NASA Pulls Off Delicate Thruster Swap, Keeping Voyager 1 Mission Alive (Score: 150+ in 9 hours)
Link: https://readhacker.news/s/6eqVS
Comments: https://readhacker.news/c/6eqVS
Large-Scale Generation of Transit Maps from OpenStreetMap Data (❄️ Score: 151+ in 2 days)
Link: https://readhacker.news/s/6efQa
Comments: https://readhacker.news/c/6efQa
Show HN: Konty – A Balsamiq-alternative lo-fi wireframe tool for modern apps (Score: 154+ in 4 hours)
Link: https://readhacker.news/s/6eqWA
Comments: https://readhacker.news/c/6eqWA
How we made Jupyter notebooks load faster (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6ejAL
Comments: https://readhacker.news/c/6ejAL
Feeld dating app – Your nudes and data were publicly available (Score: 154+ in 10 hours)
Link: https://readhacker.news/s/6eqnH
Comments: https://readhacker.news/c/6eqnH
Mistral releases Pixtral 12B, its first multimodal model (Score: 151+ in 9 hours)
Link: https://readhacker.news/s/6eq8r
Comments: https://readhacker.news/c/6eq8r
My business card runs Linux and Ultrix (2022) (Score: 150+ in 4 hours)
Link: https://readhacker.news/s/6eqFE
Comments: https://readhacker.news/c/6eqFE
Noisy neighbor detection with eBPF (Score: 152+ in 9 hours)
Link: https://readhacker.news/s/6epQW
Comments: https://readhacker.news/c/6epQW
The first release candidate of FreeCAD 1.0 is out (Score: 154+ in 5 hours)
Link: https://readhacker.news/s/6eqf7
Comments: https://readhacker.news/c/6eqf7
A MiniGolf game for Palm OS (🔥 Score: 151+ in 3 hours)
Link: https://readhacker.news/s/6eqci
Comments: https://readhacker.news/c/6eqci
Iron Mountain: It's Time to Talk About Hard Drives (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6ekNM
Comments: https://readhacker.news/c/6ekNM
Possibly all the ways to get loop-finding in graphs wrong (Score: 150+ in 12 hours)
Link: https://readhacker.news/s/6en6D
Comments: https://readhacker.news/c/6en6D
Show HN: Visual DB – Web front end for your database (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6ektv
Comments: https://readhacker.news/c/6ektv
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
Some of us like "interdiff" code review (Score: 150+ in 19 hours)
Link: https://readhacker.news/s/6em7u
Comments: https://readhacker.news/c/6em7u
How economical is your local Taco Bell? (Score: 152+ in 11 hours)
Link: https://readhacker.news/s/6emQv
Comments: https://readhacker.news/c/6emQv
A Uruguayan company teaches people how to turn regular cars into EVs (Score: 150+ in 19 hours)
Link: https://readhacker.news/s/6epvy
Comments: https://readhacker.news/c/6epvy
Show HN: Tune LLaMa3.1 on Google Cloud TPUs (Score: 150+ in 19 hours)
Link: https://readhacker.news/s/6epig
Comments: https://readhacker.news/c/6epig
Hey HN, we wanted to share our repo where we fine-tuned Llama 3.1 on Google TPUs. We’re building AI infra to fine-tune and serve LLMs on non-NVIDIA GPUs (TPUs, Trainium, AMD GPUs).
The problem: Right now, 90% of LLM workloads run on NVIDIA GPUs, but there are equally powerful and more cost-effective alternatives out there. For example, training and serving Llama 3.1 on Google TPUs is about 30% cheaper than NVIDIA GPUs.
But developer tooling for non-NVIDIA chipsets is lacking. We felt this pain ourselves. We initially tried using PyTorch XLA to train Llama 3.1 on TPUs, but it was rough: xla integration with pytorch is clunky, missing libraries (bitsandbytes didn't work), and cryptic HuggingFace errors.
We then took a different route and translated Llama 3.1 from PyTorch to JAX. Now, it’s running smoothly on TPUs! We still have challenges ahead, there is no good LoRA library in JAX, but this feels like the right path forward.
Here's a demo (https://dub.sh/felafax-demo) of our managed solution.
Would love your thoughts on our repo and vision as we keep chugging along!
Be a Thermostat, Not a Thermometer (Score: 151+ in 8 hours)
Link: https://readhacker.news/s/6eqCZ
Comments: https://readhacker.news/c/6eqCZ
Max Headroom and the World of Pseudo-CGI (2013) (Score: 150+ in 22 hours)
Link: https://readhacker.news/s/6enu8
Comments: https://readhacker.news/c/6enu8
Scientists use magnetic nanotech to safely rewarm frozen tissues for transplant (Score: 150+ in 16 hours)
Link: https://readhacker.news/s/6epes
Comments: https://readhacker.news/c/6epes
The Golden Road: How Ancient India Transformed the World (Score: 150+ in 1 day)
Link: https://readhacker.news/s/6en4X
Comments: https://readhacker.news/c/6en4X
Transparenttextures.com (❄️ Score: 151+ in 2 days)
Link: https://readhacker.news/s/6eghv
Comments: https://readhacker.news/c/6eghv
OpenSSH Keystroke Obfuscation Bypass (Score: 150+ in 21 hours)
Link: https://readhacker.news/s/6en9L
Comments: https://readhacker.news/c/6en9L
David Chang on the long, hard, stupid way (Score: 152+ in 9 hours)
Link: https://readhacker.news/s/6epjr
Comments: https://readhacker.news/c/6epjr
SQLite on Rails: The how and why of optimal performance (Score: 150+ in 5 hours)
Link: https://readhacker.news/s/6epMa
Comments: https://readhacker.news/c/6epMa
Microwave spontaneously turned on by its LED display (❄️ Score: 150+ in 3 days)
Link: https://readhacker.news/s/6ed4Y
Comments: https://readhacker.news/c/6ed4Y
AppleWatchAmmeter (Score: 155+ in 11 hours)
Link: https://readhacker.news/s/6endJ
Comments: https://readhacker.news/c/6endJ
Building the same app using various web frameworks (Score: 150+ in 15 hours)
Link: https://readhacker.news/s/6emKh
Comments: https://readhacker.news/c/6emKh
I wish I didn't miss the '90s-00s internet (Score: 151+ in 9 hours)
Link: https://readhacker.news/s/6emZ2
Comments: https://readhacker.news/c/6emZ2
Consent-O-Matic – automatically fills ubiquitous pop-ups with your preferences (❄️ Score: 151+ in 3 days)
Link: https://readhacker.news/s/6ed2c
Comments: https://readhacker.news/c/6ed2c