Laura 🌲 ⛰️ ✓
@LauraDeming · joined 19 May 2011
CEO of @untillabs I enjoy helping new technologies into the Overton window of acceptable discourse
254 358Followers
251Following
2 096Posts total
672KViews on collected posts
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this is (to our knowledge) the largest cryo chemical campaign ever run!
we’ve physically screened over 7,000 new chemical entities, most of which were not previously associated with cryopreservation
last quarter, we did 2,943 formulation runs for biocompatibility, across a
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We’re making progress on one of cryobiology's biggest challenges: finding biocompatible cryoprotectants.
Our latest blog post dives into how we built our cryoprotectant discovery engine that scaled up the search from a few dozen candidate molecules to over 250,000, and is https:
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Hi! I'm hosting a meetup this Thursday 6-8pm to talk about what cryosleep could look like in the future - if you're interested to come, please read the full description below to understand what we'll talk about, and if it sounds like a fit Luma link is below that!
I'm most
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This Focused Research Organization launched in 2025, and they already have their first Nature paper out!
Hear that again - the telescope didn't START construction until Q1 2025, and they already have incredible new findings about an object that thousands have looked at before.
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Come work at Until!
Isla joined as 3rd employee and now runs one of the most important programs in the company.
Every seat at Until matters - you’ll be held to the highest intellectual standard + expected to contribute across disciplines, in every case on work core to company
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What does a day building the future of organ transplantation actually look like?👀
Spend a minute inside Until Labs with Isla, our Director of Preclinical Research.
If you want to help scale reversible cryopreservation, we're hiring! (link below👇) https://t.co/b6NS0Jww4l
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1:23
@LauraDeming @foundersfund Great intermediate goal and revenue towards the big one.
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@LauraDeming @foundersfund congrats laura! this is so exciting
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Taking a first step towards hibernation pods :)
Just announced a $58M Series A led by @foundersfund to back the core roadmap
reversibly cryopreserve human organs ->
help transplant patients + build sustainable business ->
accelerate R&D for whole body cryo
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@LauraDeming There's lots of great ongoing work on this question! I'm happy to answer questions about it to the extent that I can, if you have any.
https://t.co/qWZGJNcJbt
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@LauraDeming This article by Uffink is pretty good: https://t.co/TbUxyqje4D
1) Indeed we can't expect ergodicity
2) We don't really need ergodicity, but only the *conclusion* of the ergodic theorem, i.e. equality of time and phase space averages
3) That assumption is a *dynamical
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There is lots of great ongoing work in physics on exactly this question: when does the ergodic hypothesis (e.g., entropy maximization) hold and when does it not? In other words, when does thermodynamics work and when does it not?
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@LauraDeming Yes, attractor states/dissipative systems dont satisfy ergodicity. It was mainly adopted to be able to define thermodynamic equilibrium at the very beginnings of the field.
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I don't...buy the ergodic hypothesis in stat mech. Any recs for how to get comfortable (even empirical?)
Seems just obviously not something that follows from first principles - unless it's like every system is noisy and that's why? But aren't there attractor trajectories that
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Against accounts of the same size
7 posts from the last 90 days, next to the 100K–1M follower range. shown widely, but few of those viewers react.
Median views16 631this account3 974median for 100K–1M
Reach, %6.54%this account1.54%median for 100K–1M
Engagement, %0.36%this account1.32%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 16 631 | 3 974 | 4.18× |
| Reach (views ÷ followers) | 6.54% | 1.54% | 4.25× |
| Engagement rate | 0.36% | 1.32% | 0.27× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
2.9K3 Jun
198
621
449.3K22 Sep
4.5K
5.5K
794
20.1K28 Jul
16.5K31 Jul
22.3K12 Aug
11.8K
14.9K18 Aug
92.7K2 Sep
16.6K3 Sep
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.69%3 Jun
2.02%
0.32%
0.31%22 Sep
0.54%
0.26%
1.13%
0.17%28 Jul
0.41%31 Jul
0.25%12 Aug
0.25%
0.61%18 Aug
0.36%2 Sep
1.10%3 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 1.32%.
What the audience does
Likes75.2%2 008 in total
Reposts5.2%139 in total
Replies6.3%169 in total
Quotes0.1%3 in total
Bookmarks13.1%350 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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