The best Hacker News stories from Show from the past day
Latest posts:
Show HN: Appamor.d – Full set of AppArmor profiles (~ 1500 profiles)
Show HN: Appamor.d – Full set of AppArmor profiles (~ 1500 profiles)
Show HN: I made a binary enigma machine for manual encryption
Introducing the 3D Printed Binary Enigma (10 Enigma) – the ultimate encryption and decryption device, no batteries required!
Inspired by the iconic Enigma machines of WWII, this sleek and intuitive device lets you encode and decode messages “effortlessly”.<p>Or how else are we going to send secure messages in the future?
Show HN: I made a binary enigma machine for manual encryption
Introducing the 3D Printed Binary Enigma (10 Enigma) – the ultimate encryption and decryption device, no batteries required!
Inspired by the iconic Enigma machines of WWII, this sleek and intuitive device lets you encode and decode messages “effortlessly”.<p>Or how else are we going to send secure messages in the future?
Show HN: I made a binary enigma machine for manual encryption
Introducing the 3D Printed Binary Enigma (10 Enigma) – the ultimate encryption and decryption device, no batteries required!
Inspired by the iconic Enigma machines of WWII, this sleek and intuitive device lets you encode and decode messages “effortlessly”.<p>Or how else are we going to send secure messages in the future?
Show HN: A (marginally) useful x86-64 ELF executable in 466 bytes
Show HN: A (marginally) useful x86-64 ELF executable in 466 bytes
Show HN: A (marginally) useful x86-64 ELF executable in 466 bytes
Show HN: A (marginally) useful x86-64 ELF executable in 466 bytes
Show HN: I taught ChatGPT to find cool domain names – with availability check
Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source
Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake.<p>Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the <a href="https://spice.ai" rel="nofollow">https://spice.ai</a> cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and combining data from many sources, trade-offs between OLTP/OLAP compute engines, and managing datasets as code.<p>Today, we’re re-launching Spice, completely rebuilt from the ground up, to directly solve several of the problems we had in accessing data quickly and cost-effectively providing it to applications, dashboards, and machine learning. Spice provides federated SQL query across databases (MySQL, PostgreSQL, etc.), data warehouses (Snowflake, BigQuery, etc.) and data lakes (S3, MinIO, Databricks, etc.) with the ability to materialize remote datasets locally using in-memory Arrow, DuckDB, SQLite, or PostgreSQL. Accelerated engines run in your infrastructure giving you flexibility and control over price and performance.<p>You can read the full announcement blog post at <a href="https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-next-generation-of-spice.ai-oss/" rel="nofollow">https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-n...</a>.<p>We’d appreciate it if you check Spice out, give us feedback, and if you'd like to contribute, we'd love to build with you.<p>Thanks!<p>GitHub: <a href="https://github.com/spiceai/spiceai">https://github.com/spiceai/spiceai</a>
Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source
Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake.<p>Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the <a href="https://spice.ai" rel="nofollow">https://spice.ai</a> cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and combining data from many sources, trade-offs between OLTP/OLAP compute engines, and managing datasets as code.<p>Today, we’re re-launching Spice, completely rebuilt from the ground up, to directly solve several of the problems we had in accessing data quickly and cost-effectively providing it to applications, dashboards, and machine learning. Spice provides federated SQL query across databases (MySQL, PostgreSQL, etc.), data warehouses (Snowflake, BigQuery, etc.) and data lakes (S3, MinIO, Databricks, etc.) with the ability to materialize remote datasets locally using in-memory Arrow, DuckDB, SQLite, or PostgreSQL. Accelerated engines run in your infrastructure giving you flexibility and control over price and performance.<p>You can read the full announcement blog post at <a href="https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-next-generation-of-spice.ai-oss/" rel="nofollow">https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-n...</a>.<p>We’d appreciate it if you check Spice out, give us feedback, and if you'd like to contribute, we'd love to build with you.<p>Thanks!<p>GitHub: <a href="https://github.com/spiceai/spiceai">https://github.com/spiceai/spiceai</a>
Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source
Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake.<p>Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the <a href="https://spice.ai" rel="nofollow">https://spice.ai</a> cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and combining data from many sources, trade-offs between OLTP/OLAP compute engines, and managing datasets as code.<p>Today, we’re re-launching Spice, completely rebuilt from the ground up, to directly solve several of the problems we had in accessing data quickly and cost-effectively providing it to applications, dashboards, and machine learning. Spice provides federated SQL query across databases (MySQL, PostgreSQL, etc.), data warehouses (Snowflake, BigQuery, etc.) and data lakes (S3, MinIO, Databricks, etc.) with the ability to materialize remote datasets locally using in-memory Arrow, DuckDB, SQLite, or PostgreSQL. Accelerated engines run in your infrastructure giving you flexibility and control over price and performance.<p>You can read the full announcement blog post at <a href="https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-next-generation-of-spice.ai-oss/" rel="nofollow">https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-n...</a>.<p>We’d appreciate it if you check Spice out, give us feedback, and if you'd like to contribute, we'd love to build with you.<p>Thanks!<p>GitHub: <a href="https://github.com/spiceai/spiceai">https://github.com/spiceai/spiceai</a>
Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source
Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake.<p>Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the <a href="https://spice.ai" rel="nofollow">https://spice.ai</a> cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and combining data from many sources, trade-offs between OLTP/OLAP compute engines, and managing datasets as code.<p>Today, we’re re-launching Spice, completely rebuilt from the ground up, to directly solve several of the problems we had in accessing data quickly and cost-effectively providing it to applications, dashboards, and machine learning. Spice provides federated SQL query across databases (MySQL, PostgreSQL, etc.), data warehouses (Snowflake, BigQuery, etc.) and data lakes (S3, MinIO, Databricks, etc.) with the ability to materialize remote datasets locally using in-memory Arrow, DuckDB, SQLite, or PostgreSQL. Accelerated engines run in your infrastructure giving you flexibility and control over price and performance.<p>You can read the full announcement blog post at <a href="https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-next-generation-of-spice.ai-oss/" rel="nofollow">https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-n...</a>.<p>We’d appreciate it if you check Spice out, give us feedback, and if you'd like to contribute, we'd love to build with you.<p>Thanks!<p>GitHub: <a href="https://github.com/spiceai/spiceai">https://github.com/spiceai/spiceai</a>
Show HN: Spice.ai – materialize, accelerate, and query SQL data from any source
Hi HN, We're Luke and Phillip, and we're building Spice.ai OSS - a lightweight, portable runtime, built in Rust and powered by Apache DataFusion to locally materialize, accelerate, and query data tables sourced from any database, data warehouse or data lake.<p>Phillip and I first introduced Spice on Show HN in September 2021. Since then, we’ve been schooled and humbled in every way building 100TB+ data and ML systems for the <a href="https://spice.ai" rel="nofollow">https://spice.ai</a> cloud platform. Along with our customers, we struggled with getting fast, low-latency, high-concurrency SQL query within a budget, accessing and combining data from many sources, trade-offs between OLTP/OLAP compute engines, and managing datasets as code.<p>Today, we’re re-launching Spice, completely rebuilt from the ground up, to directly solve several of the problems we had in accessing data quickly and cost-effectively providing it to applications, dashboards, and machine learning. Spice provides federated SQL query across databases (MySQL, PostgreSQL, etc.), data warehouses (Snowflake, BigQuery, etc.) and data lakes (S3, MinIO, Databricks, etc.) with the ability to materialize remote datasets locally using in-memory Arrow, DuckDB, SQLite, or PostgreSQL. Accelerated engines run in your infrastructure giving you flexibility and control over price and performance.<p>You can read the full announcement blog post at <a href="https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-next-generation-of-spice.ai-oss/" rel="nofollow">https://blog.spiceai.org/posts/2024/03/28/adding-spice-the-n...</a>.<p>We’d appreciate it if you check Spice out, give us feedback, and if you'd like to contribute, we'd love to build with you.<p>Thanks!<p>GitHub: <a href="https://github.com/spiceai/spiceai">https://github.com/spiceai/spiceai</a>
Show HN: I built a web app to open source travel itineraries
I made TripGeeks, a website where you create and share travel itineraries. Would love to hear any feedback you might have.<p>Thanks!
Show HN: I built a web app to open source travel itineraries
I made TripGeeks, a website where you create and share travel itineraries. Would love to hear any feedback you might have.<p>Thanks!
Show HN: I built a web app to open source travel itineraries
I made TripGeeks, a website where you create and share travel itineraries. Would love to hear any feedback you might have.<p>Thanks!
Show HN: I built a web app to open source travel itineraries
I made TripGeeks, a website where you create and share travel itineraries. Would love to hear any feedback you might have.<p>Thanks!
Show HN: I built a web app to open source travel itineraries
I made TripGeeks, a website where you create and share travel itineraries. Would love to hear any feedback you might have.<p>Thanks!