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In Prisma Next, you can stream query results straight from the database, row by row and fully typed. That means exports, reports, and ETL jobs of any size run smoothly, with the same safety you get on a normal query.

Prisma

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24,373 görüntüleme • 1 ay önce •via X (Twitter)

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Prisma Next is the version of Prisma ORM we would’ve created if we started from scratch based on the tech landscape of the late 2020s. And after months of hard work, it’s finally in Early Access 🚀 Run "npm create prisma@next" and try it today with PostgreSQL or MongoDB.

Prisma Next is the version of Prisma ORM we would’ve created if we started from scratch based on the tech landscape of the late 2020s. And after months of hard work, it’s finally in Early Access 🚀 Run "npm create prisma@next" and try it today with PostgreSQL or MongoDB.

Prisma

71,041 görüntüleme • 1 ay önce

$Introducing Spotlight -- a new way to search on CSFloat 🎉 Using Spotlight's query system, you can now make complex searches in fractions of the time it would have taken previously. Try it out today on CSFloat Market and Database!$

Introducing Spotlight -- a new way to search on CSFloat 🎉 Using Spotlight's query system, you can now make complex searches in fractions of the time it would have taken previously. Try it out today on CSFloat Market and Database!

CSFloat

188,484 görüntüleme • 1 yıl önce

Caesar builds a knowledge base from every query, anchored by a foundation of hundreds of verified sources. With Caesar's enhanced user interface, you can now interrogate those sources, ask follow-up queries, and explore new hypotheses. Now available in-app.

Caesar builds a knowledge base from every query, anchored by a foundation of hundreds of verified sources. With Caesar's enhanced user interface, you can now interrogate those sources, ask follow-up queries, and explore new hypotheses. Now available in-app.

Caesar

16,811 görüntüleme • 9 ay önce

SOMEONE BUILT A TERMINAL TORRENT CLIENT THAT SEARCHES EVERY TRUSTED SOURCE AT ONCE AND DOWNLOADS STRAIGHT TO DISK finding a torrent in 2026 is miserable fake download buttons, popups that spawn three more tabs, and half the results are dead with zero seeders. so he built the opposite of all that: > type one query and it hits a curated set of trackers all at once > results stream back tagged with source, size and seeders as fast as each site answers > arrow to the one you want, press d, and it lands on your drive > if one source is down it just skips it and keeps searching the rest > downloads run in the background and pick up where they left off if you quit mid transfer the whole thing is one command. npx and youre running, all you need is node, no browser, no setup, nothing leaves your machine except the request itself. its called torlink, open source and mit. this is the kind of clean terminal tool that does one annoying thing perfectly

SOMEONE BUILT A TERMINAL TORRENT CLIENT THAT SEARCHES EVERY TRUSTED SOURCE AT ONCE AND DOWNLOADS STRAIGHT TO DISK finding a torrent in 2026 is miserable fake download buttons, popups that spawn three more tabs, and half the results are dead with zero seeders. so he built the opposite of all that: > type one query and it hits a curated set of trackers all at once > results stream back tagged with source, size and seeders as fast as each site answers > arrow to the one you want, press d, and it lands on your drive > if one source is down it just skips it and keeps searching the rest > downloads run in the background and pick up where they left off if you quit mid transfer the whole thing is one command. npx and youre running, all you need is node, no browser, no setup, nothing leaves your machine except the request itself. its called torlink, open source and mit. this is the kind of clean terminal tool that does one annoying thing perfectly

Om Patel

355,873 görüntüleme • 15 gün önce

🚀 Prisma Next performs close to raw `pg`. It reaches ~90% of raw `pg` peak throughput in our benchmark, while shipping a 148.5 KB gzipped bundle.

🚀 Prisma Next performs close to raw `pg`. It reaches ~90% of raw `pg` peak throughput in our benchmark, while shipping a 148.5 KB gzipped bundle.

Prisma

20,682 görüntüleme • 27 gün önce

here's an example of using Obsidian Web Clipper to extract the transcript from a YouTube video then run it through Interpreter to summarize the key points you can do the same with your highlights, or any page content you want — and run templates based on URL patterns

here's an example of using Obsidian Web Clipper to extract the transcript from a YouTube video then run it through Interpreter to summarize the key points you can do the same with your highlights, or any page content you want — and run templates based on URL patterns

kepano

72,788 görüntüleme • 1 yıl önce

$4.4 trillion in PE assets under management Monitored by analysts who spend 500+ hours a year copying numbers from PDFs into Excel. Not analyzing. Copying and pasting. A fund has 10 portcos. One on NetSuite, one on QuickBooks, three on Excel, one CFO sending a paragraph in an email every quarter. Company A calls it "Revenue." Company B calls it "Net Sales." Company C doesn't even use the same EBITDA calculation. Before AI can do anything useful, you need four layers: 1. Ingestion: get the data out of PDFs, spreadsheets, emails, whatever format it shows up in 2. Normalization: make sure the same metric means the same thing across every company 3. Storage: structured database that can actually be queried, not a folder of files 4. Query layer: natural language interface so a non-technical partner can ask "which portco is trending down on margins?" and get a real answer Most companies jump straight to layer 4 and wonder why nothing works. The unlock is building layers 1-3 first. Once those exist, the AI part is MUCH easier. The firms that get their data infrastructure right first will be untouchable.

$4.4 trillion in PE assets under management Monitored by analysts who spend 500+ hours a year copying numbers from PDFs into Excel. Not analyzing. Copying and pasting. A fund has 10 portcos. One on NetSuite, one on QuickBooks, three on Excel, one CFO sending a paragraph in an email every quarter. Company A calls it "Revenue." Company B calls it "Net Sales." Company C doesn't even use the same EBITDA calculation. Before AI can do anything useful, you need four layers: 1. Ingestion: get the data out of PDFs, spreadsheets, emails, whatever format it shows up in 2. Normalization: make sure the same metric means the same thing across every company 3. Storage: structured database that can actually be queried, not a folder of files 4. Query layer: natural language interface so a non-technical partner can ask "which portco is trending down on margins?" and get a real answer Most companies jump straight to layer 4 and wonder why nothing works. The unlock is building layers 1-3 first. Once those exist, the AI part is MUCH easier. The firms that get their data infrastructure right first will be untouchable.

James Camp 🛠,🛠

19,213 görüntüleme • 4 ay önce

The Gorilla Row Great way to utilize some t-spine rotation in a single arm row variation that you can load up. Cues: Opposite hand stays glued to KB on the ground. Let the chest and shoulder open up on the active side. Pull KB to ribcage.

The Gorilla Row Great way to utilize some t-spine rotation in a single arm row variation that you can load up. Cues: Opposite hand stays glued to KB on the ground. Let the chest and shoulder open up on the active side. Pull KB to ribcage.

Blaine Donoho

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One cool thing about ColBERT-based search compared to the cosine-based vector retrieval is that you get interpretability for free as a byproduct of the MaxSim computation. It's kind of like the Lucene highlighter, letting you grab the most relevant snippets from a long document to show users where their query matches. With Jina-ColBERT-v1, which supports up to 8K token length, released by us earlier this Feb., the visualization of the late interaction between a query and a document is almost... artistic. The video shows the late interaction between the query "Elephants eat 150 kg of food per day." and the Wikipedia article about "Indian Elephant". Darker colors indicate stronger semantic matches. The darkest area corresponds to "The species is classified as a megaherbivore and consume up to 150 kg (330 lb) of plant matter per day." from the original article.

One cool thing about ColBERT-based search compared to the cosine-based vector retrieval is that you get interpretability for free as a byproduct of the MaxSim computation. It's kind of like the Lucene highlighter, letting you grab the most relevant snippets from a long document to show users where their query matches. With Jina-ColBERT-v1, which supports up to 8K token length, released by us earlier this Feb., the visualization of the late interaction between a query and a document is almost... artistic. The video shows the late interaction between the query "Elephants eat 150 kg of food per day." and the Wikipedia article about "Indian Elephant". Darker colors indicate stronger semantic matches. The darkest area corresponds to "The species is classified as a megaherbivore and consume up to 150 kg (330 lb) of plant matter per day." from the original article.

Jina AI

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Self revive can be used even in late game, meaning that solos can be knocked and fully troll you by dodging and running away from opponents in moving zones. You get a refresh? Unlucky the knocked body is now flopping towards zone and you won't get instant siphon.

Self revive can be used even in late game, meaning that solos can be knocked and fully troll you by dodging and running away from opponents in moving zones. You get a refresh? Unlucky the knocked body is now flopping towards zone and you won't get instant siphon.

Boop

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“I love Penn State. I love football.” On Nov 8th, Penn State was 3-6 and had lost 6 straight. The preseason No. 2 team could’ve quit and called it a year. The Nittany Lions didn’t. They bought in to Terry Smith and won 4 in a row to end 2025. You can see what it means.

“I love Penn State. I love football.” On Nov 8th, Penn State was 3-6 and had lost 6 straight. The preseason No. 2 team could’ve quit and called it a year. The Nittany Lions didn’t. They bought in to Terry Smith and won 4 in a row to end 2025. You can see what it means.

Ben Stevens

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if you make the brush stroke instances a subdivided plane and realize them you can transfer the normal from the base mesh and blend it with the plane normal to get more definition

if you make the brush stroke instances a subdivided plane and realize them you can transfer the normal from the base mesh and blend it with the plane normal to get more definition

ashlee! COMMS OPEN

18,288 görüntüleme • 5 ay önce

You asked, we shipped 🚢 You can now copy all of the table definitions with a single click within the Supabase dashboard so that you can quickly provide the context of the database! Head to the Database menu and click the "Copy as SQL" button 📋

You asked, we shipped 🚢 You can now copy all of the table definitions with a single click within the Supabase dashboard so that you can quickly provide the context of the database! Head to the Database menu and click the "Copy as SQL" button 📋

Tyler Shukert

29,018 görüntüleme • 1 yıl önce

Some 10 year old kid from Cedar Rapids watching me run the triple option with Avery, DJ, and Dylan for the 36th offensive play in a row on CFB 25 online:

Some 10 year old kid from Cedar Rapids watching me run the triple option with Avery, DJ, and Dylan for the 36th offensive play in a row on CFB 25 online:

kstate_MAN

26,623 görüntüleme • 2 yıl önce

Buck Showalter ended our interview with some words of encouragement for the Orioles and their fans in a way only Buck can: "They're going to win 10 in a row... you get young people in a snowball going the other way, crazy things happen."

Buck Showalter ended our interview with some words of encouragement for the Orioles and their fans in a way only Buck can: "They're going to win 10 in a row... you get young people in a snowball going the other way, crazy things happen."

Ryan Ripken

89,664 görüntüleme • 1 yıl önce

Oscar Bobb has done it at St. James Park and he did it against a full 11-man Newcastle United. The Genius of Kevin De Bruyne. Fresh from a five-month injury. Title run-in. Four in a row. Never a day goes by that I don’t miss you.

Oscar Bobb has done it at St. James Park and he did it against a full 11-man Newcastle United. The Genius of Kevin De Bruyne. Fresh from a five-month injury. Title run-in. Four in a row. Never a day goes by that I don’t miss you.

Geronimo Morgans

29,859 görüntüleme • 10 ay önce

Supabase makes it easy to work with LLMs! You can copy all of the table definitions with a single click within the Supabase dashboard so that you can quickly provide the context of the database! Head to the Database menu and click the "Copy as SQL" button 📋

Supabase makes it easy to work with LLMs! You can copy all of the table definitions with a single click within the Supabase dashboard so that you can quickly provide the context of the database! Head to the Database menu and click the "Copy as SQL" button 📋

Tyler Shukert

26,656 görüntüleme • 10 ay önce

HOLY SHIT...you can "inference" LLMs in Sora 🤯 the prompt was: "Open chatgpt and send a message!" How insane is it that the generated audio is not only a relevant response to the query that Sora made up out of nowhere, but the haiku is syllable-accurate?! 🥲

HOLY SHIT...you can "inference" LLMs in Sora 🤯 the prompt was: "Open chatgpt and send a message!" How insane is it that the generated audio is not only a relevant response to the query that Sora made up out of nowhere, but the haiku is syllable-accurate?! 🥲

Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭

284,447 görüntüleme • 9 ay önce

This is another blatant boost on stream by a viewer who is jumping in the paint while guarding left corner and shot 10 stepbacks on a row. This is say it with me, boosting.

This is another blatant boost on stream by a viewer who is jumping in the paint while guarding left corner and shot 10 stepbacks on a row. This is say it with me, boosting.

Splash

25,450 görüntüleme • 9 ay önce

Kyle Whittingham on losing three straight to BYU and if influence his potential return next year: “No we won nine in a row before that. We are still on the very plus side of that.” #BYU #BYUFOOTBALL #BYUvsUtah #Big12 #ESPNTheFan #GoCougs

Kyle Whittingham on losing three straight to BYU and if influence his potential return next year: “No we won nine in a row before that. We are still on the very plus side of that.” #BYU #BYUFOOTBALL #BYUvsUtah #Big12 #ESPNTheFan #GoCougs

Ben Criddle

143,715 görüntüleme • 8 ay önce