25/100 — Audited by Token Verdict
Exabits aggregates GPU capacity from consumer RTX cards up to NVIDIA GB200s, H200s, and DGX B200 clusters under the tagline "The Backbone of AI Infrastructure," pitching cost-obsessed compute for AI workloads with direct manufacturer sourcing. Two critical failures: the team is fully anonymous with zero disclosed members, and there are no published tokenomics whatsoever — no supply figure, no allocation, no vesting schedule, and no defined utility for $EXABI ahead of a still-TBD TGE. The hardware tier breadth is a genuine differentiator in the crowded DePIN compute space if the infrastructure claims hold up, but that's a big if with nothing verifiable on-chain. Score: 22/100 — whitepaper and website only; until a team surfaces and tokenomics are disclosed, this is pure speculation.
How well-structured is the token supply, allocation, and distribution?
No supply information found in available materials.
No allocation information found.
No vesting or lockup information found.
No clear token utility beyond speculation.
No burn or deflationary mechanism found.
How is the TGE structured? Is it fair and transparent?
No launch platform details found.
No pricing mechanism details found.
No liquidity provision details found.
No anti-dump protections found.
Who is behind this project and can they be trusted?
No team information found. Possibly anonymous.
Cannot assess track record — no team info.
No smart contract audit found.
No GitHub repository found.
Does this project have real market demand and competitive positioning?
Project description found. Problem-solution fit needs manual review.
Targets ai market.
Project has description but competitive edge needs manual review.
No traction signals detected.
How engaged is the community and how is governance structured?
No community channels found.
No governance model found.
Communication: whitepaper available, detailed website.