What does it mean to own your data in a cloud-first world?
Our new mini-doc explores the ideas, trade-offs, and the people behind Local-First software.
Watch the full mini-doc here 👉 https://t.co/fmBEZAQ0eT
We are proud to release the first major version of DuckDB, v1.0.0, codenamed "Snow Duck".
This version is a culmination of almost six years of research and development. Today we are shipping an innovative database system with a backwards-compatible storage format.
Check out our announcement blog post: https://t.co/w8OGx4pziT
I'm so excited to announce our $8M fundraise 😍, and the launch of our dynamic router 🚀
https://t.co/0HOzfvroyL
I first just want to thank everyone who has backed our vision to unite the LLM landscape, and special thanks to our amazing team, who all continue to work tirelessly to push things forward every day (@GSBrread, @vedpatwardhan, @YasserAhmed1029, @iamjameskeane, @khalidanwaar01, Nassim Berrada, Tom Edwards, Albert Lukacs) 💪❤️
You can learn more about our fundraise in this TechCrunch article (https://t.co/zvmcrPQyXO), and we will also be releasing a blog post shortly.
Our router dynamically sends each prompt to the best LLM so you can balance quality, speed, and cost with ease ✨ Simply tune these three dials as per the needs of your task, and then let Unify do the rest, giving faster and better quality responses at a lower cost 📈
Your "easy" prompts will go to the fastest and cheapest models, and only the "hard" prompts will go to the most appropriate heavy lifter for your task, such as GPT-4o, Opus, or Gemini, depending on your prompts 🔀
Watch our explainer video [https://t.co/PqFF1bwrOt] to learn more about the solution at a high level, and if you like the sound of it, then give it a try, and let us know what you think!
We're also live on Product Hunt [https://t.co/hSE2qv2bfX], feel free to engage in the thread 🧵
You can sign up [https://t.co/adqY3y6v41], take our router for a spin, and check out our product walkthrough [https://t.co/v8kw7ZVsyb]. If you like it, then tell a friend 😊 All kinds of feedback are welcome!
Happy prompting ✌️❤️
We're thrilled to announce our $73 million Series A funding, led by @protocollabs and @multicoin, to bring FHE to the fore, and give developers tools to tackle data privacy challenges across blockchain and AI use cases.
Read more @TechCrunch
https://t.co/05aBx9AW7c
🚀 The easiest way to copy data: ingestr https://t.co/iIWvY2Cnvc
*ingestr* is an open-source command-line application that simplifies data ingestion and copying between databases without coding. Whether you're moving data from a production Postgres database to BigQuery for in-depth analysis, ingestr has covered you with just a single command!
🌟 You can copy data between any well-known database such as Postgres, BigQuery, Snowflake, Redshift, SQL Server, and more.
📈 You can ingest data incrementally, bringing only recently updated data.
⚡ Install with a single command, and copy data right away!
We're eager to hear your thoughts and feedback, so give ingestr a try, and don't forget to show us some love by starring us on GitHub! 🚀
https://t.co/iIWvY2Cnvc
Hey @jarredsumner & @nikitabase, got it working!
PGlite, WASM Postgres running in the browser, Bun and Node. Only 3.7mb gzipped. 🤯
In-memory or persisted to the filesystem with Bun/Node and IndexedDB in the browser. 🚀
https://t.co/lRA5cLYwTs
https://t.co/xEKnrfidIp
Very excited to release our Model Hub https://t.co/R9uT6ZL1cw 😍 - a collection of LLM endpoints with live runtime benchmarks all plotted across time 📈
We currently have 21 models provided by: @anyscalecompute, @perplexity_ai, @replicate, @togethercompute, @octoml, @MistralAI and @OpenAI, with many more on the roadmap.
We test across different regions (Asia, US, Europe), with varied concurrency and sequence length. By plotting across time, our dashboard highlights the stability and variability of the different endpoints, and their ongoing evolution across API updates and system changes. Our benchmarking code is open source: https://t.co/USvGcNt5br
Following the great work from @withmartian last week, we mention several new findings in the thread below, focusing on llama-2-70b-chat and mixtral-8x7b-instruct-v0.1 ⬇️
Our unified API also makes it very easy to test and deploy these different endpoints in production, without needing to create several accounts 🔑
Our Hub is a work in progress, and we will be releasing new features every week 🚀
We are granting everyone $5 starting credits with a free top up of $2.50 every week, compatible with all major LLM providers (more coming soon!).
You can sign up here https://t.co/nVYkpvck4W. Please tell us what you think, and we’ll quickly incorporate feedback into the next weekly release! 😊
As always - let’s unify AI! 🟢💪
Very excited to release our Model Hub https://t.co/R9uT6ZL1cw 😍 - a collection of LLM endpoints with live runtime benchmarks all plotted across time 📈
We currently have 21 models provided by: @anyscalecompute, @perplexity_ai, @replicate, @togethercompute, @octoml, @MistralAI and @OpenAI, with many more on the roadmap.
We test across different regions (Asia, US, Europe), with varied concurrency and sequence length. By plotting across time, our dashboard highlights the stability and variability of the different endpoints, and their ongoing evolution across API updates and system changes. Our benchmarking code is open source: https://t.co/USvGcNt5br
Following the great work from @withmartian last week, we mention several new findings in the thread below, focusing on llama-2-70b-chat and mixtral-8x7b-instruct-v0.1 ⬇️
Our unified API also makes it very easy to test and deploy these different endpoints in production, without needing to create several accounts 🔑
Our Hub is a work in progress, and we will be releasing new features every week 🚀
We are granting everyone $5 starting credits with a free top up of $2.50 every week, compatible with all major LLM providers (more coming soon!).
You can sign up here https://t.co/nVYkpvck4W. Please tell us what you think, and we’ll quickly incorporate feedback into the next weekly release! 😊
As always - let’s unify AI! 🟢💪
🎉 TinyBase v4.6.0-beta, with support for @ElectricSQL!
It's very experimental... but you can kick the tires right now.
We'll have a starter kit coming soon so you can get up and running quickly. But in the meantime, checkout the docs and enjoy!
https://t.co/Ic2XMieoyl
We created Trunk, a marketplace for Postgres extensions. It powers Tembo Cloud and is growing fast.
Love Postgres extensions? Give Trunk a try: https://t.co/mNVsUUnuAV
Thanks for sharing Gunnar!
Imagine if you could build a local-first app, synced to a cloud Postgres where the local embedded database was not SQLite but actually also Postgres. And not an ephemeral VM Postgres. But a proper native Postgres with persistence running in Rust in the backend of a @TauriApps app
I've always been a fan of the feature flag use cases for Turso. With embedded replicas, it can get even faster, down to the microseconds - or "zero latency" as @kentcdodds called it the other day (Kent, I'm stealing that one).
Happy to see the Flipt crew getting onboard!
🎉 pgvector 0.5.0 is released, with 3 exciting updates:
◆ HNSW indexes
◆ Parallel builds for ivfflat
◆ Faster distance calculations
A big shout out to @andrewkane for all his work on this release.
Read more on @jkatz05 's excellent writeup:
https://t.co/lx2VNPHKZD
Exciting technical preview! ElectricSQL v0.5 is out - a local-first sync layer for Postgres. Build reactive, realtime, and offline-capable apps right on top of Postgres https://t.co/27SGGSxbns