
Airdrop
Gradient Network Airdrop
Gradient Network — Tier C, score 52. What the project is, what we know, and how to weigh the opportunity.
C = speculative or unconfirmed.
Gradient Network current status (2026-06-16)
- Status data temporarily unavailable — last verified June 16, 2026.
Latest official X posts
- 2026-05-01: https://t.co/bDtBJaSdQr (https://x.com/Gradient_HQ/status/2050151499729338718)
- 2026-04-15: Catch @alex_mirran on DevNTell this Friday. He’ll break down the infrastructure we’re building at Gradient and show you exactly how to get started today. RSVP below👇 (https://x.com/Gradient_HQ/status/2044291959150522515)
- 2026-04-08: Our cofounder @0xEricYang sat down with @yacinelearning to walk through Echo-2’s distributed RL architecture. Dive in to learn about async RL with distributed infra, and how we ar… (https://x.com/Gradient_HQ/status/2041759591198028087)
- 2026-04-08: When you scale parallel agents, prompt updates degrade fast. The more trajectories you process concurrently, the more generic your learned prompts become. Our researchers worked w… (https://x.com/Gradient_HQ/status/2041730837805461529)
Ranking read
- Updated score: 85/100 (S Tier).
- Archive decision: kept active; no strong evidence that claims/distribution are finished.
Scoring Recalibration (2026-06-16)
- Score recalibrated with stricter evidence gates: direct airdrop/points/claim evidence, actionable path, current official signals, expected upside, effort/cost, and stale-evidence penalties.
- Generic project strength, funding, or broad activity no longer qualifies for S/A without direct opportunity evidence.
- Recalibrated score: 72/100 (B Tier by database thresholds).
Latest official X posts
View all on X →- @Gradient_HQ
View on X for the full post.
View on X - @Gradient_HQ
Catch @alex_mirran on DevNTell this Friday. He’ll break down the infrastructure we're building at Gradient and show you exactly how to get started today. RSVP below👇
View on X - @Gradient_HQ
Our cofounder @0xEricYang sat down with @yacinelearning to walk through Echo-2’s distributed RL architecture. Dive in to learn about async RL with distributed infra, and how we ar...
View on X - @Gradient_HQ
When you scale parallel agents, prompt updates degrade fast. The more trajectories you process concurrently, the more generic your learned prompts become. Our researchers worked w...
View on X
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