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tmulc18

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Show HN: Fitness MCP

getfast.ai
7 ポイント·投稿者 tmulc18·4 か月前·4 コメント

Nano Banana on Gemini is not the same as on AI Studio

twitter.com
3 ポイント·投稿者 tmulc18·7 か月前·0 コメント

Race SPT: Sensor Pretrained Transformer

getfast.ai
2 ポイント·投稿者 tmulc18·9 か月前·1 コメント

Show HN: Chat with Your Wearables Data

getfast.ai
5 ポイント·投稿者 tmulc18·11 か月前·0 コメント

I stumbled into the effective oxygen percentage by looking at model errors

getfast.ai
1 ポイント·投稿者 tmulc18·12 か月前·0 コメント

Show HN: I built a tool to show how people trained for your goal marathon time

getfast.ai
6 ポイント·投稿者 tmulc18·昨年·0 コメント

コメント

tmulc18
·7 か月前·議論
GetFast | Founding Engineer | Bay Area / Remote

We're on a mission to simplify running through wearables data. We're a small team of runners who love to build.

We're looking for a founding engineer to shape the future of our product and company. You’ll work across the stack–from building reliable, scalable systems to rapidly prototyping and launching new user-facing features. You’ll have significant ownership and influence on architecture, product direction, and engineering culture.

Ideally you love a few of the following: - Foundation ML models in the sensory space - Chat agents - Novel data visualizations - Recommendation systems - Operations research - Unique UX

https://getfast.ai/jobs
tmulc18
·8 か月前·議論
https://getfast.ai/strava/login Using transformers to understand fitness data
tmulc18
·9 か月前·議論
We trained a model on sensor data to learn useful patterns for predicting running race performances.
tmulc18
·11 か月前·議論
gwern is goated
tmulc18
·昨年·議論
Would be more fun (even if you call it "easy mode") if you had the alphabet at the top of the page! Took me 17 tries to get "prepare" but I had a lot of mistakes because I forgot what came after what in the alphabet.