Some of our favorite people in the open-source world have become EverMind Ambassadors: @li9292, @zstmfhy, @Synslius, @xiqingongzi, @Tz_2022 Open source has never been only about code. It’s built by people who care enough to contribute their time, energy, ideas, and passion, often simply because they believe in what a community can become. That spirit means everything to us. Our ambassadors aren’t defined by whether they write code. They contribute in some of the ways that matter most: organizing events, sharing thoughtful feedback, supporting users, running communities, connecting people, and helping ideas spread. That’s the kind of contribution that makes open source real. We’ve had the chance to work alongside truly generous and talented people, and we’re proud to be building more closely with them. With these ambassadors and the wider EverMind community, we’re excited about what we’ll build together, online and off.

Lexus has just officially unveiled their new all-electric three row SUV for the US, the Lexus TZ. • Range: Up to 300 miles • Two battery options: 77 kWh & 96 kWh • Peak charging speed: 150kW • 10-80% charge in 35 minutes • NACS charge port • Fake gear shifts with gas engine sounds through the speakers • 3,500 lb towing capacity • 0-60mph: 5.1s • Up to 420 hp • Quietest cabin among Lexus SUVs • Forged Bamboo interior trim sourced from Shikoku Island • Second-row captain’s chairs • Front passenger & second-row ventilated seats with power ottomans • One-touch folding second- and third-row seats • In-cabin fragrance • Full-screen navigation in digital gauge cluster • Six Japanese-inspired ambient lighting themes • 21-speaker audio system • Heated seats in all seating rows • Available Dynamic Rear Steering (up to 4 degrees rear-wheel steering) • 0.27 drag coefficient • Five regenerative braking levels adjustable via paddle shifters • Lexus-first 2-in-1 charging port with side-by-side AC/DC connectors • AC external power supply capability • Can't self-drive, but has driver assist features • Overall length: 200.8" • Wheelbase: 120.1 inches • Cargo capacity with rear seats up: 13.8 cubic feet • No frunk Vehicle goes on sales in the U.S. at the end of 2026. Pricing will be announced later. I've attached a lot more photos in the thread below:

You may have noticed it, Morpho is going after all fintechs, exchanges, banks and assets managers in the world. The demand is parabolic, especially in the US. So this is your reminder that we're searching for Solution Architects on the US TZ (we have an office in NY btw).

# Elasticsearch Features and Practical Usage 🔎 Write search, transform, and aggregate in a single pipe. SQL-like and easy to learn, ES|QL is Elastic's next-generation query language. 🏷️ Title: ES|QL (Piped Query Language) 🔗 URL: 📘 Overview ES|QL is Elastic's query language for querying, aggregating, visualizing, and even alerting on your data end to end. Like Unix pipes, you chain commands with `|` to progressively filter, transform, and aggregate data. You can run ad hoc analysis without writing the verbose JSON aggregation DSL. ⚙️ How It Works Every query starts with a source command, then chains processing commands via pipes. ・`FROM` selects indices/data streams (there is also `TS` for time series) ・`WHERE` filters rows ・`STATS ... BY` aggregates with grouping ・`EVAL` creates derived columns, `SORT` orders, `LIMIT` caps rows ・`KEEP`/`DROP`/`RENAME` control output columns ・`DISSECT`/`GROK` parse unstructured text ・`LOOKUP JOIN` joins lookup data, `ENRICH` applies enrich policies Commands and functions are case-insensitive (`FROM`, `from`, and `From` are equivalent). 🛠️ Practical Usage For incident investigation, you can express search-to-aggregation in one statement: `FROM logs-* | WHERE status >= 500 | STATS count = COUNT(*) BY BUCKET(@timestamp, 5m) | SORT count DESC` The Kibana editor offers autocomplete, inline suggestions, a Prettify button for auto-formatting, and a footer showing run statistics such as documents processed. The same ES|QL works across Discover, dashboard panels, alerting rules, and Elastic Security. Query history and starred queries let you reuse your go-to investigations. 💡 Use Cases ・Ad hoc log analysis for SREs (error rates by service and time bucket) ・ES|QL visualization panels on dashboards ・Detection rules and alert conditions in security ・Operational analytics joining a service name to a team via `LOOKUP JOIN` ⚠️ Caveats ・Querying many indices without filters can produce oversized responses; use `KEEP`/`DROP` to limit columns. ・Inside Kibana, handle time zones via the `dateFormat:tz` advanced setting, not `SET time_zone`. ・Natural-language query generation requires an Enterprise license and a configured connector. ・References to unmapped fields fail by default, so be careful. #Elasticsearch# #ESQL#