The $GRASS buyback debate is amusing because both sides have a point. Buybacks can tighten float and juice the chart short term, esp if tokens are burned (unlikely even in the event of buybacks). But early-stage, infra-heavy projects usually get more leverage by recycling revenue into growth, more data, more infra, more customers. You know… the actual business.
At this stage, I’m thinking buybacks = higher costs + slower expansion. And user-wise, you probably just buy-back distribute to new users that insta-jeet, not long-term network participants.
Curious what the revenue numbers will look like. I’ve got more thoughts on this, will likely flesh them out later.
Seems things haven’t changed much. People still don’t know how to properly understand the scope $GRASS is building toward.
let me point out the obvious $GRASS bull-case for people:
1. 8.3M active nodes, 4B+ files, 300M+ hrs audio, trillions of text tokens
2. Android app live -> onboarding has never been easier
3. Grasshopper router launches Q4 -> 24/7 uptime, future compute + AI agents
4. Verticalized infra stack -> +90% cost savings vs hyperscalers
5. Open sourced datasets already adopted by major AI labs
6. ClipTagger-12B outperforming Claude/GPT at 17x lower cost
7. Team hinting at partnerships + revenue
This is all information that’s been published for the last year. @grass must be the only protocol in the space delivering tangible value to AI.
Also worth adding to the buyback debate, it’s easy to be misguided in looking at current buyback examples. They're a smoother fit early in the lifecycle for casino-style operation like perp dexes, where liquidity and user churn is baked in, versus business to business models that demand heavy infra compounding first.
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