Lithos Carbon | Full-Stack Engineer, Data Scientist/Engineer, and Applied Statistician | Hybrid (SF Bay Area, Seattle) and US Remote | Full-time
Hey everyone — we're a startup that's scaling a form of durable carbon dioxide removal called enhanced rock weathering. In addition to the critical efforts around decarbonization and emissions mitigations, you might have heard of efforts to scale carbon removal to mop up the remainder. Even so, we need to create an entirely new industry capable of removing tens of billions of tons of CO2 within the next decade.
Our bet at Lithos is that the best chance of success is by leveraging three industries already capable of this scale: agriculture, mining, and transportation. Rock weathering is a key part of the Earth's geologic carbon cycle, and has acted as a crucial "global thermostat" to keep Earth habitable — but it normally takes millennia. By enhancing this process, we can speed up the reaction to have meaningful effects within human timescales.
On a day-to-day basis, this involves planning, coordinating, tracking, and optimizing a distributed physical supply chain. We're looking for full-stack engineers, data scientists, and applied statisticians to build the next iteration of our platform under 10x operational growth, and design what will become the "operating system" for enhanced weathering at scale. There's a diverse set of challenges spanning interactive geospatial tooling, map and document digitization, laboratory sample management, logistical routing and optimization, and scientific modeling.
We are hiring for Senior-level roles in:
- Full-Stack Engineering
- Data Science & Data Engineering
- Applied Statistics
If you have experience of any kind in farming, commercial agriculture, geospatial data / GIS, farm management software, building tools for semi-technical power users (think Excel/Airtable/Google Earth), or working on offline applications, please mention this in your email - we'd love to hear about it!
You can reach out to us directly via hn [at] lithoscarbon.com
Lithos Carbon | Full-Stack Engineer, Data Scientist, and Applied Statistician | Hybrid (SF Bay Area, Seattle) | Full-time
Hey everyone — we're a startup that's scaling a form of durable carbon dioxide removal called enhanced rock weathering. In addition to the critical efforts around decarbonization and emissions mitigations, you might have heard of efforts to scale carbon removal to mop up the remainder. Even so, we need to create an entirely new industry capable of removing tens of billions of tons of CO2 within the next decade.
Our bet at Lithos is that the best chance of success is by leveraging three industries already capable of this scale: agriculture, mining, and transportation. Rock weathering is a key part of the Earth's geologic carbon cycle, and has acted as a crucial "global thermostat" to keep Earth habitable — but it normally takes millennia. By enhancing this process, we can speed up the reaction to have meaningful effects within human timescales.
On a day-to-day basis, this involves planning, coordinating, tracking, and optimizing a distributed physical supply chain. We're looking for full-stack engineers, data scientists, and applied statisticians to build the next iteration of our platform under 10x operational growth, and design what will become the "operating system" for enhanced weathering at scale. There's a diverse set of challenges spanning interactive geospatial tooling, map and document digitization, laboratory sample management, logistical routing and optimization, and scientific modeling.
We are hiring for Senior-level roles in:
- Full-Stack Engineering
- Data Science
- Applied Statistics
If you have experience of any kind in farming, commercial agriculture, geospatial data / GIS, farm management software, building tools for semi-technical power users (think Excel/Airtable/Google Earth), or working on offline applications, please mention this in your email - we'd love to hear about it!
You can reach out to us directly via hn [at] lithoscarbon.com
Lithos Carbon | Founding Full-Stack Engineer and Data Scientist | Hybrid (SF Bay Area, Seattle) and US Remote | Full-time
Hey everyone — we're a startup that's scaling a form of durable carbon dioxide removal called enhanced rock weathering. In addition to the critical efforts around decarbonization and emissions mitigations, you might have heard of efforts to scale carbon removal to mop up the remainder. Even so, we need to create an entirely new industry capable of removing tens of billions of tons of CO2 within the next decade.
Our bet at Lithos is that the best chance of success is by leveraging three industries already capable of this scale: agriculture, mining, and transportation. Rock weathering is a key part of the Earth's geologic carbon cycle, and has acted as a crucial "global thermostat" to keep Earth habitable — but it normally takes millenia. By enhancing this process, we can speed up the reaction to have meaningful effects within human timescales.
On a day-to-day basis, this involves planning, coordinating, tracking, and optimizing a distributed physical supply chain. We're looking for founding full-stack engineers and data scientists to build the next iteration of our platform under 10x operational growth, and design what will become the "operating system" for enhanced weathering at scale. There's a diverse set of challenges spanning interactive geospatial tooling, map and document digitization, laboratory sample management, logistical routing and optimization, and scientific modeling.
I don’t think the parent response is correct, though, if by profit (colloquially) we go by earnings that could be distributed to shareholders.
Sure, gross profit would not include either of those expenses. But operating profit would subtract research and development (e.g. the salaries and bonuses of the engineers working on the next process node) and depreciation on new factory (i.e. the cost of the new factory spread out over its useful lifetime - though it doesn’t include a factory under construction). Then you subtract interest and taxes to get to net profit. And TSMC has net profit margins of 39% in 2020!
> everyday materials usually obey the Pauli exclusion principle
In the everyday case, this is pretty much always in reference to electrons (which are fermions). Even when we're talking about atoms or solids, the effects of the PEP are due to electrons: https://en.wikipedia.org/wiki/Pauli_exclusion_principle#Appl...
The quantum-mechanical wavelength of everyday whole atoms is much smaller than their physical size, so they behave as classical particles (and the PEP doesn't really apply). In contrast, electrons have wavelengths large enough that they exhibit macroscopic quantum mechanical effects in everyday scenarios.
> Since it's only a even/odd difference, I would expect that roughly half materials form composite bosons, and the other half form composite fermions, but this doesn't seem to be the case.
Every element has bosonic and fermionic isotopes. Neutral atoms have equal numbers of protons and electrons, so any neutral atom with an odd number of neutrons is a composite fermion, and any neutral atom with an even number of neutrons is a composite boson.
The ELI15 explanation is that at these temperatures, quantum mechanical effects take over and the atoms themselves become indistinguishable from each other. They no longer have a definite position in space and experimentally act as matter waves [1].
Right, quantum jumps as used here is actually a specific technical term. It seems like the parent comment takes it to be a lay analogy, but it’s from a formulation called quantum trajectory theory [1]. Rather, the result is about the electrons in an atom jumping between energy levels and experimentally observing a continuous evolution.
I'm trying to understand the concern but most of my worry around "historical financial data" would be actual transaction-level information, not rough summary figures to estimate a financial plan.
I just played around with the site myself and I didn't see anywhere that it imports data, plus the tagline on the homepage says "never ask to link your financial accounts"?
Isn't this essentially the same risk profile as like FIREcalc [1], or the NYT Rent or Buy calculator [2], or some portfolio analysis tool [3], are you saying that those shouldn't be online calculators either?
I grew up in the US and (unfortunately) this was the first time I'd heard of such a concept. I did some research and "prison furloughs" became a key political issue in the 1988 US presidential election [1]. The federal prison system now only allows non-emergency furloughs for inmates if they are within 2 years of their release/parole date, and who did not commit a violent crime.
Prison furlough programs existed in all 50 states in the 1980s, and "almost 10 percent of state and federal prisoners received a furlough in 1987". [2][3]
Hey everyone — we're a startup that's scaling a form of durable carbon dioxide removal called enhanced rock weathering. In addition to the critical efforts around decarbonization and emissions mitigations, you might have heard of efforts to scale carbon removal to mop up the remainder. Even so, we need to create an entirely new industry capable of removing tens of billions of tons of CO2 within the next decade.
Our bet at Lithos is that the best chance of success is by leveraging three industries already capable of this scale: agriculture, mining, and transportation. Rock weathering is a key part of the Earth's geologic carbon cycle, and has acted as a crucial "global thermostat" to keep Earth habitable — but it normally takes millennia. By enhancing this process, we can speed up the reaction to have meaningful effects within human timescales.
On a day-to-day basis, this involves planning, coordinating, tracking, and optimizing a distributed physical supply chain. We're looking for full-stack engineers, data scientists, and applied statisticians to build the next iteration of our platform under 10x operational growth, and design what will become the "operating system" for enhanced weathering at scale. There's a diverse set of challenges spanning interactive geospatial tooling, map and document digitization, laboratory sample management, logistical routing and optimization, and scientific modeling.
We are hiring for Senior-level roles in:
- Full-Stack Engineering
- Data Science & Data Engineering
- Applied Statistics
If you have experience of any kind in farming, commercial agriculture, geospatial data / GIS, farm management software, building tools for semi-technical power users (think Excel/Airtable/Google Earth), or working on offline applications, please mention this in your email - we'd love to hear about it!
You can reach out to us directly via hn [at] lithoscarbon.com