Texas Senate passes bill requiring solar plants to provide power at night
5 by xbmcuser | 0 comments on Hacker News.
5 by xbmcuser | 0 comments on Hacker News.
Ask HN: How are you acquiring your first hundred users?
9 by amanchanda | 10 comments on Hacker News.
I am building a B2C AI SaaS with $50/month price. How would you go about getting with first 100 users and then the next 500 users. What we are currently doing:1) Cold outreach to power users - to convert them into affiliates.2) Cold outreach to individuals who have target ICP communities.3) SEO for more long term (not for the first 500)
9 by amanchanda | 10 comments on Hacker News.
I am building a B2C AI SaaS with $50/month price. How would you go about getting with first 100 users and then the next 500 users. What we are currently doing:1) Cold outreach to power users - to convert them into affiliates.2) Cold outreach to individuals who have target ICP communities.3) SEO for more long term (not for the first 500)
Low-intensity transcranial focused ultrasound amygdala neuromodulation
6 by PaulHoule | 0 comments on Hacker News.
6 by PaulHoule | 0 comments on Hacker News.
The world could run on older hardware if software optimization was a priority
74 by turrini | 40 comments on Hacker News.
74 by turrini | 40 comments on Hacker News.
Launch HN: Miyagi (YC W25) turns YouTube videos into online, interactive courses
3 by bestwillcui | 0 comments on Hacker News.
Hey HN, we’re Tyrone and Guang, founders of Miyagi Labs ( https://miyagilabs.ai ), an AI-powered education platform that transforms educational YouTube videos into interactive courses. It helps you learn better through active practice and personalized feedback. We use LLMs to automatically generate quizzes, practice questions, and real-time feedback from any educational video or resource—turning passive watching into active learning. Here’s a short demo: https://youtu.be/alO7FaorHOY . Improving education has always been tricky. Bloom’s 2-sigma problem (showing that a high-quality personal tutor is far more effective than conventional methods) has persisted, even as technology has advanced. We met at MIT as CS majors and have always been passionate about education. Over the years, we’ve become teachers and experts in subjects like chess, algorithms, math, languages, and ninja warrior. A common theme was that we both heavily relied on YouTube to learn. YouTube has incredible content for learning pretty much anything, but it’s buried in a lot of distractions. Also, passively watching videos is far less effective than taking notes, asking questions, and doing practice problems, which is what we aim to do with Miyagi Labs. Our solution is essentially a multi-step function that takes in a YouTube playlist (or list of any resources) and outputs an entire course with summaries, questions, answers, and more. The pipeline is roughly: video/resource —> transcript/text —> chunks —> summary and question —> answers to questions, with some other features along the way. We mostly use prompting and different models at each step to make the course as useful as possible. Certain topics require more practice problems vs. comprehension, and we’d use reasoning models for highly technical subjects. We launched about three months ago and currently have 400+ courses and partnerships with some businesses and awesome creators. Some of our popular courses include 3Blue1Brown’s linear algebra course, a botany course on plants and ecology, and YC’s How to Start a Startup series. Our product resembles classical MOOC-style course platforms in terms of UI, but is more interactive. It’s really easy to ask a question or receive custom feedback compared to a static course on Coursera. It’s also comparable to AI tutor sites, but we try to build more of a community and require less activation energy as a learner. We’re basically betting that AI can hugely improve education, but that students still want to learn from their favorite creators and want baseline shared resources for standard topics that are then augmented with personalized features. You can try it here: https://miyagilabs.ai (no login required for most courses—but if you sign up you can also create your own course). We’d love your feedback on what kinds of videos/resources you’d like to learn from, what’s missing from current learning tools, and if you know any creators or educators who would like to collaborate. Happy to hear any feedback and answer any questions!
3 by bestwillcui | 0 comments on Hacker News.
Hey HN, we’re Tyrone and Guang, founders of Miyagi Labs ( https://miyagilabs.ai ), an AI-powered education platform that transforms educational YouTube videos into interactive courses. It helps you learn better through active practice and personalized feedback. We use LLMs to automatically generate quizzes, practice questions, and real-time feedback from any educational video or resource—turning passive watching into active learning. Here’s a short demo: https://youtu.be/alO7FaorHOY . Improving education has always been tricky. Bloom’s 2-sigma problem (showing that a high-quality personal tutor is far more effective than conventional methods) has persisted, even as technology has advanced. We met at MIT as CS majors and have always been passionate about education. Over the years, we’ve become teachers and experts in subjects like chess, algorithms, math, languages, and ninja warrior. A common theme was that we both heavily relied on YouTube to learn. YouTube has incredible content for learning pretty much anything, but it’s buried in a lot of distractions. Also, passively watching videos is far less effective than taking notes, asking questions, and doing practice problems, which is what we aim to do with Miyagi Labs. Our solution is essentially a multi-step function that takes in a YouTube playlist (or list of any resources) and outputs an entire course with summaries, questions, answers, and more. The pipeline is roughly: video/resource —> transcript/text —> chunks —> summary and question —> answers to questions, with some other features along the way. We mostly use prompting and different models at each step to make the course as useful as possible. Certain topics require more practice problems vs. comprehension, and we’d use reasoning models for highly technical subjects. We launched about three months ago and currently have 400+ courses and partnerships with some businesses and awesome creators. Some of our popular courses include 3Blue1Brown’s linear algebra course, a botany course on plants and ecology, and YC’s How to Start a Startup series. Our product resembles classical MOOC-style course platforms in terms of UI, but is more interactive. It’s really easy to ask a question or receive custom feedback compared to a static course on Coursera. It’s also comparable to AI tutor sites, but we try to build more of a community and require less activation energy as a learner. We’re basically betting that AI can hugely improve education, but that students still want to learn from their favorite creators and want baseline shared resources for standard topics that are then augmented with personalized features. You can try it here: https://miyagilabs.ai (no login required for most courses—but if you sign up you can also create your own course). We’d love your feedback on what kinds of videos/resources you’d like to learn from, what’s missing from current learning tools, and if you know any creators or educators who would like to collaborate. Happy to hear any feedback and answer any questions!
How the United States Gave Up Being a Science Superpower
46 by enescakir | 11 comments on Hacker News.
46 by enescakir | 11 comments on Hacker News.
FlyLoop – AI Agent for Scheduling Meetings and Managing Your Calendar
3 by localbuilder | 0 comments on Hacker News.
Hey HN! I'm Mike from FlyLoop (https://getflyloop.com). FlyLoop automates meeting scheduling for you, like your own executive assistant. You chat with Flyloop in plain English to manage your calendar and schedule meetings with your teammates. Demo video: https://youtu.be/ODgHilaWvA0 I built FlyLoop because scheduling meetings has always been tedious and time-consuming. I've wasted a lot of time combing through my teammates’ calendars just to find a meeting slot - then I remember that someone is in a different time zone and have to start all over. Another big pain point has been the maintenance that comes with being the owner of a meeting. If one core participant can no longer make it, I’m stuck juggling calendars again to reschedule. It’s exhausting. That’s what sparked the idea for FlyLoop - a tool that takes the hassle out of scheduling and is simple to use. FlyLoop is an AI agent that integrates with your team's messaging and calendar tools. Just tell FlyLoop things like: - "Set up a 30 minute sync with John, Maria, and Angela next week." - "Find the next available time for our engineering standup tomorrow." - "Reschedule my afternoon calls on Friday, I'll be OOO." - "What are some time slots I can meet with Katie and Mark early next week?" FlyLoop creates meetings by looking up the schedule of each participant you want to add and finding availability that works for everyone. It can also modify existing meetings you own, such as renaming, rescheduling, and changing the participant list. FlyLoop is currently in private beta, and we're looking to work closely with a few organizations to get feedback and refine the product before a public release. We currently integrate with Slack and Google Calendar, but we can prioritize adding support for other providers such as Teams/Outlook if folks are interested. Our priority is to get early feedback, so we are pricing FlyLoop at cost to run the service for your team. We’ll create invoices based on your team’s usage, and as we grow, we plan to transition to a more standard per-seat pricing model. If you’re interested in trying it out, please fill out this form to get beta access https://ift.tt/Q0rBqbW or email me at mike@getflyloop.com, and I can help answer any questions you may have. Thank you for reading! We look forward to hearing your feedback.
3 by localbuilder | 0 comments on Hacker News.
Hey HN! I'm Mike from FlyLoop (https://getflyloop.com). FlyLoop automates meeting scheduling for you, like your own executive assistant. You chat with Flyloop in plain English to manage your calendar and schedule meetings with your teammates. Demo video: https://youtu.be/ODgHilaWvA0 I built FlyLoop because scheduling meetings has always been tedious and time-consuming. I've wasted a lot of time combing through my teammates’ calendars just to find a meeting slot - then I remember that someone is in a different time zone and have to start all over. Another big pain point has been the maintenance that comes with being the owner of a meeting. If one core participant can no longer make it, I’m stuck juggling calendars again to reschedule. It’s exhausting. That’s what sparked the idea for FlyLoop - a tool that takes the hassle out of scheduling and is simple to use. FlyLoop is an AI agent that integrates with your team's messaging and calendar tools. Just tell FlyLoop things like: - "Set up a 30 minute sync with John, Maria, and Angela next week." - "Find the next available time for our engineering standup tomorrow." - "Reschedule my afternoon calls on Friday, I'll be OOO." - "What are some time slots I can meet with Katie and Mark early next week?" FlyLoop creates meetings by looking up the schedule of each participant you want to add and finding availability that works for everyone. It can also modify existing meetings you own, such as renaming, rescheduling, and changing the participant list. FlyLoop is currently in private beta, and we're looking to work closely with a few organizations to get feedback and refine the product before a public release. We currently integrate with Slack and Google Calendar, but we can prioritize adding support for other providers such as Teams/Outlook if folks are interested. Our priority is to get early feedback, so we are pricing FlyLoop at cost to run the service for your team. We’ll create invoices based on your team’s usage, and as we grow, we plan to transition to a more standard per-seat pricing model. If you’re interested in trying it out, please fill out this form to get beta access https://ift.tt/Q0rBqbW or email me at mike@getflyloop.com, and I can help answer any questions you may have. Thank you for reading! We look forward to hearing your feedback.