backing AI, deeptech, future of work
External link for Outset Capital
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San Francisco, California 94110, US
Check out Reflex Cloud on Product Hunt!
We’re excited to announce and launch Reflex Cloud! Reflex is an open-source framework for building and deploying data and AI web apps in pure Python. Frontend and Backend in Pure Python: No JavaScript required! With Reflex Cloud, you can now deploy, manage, and scale your Python apps with just a single command! If you're a Python developer, An upvote or a share would mean a lot to us :) Link to the Product Hunt: https://lnkd.in/gpP2YTfR
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Who needs JavaScript? We’ve rebuilt Wordle entirely in pure Python using Reflex! From UI to logic, all in Python! Checkout the code: https://lnkd.in/gcrW4Rz4
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Building Embra, the all-in-one AI that understands your business. Angel Investor. Past: Stripe (Banking), Founder of Jobstart (Acquired).
Excited to share some progress we’ve made! There are too many narrow, less capable tools out there. We don’t believe you need another AI assistant. That’s why we’re building an AI operating system. Meet the new Embra. 1) Embra connects to your apps, such as meeting providers & gmail. From this stream of work data, you can set up Embra to analyze/process this information, think and learn. RAG is outdated. It's not about searching a corpus of data. It's about generating analysis & reports. 2) Also from this stream of data, Embra can do work for you. Work like: - Generate beautiful meeting notes w/ different templates - Understand a whole deal & send nudge emails - Automate follow-up emails based on convos + research - Research competitors when mentioned 3) We’ve found that if you have 4+ meetings per day and engage in all the best-practices (email, research, organize data, action items), it takes about an hour a day. With Embra, it takes 5 minutes. And you can cancel a bunch of subscriptions. 4) This is just the start! We’re expanding our closed beta today to support 1,000 new users, and are aiming for a much bigger announcement come January. :) Sign up at https://embra.ai
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Another Hedra x ElevenLabs banger -- proud to be a part of this video! Voice design is an amazing feature that our users have been dying for -- we love working with ElevenLabs!
Introducing Voice Design. Generate a unique voice from a text prompt alone. Is our library missing a voice you need? Prompt your own. Head to Voices -> Add a new voice -> Voice Design: https://lnkd.in/gUxhdnqw Check out our prompt guide for inspiration: https://lnkd.in/gAqusawQ
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Models are what they eat, so let's get them some better data. Exciting launch from Outset portco DatologyAI of their state-of-the-art data curation pipeline, enabling companies training models to train faster, train better, and train smaller. (and, of course, they're hiring)
Models are what they eat: high quality data lead to high quality models, enabling faster training of better models with fewer parameters. However, identifying and curating high quality data at scale, automatically, is an incredibly challenging problem requiring deep expertise. Our goal at DatologyAI is to make state of the art data curation accessible to anyone who wants to train a model, and we’ve been hard at work realizing this vision over the last year. On a personal note, I am so proud of the incredible work our small, but mighty team has accomplished, and today, I’m incredibly excited to share our first set of results at DatologyAI! We focused on contrastive models (ala CLIP) trained on the large-scale DataComp dataset, and the results we’ve been able to achieve have exceeded our already high expectations! Train Faster - Training on DatologyAI’s optimized dataset, we were able to reach the same performance with up to ~98% less compute, meaning that models cost dramatically less to train and train dramatically faster! Train Better - Models trained on our optimized data for the same compute budget achieve up to 13 absolute percentage points better performance relative to models trained on raw data. Train Smaller - Train models with >60% fewer parameters to better performance by training on our curated data. Check out our high-level blog post here (https://shorturl.at/jkYqk), and if you’re interested in all the nitty, gritty details, check out our technical deep dive here (https://shorturl.at/Mt0k9). We are so excited about these results, and we are just getting started! Stay tuned for more exciting results on text models coming very soon!
Outset Capital reposted this
Models are what they eat: high quality data lead to high quality models, enabling faster training of better models with fewer parameters. However, identifying and curating high quality data at scale, automatically, is an incredibly challenging problem requiring deep expertise. Our goal at DatologyAI is to make state of the art data curation accessible to anyone who wants to train a model, and we’ve been hard at work realizing this vision over the last year. On a personal note, I am so proud of the incredible work our small, but mighty team has accomplished, and today, I’m incredibly excited to share our first set of results at DatologyAI! We focused on contrastive models (ala CLIP) trained on the large-scale DataComp dataset, and the results we’ve been able to achieve have exceeded our already high expectations! Train Faster - Training on DatologyAI’s optimized dataset, we were able to reach the same performance with up to ~98% less compute, meaning that models cost dramatically less to train and train dramatically faster! Train Better - Models trained on our optimized data for the same compute budget achieve up to 13 absolute percentage points better performance relative to models trained on raw data. Train Smaller - Train models with >60% fewer parameters to better performance by training on our curated data. Check out our high-level blog post here (https://shorturl.at/jkYqk), and if you’re interested in all the nitty, gritty details, check out our technical deep dive here (https://shorturl.at/Mt0k9). We are so excited about these results, and we are just getting started! Stay tuned for more exciting results on text models coming very soon!
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We're growing fast at Reflex and are aggressively hiring engineers at all levels! We had over 9,000 apps created last month and have teams using us from top YC startups to Fortune 100 companies. We're now building out our cloud so developers can deploy and share their internal tools and AI apps easily. Our founding team consists of open source maintainers, top ranked competitive programmers/IOI medalists, and founding team members from dev tool unicorns. If you want to build a better and more accessible web - message me or apply below. https://lnkd.in/gVbWvr6T
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Browserbase is still less than one year old, and already they're helping hundreds of startups build agents and automate the web. Paul Klein IV and team's focus, speed, and impact is unheard of. Congrats to the team on this well-deserved milestone. Grateful to get to be a small part of the journey via Outset Capital.
The next billion dollar company will be powered by Browserbase. We already help hundreds of AI startups automate the web at scale. Now, we've raised a $21 million Series A round, co-led by Kleiner Perkins and CRV, with participation from Okta Ventures. Today, we're launching five major features that make Browserbase 10X more powerful than ever before. What will you 🅱️uild?
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Congrats to Tako on announcing its newest partnership! Liner empowers more than 10 million students and researchers across the globe. It was also recently recognized as the fourth-most-used generative AI product on the web by a16z. Now, thanks to this partnership, students and researchers can use Liner to search, explore, and share visual knowledge cards built exclusively from authoritative data providers. Onwards!