pbadg3r
Specifically, communities of microbes could return humans to a pre-industrial baseline gut microbiome, treating more than 20 diseases in markets worth more than $500B per year.
Happy to answer questions!
Definitely not for scaling, but for deploying prototypes this approach is awesome! Eg use the Pi to create some prototypes, get user feedback, launch a kickstarter, do what you said. I worked at robotics startup that did this, worked super well for our first robots. Podcast about it: podcasts.apple.com/us/podcast/erik-schluntz-cobalt-robotics/id1649845905?i=1000584727151
Author calls this "fraught with problems, susceptible to abuse, and ultimately impractical."
But it's hard to imagine any other approach working for long. You can try to make your content better than AIs, but as AI models incorporate more details, and get more feedback on how to get positive responses on social media, AI posts will dominate. With institutional verification, you can imagine Apple + other OS makers pushing OS updates that check whether actual keys are being used to write things, and copy-paste gets disabled when posting. Sure, there's new software to build, but it's the only approach that seems practical in a 3-15 year time horizon.
All feedback is welcome! Note: it's less applicable for devs at larger companies.
Segment now helps 25,000 companies get customer data into >800 different tools to analyze it. They process roughly a trillion API calls per month.
Hear from Calvin about their founding journey, and some of the great stories illustrating how Segment moves fast. Plus, hear how Calvin thinks about levels of insight in searching for new startup ideas.
Moment of destiny
Astranis is now worth >$1B and is prepping deployments that will get internet to millions of people in Alaska and Peru. They build 2-7x faster than traditional companies, shipping a first prototype satellite in 3 months, and getting to space a year later.
This podcast dives into what makes Astranis move fast, including John's thoughts on when to go slow, and examples of scrappiness and hustle, like building their own clean room and using an SF park for satellite testing.
Spotify: https://open.spotify.com/episode/4JmXZnJxQ6zx3Sjxh1Ns7c Apple podcasts: https://podcasts.apple.com/us/podcast/john-gedmark-astranis/...
Podcast with John Gedmark of Astranis (YC W16) on Speed
In all seriousness, I think it's been fairly well optimized to generate outrage and get people clicking the article, whereby many readers will reach the conclusions you mention.
E.g. Dream: I saw my mom and gave her a hug.
Posited cause: I've been thinking about my mom a lot recently because her birthday was last week and I really miss her.
(edited for formatting)
Open the front door: You can do this with a $5k investment in some IoT + automated door opener
Get the mail: Curious what subtasks you imagine here (e.g. outdoor vs indoor, pick up packages, climb stairs, etc)
Put shoes where they need to be, pick up socks: This could totally work today if you don't need to open doors and you don't mind organization on piles in the floor, but I think the use case isn't compelling enough on it's own to create sufficient demand.
Dust/mop/broom: lots of people have robots for floors, but higher surfaces are hard to make work. Despite this, some teams have worked on bathroom-cleaning robots with this capability.
Mow the lawn: https://www.pcmag.com/picks/the-best-robot-lawn-mowers
Fold towels: Not that hard, but small market
Fold clean clothes from a basket: Super hard if you never want to destroy the clothes, and hard even if you can destroy some clothes.
Clean toilets, replace toilet paper: People are trying! Not going to be in homes for 5+ years though.
Scoop out kitty poops: products like this exist, but you still have to manually unload them to a trash can.
Make the bed: https://www.youtube.com/watch?v=qzNZrFhBeoY haha
Fatal opioid use is less common with wealthy folks, and great diet + exercise + friends (easier if you're rich) are all good prevention mechanisms against antibiotic resistant bacteria.
Cobalt builds autonomous security robots that keep buildings secure by combining the reliability of machines and the friendly face of human-in-the-loop “pilots”. Security costs US companies $33B / year, and is a very difficult task for humans to perform because of long monotonous hours. We’re a team of 12 and are raising our Series A.
We have robots deployed to customers throughout San Francisco and are an incredibly fast moving team - we went from nothing to shipping our first robots in 12 months! We're looking for folks who know more than us and can bring their expertise to the team.
————Three Reasons to Join Cobalt————
We ship complex products - fast! We went from nothing to paid robot deployments in 12 months, and do over-the-air updates to our robots every two weeks. Our team hails from Google[X], SpaceX, MIT, Harvard, and Georgia Tech. Both founders have deep experience in Robotics and have previously started YCombinator backed companies. We are collaborative, respectful and fun-loving, and want to hire folks who feel the same way.
Frontend Engineer: Lead development of control interfaces and dashboards to help humans and machines work together.
Full-stack Web Engineer: Build out React + Django stack to provide intelligence, resiliency, and monitoring to the Cobalt fleet.
Systems Engineer: Improve Linux systems to increase reliability and performance wherever our system touches the OS.
Security Engineer: Protect our cloud infrastructure, our client interfaces, and our robots from network or physical threats.
Designer: Shape the visual style of our web designs, robot control interfaces, dashboards, and marketing materials.
Interested? Email careers at cobaltrobotics dot com with a link to your Github and your resume.