[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]  Quinn [@Quinnxbt](/creator/twitter/Quinnxbt) on x 24.7K followers Created: 2025-07-17 12:48:56 UTC Most people track data consumption. few track data hesitation. @OpenledgerHQ logs when an agent hovers, samples, or nearly selects a signal (like a Caila weather stream or a competing LoRA model) but doesn't act on it. That “near-use” gets stored as soft attribution, showing which signals are gaining attention but not yet trust. I love this layer because it surfaces latent relevance. inputs that haven’t broken through yet but are clearly circling agent logic. For builders and analysts, that’s where the next attribution spike might come from. OpenLedger gives you a look at what’s warming up, not just what’s already hot. XXXXX engagements  **Related Topics** [signals](/topic/signals) [openledgerhq](/topic/openledgerhq) [Post Link](https://x.com/Quinnxbt/status/1945828062006055135)
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
Quinn @Quinnxbt on x 24.7K followers
Created: 2025-07-17 12:48:56 UTC
Most people track data consumption. few track data hesitation.
@OpenledgerHQ logs when an agent hovers, samples, or nearly selects a signal (like a Caila weather stream or a competing LoRA model) but doesn't act on it.
That “near-use” gets stored as soft attribution, showing which signals are gaining attention but not yet trust.
I love this layer because it surfaces latent relevance. inputs that haven’t broken through yet but are clearly circling agent logic.
For builders and analysts, that’s where the next attribution spike might come from.
OpenLedger gives you a look at what’s warming up, not just what’s already hot.
XXXXX engagements
Related Topics signals openledgerhq