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This random twink that works at Google has added a pop-up when you search ADÉLA on their search engine. — It reads “Can’t always be LA. someone’s gotta hold it down HERE 🩷”

ADÉLA Access

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15,992 次观看 • 3 天前 •via X (Twitter)

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ADÉLA serves Slavic cunt in new TikTok: “can’t always be LA, someone has to hold it down in Bratislava, Slovakia”

ADÉLA serves Slavic cunt in new TikTok: “can’t always be LA, someone has to hold it down in Bratislava, Slovakia”

ADÉLA Access

60,726 次观看 • 1 个月前

if you go on google right now and search up "Jimothy" an animated Jimothy will pop up and run across the screen try it yourself!

if you go on google right now and search up "Jimothy" an animated Jimothy will pop up and run across the screen try it yourself!

Jack Duval🌊

110,682 次观看 • 1 个月前

Well this is awesome. Google has “Welcome to Miami” when you search up Giannis Antetokounmpo. The brand is at an all-time high.

The HEAT Realm

49,456 次观看 • 2 个月前

Did you know? Google Search has a hidden Kanto Pokémon game. Open Google on mobile, log into your Google Account, and search for any of the original 151 Pokémon like Pikachu, Charmander, Bulbasaur or Squirtle. Then tap the Pokéball icon in the bottom right corner to catch it and start building your own digital Pokédex. Gotta search ’em all.

Did you know? Google Search has a hidden Kanto Pokémon game. Open Google on mobile, log into your Google Account, and search for any of the original 151 Pokémon like Pikachu, Charmander, Bulbasaur or Squirtle. Then tap the Pokéball icon in the bottom right corner to catch it and start building your own digital Pokédex. Gotta search ’em all.

Rarible

11,649 次观看 • 1 个月前

this is wild! so new apple apps pop up in search in the full name when you start to type them but if you click the suggestion, it will be buried under 10 other apps.. however if i just search my app “lovelee” without full keyword match it pops up instant. see what i mean:

this is wild! so new apple apps pop up in search in the full name when you start to type them but if you click the suggestion, it will be buried under 10 other apps.. however if i just search my app “lovelee” without full keyword match it pops up instant. see what i mean:

jack friks

118,958 次观看 • 10 个月前

You may have noticed that search on the Visual Studio Code website has gotten a lot quicker lately. In our latest blogpost, João Moreno breaks down the engineering process behind docfind, a search engine we built that runs entirely in your browser using WebAssembly:

You may have noticed that search on the Visual Studio Code website has gotten a lot quicker lately. In our latest blogpost, João Moreno breaks down the engineering process behind docfind, a search engine we built that runs entirely in your browser using WebAssembly:

Visual Studio Code

73,479 次观看 • 7 个月前

When you google Sabastian Sawe’s name, a banner pops up that reads “nothing is impossible; everything is possible” and then his record marathon time of 1:59:30. Google Yomif Kejelcha and it reads “Sub-2 on debut?! 🤯 1:59:41.” Shoutout to the Google PM who made this happen.

When you google Sabastian Sawe’s name, a banner pops up that reads “nothing is impossible; everything is possible” and then his record marathon time of 1:59:30. Google Yomif Kejelcha and it reads “Sub-2 on debut?! 🤯 1:59:41.” Shoutout to the Google PM who made this happen.

Trung Phan

16,735 次观看 • 4 个月前

This interface is a little "hidden" but you can access it easily. First, check that you have access to Google Search's AI functions. 1. Go to labs .google 2. Click on "Get started" in the Google Search category 3. Activate "SGE generative AI in Search" Next, write a prompt like I already showed you to draw an image in Google. Example: “draw a submarine in the sky” Once your images are generated, click on one then “Edit”.

This interface is a little "hidden" but you can access it easily. First, check that you have access to Google Search's AI functions. 1. Go to labs .google 2. Click on "Get started" in the Google Search category 3. Activate "SGE generative AI in Search" Next, write a prompt like I already showed you to draw an image in Google. Example: “draw a submarine in the sky” Once your images are generated, click on one then “Edit”.

Paul Couvert

127,585 次观看 • 2 年前

I’ve been on the search for ideas to help my kiddos who can’t hula hoop and came up with this! It’s not perfect but it works. All you need is a few small hula hoops, ropes of some kind, and clip for the back. #adaptedpe

I’ve been on the search for ideas to help my kiddos who can’t hula hoop and came up with this! It’s not perfect but it works. All you need is a few small hula hoops, ropes of some kind, and clip for the back. #adaptedpe

Kiersten Penrod

12,442 次观看 • 2 年前

this Hermes agent finds business owners asking for help on Facebook and builds each one exactly what they asked for, on autopilot... Facebook is a goldmine, one google search string surfaces every owner asking for it. here's how agencies & freelancers can land clients: - watches facebook for owners asking for help, any phrasing - one google search string pulls every match, city by city - reads what that owner actually needs, then sources it - grabs their real photos + brand straight off their page - builds exactly that: a video, creatives, or a website - sends the finished build back before a competitor replies every step from facebook post to finished build is automated. reply "AGENT" + RT and i'll send you the full breakdown so you can build this too (must be following so i can DM)

Chris

38,325 次观看 • 2 个月前

Woow Google has just rolled out the AI model Flash Thinking 2.0 This is the first reasoning model capable of accessing YouTube and it changes everything: - Search for a video on your topic - Ask Gemini to think about the video - You'll have a tailor-made result in 10 sec. And it's even connected to Google Search and Maps!

Woow Google has just rolled out the AI model Flash Thinking 2.0 This is the first reasoning model capable of accessing YouTube and it changes everything: - Search for a video on your topic - Ask Gemini to think about the video - You'll have a tailor-made result in 10 sec. And it's even connected to Google Search and Maps!

Paul Couvert

79,489 次观看 • 1 年前

Answer any❓with a ⭕️ Launching January 31st on #Pixel8 and Pixel 8 Pro, Circle to Search is a new way to search anything without switching apps. Just draw a circle around an image, text, or video, and Google AI finds it, so you can round up answers fast:

Answer any❓with a ⭕️ Launching January 31st on #Pixel8 and Pixel 8 Pro, Circle to Search is a new way to search anything without switching apps. Just draw a circle around an image, text, or video, and Google AI finds it, so you can round up answers fast:

Made by Google

355,640 次观看 • 2 年前

JUST GROK IT—GOOGLE MAKES YOU WORK TOO HARD Google sends you on a scavenger hunt—Grok hands you the answer, straight up! •⁠ ⁠No clutter – Skip the endless search results. •⁠ ⁠No fluff – Straight-up answers, no keyword gymnastics. •⁠ ⁠No lag – Instant, real-time responses—because patience is overrated. •⁠ ⁠No spam – No clickbait, no nonsense—just what you need. Grok is the future of search! Source: Elon Musk

JUST GROK IT—GOOGLE MAKES YOU WORK TOO HARD Google sends you on a scavenger hunt—Grok hands you the answer, straight up! •⁠ ⁠No clutter – Skip the endless search results. •⁠ ⁠No fluff – Straight-up answers, no keyword gymnastics. •⁠ ⁠No lag – Instant, real-time responses—because patience is overrated. •⁠ ⁠No spam – No clickbait, no nonsense—just what you need. Grok is the future of search! Source: Elon Musk

Mario Nawfal

349,528 次观看 • 1 年前

iMessage search is still broken in 2025. So I fixed it myself. It doesn't even work most of the time. When it does, it's slow, misses messages constantly, and only matches exact words. Search "dinner" and you won't find "let's grab food." iMessage Intelligence fixes all of this while also being insanely fast. Here's how it works: → Full text search index on your messages for keyword matching → On-device ML (MiniLM via CoreML) generates semantic embeddings. Your Mac generates these embeddings in under a minute, then syncs to your phone → sqlite-vec stores vectors locally for similarity search → Hybrid results: keyword hits appear in <10ms, semantic matches merge in <60ms It also has advanced filters iMessage doesn't have: sort options, date ranges, conversation filters, sent vs received, groups vs 1-on-1. Search runs 100% on-device. No cloud processing. Sign up for the waitlist:

iMessage search is still broken in 2025. So I fixed it myself. It doesn't even work most of the time. When it does, it's slow, misses messages constantly, and only matches exact words. Search "dinner" and you won't find "let's grab food." iMessage Intelligence fixes all of this while also being insanely fast. Here's how it works: → Full text search index on your messages for keyword matching → On-device ML (MiniLM via CoreML) generates semantic embeddings. Your Mac generates these embeddings in under a minute, then syncs to your phone → sqlite-vec stores vectors locally for similarity search → Hybrid results: keyword hits appear in <10ms, semantic matches merge in <60ms It also has advanced filters iMessage doesn't have: sort options, date ranges, conversation filters, sent vs received, groups vs 1-on-1. Search runs 100% on-device. No cloud processing. Sign up for the waitlist:

Seif Abdelaziz

97,261 次观看 • 9 个月前

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

Big moment for Postgres! Search has always been Postgres' weak spot, and everyone just accepted it. If you needed a real relevance-ranked keyword search, the default answer was to spin up Elasticsearch or add Algolia and deal with the data sync headaches forever. The problem isn't that Postgres can't do text search. It can. But the built-in `ts_rank` function uses a basic term frequency algorithm that doesn't come close to what modern search engines deliver. So teams end up: - Running a separate Elasticsearch cluster just for search - Building sync pipelines that inevitably drift out of consistency - Paying for managed search services that charge per query - Accepting mediocre search relevance because "good enough" ships faster But this is actually a solvable problem. You can realistically bring industry-standard search ranking directly into Postgres, which eliminates the need for external infra entirely. This exact solution is now available with the newly open-sourced pg_textsearch by Tiger Data - Creators of TimescaleDB, a Postgres extension that brings true BM25 relevance ranking into the database. BM25 is the algorithm behind Elasticsearch, Lucene, and most modern search engines. Now it runs natively in Postgres. Here's what pg_textsearch enables: - True BM25 ranking with configurable parameters (the same algorithm powering production search systems) - Simple SQL syntax: `ORDER BY content 'search terms'` - Works with Postgres text search configurations for multiple languages - Pairs naturally with pgvector for hybrid keyword + semantic search That last point matters a lot for RAG apps. The video below shows this in action, and I worked with the team to put this together. You can now do hybrid retrieval (combining keyword matching with vector similarity) in a single database, without stitching together multiple systems. The syntax is clean enough that you can add relevance-ranked search to existing queries in minutes. pg_textsearch is fully open-source under the PostgreSQL license. You can find a link to their GitHub repo in the next tweet.

Akshay 🚀

215,627 次观看 • 7 个月前

It’s here, the Alinco DJ-X82. This radio was built specifically for airband listening for the Japanese market. It has the fastest search speed I’ve seen on the radio at 500 channels a second! 😎

It’s here, the Alinco DJ-X82. This radio was built specifically for airband listening for the Japanese market. It has the fastest search speed I’ve seen on the radio at 500 channels a second! 😎

Thenewarea51

29,116 次观看 • 5 个月前

Here’s a little sneak peek of something I made for Patina Systems’ first product 🤫 This is a search bar that lets you take action on certain detected tokens. When we detect one, we “bloom” a halo around that word. When you delete, it leaves a trail. It feels SO cool.

Here’s a little sneak peek of something I made for Patina Systems’ first product 🤫 This is a search bar that lets you take action on certain detected tokens. When we detect one, we “bloom” a halo around that word. When you delete, it leaves a trail. It feels SO cool.

sam henri gold

49,037 次观看 • 1 年前