conte
@0xcontentooo
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Core cutter @grass | Making data accessible @wyndlabs_ai | Budding @gigabuds_
Joined September 2020
we have a SERP API in closed beta that is averaging ~ 500ms latency and ~ 99% success rates. if you're building something cool in AI or otherwise and would like to try it for free, please DM me!
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"a diabolical focus on product and revenue" - Boris Revsin, CEO and Managing Director of Tribe Capital https://t.co/HXkvuGnZYP
We are excited to announce that we have raised $10m from @polychain and @tribecap. This investment will be used to support growth, expand infrastructure, and accelerate the path to our goal of an internet scale web crawl.
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We are excited to announce that we have raised $10m from @polychain and @tribecap. This investment will be used to support growth, expand infrastructure, and accelerate the path to our goal of an internet scale web crawl.
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1/ New episode – Making the Internet AI-Native with @0xdrej from @grass Host: @richhomiecon We discuss: - An inside look at their revenue and customer base 👀 - How they're upgrading the Internet from the bottom up - What LCR is and why it's so important for our AI future
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we changed the https://t.co/BT7zDOFH9y website into our b2b lander (replacing grasscrawl) because we do lots of outbound and existing customers know our team as "Wynd Labs". this doesn't change anything commercially! all contracts are still facing the Grass Foundation, and Wynd
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the Grass Army is a sleeping giant and i think there’s never been a better time for it to wake up
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Chat what should we ask him?
@cryptolawncare i am recording a podcast with @richhomiecon today. not “news” but should be a good one nonetheless!
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The value of the network shows up in how it’s being used. Here’s how customers are already working with Grass: The customers below remain unnamed, since their work with Grass gives them a unique edge in AI where every advantage matters. • Customer A needed an internet-scale
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Need this on a hat or something https://t.co/GEtg60id0j
2025 has been about shipping. Here’s where Grass stands today: Network • 8.3M users have run an active node in the last 30 days. • 1M+ concurrent user connections. • Currently retrieving 3PB per day, driven by customer demand. Infrastructure • Storage system now running at
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2025 has been about shipping. Here’s where Grass stands today: Network • 8.3M users have run an active node in the last 30 days. • 1M+ concurrent user connections. • Currently retrieving 3PB per day, driven by customer demand. Infrastructure • Storage system now running at
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Grass is now on the Google Play Store! Download Grass and reply with a screenshot of the app running on your phone for a chance to win a brand new Samsung Galaxy S24. Download here: https://t.co/kaR2we9Kk6
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Seems like an easy enough thing to participate in! Inference sending $250 to the reply using ClipTagger with the most likes 👀 https://t.co/4mdLRdzZFo
We shipped a playground for ClipTagger that supports video as well. Reply with your outputs and we'll send the one with the most likes $250! https://t.co/gQCn4O0Y9n
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You think you're funny, twitter anon? Here's your chance to prove it. We built a distributed inference network for large-scale LLM inference and trained ClipTagger-12B, a SOTA video frame captioning model. Now we need a distributed marketing network so that people find out
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can you guess the image i fed to ClipTagger? https://t.co/2TWwnfySSs
ICYMI ClipTagger is live for demo testing. Upload or paste any image and see the model generate annotations. Reply with your outputs and we’ll retweet the best ones:
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ICYMI ClipTagger is live for demo testing. Upload or paste any image and see the model generate annotations. Reply with your outputs and we’ll retweet the best ones:
huggingface.co
Meet ClipTagger-12b. A new video annotation model built with Grass’s real-world video data, trained and deployed by @inference_net on their distributed compute network. It delivers high accuracy video labeling at a fraction of the cost, and it’s live today. Read more:
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you can try cliptagger for yourself! upload any image or video frame and run. generation takes a few minutes right now but this'll be blazing fast once we swap in @inference_net on the backend. fun fact, this powers our video search. https://t.co/R5jDKyo26Y
There's something really special about the schema that @grass developed for ClipTagger-12B. Once you start searching massive video datasets, using metadata filters for objects, production quality, logos, or actions becomes absolutely invaluable. The model we trained is great,
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