@screenpipe x @42born2code update
we hit the 2nd place!
Soulbook took a turn and became Lanterns, focusing more on team shareabilty. Trailer below.
i have so many product ideas now regarding memory.
@louis030195 and his team turned me into the memory wizard 🧙
curently building at @screenpipe x @42born2code
{Soulbook} is gonna be a very successful compagny , or a crazy screenpipe feature😆
@louis030195
My bag is ready i have my laptop and 2 bottles of water just dm me the flight time. see you all in SF🌉
Best sponsor out of the last 3 hackathons tho truly amazing product @screenpipe
Introducing SubQ Snap, the first long-context decision model for real enterprise work.
Snap is the only decision model or LLM where compute per token stays constant as context grows.
• 384K tokens of multimodal context, 12x larger than Jev.
• 61.7 on Decision Index v0.2.1 vs Jev’s 57.9, outperforming on 13 of 16 enterprise benchmarks.
•Processes 100K tokens and returns a decision in under one second.
•$0.05/MM input tokens. Output is free.
Available today to anyone.
The first 10,000 sign-ups get 100M free input tokens.
We’ll likely hit capacity fast and will add users as we add compute. Compute offers welcome 🙂.
Latency will be variable as we tune the platform to this new model and category of users.
Model speeds are 80ms for minimal context, 250ms for 32k, 660ms for 100k, and 2.5 seconds for 384k.
Visit: https://t.co/Nc76iJF2a8