Maximize your network contribution. Mobile devices now drive 38% of all network activity.
Millions of users are connecting on Mobile AND Desktop to ensure 24/7 uptime, earning even when they step away from their computer.
Don't limit your participation to one device.
Get the Android App 👇
It’s never been easier to earn points before!
For a limited time only, when you sign up for Grass, you instantly earn 10,000 Uptime Points! That is the equivalent of more than 50 hours of uptime with the desktop app!
Download Grass. Run it in the background. Earn rewards.
👉https://t.co/DM6jVMZjxZ
The network is more reliable than it's ever been as our success rates and core performance metrics have increased across the board.
This is a result of improvements to our detection and filtering capabilities that remove bots, bad actors, and low quality nodes from the network. Our efforts to prevent bad actors from gaming the system have led to stronger and more sustainable network performance.
Our goal has always been simple: reward real users who support the network with bandwidth that the network can actually use.
Real rewards for real users.
We’re announcing our first Token Holder Call on November 24th, 2025 at 1PM EST.
We’ll review business progress, revenue and growth highlights, updates related to the token’s role in our ecosystem, and major initiatives ahead.
Questions may be submitted in advance through the registration form on Luma.
Register here: https://t.co/lDq3SUZ20C
We’re announcing our first Token Holder Call on November 24th, 2025 at 1PM EST.
We’ll review business progress, revenue and growth highlights, updates related to the token’s role in our ecosystem, and major initiatives ahead.
Questions may be submitted in advance through the registration form on Luma.
Register here: https://t.co/lDq3SUZ20C
Grass × @inference_net �� @laion_ai
100 million scientific papers processed with open models, making global research structured, searchable, and accessible to both people and AI.
A milestone for open, connected science.
https://t.co/Rsh2vNgGqH
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.
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 10% of hyperscaler cost with 2x the throughput capacity.
• Tape-based archival solution, built for 30-year durability, is 50-60% cheaper than hyperscalers’ cold storage tiers. Compute stack operating at up to 95% lower cost than cloud providers. These solutions provide full retrieval control, avoid vendor lock-in and also eliminate egress fees.
• Grasshopper hardware launching soon, designed to offer consistent uptime and throughput, strengthening reliability across the network.
Products
• Dataset catalog has grown to 4B+ multimodal files, 300M+ hours of audio, and trillions of tokens of text, with custom enrichments available across all datasets.
• Pre-configured industry datasets (finance, retail, staffing, AI) are being listed in data marketplaces for direct access.
• ClipTagger live on @inference_net and HuggingFace, outperforming larger models like Claude 4 and GPT-4.1 on standard annotation metrics like ROUGE and BLEU.
• Video search beta enables transcript, semantic, and keyframe-level discovery across billions of videos, currently in testing with enterprise and research partners.
• High-volume APIs (including SERP and web video retrieval) in development.
With these structures in place and continuously growing, Grass delivers the retrieval and processing of web-scale data with an efficiency, cost-effectiveness and speed that surpasses what centralized providers can deliver.
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
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: https://t.co/AZRghYXgpV
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: https://t.co/viLoAZOjdO
ClipTagger-12b strengthens the perception capabilities that many AI systems rely on, from autonomous vehicles to warehouse robotics.
In benchmark tests, it outperformed Claude 4 and GPT-4.1 on standard annotation metrics like ROUGE and BLEU, while being up to 17x cheaper to run.
Check out more benchmarks here: https://t.co/kLscBHAIJ8
We’re showcasing select projects built at Grass in a new mini‑series. The first post explores how we’re using ML to improve data labeling and filtering so customers get exactly what they need without complex one‑off pipelines.
Read more: https://t.co/IcTookqKAM