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New from PocketJS: quickjs-oxide. A JavaScript interpreter modeled after QuickJS, implemented from scratch by AI in Rust with zero unsafe code, and the first of its kind to achieve performance competitive with the original QuickJS. We spent one month achieving a high Test262 pass rate, then another month cleaning... up the code, getting rid of the AI slop, and reaching competitive performance with just a stack VM and reference counting. Over the last weekend at RustChinaConf, we rewrote the core into a register VM and achieved this level of performance in just two days. Now quickjs-oxide outperforms most non-JIT JavaScript engines on benchmarks like V8 v7 and the Octane suite, using only around 30% more memory than QuickJS, while maintaining zero lines of unsafe implementation code and no external dependencies except for BigInt support. Huge credit to Ericoolen for making this happen, and massive thanks to our sponsor Zephyr Cloud for supporting the journey!show more

PocketJS

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Introducing Poetic: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents. We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination. While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy. So we built a new kind of software that pairs the flexibility of AI with the predictability of code. When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective. In one year, we went from zero to an eight-figure run rate as a team of four. Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.

Introducing Poetic: a new AI system that executes complex multi-hour tasks with 99%+ accuracy and 10x fewer tokens than agents. We raised $50M at $500M from Kleiner Perkins, Founders Fund, First Harmonic, and Genius Ventures to build AI that does complex work inside Fortune 500 companies without hallucination. While code is too brittle, agents are too unpredictable. The work that runs the global economy - anti-money laundering, fraud investigations, underwriting - needs extreme accuracy. So we built a new kind of software that pairs the flexibility of AI with the predictability of code. When the world stays the same, Poetic runs fixed code: fast, cheap, identical every time. When the world changes, Poetic uses AI to regenerate its approach and find its way back to the objective. In one year, we went from zero to an eight-figure run rate as a team of four. Since then, we’ve scaled the team and executed the highest-stakes processes at AIG, SoFi, and Chime. At SoFi, a large US bank, Poetic reached 99%+ quality on fraud investigations in five weeks.

Markie Wagner

1,387,536 views • 4 months ago

My brother and I never imagined would grow this quickly - huge thanks and shoutout to the Tekken community! But, the upsurge of traffic hit us with massive hosting/storage costs we didn't expect. It's just the two of us running and funding this, so if you'd like to support the site (no obligation of course), we've set up a page here: Thank you everyone for visiting our website and using it to lab. It is amazing to have made a meaningful contribution to the community and game we grew up with.

My brother and I never imagined would grow this quickly - huge thanks and shoutout to the Tekken community! But, the upsurge of traffic hit us with massive hosting/storage costs we didn't expect. It's just the two of us running and funding this, so if you'd like to support the site (no obligation of course), we've set up a page here: Thank you everyone for visiting our website and using it to lab. It is amazing to have made a meaningful contribution to the community and game we grew up with.

Okizeme.gg

76,596 views • 1 year ago

First fully ML-framework-free 3D Gaussian Splatting implementation in LichtFeld Studio. I’ve completed the migration of the full training pipeline to a custom CUDA-based tensor library. No PyTorch, no LibTorch, no autograd. Every gradient is implemented by hand, either through CUDA kernels or minimal abstractions on top. This makes it the first full training setup for 3D Gaussian Splatting with zero dependencies on existing ML frameworks. It’s not just about independence, it's about control! We now manage every byte of GPU memory, which opens the door to tighter optimization and finer performance tuning. The framework footprint is minimal, without pulling in gigabytes of ML runtime code that was never designed for real-time or graphics-driven applications. A few modules, such as the metrics and 3DGUT interfaces, are still being ported, and some operations are temporarily naïve, so performance is not yet on par with master. But this refactor lays the groundwork for: - A fully self-contained binary - Fine-grained memory optimization - Easier experimentation without the weight of an ML stack We’re getting close.

First fully ML-framework-free 3D Gaussian Splatting implementation in LichtFeld Studio. I’ve completed the migration of the full training pipeline to a custom CUDA-based tensor library. No PyTorch, no LibTorch, no autograd. Every gradient is implemented by hand, either through CUDA kernels or minimal abstractions on top. This makes it the first full training setup for 3D Gaussian Splatting with zero dependencies on existing ML frameworks. It’s not just about independence, it's about control! We now manage every byte of GPU memory, which opens the door to tighter optimization and finer performance tuning. The framework footprint is minimal, without pulling in gigabytes of ML runtime code that was never designed for real-time or graphics-driven applications. A few modules, such as the metrics and 3DGUT interfaces, are still being ported, and some operations are temporarily naïve, so performance is not yet on par with master. But this refactor lays the groundwork for: - A fully self-contained binary - Fine-grained memory optimization - Easier experimentation without the weight of an ML stack We’re getting close.

MrNeRF

50,571 views • 11 months ago

$this might be the E2B killer for AI agent sandboxes. forkd is an open-source microVM sandbox runtime built on Firecracker, made for AI agent fan-out, code interpreters, eval harnesses, anything that spins up a lot of short-lived sandboxes. before: every sandbox cold-boots its own VM and re-imports the whole runtime from scratch, numpy, torch, JIT compilation, model weights, all of it. now: forkd boots one parent VM once, warms it with your runtime already imported, then forks children from that snapshot using copy-on-write memory. the repo's own benchmark: spawning 100 sandboxes takes 101ms with forkd, versus 759ms for a raw Firecracker cold-boot, and well over a minute for Docker or gVisor. the SDK is a literal drop-in for E2B's Python client, so if you're already running code-interpreter agents on it, swapping the import line gets you a self-hosted runtime with the same isolation model at a fraction of the per-sandbox cost. pre-built recipes ship for e2b-style code interpreters, Jupyter kernels, SWE-bench coding agents, and Playwright browser fan-out$

this might be the E2B killer for AI agent sandboxes. forkd is an open-source microVM sandbox runtime built on Firecracker, made for AI agent fan-out, code interpreters, eval harnesses, anything that spins up a lot of short-lived sandboxes. before: every sandbox cold-boots its own VM and re-imports the whole runtime from scratch, numpy, torch, JIT compilation, model weights, all of it. now: forkd boots one parent VM once, warms it with your runtime already imported, then forks children from that snapshot using copy-on-write memory. the repo's own benchmark: spawning 100 sandboxes takes 101ms with forkd, versus 759ms for a raw Firecracker cold-boot, and well over a minute for Docker or gVisor. the SDK is a literal drop-in for E2B's Python client, so if you're already running code-interpreter agents on it, swapping the import line gets you a self-hosted runtime with the same isolation model at a fraction of the per-sandbox cost. pre-built recipes ship for e2b-style code interpreters, Jupyter kernels, SWE-bench coding agents, and Playwright browser fan-out

Oliver Prompts

20,005 views • 2 months ago

🚀 Shido isn’t just another chain, it’s rewriting how DeFi works! Built as a superfast Multi-VM network, Shido connects users to billions in assets while keeping fees near zero. Now, with chain abstraction, you can sign across multiple blockchains from one account, a unified layer of liquidity and freedom that most projects can only dream of. 37% of the supply is already staked, that’s real conviction from the community. And with the upcoming Tera upgrade, performance and scalability are about to reach a new level. KuzoIV and the team are doing work never seen before in crypto. Stay ahead, follow Lidorin and join the next evolution of DeFi 👇 🌐

🚀 Shido isn’t just another chain, it’s rewriting how DeFi works! Built as a superfast Multi-VM network, Shido connects users to billions in assets while keeping fees near zero. Now, with chain abstraction, you can sign across multiple blockchains from one account, a unified layer of liquidity and freedom that most projects can only dream of. 37% of the supply is already staked, that’s real conviction from the community. And with the upcoming Tera upgrade, performance and scalability are about to reach a new level. KuzoIV and the team are doing work never seen before in crypto. Stay ahead, follow Lidorin and join the next evolution of DeFi 👇 🌐

︎ Teo Mercer

156,890 views • 1 year ago

Two AI girls and $24,542 in one month A 22-year-old man from China created two virtual girls and turned them into a business. According to the original post, his starting investment was just $20 for Claude. For the first AI girl, he set up a Fanvue account with a $9.99 subscription. With Claude’s help, he analyzed male audience preferences and developed the character. Photos and videos were generated automatically and published on a schedule. In one month: 1,265 subscribers and $12,637 in revenue. The second AI girl appeared on livestreams across three platforms: TikTok, YouTube, and Kick. The original post describes Claude changing her appearance and voice in real time during the broadcasts. Viewers regularly sent donations, with the largest reaching $500. The streams brought in another $11,905 that month. Total revenue: $24,542 from two virtual characters. AI + creativity = new possibilities

Two AI girls and $24,542 in one month A 22-year-old man from China created two virtual girls and turned them into a business. According to the original post, his starting investment was just $20 for Claude. For the first AI girl, he set up a Fanvue account with a $9.99 subscription. With Claude’s help, he analyzed male audience preferences and developed the character. Photos and videos were generated automatically and published on a schedule. In one month: 1,265 subscribers and $12,637 in revenue. The second AI girl appeared on livestreams across three platforms: TikTok, YouTube, and Kick. The original post describes Claude changing her appearance and voice in real time during the broadcasts. Viewers regularly sent donations, with the largest reaching $500. The streams brought in another $11,905 that month. Total revenue: $24,542 from two virtual characters. AI + creativity = new possibilities

Ridark

75,465 views • 2 days ago

JENSEN HUANG UNVEILED A BOARD THAT RUNS 1 TRILLION PARAMETER AI MODELS. THE $249 NVIDIA BOX UNDER YOUR DESK KILLS A $200/MONTH AI BILL FOR $5 IN ELECTRICITY jensen held it up on stage with one hand and called it the architecture that runs the future of ai. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

JENSEN HUANG UNVEILED A BOARD THAT RUNS 1 TRILLION PARAMETER AI MODELS. THE $249 NVIDIA BOX UNDER YOUR DESK KILLS A $200/MONTH AI BILL FOR $5 IN ELECTRICITY jensen held it up on stage with one hand and called it the architecture that runs the future of ai. that same technology now ships in a $249 box smaller than your wallet the jetson orin nano super pulls 7-25 watts and does 67 trillion ai operations per second. llama 3, mistral and deepseek run locally with no api fees and no data leaving your machine most developers pay $2,400 a year across chatgpt, openai api, claude pro and cursor. the jetson costs $314 in year one and $60 a year after. 2 year savings hit $4,431 install ollama with one command, change one line of code to point at localhost, and every tool built for openai works identically. zero rewrites, zero rate limits cloud subscriptions keep getting more expensive and rate limits keep getting tighter. the people who own the box in 2026 are going to look very far ahead in 2028 bookmark this and read the article below

starmex

54,492 views • 4 months ago

1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.

1/ Gemini 2.5 is here, and it’s our most intelligent AI model ever. Our first 2.5 model, Gemini 2.5 Pro Experimental is a state-of-the-art thinking model, leading in a wide range of benchmarks – with impressive improvements in enhanced reasoning and coding and now #1 on Arena by a significant margin. With a model this intelligent, we wanted to get it to people as quickly as possible. Find it on Google AI Studio and in the Google Gemini for Gemini Advanced users now – and in Vertex in the coming weeks. This is the start of a new era of thinking models – and we can’t wait to see where things go from here.

Sundar Pichai

864,945 views • 1 year ago

Exciting Milestone: Our First CEX Listing with MEXC! We’re thrilled to announce that VentureMind AI ($VNTR) is officially listed on @MEXC_Listings ! Choosing our first centralized exchange partner was a big decision, and we’re excited to team up with MEXC to bring $VNTR to a wider audience. This is a historic moment for us as the first AI incubator project launched on the Seedify.fund - Official platform to achieve a CEX listing. We couldn’t have reached this point without Seedify’s guidance, helping us navigate the journey with confidence and clarity. This partnership is just the beginning! It gives easier access to $VNTR and introduces the first onramp to purchase our token using fiat stablecoins, making it more accessible to a global audience. And we’re just getting started! Additional exchange listings are already in the works, and we can’t wait to share more milestones as we expand the reach and utility of $VNTR. To our incredible community, thank you for your unwavering support. This is only the start of an exciting journey, and we’re so grateful to have you with us every step of the way!

Exciting Milestone: Our First CEX Listing with MEXC! We’re thrilled to announce that VentureMind AI ($VNTR) is officially listed on @MEXC_Listings ! Choosing our first centralized exchange partner was a big decision, and we’re excited to team up with MEXC to bring $VNTR to a wider audience. This is a historic moment for us as the first AI incubator project launched on the Seedify.fund - Official platform to achieve a CEX listing. We couldn’t have reached this point without Seedify’s guidance, helping us navigate the journey with confidence and clarity. This partnership is just the beginning! It gives easier access to $VNTR and introduces the first onramp to purchase our token using fiat stablecoins, making it more accessible to a global audience. And we’re just getting started! Additional exchange listings are already in the works, and we can’t wait to share more milestones as we expand the reach and utility of $VNTR. To our incredible community, thank you for your unwavering support. This is only the start of an exciting journey, and we’re so grateful to have you with us every step of the way!

VentureMind AI

22,423 views • 1 year ago

MONTHLY RECAP 🎬 This month has been huge for us at Here's all the achievements and milestones! ↓ 1️⃣ 2,000 $NCDT holders! Earlier this month, we hit 2,000 holders for our $NCDT token!. 2️⃣ Brand Launch Date Set for April 6th! we've been hard at work giving a fresh face and with some teases through the month, we are finally ready to drop our new branding on April 6th! Our new branding will embody our journey in becoming a global leader in cloud computing. This comprehensive rebrand, including a refreshed logo and website, aligns perfectly with our mission and strategic goals. 3️⃣ PRO - Final Penetration Testing PRO is undergoing its final penetration test, ensuring that we are meeting the highest standards of security and reliability in the cloud computing industry. With PRO businesses from large enterprises to AI startups can experience reliable, and efficient computing without breaking the bank. March has been an exciting month for and April will be even better 🚀

nuco.cloud

16,284 views • 2 years ago

Today Terraport passes a huge milestone in its journey with the release of the full code audit by CertiK. 🔗 With 247 files audited, the publication of the audit represents a major achievement for us and marks the beginning of a growth phase for the platform in terms of functionality, security, and decentralization. Terraport's aim is to bring utility back to the TerraClassic network, and thanks to all its supporters and active community governance, it is now in a position to do so. With many new features being developed such as xchain stable swaps, token factory and launchpad and more, investors and builders have access to native functionality to open up the $LUNC / $USTC ecosystem. A big thank you to everyone who inspires us to continuously improve and expand Terraport's capabilities and continues to support us as we work with CertiK to increase its security.

Today Terraport passes a huge milestone in its journey with the release of the full code audit by CertiK. 🔗 With 247 files audited, the publication of the audit represents a major achievement for us and marks the beginning of a growth phase for the platform in terms of functionality, security, and decentralization. Terraport's aim is to bring utility back to the TerraClassic network, and thanks to all its supporters and active community governance, it is now in a position to do so. With many new features being developed such as xchain stable swaps, token factory and launchpad and more, investors and builders have access to native functionality to open up the $LUNC / $USTC ecosystem. A big thank you to everyone who inspires us to continuously improve and expand Terraport's capabilities and continues to support us as we work with CertiK to increase its security.

Terraport Finance

30,505 views • 2 years ago

Landing accurately under parachute has historically been more art than science. We're changing that with physical AI. The flexibility of the fabric has traditionally made modeling performance and controllability extremely difficult. By using the latest computer vision and AI models, we have been able to accurately track the movements and shape of the canopy across more than a hundred flights, variable control inputs, and changing flight conditions. The tracking remains effective through visual disruptions, canopy deflections, and changes in vehicle orientation. We feed this data back into our 8-DOF models to better tune Arc's GNC algorithms for the highest accuracy landing in a wide range of flight conditions. This, along with other updates, has reduced landing error by 90%. We're aiming for the controllability of a metal wing with a piece of fabric.

Landing accurately under parachute has historically been more art than science. We're changing that with physical AI. The flexibility of the fabric has traditionally made modeling performance and controllability extremely difficult. By using the latest computer vision and AI models, we have been able to accurately track the movements and shape of the canopy across more than a hundred flights, variable control inputs, and changing flight conditions. The tracking remains effective through visual disruptions, canopy deflections, and changes in vehicle orientation. We feed this data back into our 8-DOF models to better tune Arc's GNC algorithms for the highest accuracy landing in a wide range of flight conditions. This, along with other updates, has reduced landing error by 90%. We're aiming for the controllability of a metal wing with a piece of fabric.

Inversion

32,627 views • 3 months ago

🎙️ "We intend for Bun to be a drop-in replacement for the existing Node.js ecosystem. Most of our engineering time is not actually spent on new features — it's spent on Node.js compatibility". Join our conversation with Jarred Sumner — creator of Bun, a fast all-in-one toolkit for JavaScript & TypeScript runtime and tooling. The host is Patrick Akil, Beyond Coding podcast host. In this chat with Jarred, we explore: ▪️ Why Bun was created and what makes it exciting ▪️ Compatibility with Node.js ▪️ Upcoming features and Bun’s future ▪️ How AI is shaping developer workflows — and more! 📺 Watch now:

🎙️ "We intend for Bun to be a drop-in replacement for the existing Node.js ecosystem. Most of our engineering time is not actually spent on new features — it's spent on Node.js compatibility". Join our conversation with Jarred Sumner — creator of Bun, a fast all-in-one toolkit for JavaScript & TypeScript runtime and tooling. The host is Patrick Akil, Beyond Coding podcast host. In this chat with Jarred, we explore: ▪️ Why Bun was created and what makes it exciting ▪️ Compatibility with Node.js ▪️ Upcoming features and Bun’s future ▪️ How AI is shaping developer workflows — and more! 📺 Watch now:

GitNation Foundation

10,899 views • 1 year ago

During a meeting with the leaders of two Bundestag coalition factions, Jens Spahn and Matthias Miersch, we discussed financial and defense support for Ukraine, as well as the next steps in diplomacy. We are grateful to Germany for its leadership in supporting our people, especially for the Patriot systems and missiles, and IRIS-T systems – all of which are saving the lives of our people. We also spoke about further bolstering the protection of our skies. Separately, we discussed the importance of achieving a ceasefire and developing security guarantees. In recent weeks, Russia has shown no intention of being ready for a meeting at the level of leaders and has continued striking our people. That is why we count on Germany’s support in increasing pressure on Russia. Only strong actions can change Russian behavior.

During a meeting with the leaders of two Bundestag coalition factions, Jens Spahn and Matthias Miersch, we discussed financial and defense support for Ukraine, as well as the next steps in diplomacy. We are grateful to Germany for its leadership in supporting our people, especially for the Patriot systems and missiles, and IRIS-T systems – all of which are saving the lives of our people. We also spoke about further bolstering the protection of our skies. Separately, we discussed the importance of achieving a ceasefire and developing security guarantees. In recent weeks, Russia has shown no intention of being ready for a meeting at the level of leaders and has continued striking our people. That is why we count on Germany’s support in increasing pressure on Russia. Only strong actions can change Russian behavior.

Volodymyr Zelenskyy / Володимир Зеленський

198,547 views • 1 year ago

THIS SHELF OF MAC MINIS REPLACES $4,080 A YEAR IN AI SUBSCRIPTIONS 00:02 the camera pans across a shelf of stacked Mac minis and the trick is obvious: that silent little farm runs the models you rent every month most people pay 7 companies for AI and use 3 of the tools. they forget the rest on the credit card and call it a stack the Mac mini M4 ends that. one shared memory pool means a $599 box runs 7B and 8B models faster than Windows machines that cost twice as much ollama pull, one command. open webui in one docker line. point Claude Code at localhost and it just works it draws 10 to 30 watts, sits silent next to a router, and runs 24/7 for $3 a month in power it pays back a $20 ChatGPT Plus sub in 3 months, then saves you $4,000 a year while the frontier still rents you compute every month you wait is another $340 gone for compute that fits on a shelf

THIS SHELF OF MAC MINIS REPLACES $4,080 A YEAR IN AI SUBSCRIPTIONS 00:02 the camera pans across a shelf of stacked Mac minis and the trick is obvious: that silent little farm runs the models you rent every month most people pay 7 companies for AI and use 3 of the tools. they forget the rest on the credit card and call it a stack the Mac mini M4 ends that. one shared memory pool means a $599 box runs 7B and 8B models faster than Windows machines that cost twice as much ollama pull, one command. open webui in one docker line. point Claude Code at localhost and it just works it draws 10 to 30 watts, sits silent next to a router, and runs 24/7 for $3 a month in power it pays back a $20 ChatGPT Plus sub in 3 months, then saves you $4,000 a year while the frontier still rents you compute every month you wait is another $340 gone for compute that fits on a shelf

Fokki

12,933 views • 3 months ago

When performance SUVs started to become a trend, BMW built this V8 monster in response to ML55. When BMW launched the X5 in 1999, it invented the idea of the “Sport Activity Vehicle.” But in 2004, they went one step further with the 4.8is. Under the bonnet sat a naturally aspirated N62 V8 making 360 HP which is in the facelifted model in place of the older M62, paired with sport suspension, unique styling, and massive 20-inch wheels. It was one of the first SUVs that could actually handle twisty roads better than the average bloated and slower lumps. The 4.8is came 6 years after AMG and M performance SUVs became mainstream as of E70 X5M. It paved the way for the X5 M and every other high-performance SUV that followed.

When performance SUVs started to become a trend, BMW built this V8 monster in response to ML55. When BMW launched the X5 in 1999, it invented the idea of the “Sport Activity Vehicle.” But in 2004, they went one step further with the 4.8is. Under the bonnet sat a naturally aspirated N62 V8 making 360 HP which is in the facelifted model in place of the older M62, paired with sport suspension, unique styling, and massive 20-inch wheels. It was one of the first SUVs that could actually handle twisty roads better than the average bloated and slower lumps. The 4.8is came 6 years after AMG and M performance SUVs became mainstream as of E70 X5M. It paved the way for the X5 M and every other high-performance SUV that followed.

Autowelt

26,914 views • 1 year ago

A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000 He created it using Claude, spending just $20 and a month on development He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000 The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own The article includes the ready-to-use configurations.

A 19-year-old student from China, Zhang Wei, developed an AI radar and sold it to Hong Kong for $550,000 He created it using Claude, spending just $20 and a month on development He walked into the Hong Kong administration office with a flash drive and asked for just 5 minutes of their time. 30 minutes later, he walked out with a check for $550,000 The code, connected to a camera, detects speed in real time. If the speed exceeds the limit, Claude takes a video clip and identifies the owner by the car's license plate. The video and the fine are then automatically sent to the owner's email address Unlike a conventional radar that only takes a photo and doesn't always work, this AI radar eliminates disputes because it captures video and makes the process fully autonomous by sending out the fines on its own The article includes the ready-to-use configurations.

Bober_smart

4,330,524 views • 4 months ago

We're getting to the point where AI isn't just helping us write code; it can help launch the business behind that code too. One of the more interesting examples I've come across is **Lovie** Instead of jumping between legal websites, paperwork, and incorporation services Lovie lets founders form a US LLC or Corporation directly from AI coding tools like **Claude Code, Cursor, and Windsurf** through its MCP-first workflow. If you're already building your product inside your AI coding assistant, the setup process can become part of that same workflow instead of another tab to manage. For founders, indie hackers, and developers shipping fast, that's a pretty compelling idea. Flat **$29/month**, company formation in minutes, and it fits naturally into the AI tools many developers are already using. Feels like another step toward AI becoming a true operating system for builders, not just a coding assistant.

We're getting to the point where AI isn't just helping us write code; it can help launch the business behind that code too. One of the more interesting examples I've come across is Lovie Instead of jumping between legal websites, paperwork, and incorporation services Lovie lets founders form a US LLC or Corporation directly from AI coding tools like Claude Code, Cursor, and Windsurf through its MCP-first workflow. If you're already building your product inside your AI coding assistant, the setup process can become part of that same workflow instead of another tab to manage. For founders, indie hackers, and developers shipping fast, that's a pretty compelling idea. Flat $29/month, company formation in minutes, and it fits naturally into the AI tools many developers are already using. Feels like another step toward AI becoming a true operating system for builders, not just a coding assistant.

Parul Gautam

41,751 views • 3 months ago

Congratulations to Telangana and the entire EAGLE Force, ably led by Sandeep Shandilya, for being awarded the Best ANTF(Anti-Narcotics Task Force) in the country by the Hon’ble Union Home Minister Shri Amit Shah at the 3rd National Conference of ANTF Heads in New Delhi. 💐💐 The two-day conference is deliberating on the effective implementation of the Vision Document on Narcotics Control (2026–29), achieving the targets envisaged in it and strengthening our collective resolve towards a Drug-Free #India. Tackling Synthetic drugs and clan labs, Dismantling drug cartels, and strengthening darknet and crypto investigations are among the key areas on the agenda. With this, #Telangana Police has reached first place in our two top priority areas - cyber crime performance and the anti-narcotics performance. We are now trying to improve our ranking in other areas where we have fallen behind like implementation of national criminal laws / ICJS, CCTNS through a special drive and focus. We ll be there soon ! A proud achievement for the entire force. Keep it up, Team TG Police. 👍🏽👏

Congratulations to Telangana and the entire EAGLE Force, ably led by Sandeep Shandilya, for being awarded the Best ANTF(Anti-Narcotics Task Force) in the country by the Hon’ble Union Home Minister Shri Amit Shah at the 3rd National Conference of ANTF Heads in New Delhi. 💐💐 The two-day conference is deliberating on the effective implementation of the Vision Document on Narcotics Control (2026–29), achieving the targets envisaged in it and strengthening our collective resolve towards a Drug-Free #India. Tackling Synthetic drugs and clan labs, Dismantling drug cartels, and strengthening darknet and crypto investigations are among the key areas on the agenda. With this, #Telangana Police has reached first place in our two top priority areas - cyber crime performance and the anti-narcotics performance. We are now trying to improve our ranking in other areas where we have fallen behind like implementation of national criminal laws / ICJS, CCTNS through a special drive and focus. We ll be there soon ! A proud achievement for the entire force. Keep it up, Team TG Police. 👍🏽👏

CV Anand IPS

15,578 views • 1 month ago