, 19 September 2024
The first iPhone 16 reviews are out. Here’s what people are saying
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New top story on Hacker News: Ask HN: What email service(s) do you use for your side projects?
Ask HN: What email service(s) do you use for your side projects?
13 by jtap | 19 comments on Hacker News.
I have a couple side projects that I use for my friends, family, and myself. I'd like to have both an email such as team@mysite.com to send and receive emails that I might want to type out. I'd also like to be able to send transactional emails, password reset ... I would think that I'm not the only one with this problem. What do you all use to achieve this?
13 by jtap | 19 comments on Hacker News.
I have a couple side projects that I use for my friends, family, and myself. I'd like to have both an email such as team@mysite.com to send and receive emails that I might want to type out. I'd also like to be able to send transactional emails, password reset ... I would think that I'm not the only one with this problem. What do you all use to achieve this?
Wednesday, 18 September 2024
California teacher accused of fathering student's child decades ago: 'Shocked, saddened'
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Tuesday, 17 September 2024
Monday, 16 September 2024
New top story on Hacker News: Ask HN: What runs L4-related microkernels/hypervisors these days?
Ask HN: What runs L4-related microkernels/hypervisors these days?
19 by AlexWandell | 5 comments on Hacker News.
I've been learning about the L4 microkernel, and am thinking about doing something related to it for a research project. I'm especially curious about more recent examples of specific devices that run L4 variants (seL4, PikeOS, OKL4, etc.). I already found a few that use seL4, but to take OKL4 as an example, most of the specific devices I could find are from more than a decade ago, and I'm trying to find things from at least the last 5 or 6 years. I'm even more curious to find devices that use a form of L4 as a hypervisor. Has anyone here worked on a device that used an L4-related kernel or hypervisor? I know one major area they're used in is defense and full of NDAs, but hopefully some of the other industries they're used in (medical devices, automotive, IoT) are a little less restrictive. Thanks in advance!
19 by AlexWandell | 5 comments on Hacker News.
I've been learning about the L4 microkernel, and am thinking about doing something related to it for a research project. I'm especially curious about more recent examples of specific devices that run L4 variants (seL4, PikeOS, OKL4, etc.). I already found a few that use seL4, but to take OKL4 as an example, most of the specific devices I could find are from more than a decade ago, and I'm trying to find things from at least the last 5 or 6 years. I'm even more curious to find devices that use a form of L4 as a hypervisor. Has anyone here worked on a device that used an L4-related kernel or hypervisor? I know one major area they're used in is defense and full of NDAs, but hopefully some of the other industries they're used in (medical devices, automotive, IoT) are a little less restrictive. Thanks in advance!
Sunday, 15 September 2024
Saturday, 14 September 2024
The Huawei Mate XT is a feat of engineering, but is a tri-fold phone necessary?
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Friday, 13 September 2024
US forces are going to help Japan get its destroyer-turned-aircraft carrier ready to fly F-35 stealth fighters
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Thursday, 12 September 2024
"I'm Going To Tell You A Story Of How I Killed A Patient..." — Doctors Are Confessing The Regrets That Still Haunt Them Today And They Are Crushing
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Wednesday, 11 September 2024
Tuesday, 10 September 2024
New top story on Hacker News: Show HN: Visual DB – Web front end for your database
Show HN: Visual DB – Web front end for your database
9 by visualdb | 6 comments on Hacker News.
If you have a cloud-hosted database, read on: Visual DB was designed for you. Visual DB is the fastest way to create data entry forms for your database: Starting with an Excel spreadsheet, you can import your data into the database and create a great-looking form in under 10 minutes. Watch this video: https://youtu.be/6rVD5rmrjN8 Visual DB is a comprehensive SaaS frontend for your database. In addition to data entry forms, Visual DB also has a spreadsheet-like interface for inserting and updating data in your database. You can also build interactive reports using Visual DB. Finally, although not intended as a replacement for your database's admin tool, Visual DB can browse schema, create tables, set up relationships, and import and export data. Visual DB began as a drag-and-drop form builder for databases. Forms created with Visual DB are practically indistinguishable from those hand-coded using React. You can add client-side validation, set available values (displayed in dropdowns), define default values, and even add logic to dynamically hide or disable fields—all without writing a single line of code! With Visual DB Forms, you’ll never have to write another CRUD app again. If you have been using Excel to manage data and running into its limits because the volume of data has grown, Visual DB Sheets may be of interest to you. With its spreadsheet-like interface, Visual DB Sheets allows users to interact with data as they would in Excel, while securely storing that data in a robust relational database. Spreadsheet-database hybrids have been around for a while now, but we believe we have one of the best implementations, with features such as advanced grouping, support for foreign keys and lookup tables, query parameters, full-text as-you-type filtering, and so on. The newest feature of Visual DB is interactive reporting. Traditional reporting tools offer limited interactivity. For example, while most reporting tools support time series charts, they do not allow users to zoom or pan along the time axis. In contrast, Visual DB supports this capability thanks to its innovative approach: it downloads the dataset to the client and processes and visualizes data directly in the browser. This allows it to handle user interactions without a server round trip. Visual DB has excellent support for query parameters, which allows you to bring only the subset of data that's of interest (up to 100K rows), to the client. Visual DB supports PostgreSQL (including Neon), MySQL, SQL Server and Oracle. Give it a whirl, and we look forward to getting your feedback: https://visualdb.com
9 by visualdb | 6 comments on Hacker News.
If you have a cloud-hosted database, read on: Visual DB was designed for you. Visual DB is the fastest way to create data entry forms for your database: Starting with an Excel spreadsheet, you can import your data into the database and create a great-looking form in under 10 minutes. Watch this video: https://youtu.be/6rVD5rmrjN8 Visual DB is a comprehensive SaaS frontend for your database. In addition to data entry forms, Visual DB also has a spreadsheet-like interface for inserting and updating data in your database. You can also build interactive reports using Visual DB. Finally, although not intended as a replacement for your database's admin tool, Visual DB can browse schema, create tables, set up relationships, and import and export data. Visual DB began as a drag-and-drop form builder for databases. Forms created with Visual DB are practically indistinguishable from those hand-coded using React. You can add client-side validation, set available values (displayed in dropdowns), define default values, and even add logic to dynamically hide or disable fields—all without writing a single line of code! With Visual DB Forms, you’ll never have to write another CRUD app again. If you have been using Excel to manage data and running into its limits because the volume of data has grown, Visual DB Sheets may be of interest to you. With its spreadsheet-like interface, Visual DB Sheets allows users to interact with data as they would in Excel, while securely storing that data in a robust relational database. Spreadsheet-database hybrids have been around for a while now, but we believe we have one of the best implementations, with features such as advanced grouping, support for foreign keys and lookup tables, query parameters, full-text as-you-type filtering, and so on. The newest feature of Visual DB is interactive reporting. Traditional reporting tools offer limited interactivity. For example, while most reporting tools support time series charts, they do not allow users to zoom or pan along the time axis. In contrast, Visual DB supports this capability thanks to its innovative approach: it downloads the dataset to the client and processes and visualizes data directly in the browser. This allows it to handle user interactions without a server round trip. Visual DB has excellent support for query parameters, which allows you to bring only the subset of data that's of interest (up to 100K rows), to the client. Visual DB supports PostgreSQL (including Neon), MySQL, SQL Server and Oracle. Give it a whirl, and we look forward to getting your feedback: https://visualdb.com
Monday, 9 September 2024
New top story on Hacker News: Ask HN: How do you manage your prompts in ChatGPT?
Ask HN: How do you manage your prompts in ChatGPT?
10 by nabi_nafio | 5 comments on Hacker News.
I use ChatGPT regularly for a lot of different tasks. For example, coding, health Q&A, and summarizing docs. The different prompts stack up in the sidebar which becomes very difficult to manage. For example, I frequently have to refer back to a prompt that I wrote previously. But I usually give up looking for it because of the tedious scroll and search process. I was wondering if there is an easier way. How do you manage your prompts in ChatGPT?
10 by nabi_nafio | 5 comments on Hacker News.
I use ChatGPT regularly for a lot of different tasks. For example, coding, health Q&A, and summarizing docs. The different prompts stack up in the sidebar which becomes very difficult to manage. For example, I frequently have to refer back to a prompt that I wrote previously. But I usually give up looking for it because of the tedious scroll and search process. I was wondering if there is an easier way. How do you manage your prompts in ChatGPT?
Sunday, 8 September 2024
Saturday, 7 September 2024
Final Hamas video of slain hostage Hersh Goldberg-Polin should be a 'wake-up call,' parents say
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Friday, 6 September 2024
Thursday, 5 September 2024
Wednesday, 4 September 2024
Tuesday, 3 September 2024
Pensacola family evicted from home with 15 minutes notice. Was it legal? New law says so.
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Monday, 2 September 2024
Sunday, 1 September 2024
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