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Solid Community members shared this cool Trello clone demo which shows off some unique features: 🚀Single Flight Mutations 🤯Rerender-less Server Updates 🔥Diff-less Merged Optimistic UI Demo: Github:

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Ryan Carniato

58,086 subscribers

57,052 次观看 • 2 年前 •via X (Twitter)

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Ryan Carniato 的头像
Ryan Carniato2 年前

Big thanks to @danieljcafonso, @Cohn_Jarmack, @devagrawal09, @brenelz, and @AtilaFassina for making this possible. And shoutout to @remix_run and @ryanflorence for inspiration, and @Netlify for hosting.

Ryan Carniato 的头像
Ryan Carniato2 年前

And @tursodatabase for database and @prisma for ORM.

Julián 的头像
Julián2 年前

Can't wait for Ryan Florence review 😁

Dale 的头像
Dale2 年前

When is the @ryanflorence cut gonna drop?

Mihai-Adrian Andrei 的头像
Mihai-Adrian Andrei2 年前

Really awesome demo🤯. Ryan, are there any resources you would suggest for learning Solid Start?

Matthias Amon 的头像
Matthias Amon2 年前

Is there a @nuxt_js version out there? 🤔@danielcroe

RoboKozo 的头像
RoboKozo2 年前

This looks really slick but I'm unfamiliar with a single flight mutations. Does adding a new thing return more than the 'new thing' with a server generated id?

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✨New demo: what if vibe coding felt more visual? Brian Lovin Mary Rose Cook and I did a game jam using Notion as our "IDE": launching Cursor agents from a task board, and making a custom image for each task 😎 The demo shows 3 ideas for the future of agents: 1) Agents should collaborate across apps. Each app has its focus--Notion AI is good at drafting specs and organizing tasks; Cursor is good at coding. So let them specialize! Today we're launching a new integration where Notion AI can kick off Cursor Cloud Agents to do coding tasks. The Cursor API accepts natural language prompts, so I think of this as "cross-app sub-agents" -- it's kinda cute how it resembles humans hiring outside contractors 😊 BTW: the parallelism of cloud agents is incredibly freeing for creativity, but it also creates a new problem: sooo much work to keep track of! Which brings us to the next idea... 2) Agent orchestration is a data visualization problem. A powerful frame for designing agent UIs is to think of the chat transcripts as the "raw data" and ask: what visual projections might help people make sense of this data at scale? We need to engage our human GPUs -- our visual processing -- to understand what the computer GPUs are doing for us! One thing we can do is use AI to populate traditional UIs like progress bars and status updates. But there are also new possibilities now... For example: when you have a lot going on, it can be hard to identify tasks just by text titles. So we tried generating an AI image for each task -- turns out this helps a lot by giving it a unique visual identity! And of course, it also just makes it super fun to build with friends 😃 Speaking of friends... 3) The future of coding is collaborative. Sometimes it feels like IC engineers are being reduced to middle managers: shuffling information between the team's context and the coding agents that they individually manage. The solution: bring all the people and agents into one shared space, with shared context and visibility! In the video you can get a glimpse of how this feels. Mary, Brian and I record ourselves chatting about ideas, and then we use AI to turn that conversation into a list of tasks on a shared board. As the ideas get built in parallel, we can all monitor progress and review the work together, nothing is siloed. My main takeaway from this game jam was: damn, creativity with friends, at the speed of conversation, is incredibly fun. --- Our goal here is to let anyone use Notion as a fun and creative "software factory" to build software together with your team. Give the Cursor integration a shot and let us know what you think! (AI Image gen in Notion isn't GA yet, but coming soon and already out to some users) And let me know if you'd want a template or more detailed instructions on the setup we showed in this demo...
12:37

✨New demo: what if vibe coding felt more visual? Brian Lovin Mary Rose Cook and I did a game jam using Notion as our "IDE": launching Cursor agents from a task board, and making a custom image for each task 😎 The demo shows 3 ideas for the future of agents: 1) Agents should collaborate across apps. Each app has its focus--Notion AI is good at drafting specs and organizing tasks; Cursor is good at coding. So let them specialize! Today we're launching a new integration where Notion AI can kick off Cursor Cloud Agents to do coding tasks. The Cursor API accepts natural language prompts, so I think of this as "cross-app sub-agents" -- it's kinda cute how it resembles humans hiring outside contractors 😊 BTW: the parallelism of cloud agents is incredibly freeing for creativity, but it also creates a new problem: sooo much work to keep track of! Which brings us to the next idea... 2) Agent orchestration is a data visualization problem. A powerful frame for designing agent UIs is to think of the chat transcripts as the "raw data" and ask: what visual projections might help people make sense of this data at scale? We need to engage our human GPUs -- our visual processing -- to understand what the computer GPUs are doing for us! One thing we can do is use AI to populate traditional UIs like progress bars and status updates. But there are also new possibilities now... For example: when you have a lot going on, it can be hard to identify tasks just by text titles. So we tried generating an AI image for each task -- turns out this helps a lot by giving it a unique visual identity! And of course, it also just makes it super fun to build with friends 😃 Speaking of friends... 3) The future of coding is collaborative. Sometimes it feels like IC engineers are being reduced to middle managers: shuffling information between the team's context and the coding agents that they individually manage. The solution: bring all the people and agents into one shared space, with shared context and visibility! In the video you can get a glimpse of how this feels. Mary, Brian and I record ourselves chatting about ideas, and then we use AI to turn that conversation into a list of tasks on a shared board. As the ideas get built in parallel, we can all monitor progress and review the work together, nothing is siloed. My main takeaway from this game jam was: damn, creativity with friends, at the speed of conversation, is incredibly fun. --- Our goal here is to let anyone use Notion as a fun and creative "software factory" to build software together with your team. Give the Cursor integration a shot and let us know what you think! (AI Image gen in Notion isn't GA yet, but coming soon and already out to some users) And let me know if you'd want a template or more detailed instructions on the setup we showed in this demo...

Geoffrey Litt

89,581 次观看 • 7 个月前

Congratulations ZackeryFox🌏2️⃣👽 for your 2D concept art submission our team then took & brought to life in 3D for #Earth2🌍✌️This skin took longer given the detail & quality of the modelling but was definitely worth it! Read below for more important details & updates: The first variations of #CybercoreX will drop in about 8 hours. As mentioned in the article when we first started releasing skins, after #E2V1 officially launches we will be cutting back on #LimitedEdition skins & will predominantly focus on unlimited skins. In some cases these future unlimited skins will not be available for resale. This was always the plan as these early #LimitedEdition skins were released especially for early supporters. We will still release #LimitedEditions from time to time, but if & when we do so it will be at higher prices - which has also been mentioned numerous times in the past but I am just providing this as a reminder. I think we have 2-3 Limited Edition skins remaining before we transition into the standard skin system with unlimited skins & periodic availability - so there are not many left and these final Limited Edition drops will contain a few more rarer variations. #CybercoreX took a lot of additional work & team members strongly suggested the skin should be sold at a premium price, however I decided to keep the pricing in line with the other pre-#E2V1 Limited Edition releases. It is also important to note that as with many of the other Limited Edition skin releases with guns, the assault rifle & pistol will be sold separately. I'd also like to provide a quick update on the #E2V1 public release. The results from the initial testing group have been good so far, there are some issues we are working on fixing but nothing major. Considering it was our very first ever software release of the #Earth2 Launcher AND #E2V1, anyone with real experience releasing major software products would agree it went very smooth. Some #Players downloaded the launcher and were inside #E2V1 within 20 mins without any issues! You have major game or software developers releasing products after decades of experience & a million things go wrong .. often simple things .. our release was the dream type scenario & a real testament to our teams dedication, talent & ability! I'd like to include the option to spawn #avatars for the pre-alpha public release. The team has implemented the majority of this system with a few things remaining, which are actively being worked on at present. I just want to be clear that this NOT the avatar spawn system you have seen in demo videos to date where we just randomly spawn an avatar anywhere, that is simple & we could easily release that specific feature but it was only for demo purposes to showcase avatars can spawn anywhere in the world. To be transparent, what we are working to release now is the actual avatar spawn system intended for long term use where Players need to synthesise their #avatar from their #Mentar on their property to begin its actual life inside #E2V1. It's important to point out this involves numerous API integration, UI/UX updates and is not a simple random spawn. We anticipate there will almost surely be a number of potential bugs with this release so the plan is to first have it released to testers (WITH BUGS EXPECTED!) then stabilise & prepare for the public #E2V1 release. If you see people publishing footage of bugs online, remember we are in pre-alpha which we released to testers less than a month ago & testers are there to help us test and find issues we need to resolve. Our team is committed to fixing any major problems as they arise to improve the platform and keep moving forward. We should have avatars into the hands of testers this week. Remember, once you are inside your avatar you will not have that free camera flying ability. This makes teleportation very important for #Players who want to travel to different locations. So we will also need to start testing the teleportation system, and there is some potentially exciting news I have been keeping close to my chest which will soon be revealed. As always, thanks for your patience and support! Remember, we are literally less than one month since releasing #E2V1 to testers (less than a month ago there were still those who claimed we pre-rendered everything) so these are still early days! It may feel a little slow at first but we plan to release things to do inside of #E2V1 progressively and before you know it there will be too much to do! #Earth2 #Metaverse #E2V1
3:47

Congratulations ZackeryFox🌏2️⃣👽 for your 2D concept art submission our team then took & brought to life in 3D for #Earth2🌍✌️This skin took longer given the detail & quality of the modelling but was definitely worth it! Read below for more important details & updates: The first variations of #CybercoreX will drop in about 8 hours. As mentioned in the article when we first started releasing skins, after #E2V1 officially launches we will be cutting back on #LimitedEdition skins & will predominantly focus on unlimited skins. In some cases these future unlimited skins will not be available for resale. This was always the plan as these early #LimitedEdition skins were released especially for early supporters. We will still release #LimitedEditions from time to time, but if & when we do so it will be at higher prices - which has also been mentioned numerous times in the past but I am just providing this as a reminder. I think we have 2-3 Limited Edition skins remaining before we transition into the standard skin system with unlimited skins & periodic availability - so there are not many left and these final Limited Edition drops will contain a few more rarer variations. #CybercoreX took a lot of additional work & team members strongly suggested the skin should be sold at a premium price, however I decided to keep the pricing in line with the other pre-#E2V1 Limited Edition releases. It is also important to note that as with many of the other Limited Edition skin releases with guns, the assault rifle & pistol will be sold separately. I'd also like to provide a quick update on the #E2V1 public release. The results from the initial testing group have been good so far, there are some issues we are working on fixing but nothing major. Considering it was our very first ever software release of the #Earth2 Launcher AND #E2V1, anyone with real experience releasing major software products would agree it went very smooth. Some #Players downloaded the launcher and were inside #E2V1 within 20 mins without any issues! You have major game or software developers releasing products after decades of experience & a million things go wrong .. often simple things .. our release was the dream type scenario & a real testament to our teams dedication, talent & ability! I'd like to include the option to spawn #avatars for the pre-alpha public release. The team has implemented the majority of this system with a few things remaining, which are actively being worked on at present. I just want to be clear that this NOT the avatar spawn system you have seen in demo videos to date where we just randomly spawn an avatar anywhere, that is simple & we could easily release that specific feature but it was only for demo purposes to showcase avatars can spawn anywhere in the world. To be transparent, what we are working to release now is the actual avatar spawn system intended for long term use where Players need to synthesise their #avatar from their #Mentar on their property to begin its actual life inside #E2V1. It's important to point out this involves numerous API integration, UI/UX updates and is not a simple random spawn. We anticipate there will almost surely be a number of potential bugs with this release so the plan is to first have it released to testers (WITH BUGS EXPECTED!) then stabilise & prepare for the public #E2V1 release. If you see people publishing footage of bugs online, remember we are in pre-alpha which we released to testers less than a month ago & testers are there to help us test and find issues we need to resolve. Our team is committed to fixing any major problems as they arise to improve the platform and keep moving forward. We should have avatars into the hands of testers this week. Remember, once you are inside your avatar you will not have that free camera flying ability. This makes teleportation very important for #Players who want to travel to different locations. So we will also need to start testing the teleportation system, and there is some potentially exciting news I have been keeping close to my chest which will soon be revealed. As always, thanks for your patience and support! Remember, we are literally less than one month since releasing #E2V1 to testers (less than a month ago there were still those who claimed we pre-rendered everything) so these are still early days! It may feel a little slow at first but we plan to release things to do inside of #E2V1 progressively and before you know it there will be too much to do! #Earth2 #Metaverse #E2V1

Shane Isaac 🌍2️⃣

14,113 次观看 • 1 年前

> reflecting about Starknet outpost starknet outpost is hands down imo one of the best thing we’ve ever done, in terms of projects, in terms of the quality of founders , devs, vibes. the whole residency program felt less off like a program but more like a home but with a catch, “a home with insanely cracked devs and founders”. it’s been one hell of a crazy ride at the outpost, and I’m just too saddened that it’s coming to an end right now, well of course all good things comes to an end.. this straight up felt like a whole fucking movie with action scenes, emotional scenes and finally the movie ended with a really high note. none of this outpost would have been possible without all these devs who showed utmost trust and those who shared the same vision as us which was “playing the long term game”. there were quite a lot of ups and even greater downs but at the end what matters is, it all turned up right and the best. there were a lot of instances where these devs could have just straight up said dude “fuck off im done” with all the things that happened, but they choose to stay and it was all because of the way they chose to back their friends each other. im just soooo bullish on all of the founders, devs and team that took part in our outpost literally sat alongside everyone spent countless nights along with the devs leaving out all my personal time (my gf was pissed ofcz) all because of one reason, all these founders were soo fucking bullish on their products and wanted to go big and weren’t here for grant farming. and yesterday after three intense months, we’ve arrived just to that moment. the demo day. a day where all the late nights, the pivots, the breakthroughs, and pure perseverance came together. also none of this would have been possible without my friends on ground (Akshat ,mandar.hl , @sahilxfr ,uddalak , prathik.ai ) huge gg well guys we’ve come to an end of the pune outpost. and wanted to put this heartfelt note along with a video that just shows how close to our heart this. btw we played this video yday during the demo day, i got pretty emotional and couldn’t even do my talk properly cuz that’s the depth of how close these mfrs were. bullish on friends that I made here. Anish (buildbuildbuild arc) Suhrad Suhas 🦀 Gupta Jii (Avadam.eth) Akshat prathik.ai itsmukesh.eth @0xkeyaru KamalBuilds🗽 Agnik pratham - oss/acc 🐲 kshitij Shreyas Papinwar Gaus @abhishekb740 Aaronvern Suyash Agrawal heramb apologies if I missed anyone.
3:00

> reflecting about Starknet outpost starknet outpost is hands down imo one of the best thing we’ve ever done, in terms of projects, in terms of the quality of founders , devs, vibes. the whole residency program felt less off like a program but more like a home but with a catch, “a home with insanely cracked devs and founders”. it’s been one hell of a crazy ride at the outpost, and I’m just too saddened that it’s coming to an end right now, well of course all good things comes to an end.. this straight up felt like a whole fucking movie with action scenes, emotional scenes and finally the movie ended with a really high note. none of this outpost would have been possible without all these devs who showed utmost trust and those who shared the same vision as us which was “playing the long term game”. there were quite a lot of ups and even greater downs but at the end what matters is, it all turned up right and the best. there were a lot of instances where these devs could have just straight up said dude “fuck off im done” with all the things that happened, but they choose to stay and it was all because of the way they chose to back their friends each other. im just soooo bullish on all of the founders, devs and team that took part in our outpost literally sat alongside everyone spent countless nights along with the devs leaving out all my personal time (my gf was pissed ofcz) all because of one reason, all these founders were soo fucking bullish on their products and wanted to go big and weren’t here for grant farming. and yesterday after three intense months, we’ve arrived just to that moment. the demo day. a day where all the late nights, the pivots, the breakthroughs, and pure perseverance came together. also none of this would have been possible without my friends on ground (Akshat ,mandar.hl , @sahilxfr ,uddalak , prathik.ai ) huge gg well guys we’ve come to an end of the pune outpost. and wanted to put this heartfelt note along with a video that just shows how close to our heart this. btw we played this video yday during the demo day, i got pretty emotional and couldn’t even do my talk properly cuz that’s the depth of how close these mfrs were. bullish on friends that I made here. Anish (buildbuildbuild arc) Suhrad Suhas 🦀 Gupta Jii (Avadam.eth) Akshat prathik.ai itsmukesh.eth @0xkeyaru KamalBuilds🗽 Agnik pratham - oss/acc 🐲 kshitij Shreyas Papinwar Gaus @abhishekb740 Aaronvern Suyash Agrawal heramb apologies if I missed anyone.

Brother Akash 🥷

15,584 次观看 • 1 年前

Texas town unveils largest 3D-printed neighborhood with identical eco-friendly homes - but buyers are left shocked by prices | Daily Mail The largest 3D-printed neighborhood ever built has popped up in Texas - but the houses come with a shocking price tag. Each of the 100 single-story three-to-four-bedroom homes in the Wolf Ranch community of Georgetown, northern Austin, costs between $450,000 to $600,000. Coincidentally, the $450,000 cost is also the median price of a regular brick-and-mortar home in the Lone Star State capital, according to Redfin data. But for some, the ingenuity of the Wolf Ranch neighborhood warrants the cost. Lawrence Nourzad, a 32-year-old business development director, and his girlfriend Angela Hontas, a 29-year-old creative strategist, purchased a Wolf Ranch home earlier this summer. 'It feels like a fortress,' Nourzad said, adding that he was confident it would be resilient to most tornados. The walls also provide strong insulation from the Texas heat, the couple said, keeping the interior temperature cool even when the air conditioner wasn't on full blast. There was one other thing the 3D-printed walls seemed to protect against, however: a solid wireless internet connection. 'Obviously these are really strong, thick walls. And that's what provides a lot of value for us as homeowners and keeps this thing really well-insulated in a Texas summer, but signal doesn't transfer through these walls very well,' Nourzad said. To alleviate this issue, an official said most Wolf Ranch homeowners use mesh internet routers, which broadcast a signal from multiple units placed throughout a home, versus a traditional router that sends a signal from one device. The houses are printed using the 45-foot-wide, 4.75-ton Vulcan machine, which pipes layer by layer to build the residential homes. This summer, the robotic printer from ICON is finishing the last few of 100 3D-printed houses in Wolf Ranch. ICON began printing the walls of what it says is the world's largest 3D-printed community in November 2022. Compared to traditional construction, the company says that 3D printing homes is faster, less expensive, requires fewer workers, and minimizes construction material waste. 'It brings a lot of efficiency to the trade market,' said ICON senior project manager Conner Jenkins. 'So, where there were maybe five different crews coming in to build a wall system, we now have one crew and one robot.' Read more:
1:58

Texas town unveils largest 3D-printed neighborhood with identical eco-friendly homes - but buyers are left shocked by prices | Daily Mail The largest 3D-printed neighborhood ever built has popped up in Texas - but the houses come with a shocking price tag. Each of the 100 single-story three-to-four-bedroom homes in the Wolf Ranch community of Georgetown, northern Austin, costs between $450,000 to $600,000. Coincidentally, the $450,000 cost is also the median price of a regular brick-and-mortar home in the Lone Star State capital, according to Redfin data. But for some, the ingenuity of the Wolf Ranch neighborhood warrants the cost. Lawrence Nourzad, a 32-year-old business development director, and his girlfriend Angela Hontas, a 29-year-old creative strategist, purchased a Wolf Ranch home earlier this summer. 'It feels like a fortress,' Nourzad said, adding that he was confident it would be resilient to most tornados. The walls also provide strong insulation from the Texas heat, the couple said, keeping the interior temperature cool even when the air conditioner wasn't on full blast. There was one other thing the 3D-printed walls seemed to protect against, however: a solid wireless internet connection. 'Obviously these are really strong, thick walls. And that's what provides a lot of value for us as homeowners and keeps this thing really well-insulated in a Texas summer, but signal doesn't transfer through these walls very well,' Nourzad said. To alleviate this issue, an official said most Wolf Ranch homeowners use mesh internet routers, which broadcast a signal from multiple units placed throughout a home, versus a traditional router that sends a signal from one device. The houses are printed using the 45-foot-wide, 4.75-ton Vulcan machine, which pipes layer by layer to build the residential homes. This summer, the robotic printer from ICON is finishing the last few of 100 3D-printed houses in Wolf Ranch. ICON began printing the walls of what it says is the world's largest 3D-printed community in November 2022. Compared to traditional construction, the company says that 3D printing homes is faster, less expensive, requires fewer workers, and minimizes construction material waste. 'It brings a lot of efficiency to the trade market,' said ICON senior project manager Conner Jenkins. 'So, where there were maybe five different crews coming in to build a wall system, we now have one crew and one robot.' Read more:

Owen Gregorian

149,450 次观看 • 2 年前

Mike is back and better than ever. Mike ( has undergone a major refresh packed with new features, design improvements, and quality-of-life enhancements. And as always, everything is open source. Here is a summary of the major updates: 1. Legal research Case law hallucinations are a massive problem. To address this, Mike's assistant can now produce grounded citations backed by case law from CourtListener. The integration is tight and highly intuitive. Every answer includes links to cited cases, along with supporting quotations from judicial opinions to substantiate each proposition made by the AI. The assistant also researches cases in much the same way a lawyer would. It retrieves potentially relevant authorities, verifies the accuracy of citations, and searches for keywords that align with the research topic. Support for additional jurisdictions will be added soon. 2. Improved user interface (UI) The UI has been redesigned around Apple's Liquid Glass design principles, giving the application a cleaner and more minimalist feel down to every modal and button. Mike is designed to be a place of calm where lawyers can focus amidst the chaos of legal practice. 3. Version control Lawyers are familiar with saving documents as new versions in document management systems such as iManage and NetDocuments. Mike now brings this workflow into projects by allowing users to save new versions on top of existing documents with a simple drag-and-drop action. This introduces order and clarity to matters where redlines and document versions can quickly become confusing, especially when there are five different files named "Final Execution Version." 4. Data control Users can now export their data and permanently delete their data directly from the Settings page. 5. Security Multi-factor authentication (MFA) is now available. Users can enable MFA to protect sensitive actions within Mike, such as data deletion, and can also optionally require MFA during login. There have also been numerous backend security improvements since the previous release. 6. MCP connectors This was one of the most requested features. Users can now add MCP connectors directly from Settings. All tokens and secrets are encrypted at rest. In the demo video, I showcase the Neimo MCP from k-ID, a global age verification and compliance platform. Mike can also be connected to other MCP servers, including email systems. The setup process is currently somewhat manual, but one-click authentication and onboarding will be added in a future release. Mike now has a strong open-source community behind it and is improving every single day. The summary above highlights just some of the work that has been shipped over the past month. I'll also be doing more demos to showcase Mike's capabilities. See you soon.
7:03

Mike is back and better than ever. Mike ( has undergone a major refresh packed with new features, design improvements, and quality-of-life enhancements. And as always, everything is open source. Here is a summary of the major updates: 1. Legal research Case law hallucinations are a massive problem. To address this, Mike's assistant can now produce grounded citations backed by case law from CourtListener. The integration is tight and highly intuitive. Every answer includes links to cited cases, along with supporting quotations from judicial opinions to substantiate each proposition made by the AI. The assistant also researches cases in much the same way a lawyer would. It retrieves potentially relevant authorities, verifies the accuracy of citations, and searches for keywords that align with the research topic. Support for additional jurisdictions will be added soon. 2. Improved user interface (UI) The UI has been redesigned around Apple's Liquid Glass design principles, giving the application a cleaner and more minimalist feel down to every modal and button. Mike is designed to be a place of calm where lawyers can focus amidst the chaos of legal practice. 3. Version control Lawyers are familiar with saving documents as new versions in document management systems such as iManage and NetDocuments. Mike now brings this workflow into projects by allowing users to save new versions on top of existing documents with a simple drag-and-drop action. This introduces order and clarity to matters where redlines and document versions can quickly become confusing, especially when there are five different files named "Final Execution Version." 4. Data control Users can now export their data and permanently delete their data directly from the Settings page. 5. Security Multi-factor authentication (MFA) is now available. Users can enable MFA to protect sensitive actions within Mike, such as data deletion, and can also optionally require MFA during login. There have also been numerous backend security improvements since the previous release. 6. MCP connectors This was one of the most requested features. Users can now add MCP connectors directly from Settings. All tokens and secrets are encrypted at rest. In the demo video, I showcase the Neimo MCP from k-ID, a global age verification and compliance platform. Mike can also be connected to other MCP servers, including email systems. The setup process is currently somewhat manual, but one-click authentication and onboarding will be added in a future release. Mike now has a strong open-source community behind it and is improving every single day. The summary above highlights just some of the work that has been shipped over the past month. I'll also be doing more demos to showcase Mike's capabilities. See you soon.

Will Chen

10,435 次观看 • 3 个月前

Watch Star Wars-styled Airbike take to skies, fly at 124 mph, turn sci-fi into reality | Prabhat Ranjan Mishra, Interesting Engineering The futuristic vehicle is a realization of a bold concept often portrayed in science fiction movies. A Polish firm has turned science fiction into reality as its Star Wars-styled Airbike has taken to the skies. Volonaut’s flying motorbike, a futuristic single-occupant vehicle, is a breakthrough in personal air mobility. Powered by jet propulsion, the “superbike for the skies” can carry one person with up to 124 mph speeds. Volonaut claims that the Airbike’s proprietary stabilization system, enhanced by a flight computer, provides automatic hover and ease of control for its rider. Airbike is 7 times lighter than a typical motorcycle With the use of advanced carbon fiber materials, 3d printing, and a minimalistic approach, the Airbike is 7 times lighter than a typical motorcycle. The Airbike offers a unique riding position with an unobstructed 360-degree view to help the rider quickly become one with the flying machine and provides the sensation of complete freedom. This could be possible with Airbike’s extremely compact size and no spinning propellers it can travel through most confined areas with ease. Futuristic vehicle is a realization of a bold concept “This futuristic vehicle is a realization of a bold concept often portrayed in science fiction movies – an inspiration that with time became the obsession of its creator, entrepreneur, and inventor Tomasz Patan,” said the company in a statement. Unlike the Jetson ONE, the flying superbike has an open-air setup. It has no frame caging the flyer. They also lean to the front unlike the eVTOL’s lounge-like seating position. There aren’t any visible spinning propellers around the Volonaut Airbike. Because of its compact size, the flying superbike can travel through confined and narrow areas. During the launch, Tomasz Patan takes the personal hoverbike in the air, gliding through a valley and around a forest. Airbike moving across forest ridgelines Footage shared by the company on YouTube shows Airbike moving across forest ridgelines and dry lakebeds, lifting and landing without assistance. Wearing a helmet, the rider can take off easily. The Airbike’s design and capabilities appeared to have impressed social media users. However, specific details about the bike’s propulsion system remain limited. Without external rotors, the Airbike allows for maneuverability in confined spaces. The company hasn’t yet revealed the pricing of the superbike yet. Even the complete commercial plan is yet to be disclosed by Volonaut. Reports revealed that the single-seat contraption, with the pilot facing forward like a motorcycle rider, is a lot less cool-looking than other hoverbikes such as the XTurismo or Razor Flying Motorcycle, but it could also be the first one to actually take flight. Read more:
3:04

Watch Star Wars-styled Airbike take to skies, fly at 124 mph, turn sci-fi into reality | Prabhat Ranjan Mishra, Interesting Engineering The futuristic vehicle is a realization of a bold concept often portrayed in science fiction movies. A Polish firm has turned science fiction into reality as its Star Wars-styled Airbike has taken to the skies. Volonaut’s flying motorbike, a futuristic single-occupant vehicle, is a breakthrough in personal air mobility. Powered by jet propulsion, the “superbike for the skies” can carry one person with up to 124 mph speeds. Volonaut claims that the Airbike’s proprietary stabilization system, enhanced by a flight computer, provides automatic hover and ease of control for its rider. Airbike is 7 times lighter than a typical motorcycle With the use of advanced carbon fiber materials, 3d printing, and a minimalistic approach, the Airbike is 7 times lighter than a typical motorcycle. The Airbike offers a unique riding position with an unobstructed 360-degree view to help the rider quickly become one with the flying machine and provides the sensation of complete freedom. This could be possible with Airbike’s extremely compact size and no spinning propellers it can travel through most confined areas with ease. Futuristic vehicle is a realization of a bold concept “This futuristic vehicle is a realization of a bold concept often portrayed in science fiction movies – an inspiration that with time became the obsession of its creator, entrepreneur, and inventor Tomasz Patan,” said the company in a statement. Unlike the Jetson ONE, the flying superbike has an open-air setup. It has no frame caging the flyer. They also lean to the front unlike the eVTOL’s lounge-like seating position. There aren’t any visible spinning propellers around the Volonaut Airbike. Because of its compact size, the flying superbike can travel through confined and narrow areas. During the launch, Tomasz Patan takes the personal hoverbike in the air, gliding through a valley and around a forest. Airbike moving across forest ridgelines Footage shared by the company on YouTube shows Airbike moving across forest ridgelines and dry lakebeds, lifting and landing without assistance. Wearing a helmet, the rider can take off easily. The Airbike’s design and capabilities appeared to have impressed social media users. However, specific details about the bike’s propulsion system remain limited. Without external rotors, the Airbike allows for maneuverability in confined spaces. The company hasn’t yet revealed the pricing of the superbike yet. Even the complete commercial plan is yet to be disclosed by Volonaut. Reports revealed that the single-seat contraption, with the pilot facing forward like a motorcycle rider, is a lot less cool-looking than other hoverbikes such as the XTurismo or Razor Flying Motorcycle, but it could also be the first one to actually take flight. Read more:

Owen Gregorian

85,905 次观看 • 1 年前

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!
3:33

I vibe coded and built a sprite animation pipeline 🛠️ (Day 22 of making the engine+game) ⬇️ Watch the video if you don't wanna read the wall of text - it directly shows what I do. Shoutout to Jidé ✨ for showing me a paper on black/white combination to get alpha, it's the cleanest method yet, and to Cursor for enabling this entire journey. If you prefer the wall of text here you go: The hardest part of using general image models for 2D sprites isn’t getting a nice-looking frame, it’s getting consistent motion across a whole sprite sheet. You can fake a sheet, but frames won’t align, timing drifts, and you end up with weird artifacts. Even if you manually cut frames + interpolate, the animation often looks “off” because each frame is basically a new interpretation, not the same character evolving over time. This is especially noticeable with public API models like gpt-image-1.5 and Nano Banana. Some custom LoRAs for open models exist, but this is intended for less techy folks. My workaround: use a video model first, then post-process into a sprite sheet. Render the animation over a solid background (white/black/magenta/green), then chroma-key it out (my engine tool supports this). If the motion stays inside the silhouette, this works surprisingly well. You can do this in almost any video editing software too! The catch: keying almost always leaves an “aura” (edge spill). My best results come from interpolating the keyed animation with a clean base sprite, so you keep crisp edges and only “borrow” motion/detail where needed. If the animation extends outside the silhouette (tree branches, hair wisps, foliage), I usually skip “true sprite animation” and do it with shaders instead. Keying can’t fully remove halos there, no matter how much feathering/tuning you do. Another annoying issue: pixel corruption. AI rarely generates a perfectly flat background (pure #000000 or #FF00FF). That tiny noise breaks clean extraction and creates crawling garbage pixels around the subject. For clean base sprites (and even PBR maps), a useful trick is generating the same asset on white + black backgrounds and deriving alpha from the difference. This is basically a matte workflow: white = opaque, black = transparent. It fixes aura… but you’d need it per-frame to fix animation, which is still hard. For simple pixel art (single-digit frames), you can sometimes generate a sprite sheet, then ask the model to recreate it on black/white while preserving alignment… but it’s still manual-heavy. Honestly, at this point, for some projects it’s easier to go 3D → 2D and render clean sprites/maps directly. But I still love pushing “pure 2D” and seeing how far we can take it. Thanks for reading! Follow/bookmark/repost if interested in this kind of content!

Startracker 🔺

20,181 次观看 • 8 个月前

tired: Claude Code ports my personal website to a new framework wired: Claude Code generates a command center UI where I can execute the port! with live feedback, including a side-by-side preview of old / new site 😎 this is an example of what I call an "AI HUD" -- a "heads-up display" that gives me visibility into what's going on. i can see: - what terminal commands are running - what files are being created on disk - a live running preview of the old / new website (!) this HUD was actually my third attempt at doing this task, and I liked it the best. here's why I landed there: I wanted to move from middleman to astro for my personal site. These are both static site generators that output html, so I suspected an AI agent could do a good job with a port -- since it could compare old / new build output and try to match. Attempt 1: Agent I just had Claude Code do the port. It went pretty well. But it was hard for me to review what had happened! The git diff was dozens of new files and it was hard to tell how they mapped to the old site. I think the LLM also tried directly writing some files rather than doing deterministic copying, which felt dangerous. Attempt 2: Script I realized a better approach was to have Claude Code write a script that would do the port. The script would execute shell commands like "copy all the markdown files from this directory into this other directory in the new site". This worked much better because I could review the *process* rather than the *results*. Still, even with a nicely commented script, it felt like I was doing a lot of work to review. I wondered: how could I make it ridiculously easy to review this? Attempt 3: HUD Enter the command center! This is an entire web app that I had Claude build just for this one task. I can click buttons to run each step of the port, and watch the new website gradually materialize. It has a node server that runs on my local machine that executes commands on my filesystem and coordinates dev servers for the old/new site. And then a web UI that talks to that server to visualize terminal commands, file trees, and live running previews. It's a HUD because I feel like I can ambiently see everything that the port process is doing 🧐 Was this whole thing worth making for this one-time task? I'm not sure, maybe it was overkill 😅 But it did help me feel more confident that I understood what was going on, and total time was still less than it would have taken me to do the whole port by hand! One way to look at this experience is: "AI can put absurd amounts of effort into a pull request description." What do I mean by that? Well, a PR description is a way to communicate a code change to a human. Typically we do that by writing a bit of text, because that's all we have time for. But given more time and effort, we can do better! An interactive command center / HUD can help a person understand what a code change is actually doing. Historically you'd never imagine investing the effort to do that for a single PR. But now it's within the realm of possibility. So, next time you have an agent do something for you, and you wish you understood better what it was doing, consider: instead of just asking for textual descriptions, maybe ask the agent to make you a HUD!
0:23

tired: Claude Code ports my personal website to a new framework wired: Claude Code generates a command center UI where I can execute the port! with live feedback, including a side-by-side preview of old / new site 😎 this is an example of what I call an "AI HUD" -- a "heads-up display" that gives me visibility into what's going on. i can see: - what terminal commands are running - what files are being created on disk - a live running preview of the old / new website (!) this HUD was actually my third attempt at doing this task, and I liked it the best. here's why I landed there: I wanted to move from middleman to astro for my personal site. These are both static site generators that output html, so I suspected an AI agent could do a good job with a port -- since it could compare old / new build output and try to match. Attempt 1: Agent I just had Claude Code do the port. It went pretty well. But it was hard for me to review what had happened! The git diff was dozens of new files and it was hard to tell how they mapped to the old site. I think the LLM also tried directly writing some files rather than doing deterministic copying, which felt dangerous. Attempt 2: Script I realized a better approach was to have Claude Code write a script that would do the port. The script would execute shell commands like "copy all the markdown files from this directory into this other directory in the new site". This worked much better because I could review the *process* rather than the *results*. Still, even with a nicely commented script, it felt like I was doing a lot of work to review. I wondered: how could I make it ridiculously easy to review this? Attempt 3: HUD Enter the command center! This is an entire web app that I had Claude build just for this one task. I can click buttons to run each step of the port, and watch the new website gradually materialize. It has a node server that runs on my local machine that executes commands on my filesystem and coordinates dev servers for the old/new site. And then a web UI that talks to that server to visualize terminal commands, file trees, and live running previews. It's a HUD because I feel like I can ambiently see everything that the port process is doing 🧐 Was this whole thing worth making for this one-time task? I'm not sure, maybe it was overkill 😅 But it did help me feel more confident that I understood what was going on, and total time was still less than it would have taken me to do the whole port by hand! One way to look at this experience is: "AI can put absurd amounts of effort into a pull request description." What do I mean by that? Well, a PR description is a way to communicate a code change to a human. Typically we do that by writing a bit of text, because that's all we have time for. But given more time and effort, we can do better! An interactive command center / HUD can help a person understand what a code change is actually doing. Historically you'd never imagine investing the effort to do that for a single PR. But now it's within the realm of possibility. So, next time you have an agent do something for you, and you wish you understood better what it was doing, consider: instead of just asking for textual descriptions, maybe ask the agent to make you a HUD!

Geoffrey Litt

63,532 次观看 • 1 年前

SaaS isn’t dead, it just needs to become agent-native. Linear (Linear) is a great example of how: They pivoted the product to be used by both humans and agents, and that has made them one of the premier software tools in the agent-native era. I had Linear’s cofounder and CEO Karri Saarinen on Every 📧's AI & I to talk about how a product management tool for human software developers became an agent-native tool—and how Linear’s trajectory reveals a bright future for SaaS businesses: - Speed means decisions matter more, not less. AI makes it easy to have an idea and build it without considering whether its existence is justified. When ChatGPT was released, SaaS companies were launching their own chatbots left, right, and center. Instead of jumping on the bandwagon, Linear stopped to consider whether the application was useful. (It wasn’t.) - Just because the technology has changed doesn’t mean your mission should. Karri attributes Linear’s success to never losing sight of what matters: helping teams develop great software. Instead of chasing trends, Linear focused on understanding how AI was impacting its customers’ workflows—and updating its product accordingly. - Agents are now first-class users. Linear never tried to change what it was or did well; it just expanded the user base. Companies can now kick off agents inside Linear, manage them, and track what they're working on alongside the humans on the team, which explains why Codex, Coinbase, and Brex all run their agents on Linear. This is a must watch for anyone interested in how an agent-native SaaS company operates. Watch below! Timestamps: Introduction and how Every first discovered Linear: 00:00:39 Why Linear waited to ship AI features instead of rushing to chatbots: 00:02:00 Linear's agent platform and becoming the system that guides AI agents: 00:05:06 Why "SaaS is dead" is a simplistic narrative: 00:07:42 How Linear adopted AI coding tools internally: 00:12:18 AI's impact on product building workflows—speed versus thoughtfulness: 00:17:45 The value of conceptual work and thinking before shipping: 00:22:18 How AI is reshaping Linear's product strategy: 00:29:30 Demo: Linear's agent skills, shared context, and code review workflow: 00:37:18 The future of product development and the enduring role of human judgment: 00:47:48
52:48

SaaS isn’t dead, it just needs to become agent-native. Linear (Linear) is a great example of how: They pivoted the product to be used by both humans and agents, and that has made them one of the premier software tools in the agent-native era. I had Linear’s cofounder and CEO Karri Saarinen on Every 📧's AI & I to talk about how a product management tool for human software developers became an agent-native tool—and how Linear’s trajectory reveals a bright future for SaaS businesses: - Speed means decisions matter more, not less. AI makes it easy to have an idea and build it without considering whether its existence is justified. When ChatGPT was released, SaaS companies were launching their own chatbots left, right, and center. Instead of jumping on the bandwagon, Linear stopped to consider whether the application was useful. (It wasn’t.) - Just because the technology has changed doesn’t mean your mission should. Karri attributes Linear’s success to never losing sight of what matters: helping teams develop great software. Instead of chasing trends, Linear focused on understanding how AI was impacting its customers’ workflows—and updating its product accordingly. - Agents are now first-class users. Linear never tried to change what it was or did well; it just expanded the user base. Companies can now kick off agents inside Linear, manage them, and track what they're working on alongside the humans on the team, which explains why Codex, Coinbase, and Brex all run their agents on Linear. This is a must watch for anyone interested in how an agent-native SaaS company operates. Watch below! Timestamps: Introduction and how Every first discovered Linear: 00:00:39 Why Linear waited to ship AI features instead of rushing to chatbots: 00:02:00 Linear's agent platform and becoming the system that guides AI agents: 00:05:06 Why "SaaS is dead" is a simplistic narrative: 00:07:42 How Linear adopted AI coding tools internally: 00:12:18 AI's impact on product building workflows—speed versus thoughtfulness: 00:17:45 The value of conceptual work and thinking before shipping: 00:22:18 How AI is reshaping Linear's product strategy: 00:29:30 Demo: Linear's agent skills, shared context, and code review workflow: 00:37:18 The future of product development and the enduring role of human judgment: 00:47:48

Dan Shipper 📧

36,359 次观看 • 6 个月前

Here is a live demo of our AI solution I've been building non-stop over the past 8 months Binary Defense. How it works: Our own model trained on our analysts behavior. Our analysts submit tickets as false positives/true positives with context which enriches our LLM to be smarter over time. Key Highlights: If its a binary - will automatically spin up an agent for reverse engineering it and using EMBER ML to understand behavior and intent of the binary. File formats: Supports a vast array of pretty much any filetype, including email attachments like SVG, LNK, etc. Can handle DLLs, ELF, EXEs, PDF, XLS, DOC, etc. Interrogates the full chain of all events irrespective of log sources. Can handle any format of logs and integrates into APIs of customers for additional agentic data looping for confidence ranking when needed. This is an example of the back-end UI, this is transparent to analysts and enriches the alarms automatically in our SOAR. In these examples there's three different types: 1. Regsvr32 + sct downloader + scrobj.dll code execution - checks reputation of domain, pulls in threat intel, looks at entire picture of the chain - downloads the file itself and inspects for code analysis. Determines if malicious as well as historically looking back if seen in customer before in past. 2. Powershell Obfuscation - uses a universal decoder to un-obfuscate powershell and look at the raw code. Can handle pretty much any obfuscation thrown at it (thanks Justin Elze). 3. Email with malicious SVG - checks tonality of email, are they creating urgency to take action (increases confidence) - disassembles SVG to understand malicious content - checks URL to determine if harvesting credentials, payload delivery, etc. Creates an entire kill chain analysis with full response and dissecting of the attack to the analyst in seconds. Has greatly sped up our ability to respond to incidents and allowing analysts to focus on the most important alarms through prioritization. Once cool thing I've worked heavily on is a synthetic data normalizer which when an analyst says "Yes this is bad with context" or "No this is a false positive" - our local model generates training data to be smarter in the future without using the actual customer data to train it. The customers actual data is immediately destroyed once training data off of the original alarm is generated and contains no customer-centric data at all. We also have three model tiers. Opt-In (collective model, again no customer data but every organization contributes to training). Opt-Out - does not train on any customer data for customers who opt-out. Private LLM - LLM created specifically for individual customer and trains only off of their data. Uses shared model collective for better confidence rankings. It will generate automated playbooks to run based on confidence rankings to take action on behalf of the customer. Still human driven on execution - has to approve playbook actions. This thing is cooking and so cool to see this work live and shut down attackers much faster! If confidence ranking is low - will automatically attempt to enrich data through customer environments for better confidence rankings. Additionally if the model isn't trained well on a certain technology, I have created something we call "Nexus" that will research new protocols, devices, SDKs, etc and generate training data automatically. Works well for zero-days for example, point to a tweet, or a research paper, and automatically generates training data to recognize this attack much faster. Have over 8000+ yara rule integrations that help with confidence boosting as well that is automatically incorporated into the analysis. Creating some amazing stuff at Binary Defense that isn't marketing fluff - actionable things that are making a huge difference in this industry. #BinaryDefense
0:32

Here is a live demo of our AI solution I've been building non-stop over the past 8 months Binary Defense. How it works: Our own model trained on our analysts behavior. Our analysts submit tickets as false positives/true positives with context which enriches our LLM to be smarter over time. Key Highlights: If its a binary - will automatically spin up an agent for reverse engineering it and using EMBER ML to understand behavior and intent of the binary. File formats: Supports a vast array of pretty much any filetype, including email attachments like SVG, LNK, etc. Can handle DLLs, ELF, EXEs, PDF, XLS, DOC, etc. Interrogates the full chain of all events irrespective of log sources. Can handle any format of logs and integrates into APIs of customers for additional agentic data looping for confidence ranking when needed. This is an example of the back-end UI, this is transparent to analysts and enriches the alarms automatically in our SOAR. In these examples there's three different types: 1. Regsvr32 + sct downloader + scrobj.dll code execution - checks reputation of domain, pulls in threat intel, looks at entire picture of the chain - downloads the file itself and inspects for code analysis. Determines if malicious as well as historically looking back if seen in customer before in past. 2. Powershell Obfuscation - uses a universal decoder to un-obfuscate powershell and look at the raw code. Can handle pretty much any obfuscation thrown at it (thanks Justin Elze). 3. Email with malicious SVG - checks tonality of email, are they creating urgency to take action (increases confidence) - disassembles SVG to understand malicious content - checks URL to determine if harvesting credentials, payload delivery, etc. Creates an entire kill chain analysis with full response and dissecting of the attack to the analyst in seconds. Has greatly sped up our ability to respond to incidents and allowing analysts to focus on the most important alarms through prioritization. Once cool thing I've worked heavily on is a synthetic data normalizer which when an analyst says "Yes this is bad with context" or "No this is a false positive" - our local model generates training data to be smarter in the future without using the actual customer data to train it. The customers actual data is immediately destroyed once training data off of the original alarm is generated and contains no customer-centric data at all. We also have three model tiers. Opt-In (collective model, again no customer data but every organization contributes to training). Opt-Out - does not train on any customer data for customers who opt-out. Private LLM - LLM created specifically for individual customer and trains only off of their data. Uses shared model collective for better confidence rankings. It will generate automated playbooks to run based on confidence rankings to take action on behalf of the customer. Still human driven on execution - has to approve playbook actions. This thing is cooking and so cool to see this work live and shut down attackers much faster! If confidence ranking is low - will automatically attempt to enrich data through customer environments for better confidence rankings. Additionally if the model isn't trained well on a certain technology, I have created something we call "Nexus" that will research new protocols, devices, SDKs, etc and generate training data automatically. Works well for zero-days for example, point to a tweet, or a research paper, and automatically generates training data to recognize this attack much faster. Have over 8000+ yara rule integrations that help with confidence boosting as well that is automatically incorporated into the analysis. Creating some amazing stuff at Binary Defense that isn't marketing fluff - actionable things that are making a huge difference in this industry. #BinaryDefense

Dave Kennedy

29,036 次观看 • 7 个月前