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Abhishek Sinhaleft a comment
the regional specialization approach is smart — treating african languages differently from south asian ones instead of lumping everything together makes a ton of sense linguistically. at 3.35B params running on local devices is realistic too. main question: how does it handle code-switching? in many of these regions people mix 2-3 languages in a single conversation and that's where most...

Tiny AyaLocal, open-weight AI designed for real-world languages
Abhishek Sinhaleft a comment
really like the idea of discovering workflows you didn't even know you had — that's the hard part most automation tools skip. curious about the data access though, connecting slack + notion + linear means panorama sees a lot. how are you handling data privacy and what's the retention policy? also wondering how it deals with teams that have messy, inconsistent processes

PanoramaAI that finds your team’s workflows and hidden structures
Abhishek Sinhaleft a comment
the self-learning AI angle is interesting — curious how the system actually improves across campaigns though. like does it optimize for engagement, conversions, or both? also noticed the site mentions 4M+ influencers but no detail on how matching works beyond "AI-driven." would love to see more transparency on the selection criteria

InflucioAI marketing Agent for result-driven influencer campaign
