Basile

If anyone watched the new podcast of Lapierre, but Kevin Bieksa was on it and he was saying « the rumour » is that Montreal submitted a trade to the league a few minutes past the deadline, but it was rejected by the league because they went over. That means a deal was done.

@HKYJersey Crosby in Large

🚨TEAM CANADA JERSEY GIVEAWAY🚨 We are giving away an authentic #Bauer Team Canada 2026 Winter Olympics jersey of your choice w/ the player you want. 🇨🇦 To enter: 1. FOLLOW @HKYJersey 2. LIKE ❤️ & RT 🔄 this tweet. 3. Reply w/ your size & player 🍁

Yeah, we'd say this is pretty good. 🔵⚪️🔴

WHAT A SETUP BY DEMIDOV 🤩 The @CanadiensMTL take it in @Energizer OT!

@HKYJersey Large MacKinnon !!

🚨QUEBEC JERSEY GIVEAWAY🚨 We are giving away an authentic #Fanatics Premium Quebec Nordiques jersey of your choice w/ the player you want. ⚜️⚜️ To enter: 1. FOLLOW @HKYJersey 2. LIKE ❤️ & RT 🔄 this tweet. 3. Reply w/ your size & player

Sounds like a playoff game in October

COLE CAUFIELD ENDS IT WITH TWO SECONDS TO GO IN OVERTIME! 🚨 And that's @Energizer OT winners in back-to-back games for him!

COLE CAUFIELD TIES IT‼️ Lane Hutson with the save and the assist!

The full play: Hutson makes an UNREAL save with an empty net and feeds Caufield perfectly with the stretch pass 😮‍💨

@NVIDIAGeForce GeForce Day

🟢 GEFORCE DAY IS BACK 🟢 To celebrate, we're giving away TWO GeForce RTX 5080 Founders Edition GPUs, signed by NVIDIA CEO Jensen Huang. Want one? Comment "GeForce Day" for a chance to WIN & stay tuned for more!

that was definitely a top 5 "farewell marc-andre fleury" game, although next year's will probably be great too

Suzuki ➡️ Hutson ➡️ Caufield The Habs look ready for the regular season. 🔥

Nick Suzuki makes his Top 50 Players Right Now debut! @CanadiensMTL | #NHLTopPlayers

we are in for a few years of security nightmares

“yeah ive tested the code it’s all good to deploy to prod”

Lane Hutson showing up at 5am for an optional Habs practice next season and seeing Ivan Demidov already on the ice

drake said americans can’t out rap london rappers? man listen red rolls, white ceilin

I’m going to show you how *incredibly easy* it is to add some AI-magic to the search bar in your sites & apps in 2025 using @typesense. Say you’re building a cars site & you have a search bar on top. You have cars. Cars have attributes. You have well structured data like make, model, color, year, hp, mileage, etc. Cool. Along comes a user & types this into your search bar: “A black SUV with less than 30K miles in Houston for less than 20K”. ☠️🫣 If you’ve built any kind of search experience you probably know how hard it is to map free-form text like that to specific attributes in your dataset. Like how do you know that 20K is talking about cost, and black is talking about the overall color and not the color of the seats, and then account for the zillion other ways your users can write the same query? If you haven’t encountered this, let me tell you that it is HARD to use simple full-text search or even fancy semantic search or hybrid search to pull this off. Traditionally you’d have to train and build what’s called intent detection ML models to do this well. Ain’t nobody got time for that! 🤓 Enter @Typesense - an open source, cutting edge, light-weight alternative to Elasticsearch / Algolia. As of v29.0, it now has a built-in feature that cleverly uses the magic of LLMs, to parse your users’ queries, and convert them automatically into a set of filters and sorts, and then executes that query and returns results. So in our example “A black SUV with less than 30K miles in Houston for less than 20K” gets converted by Typesense automatically into this search query: Notice how the free-form user query was correctly mapped to the attributes and values in our cars dataset under the hood. It’s literally one API call to Typesense, to make this magic work: The curl request will return results like this: And you’d display those results in your UI. That’s it. What used to take teams of ML experts, is now one API call away. No PhD required. You now have an AI-powered search bar that’s ready for the most brazenly complicated user queries. How about this one: No problemo! That get's translated to: 🪄 ``` filter_by: "transmission_type:AUTOMATIC" ``` (Only 4 images per tweet, so only text for that one) Even though `transmission_type` only has - `Automatic` and - `Manual` across all records, Typesense is able to automatically convert the user’s intent in “I don’t know how to drive shift” to the fact that we should only show them vehicles with automatic transmission. Easy-peasy. Here’s a step-by-step guide on how to implement Natural Language Search in your own sites and apps: typesense.org/docs/29.0/api/…