Red Planet Labs's Rama reduced page load time and write time by 100x
All this with less infrastructure: in total their Rama-based implementation reduced their AWS hosting costs by 55%.
The power of Clojure compels you
https://t.co/tQtNnIa8tN
Superhuman is being acquired by @Grammarly! 💜💚
Together, we will build the AI-native productivity suite of choice 🥇
We will invest even more deeply in AI and email, reimagine chat and collaboration, and build AI agents that unlock a whole new way of working.
More below 👇
Superhuman is being acquired by @Grammarly! 💜💚
Together, we will build the AI-native productivity suite of choice 🥇
We will invest even more deeply in AI and email, reimagine chat and collaboration, and build AI agents that unlock a whole new way of working.
More below 👇
2,850 days.
Almost 8 years.
That's how long it took to save a life.
In August of 2016 my @firstround partner, @btrenchard, led @OssiumHealth's Seed round.
And in May of 2024, a 68 year-old woman in Michigan became the first patient to receive a bone marrow transplant from a deceased donor.
When she was not able to find a bone marrow match from a living donor, she enrolled in Ossium's PRESERVE I clinical trial -- and matched with bone marrow stored in at Ossium's biobank (the only bone marrow biobank in the world).
Until now, every time an organ donor died, their bone marrow was discarded. Thrown away. Regardless of whether there was a cancer patient who was a genetic match and desperately needed that bone marrow.
Ossium figured out how to collect, process and cryopreserve bone marrow from deceased organ donors. Their network of 27 organ procurement organizations recovers bone marrow from organ donors and transports it to Ossium's facility where the company processes and manufactures the doses for the patients -- and cryopreserves it in their biobank.
Before Ossium it typically took months to find a living bone marrow donor who is: a) a genetic match, b) healthy enough, and c) willing to donate. And those are months that a blood cancer patient often doesn't have.
Today there is a woman in Michigan who is alive -- and on a great recovery trajectory from her blood cancer, because Ossium had a bone marrow unit that could match her and save her life.
Congrats to Kevin Caldwell and the entire Ossium team.
We can't wait to see the impact you have over the next 2,850 days.
More info here:
https://t.co/2PjU2DkLcf
We just raised a $10M Series A for Carry!
@carryhq_ exists to help business owners grow their net worth by saving money on taxes
In less than 2 years, we've grown to 1400+ customers, ~$900K in ARR and $35M+ in assets on our platform
And we're just getting started... 🧵
BREAKING NEWS: Introducing Pod 4 Ultra. A complete redesign of the fan-favorite @eightsleep Pod, now available in over 28 countries worldwide.
✅2x the cooling power
✅40% quieter
✅Controlled without a phone
✅10x more comfortable
✅And now with snoring detection and mitigation
Get yours today: https://t.co/lg6mxNDj8W
We are thrilled to announce that we closed a $20M Series B, giving us the opportunity to realize the next stage in our product: a full stack of financial solutions for the nonprofit, church, and philanthropy space!
Welcome to the portfolio, @flutterflow, @asmengistu, and @_agreaves!
GV’s @ejn shares how FlutterFlow is shaping the future of app development and makes it easier for designers, developers, and entrepreneurs to build mobile apps. —
https://t.co/Rudie9j57l
1 - Loyal has earned what we believe is the FDA’s first-ever formal acceptance that a drug can be developed + approved for lifespan extension
2 - We have 'technical section complete' AKA the 'does it work' data for LOY-001 - our large dog lifespan extension drug - is done
It's pretty straight forward - OpenAI spontaneously emits @sama and @gdb, producing a short-lived @miramurati that converts to an @eshear via @bradlightcap decay.
@sama and @gdb undergo @satyanadella-catalyzed fusion with @MSFTResearch in a temporary bound state.
Since @eshear is a gluon he can mediate color-charge exchanges among board members: the @hlntnr exchange with @LHSummers preserves DC charge, and @TashaMcCauley exchange with @btaylor preserves SV-charge.
@adamdangelo is his own antiparticle and so remains in place, but traveling backwards in time.
The first half now plays out in reverse-time: the @MSFTResearch superposition collapses, @bradlightcap is re-absorbed along with @sama and @gdb into a new stable bound state.
The slight mass difference between exchanged board members adds 501(c) KeV of energy, causing net acceleration of the OpenAI ensemble.