quite a challenging problem to solve!!
Interesting but where are you getting this data
Zoomed in on NY (where I live) and oof... to be expected but quite bleak. Nice visualization
Feels very Figma-y, like applying that format to everyday notetaking/productivity. Nice!
super cool.. it's interesting to see the small advancements/features foundational model providers are starting to build in for interpretability/explainability. this is way more clear UX/UI with the % match and excerpt.
This is awesome—a sandbox for transit nerds lol my husband will love this. The dwell time + simulation rate sliders are super fun, can do a lot with congestion indicators or bottleneck flags when trains start stacking…
super clean concept. have run into the reverse problem—lots of tools to send automated emails, but very few that make receiving them easy in a dev-friendly way. AI agent trigger idea is clevrr. congrats!
quite a challenging problem to solve!!
Interesting but where are you getting this data
Zoomed in on NY (where I live) and oof... to be expected but quite bleak. Nice visualization
Feels very Figma-y, like applying that format to everyday notetaking/productivity. Nice!
super cool.. it's interesting to see the small advancements/features foundational model providers are starting to build in for interpretability/explainability. this is way more clear UX/UI with the % match and excerpt.
This is awesome—a sandbox for transit nerds lol my husband will love this. The dwell time + simulation rate sliders are super fun, can do a lot with congestion indicators or bottleneck flags when trains start stacking…
super clean concept. have run into the reverse problem—lots of tools to send automated emails, but very few that make receiving them easy in a dev-friendly way. AI agent trigger idea is clevrr. congrats!