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Monday, 1 February 2021

Launch HN: Albedo (YC W21) – Highest resolution satellite imagery https://bit.ly/2NR3xDn

Launch HN: Albedo (YC W21) – Highest resolution satellite imagery Hey HN! I’m Topher, here with Winston and AJ, and we’re the co-founders of Albedo ( https://bit.ly/3j8KGz6 ). We’re building satellites that will capture both visible and thermal imagery - at a resolution 9x higher than what is available today (see comparison: https://bit.ly/3pE3cSC ). My technical background is primarily in optics/imaging science related to remote sensing. I previously worked for Lockheed Martin, where I met AJ, who is an expert in satellite architecture and systems engineering. We’ve spent most of our career working on classified space systems, and while the missions we were involved with are super cool, that world is slower to adopt the latest new space technologies. We started Albedo in order to create a new type of satellite architecture that captures high resolution imagery at a fraction of the cost historically required. Winston was previously a software engineer at Facebook, where he frequently used satellite imagery and realized the huge potential of higher resolution datasets. While the use cases for satellite imagery are endless, adoption has been underwhelming - even for obvious and larger applications like agriculture, insurance, energy, and mapping. The main limitations that have prevented widespread use are high cost, inaccessibility, and low resolution. Today, buying commercial satellite imagery involves a back-and-forth with a salesperson in a sometimes months-long process, with high prices that exclude all but the biggest companies. This process needs to be simplified with transparent, commodity pricing and an automated process, where all you need to buy imagery is a credit card. On the accessibility front, it’s surprising how few providers have nailed down a streamlined, fully cloud-based delivery mechanism. While working at Facebook, Winston sometimes dealt with imagery delivered through FTP servers or physical hard drives. Another thing users are looking for is more transparency when tasking a new satellite image, such as an immediate assessment of when it will be collected. These are all problems we are working on solving at Albedo. On the space side, we’re able to achieve the substantial cost savings by taking advantage of emerging space technologies, two of which are electric propulsion and on-orbit refueling. Our satellites will fly super close to the earth, essentially in the atmosphere, enabling 10cm resolution without having to build a school bus sized satellite. Electric propulsion makes the fuel on our satellites way more efficient, at the expense of low thrust. Think about it like your car gasoline going from 30 to 300 mpg, but you could only drive 5 mph. Our propulsion only needs to maintain a steady offset to the atmospheric drag, so low thrust and high efficiency is perfect. By the time our first few satellites run out of fuel, on-orbit refueling will be a reality, and we can just refill our tanks. We’re still in the architecture and design phase, but we expect to have our first few satellites flying in 2024 and the full constellation up in 2027. The current climate crisis requires a diverse set of sensors in space to support emissions monitoring, ESG initiatives/investments, and infrastructure sustainability. Thermal sensors are a key component for this, and very few are currently in orbit. Since our satellites are larger than normal, they are uniquely suited to capture the long wavelengths of thermal energy at a resolution of 2 meters. We’ll also be taking advantage of advances in microbolometer technology, to eliminate the crazy cooling requirements that have made thermal satellites so expensive in the past. The current state-of-the-art for thermal resolution is 70 meters, which is only marginally useful for most applications. We’re aiming to adopt the stance of being a pure data provider (i.e. not doing analytics). We think the best way to facilitate overall market growth is to do one thing incredibly well: sell imagery better, cheaper, and faster than what users have available today. While this allows us to be vertical agnostic, some of our more well-suited applications include: crop health monitoring, pipeline inspection, property insurance underwriting/weather damage evaluation, and wildfire/vegetation management around power lines. By making high-res imagery a commodity, we are also betting on it unlocking new applications in a similar fashion to GPS (e.g. Tinder, Pokemon Go, and Uber). One last thing - new remote sensing regulations were released by NOAA last May, removing the previous limit on resolution. So between the technology side and regulatory side, the timing is kind of perfect for us. All thoughts and questions are appreciated - and we’d love to hear if you know of any companies that could benefit from our imagery. Thanks for reading! February 1, 2021 at 03:45PM

Sunday, 31 January 2021

Show HN: Deploy ML Models on a Budget https://bit.ly/36xSPYS

Show HN: Deploy ML Models on a Budget https://bit.ly/2YzFw5O February 1, 2021 at 08:07AM

Show HN: I Built Conway's Game of Life for Ethereum https://bit.ly/3oJC0Rj

Show HN: I Built Conway's Game of Life for Ethereum https://bit.ly/3pDxogv February 1, 2021 at 03:23AM

Show HN: Send Messages to Discord, Mail, MS-Teams, Slack and Telegram in Go https://bit.ly/3jc5VQU

Show HN: Send Messages to Discord, Mail, MS-Teams, Slack and Telegram in Go https://bit.ly/2NTXH4g February 1, 2021 at 02:06AM

Show HN: A retrainable subtitle synchronizer you can now build your own https://bit.ly/2Yuo82z

Show HN: A retrainable subtitle synchronizer you can now build your own https://bit.ly/39AffuL February 1, 2021 at 02:15AM

Show HN: Nyan – Python game library inspired by Scratch https://bit.ly/3aoFZgT

Show HN: Nyan – Python game library inspired by Scratch https://bit.ly/3j5onuh January 31, 2021 at 11:50PM

Show HN: Convert Tweets to Images https://bit.ly/2MkSSk2

Show HN: Convert Tweets to Images https://bit.ly/2Yw67kl January 31, 2021 at 11:44PM

Show HN: A brainstorming tool written in Elixir with Phoenix Live Views https://bit.ly/2Mdcsih

Show HN: A brainstorming tool written in Elixir with Phoenix Live Views https://bit.ly/3tgTJmC January 31, 2021 at 09:04PM

Show HN: I built a dashboard where you can monitor my not scrapers https://bit.ly/3j5pvOC

Show HN: I built a dashboard where you can monitor my not scrapers https://bit.ly/3teaq20 January 31, 2021 at 10:00PM

Show HN: YaHNd – HN Books: The Best Books of Hacker News https://bit.ly/3ozbTw7

Show HN: YaHNd – HN Books: The Best Books of Hacker News https://bit.ly/3teTuIn January 31, 2021 at 07:01PM

Show HN: KeenWrite, a Desktop Text Editor https://bit.ly/3owbw5D

Show HN: KeenWrite, a Desktop Text Editor https://bit.ly/3aoULnG January 31, 2021 at 09:20PM

Show HN: Free tool for A/B testing Hacker News titles with machine learning https://bit.ly/2MHuF7q

Show HN: Free tool for A/B testing Hacker News titles with machine learning https://bit.ly/2YvN4GP January 31, 2021 at 08:46PM

Show HN: League of Legends Build Orders by Genetic Algorithm https://bit.ly/3r88WEC

Show HN: League of Legends Build Orders by Genetic Algorithm https://bit.ly/3jbs8yw January 30, 2021 at 01:34PM

Show HN: InstantRemix.com – Mashup Any Two Songs Instantly https://bit.ly/3tnw6J4

Show HN: InstantRemix.com – Mashup Any Two Songs Instantly https://bit.ly/3oyhsuU January 31, 2021 at 06:24PM

Show HN: trex_exporter – Prometheus Exporter for T-Rex Nvidia GPU Miner https://bit.ly/2YzkMuU

Show HN: trex_exporter – Prometheus Exporter for T-Rex Nvidia GPU Miner https://bit.ly/3tgmorF January 31, 2021 at 05:47PM

Launch HN: LayerCI (YC S20) - Staging servers that act like (and replace) CI https://bit.ly/2MJdodL

Launch HN: LayerCI (YC S20) - Staging servers that act like (and replace) CI Hi HN, Lyn & Colin here. We’re co-founders of LayerCI (https://bit.ly/2Whh73B), which gives you a modern DevOps experience (CI/CD & staging environments) with as little work as writing a Dockerfile. Most teams need CI/CD (run the build and deploy every time a developer pushes) or staging (host a server with my app in it to share), but current approaches always have at least one of these problems: - Simplistic (only run unit tests) - Slow (wait 10 minutes to run the same repetitive setup steps like "npm install") - Complex (cache keys, base images, a slack channel to reserve staging servers, …) We’ve spent over a year iterating with our customers to build a product that solves all of these problems. Our configuration files (Layerfiles) look like Dockerfiles, so regular developers can write and maintain them. Here's one that creates a staging server for create-react-app: FROM vm/ubuntu:18.04 RUN curl -sS https://bit.ly/3ao4WJl | sudo apt-key add - && curl -fSsL https://bit.ly/3oAw5O7 | bash && apt-get install nodejs python3 make gcc build-essential COPY . . RUN npm install RUN npm test RUN BACKGROUND npm start EXPOSE WEBSITE http://localhost:3000 We charge a flat $42/mo/developer on our paid plan. Because it's a flat fee and not usage based, we're incentivized to make things as fast as possible: Our current margins come from a custom-built hibernating hypervisor that lets us avoid running "npm install" thousands of times per day. We’ve upgraded the free tier to 5GB of memory for new installations this week. It’s perfect for personal projects or small MVPs where you’d like a powerful demo server that will build on every push and automatically hibernate when it’s not being used. The easiest way to try out LayerCI is to follow our interactive tutorial: https://bit.ly/2Whh73B or look at the docs: https://bit.ly/3oBDJbd We would love to hear your thoughts about CI/CD, staging, and what we’ve built! January 31, 2021 at 05:30PM

Saturday, 30 January 2021

Show HN: Japan API – Free and Open Data https://bit.ly/36r3DZ1

Show HN: Japan API – Free and Open Data https://bit.ly/39y7zsM January 31, 2021 at 07:26AM

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