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Show HN: A Golang CP/M emulator

Show HN: Peanut Butter Spinner

Show HN: Peanut Butter Spinner

Show HN: Peanut Butter Spinner

Show HN: Peanut Butter Spinner

Show HN: Autopilot for my little HTML game called Andromeda Invaders

The entire game is implemented as a single HTML page, so it is easy to read the source code of this game and that of the autopilot by viewing the source of the page.<p>For convenience, here is a direct link to the autopilot source code: <a href="https://github.com/susam/invaders/blob/0.9.0/invaders.html#L389-L496">https://github.com/susam/invaders/blob/0.9.0/invaders.html#L...</a>

Show HN: Drivr – VR with real vehicles [video]

This project combines VR with a real vehicle that you are controlling (or is controlling itself, in some scenarios). One advantage this has over traditional VR motion experiences is that your senses all agree with each other, thus greatly reducing the likelihood of motion sickness.<p>The go-kart seen in this video is drive-by-wire and steer-by-wire, so the system will not let the player exit the defined safe area. If a player goes off course, the vehicle will take control, and return them to the start. The autonomous capabilities also allow for games where the player can focus on other objectives other than driving, such as target shooting.<p>No infrastructure is required other than the vehicle and an open place to drive (which honestly has been the most challenging part lately).<p>If you're interested in this project, I'd love to connect!

Show HN: Drivr – VR with real vehicles [video]

This project combines VR with a real vehicle that you are controlling (or is controlling itself, in some scenarios). One advantage this has over traditional VR motion experiences is that your senses all agree with each other, thus greatly reducing the likelihood of motion sickness.<p>The go-kart seen in this video is drive-by-wire and steer-by-wire, so the system will not let the player exit the defined safe area. If a player goes off course, the vehicle will take control, and return them to the start. The autonomous capabilities also allow for games where the player can focus on other objectives other than driving, such as target shooting.<p>No infrastructure is required other than the vehicle and an open place to drive (which honestly has been the most challenging part lately).<p>If you're interested in this project, I'd love to connect!

Show HN: Drivr – VR with real vehicles [video]

This project combines VR with a real vehicle that you are controlling (or is controlling itself, in some scenarios). One advantage this has over traditional VR motion experiences is that your senses all agree with each other, thus greatly reducing the likelihood of motion sickness.<p>The go-kart seen in this video is drive-by-wire and steer-by-wire, so the system will not let the player exit the defined safe area. If a player goes off course, the vehicle will take control, and return them to the start. The autonomous capabilities also allow for games where the player can focus on other objectives other than driving, such as target shooting.<p>No infrastructure is required other than the vehicle and an open place to drive (which honestly has been the most challenging part lately).<p>If you're interested in this project, I'd love to connect!

Show HN: Drivr – VR with real vehicles [video]

This project combines VR with a real vehicle that you are controlling (or is controlling itself, in some scenarios). One advantage this has over traditional VR motion experiences is that your senses all agree with each other, thus greatly reducing the likelihood of motion sickness.<p>The go-kart seen in this video is drive-by-wire and steer-by-wire, so the system will not let the player exit the defined safe area. If a player goes off course, the vehicle will take control, and return them to the start. The autonomous capabilities also allow for games where the player can focus on other objectives other than driving, such as target shooting.<p>No infrastructure is required other than the vehicle and an open place to drive (which honestly has been the most challenging part lately).<p>If you're interested in this project, I'd love to connect!

Show HN: Drivr – VR with real vehicles [video]

This project combines VR with a real vehicle that you are controlling (or is controlling itself, in some scenarios). One advantage this has over traditional VR motion experiences is that your senses all agree with each other, thus greatly reducing the likelihood of motion sickness.<p>The go-kart seen in this video is drive-by-wire and steer-by-wire, so the system will not let the player exit the defined safe area. If a player goes off course, the vehicle will take control, and return them to the start. The autonomous capabilities also allow for games where the player can focus on other objectives other than driving, such as target shooting.<p>No infrastructure is required other than the vehicle and an open place to drive (which honestly has been the most challenging part lately).<p>If you're interested in this project, I'd love to connect!

Show HN: I built a website to create financial models for any stock online

Show HN: I built a website to create financial models for any stock online

Show HN: I built a website to create financial models for any stock online

Show HN: I built a website to create financial models for any stock online

Show HN: I built a website to create financial models for any stock online

Show HN: Chessdream – Generate realistic chess positions with AI

For no specific reason, I trained a neural network to generate random chess positions that look similar to positions from actual games (from lichess db). I also made it so you can condition it on some fixed pieces, and adjust the number of pieces.<p>It turned out to be quite effective and I find it surprisingly fun and instructive to generate e.g. endgame positions with a certain pawn structure (set low temperature, place some pawns and position the kings, adjust number of pieces to get an endgame), and then figure out how to win vs. the computer in those positions.<p>I hooked it up so that you can easily play vs. a computer, either via lichess analysis → continue from here, or via my own project Noctie.<p>I’m thinking about whether I could develop it further to create position variants on a certain theme that the AI thinks I need to practice, or maybe make a PvP feature where you play a random position vs. a human. Ideas or feedback?

Show HN: Chessdream – Generate realistic chess positions with AI

For no specific reason, I trained a neural network to generate random chess positions that look similar to positions from actual games (from lichess db). I also made it so you can condition it on some fixed pieces, and adjust the number of pieces.<p>It turned out to be quite effective and I find it surprisingly fun and instructive to generate e.g. endgame positions with a certain pawn structure (set low temperature, place some pawns and position the kings, adjust number of pieces to get an endgame), and then figure out how to win vs. the computer in those positions.<p>I hooked it up so that you can easily play vs. a computer, either via lichess analysis → continue from here, or via my own project Noctie.<p>I’m thinking about whether I could develop it further to create position variants on a certain theme that the AI thinks I need to practice, or maybe make a PvP feature where you play a random position vs. a human. Ideas or feedback?

Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments

Hi HN!<p>I'm Jonathan and I built Ask Hacker Search (<a href="https://hackersearch.net/ask" rel="nofollow">https://hackersearch.net/ask</a>), an LLM-powered version of Hacker News' Ask HN.<p>Unlike Ask HN, Ask Hacker Search doesn't solicit new contributions from HN readers. Instead, it leverages Hacker News' historical data to answer questions, and offers LLM-generated summaries of those. I've used it for questions like "Should I use Drizzle or Prisma?" or "What is a good screen capture that allows easy zooming effects on Mac?".<p>It is particularly useful when you're interested in understanding HN readers' sentiment about a topic, or when looking for expert insights on topics of interest to HN readers. I've been using it continually while building it, and have found it particularly useful to find software libraries recommended by HN or get quick vibe checks on hot topics.<p>This builds on my release of Hacker Search two weeks ago (<a href="https://news.ycombinator.com/item?id=40238509">https://news.ycombinator.com/item?id=40238509</a>), which offered a semantic search engine over top HN submissions. It's not just a small upgrade: covering comments was the #1 requested feature after that launch, so I rebuilt the near entirety of the product to support that.<p>Please try it out and let me know what you think of it! I have to limit the number of LLM summaries each person can get for free, as this is entirely self-funded. If you hit the limit, you can subscribe for more summaries generated by a better model ($8/month), or bring your own compute by running inference on Ollama on your machine!

Show HN: I built a LLM-powered Ask HN: like Perplexity, but for HN comments

Hi HN!<p>I'm Jonathan and I built Ask Hacker Search (<a href="https://hackersearch.net/ask" rel="nofollow">https://hackersearch.net/ask</a>), an LLM-powered version of Hacker News' Ask HN.<p>Unlike Ask HN, Ask Hacker Search doesn't solicit new contributions from HN readers. Instead, it leverages Hacker News' historical data to answer questions, and offers LLM-generated summaries of those. I've used it for questions like "Should I use Drizzle or Prisma?" or "What is a good screen capture that allows easy zooming effects on Mac?".<p>It is particularly useful when you're interested in understanding HN readers' sentiment about a topic, or when looking for expert insights on topics of interest to HN readers. I've been using it continually while building it, and have found it particularly useful to find software libraries recommended by HN or get quick vibe checks on hot topics.<p>This builds on my release of Hacker Search two weeks ago (<a href="https://news.ycombinator.com/item?id=40238509">https://news.ycombinator.com/item?id=40238509</a>), which offered a semantic search engine over top HN submissions. It's not just a small upgrade: covering comments was the #1 requested feature after that launch, so I rebuilt the near entirety of the product to support that.<p>Please try it out and let me know what you think of it! I have to limit the number of LLM summaries each person can get for free, as this is entirely self-funded. If you hit the limit, you can subscribe for more summaries generated by a better model ($8/month), or bring your own compute by running inference on Ollama on your machine!

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