Aart Goossens

GitHub - fastapi/fastapi-new: Create a new FastAPI project in one command Create a new FastAPI project in one command. Contribute to fastapi/fastapi-new development by creating an account on GitHub.

A basic FastAPI app in one command 🚀

Install uv: docs.astral.sh/uv/getting-s...

Run:

uvx fastapi-new awesomeapp

✨ Done! ✨

Thanks @savannah.dev ! 🙌

github.com/fastapi/fast...

And for those asking "Why not 1.x.x yet?": The API is stable but I'm waiting until the feature set feels truly production-complete. Getting there!
(don't let the version number stop you from using it though)

🤓

Strava Voluntarily Drops Lawsuit Against Garmin  Strava’s multifaceted legal (and social media) attack on Garmin was short-lived. Just 21 days after filing the original patent infringement case, alongside a Reddit post from their executive team at...

Strava just "voluntarily dismissed" its huge lawsuit against Garmin for patent infringement. The question is, why, and what happens next? www.dcrainmaker.com/2025/10/stra...

Claude Skills are awesome, maybe a bigger deal than MCP Anthropic this morning introduced Claude Skills, a new pattern for making new abilities available to their models: Claude can now use Skills to improve how it performs specific tasks. Skills …

Claude Skills are awesome, maybe a bigger deal than MCP
simonwillison.net/2025/Oct/16/...

Exclusive: Strava just sued Garmin, demanding the company stop selling all their fitness devices (watches and bike computers), due to infringing on a patent. I dive into what's being said, a whole lot of history, what it means, and much more: www.dcrainmaker.com/2025/10/stra...

Blue plaque review series: A.V. Hill, athletic records and the birth of exercise physiology Abstract figure legend Depiction of the world running records from 1925 studied by A. V. Hill and those of 2025 up to and including ultradistance events on a semi-logarithmic plot. These records, in ....

100 years ago this month, AV Hill published 3 papers summarising a lecture on the physiology of athletic records he gave at the British Association for the Advancement of Science. They gave birth to exercise physiology as we know it today. physoc.onlinelibrary.wiley.com/doi/10.1113/...

Link to relevant forum post (only accessible for those who have access to the developer program): developerportal.garmin.com/node/2303

Apparently Garmin added OAuth2 to their Connect API: New apps can already use it, existing apps can't migrate yet. More info "this fall".
As a developer, this makes me very happy (maybe more than it should, but OAuth1 really is a pain to work with).
Docs: developerportal.garmin.com/sites/defaul...

I'm trying to understand the blog: Does the scanning back approach primarily ensure monotonicity and reduce computational complexity, with max effort detection coming from the 85% filtering? Or does the scanning back mechanism contribute to max effort detection in a way that I might have overlooked?

You can see exactly where Wightman’s tank emptied, about 5-10 m from the line (by the Honda sign). If you calculate his critical speed and D’ from his outdoor PBs, D’ was gone 6 m before the line.

Intervals.icu uses pretty much the same method to find max efforts. Doesn't do any pre-smoothing of the power data. I never tried smoothing.

So there you have it. This was our proposed solution to interrogate real-world (messy) MMP data, identify maximal values in that data, and use (only) those to derive CP.

Final question: Do you apply rounding to the 3s smoothed data? (rounding determines how big of a drop will be considered a shoulder)

Thanks for the extensive answer! Your implementation is simpler than I thought: Because the paper mentioned "deflection points" I actually thought you were using the 2nd derivative with some cutoff.

@james-spragg.bsky.social Hey James. Is it possible to share the code or detailed explanation of the "shoulder method" in your "An improved methodology..." paper from 2023? I'm considering making a paper playground (paperplayground.app) for it.

This comment/thread made me realize I had some gaps in my intuition around regression methods for power-duration models.
New blog: gssns.io/posts/same-m...

Joking aside: Of course in some settings this is possible, but there are enough settings (like online training applications, my main clients) where this is not (always) possible/preferred, requiring an unsupervised approach.

I tried, but the .csv files refuse to talk to me...

I do like the shoulder method from Spragg et al. but it needs a cutoff that is very duration specific, making implementation (especially in a wider duration domain) difficult/arbitrary.

Thanks for answering.
Fitting on work-duration indeed makes sense. I still tend to plot power-duration because it's more intuitive (to me).
Do you know of any published work on hull/envelope fitting for power duration models?

@rchung.bsky.social any thoughts?

Some observations:
- Least-squares clearly underfits both W' and CP
- Asym-loss-A overfits Pmax
- Asym-loss-B looks most balanced (my subjective pick), but CP appears overestimated (note: from this data alone, not according to 2-param asymmetric-loss and my own estimations)

Question: Which approach do you think gives the best fit for the 3-param CP model? (Does it matter?)

The three-dimensional impulse-response model: Modeling the training process in accordance with energy system-specific adaptation Athletic training is characterized by physiological systems responding to repeated exercise-induced stress, resulting in gradual alterations in the functional properties of these systems. The adaptive...

I'm building a new Paper Playground for this paper: arxiv.org/abs/2503.14841
This gives me a chance to revisit asymmetric loss functions for fitting the 3-parameter CP model (following up on my earlier blog here: gssns.io/posts/asymme...)

New blog: Mean-max sampling
gssns.io/posts/mean-m...

New tutorial: "One-Off Analysis Scripts: Cycling Torque Example"
developer.sweatstack.no/tutorials/on...

And by "Vibe Coding" I mean procrastinating from accounting by adding completely unnecessary features to console.sweatstack.no.

Friday Vibe Coding

The same approach can be extended to other power duration models (such as the OmPD model) on more detailed mean-max data, showing the same effect of tightly fitting around proven maximal efforts while ignoring submaximal efforts: