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Show HN: AI system 60x faster than ChatGPT – built by combat vet with no degree https://ift.tt/TaPCsfz

Show HN: AI system 60x faster than ChatGPT – built by combat vet with no degree I'm a combat veteran living paycheck to paycheck with no computer science degree. I built an AI system that benchmarks 60x faster than industry leaders. Real benchmarks (Dec 12, 2025): - 3.43ms response time (vs 50-200ms industry average) - 337 queries/second (vs 50-150) - 0% error rate, 100% uptime - Constitutional AI with 1,235 specialized "brains" Built it in 3 weeks. 4 U.S. patents pending. Full story + independent benchmarks: https://ift.tt/PAwRZjy Not asking for money. Just need technical validators to verify this is real. December 12, 2025 at 11:24PM

Show HN: Euporie-lite, Jupyter notebooks in terminal in the browser https://ift.tt/fj3kyrL

Show HN: Euporie-lite, Jupyter notebooks in terminal in the browser I modified my terminal Jupyter client, euporie [1], to run using pyodide in the browser. It's akin to JupyterLite, providing a temporary online Python notebook environment without the need to install any Python packages. It's potentially useful if you need to do a bit of quick interactive work in Python, but don't have the environment set up ready to do so. Since actual jupyter kernels can't run in pyodide (they run as subprocesses and communicate over ZMQ), it uses an in-process Python kernel which runs on the same interpreter as the application itself. Notebooks and files can be saved persistently to a local-storage based file system. It uses xterm.js as the terminal emulator (though I'm keen to test out ghostty-web). [1] https://ift.tt/cNDM4jG https://ift.tt/eL1URya December 13, 2025 at 12:00AM

Show HN: Dbxlite – Query 100M+ rows in a browser tab, no install https://ift.tt/lhwrgNm

Show HN: Dbxlite – Query 100M+ rows in a browser tab, no install What started as a Claude Code experiment turned into a browser-native SQL workbench I now use daily. Runs DuckDB WASM entirely in your browser. No backend, no installation, no signup. - Query local files (CSV, Parquet, Excel) – data never leaves your machine - Handles 100M+ rows, 50GB+ files in a browser tab - Full UI: Monaco editor, schema explorer, spreadsheet-style results grid - Share SQL via URL – anyone can run your query instantly - BigQuery connector built-in (Snowflake coming) v0.2 – actively developing. Feedback welcome. GitHub (MIT): https://ift.tt/CvTWmue https://ift.tt/9VunS8Z December 12, 2025 at 11:50PM

Show HN: A zero-to-hero, spaced-repetition guide to WebGL2 and GLSL https://ift.tt/QsiBfkI

Show HN: A zero-to-hero, spaced-repetition guide to WebGL2 and GLSL https://ift.tt/khEQVTb December 12, 2025 at 11:44PM

Show HN: DriftOS – Stop dumping chat history into LLM context windows https://ift.tt/E4QfFuk

Show HN: DriftOS – Stop dumping chat history into LLM context windows https://ift.tt/LwKgsrW December 12, 2025 at 12:16AM

Tap to Pay Ushers in a New Era of Flexibility on Muni

Tap to Pay Ushers in a New Era of Flexibility on Muni By Melissa Culross Muni vehicles and station fare gates now accept plastic. You can tap a credit or debit card at Clipper readers to pay. Paying your Muni fare is now even easier and more convenient. And it’s becoming less expensive to move throughout the entire Bay Area on public transit. The next generation of Clipper card service is here. Clipper is the electronic fare payment system that all Bay Area transit agencies use. And this upgrade includes a host of new features. Tap a credit card, debit card or your phone to pay your fare Enjoy free or discounted transfers between transit agencies Buy a wider... Published December 11, 2025 at 07:00AM https://ift.tt/xWsn4ke

Show HN: Serif – a zero-dependency, DataFrame for Python https://ift.tt/xF16VkD

Show HN: Serif – a zero-dependency, DataFrame for Python OP here. I built this library out of frustration with messy, day-to-day data: CSVs with duplicated columns, APIs returning nested JSON, Excel sheets, and various ad-hoc ETL requests. Tools like Polars and DuckDB are great for heavy analytical workloads, but sometimes I just want a lightweight, Pythonic table I can iterate over. I want the ability to for `row in table:` without surprising semantics. Serif takes a vector-first, zero-dependency approach aimed at everyday data tasks. https://ift.tt/bKLnj7R This is an early release, so I'm looking for feedback on ergonomics and places where the API is either missing features or could be simpler. https://ift.tt/bKLnj7R December 11, 2025 at 10:05PM