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Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

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How to make thousands of gold 60-70 (TBC) 3 new ways to make gold in TBC anniversary with the megaservers: (whether you're leveling or 70, in the next 2 weeks gold is going to become the MAIN priority for flying, boes, gems, enchants) 1) 60-70 Auction profit - using auctionator and the "disenchant tooltip" feature, you can snipe tons of items that are pure profit when disenchanted. many have made thousands from this including streamer SimonizeShow 2) The 65*-70 Profit There's a spot in blade's edge that entirely relies on blizzard's new "congestion" solution working out. there are level 67-68 elementals that drop primal fires, but the spot usually is terrible and crowded. if it's empty though, this should be your home for as long as possible 3) The 68-70+ Home Strech There are 2 spots that stand out at 70, kirinvar village (good) and throne of kiljaeden (godly). kirinvar is basically just..tons of primal manas with instant respawns. throne of kiljaeden is bot proof and prints primal fires with instant respawns for up to 400g/hr

How to make thousands of gold 60-70 (TBC) 3 new ways to make gold in TBC anniversary with the megaservers: (whether you're leveling or 70, in the next 2 weeks gold is going to become the MAIN priority for flying, boes, gems, enchants) 1) 60-70 Auction profit - using auctionator and the "disenchant tooltip" feature, you can snipe tons of items that are pure profit when disenchanted. many have made thousands from this including streamer SimonizeShow 2) The 65*-70 Profit There's a spot in blade's edge that entirely relies on blizzard's new "congestion" solution working out. there are level 67-68 elementals that drop primal fires, but the spot usually is terrible and crowded. if it's empty though, this should be your home for as long as possible 3) The 68-70+ Home Strech There are 2 spots that stand out at 70, kirinvar village (good) and throne of kiljaeden (godly). kirinvar is basically just..tons of primal manas with instant respawns. throne of kiljaeden is bot proof and prints primal fires with instant respawns for up to 400g/hr

NoHitJerome

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When I was on Flagrant Podcast, Andrew Schulz 👑HEZI asked me about Bible translation. How exactly do you render ancient languages like Hebrew and Greek into English? It’s not as hard as you might think but context is very important. What to learn Hebrew and Greek for yourself? Make sure to go to Biblingo and use promo code WESHUFF10 to get started with a discount! Also don’t sleep on Logos Bible Study Platform, and by going through the link at you can get 60 days of Logos Bible Software absolutely free!

When I was on Flagrant Podcast, Andrew Schulz 👑HEZI asked me about Bible translation. How exactly do you render ancient languages like Hebrew and Greek into English? It’s not as hard as you might think but context is very important. What to learn Hebrew and Greek for yourself? Make sure to go to Biblingo and use promo code WESHUFF10 to get started with a discount! Also don’t sleep on Logos Bible Study Platform, and by going through the link at you can get 60 days of Logos Bible Software absolutely free!

Wes Huff

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Getting started with Hardware Design is as easy as 1, 2, 3, 4... 1. Draw the circuit using building blocks. 2. Map the inputs and output to FPGA pins. 3. Verify and Build. 4. Upload to the board! And you can do pretty serious stuff with this. While we start with iCEStudio (visual blocks based design) we don't have to stick to that. We can just as well write hardware using HDL and fire the compiler etc ourselves. The LUT count on the FPGA is enough to deploy a tiny RISC-V based SoC! Yes! From the Basics of Digital Electronics to customizing a RISC-V based SoC - Soan Papdi is your companion on the journey! Lectures on the basics will be uploaded to YouTube. Lectures on CPU/SoC related topics will be made available to the Library Subscribers. + You can learn more about Soan Papdi FPGA here: + You can join the Library Access with a 70% Discount here: IMPORTANT: We will revise the prices of Library Access, effective 9th Feb.

Getting started with Hardware Design is as easy as 1, 2, 3, 4... 1. Draw the circuit using building blocks. 2. Map the inputs and output to FPGA pins. 3. Verify and Build. 4. Upload to the board! And you can do pretty serious stuff with this. While we start with iCEStudio (visual blocks based design) we don't have to stick to that. We can just as well write hardware using HDL and fire the compiler etc ourselves. The LUT count on the FPGA is enough to deploy a tiny RISC-V based SoC! Yes! From the Basics of Digital Electronics to customizing a RISC-V based SoC - Soan Papdi is your companion on the journey! Lectures on the basics will be uploaded to YouTube. Lectures on CPU/SoC related topics will be made available to the Library Subscribers. + You can learn more about Soan Papdi FPGA here: + You can join the Library Access with a 70% Discount here: IMPORTANT: We will revise the prices of Library Access, effective 9th Feb.

Piyush Itankar

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$GME GameStop okay I might be missing something here… But can’t stop thinking about something Ryan Cohen said yesterday… Let me begin by first saying Ryan Cohen is VERY careful with his words. Listen to this part of the interview. Ryan is using deal math that gets to a post-merger ownership of 60% eBay / 40% GameStop for existing shareholders. But at Friday’s closing stock price of $26.53, that math was 70:30 (see below) I don’t think Ryan meant this point as a hypothetical. Meaning I think the dilution math will ACTUALLY be 60:40. Which brings me to key point #1: This would mean Ryan is implying $GME stock will be at the price needed for 60:40 by the time the deal is finalized. Well, for ownership split to be 60:40… According to my math (disclaimer: I’m bad at math) that price is ~$40. Ryan also said he’s ready to GO on the transaction NOW. Which brings me to key point #2: This would mean GameStop is sitting on news. And Ryan is confident that news will send the stock to *drumroll please*… AT LEAST $40. That’s how he’s going to buy eBay. 50% cash, 50% stock. It’s on the website. In Ryan we trust. Moass is tomorrow.

$GME GameStop okay I might be missing something here… But can’t stop thinking about something Ryan Cohen said yesterday… Let me begin by first saying Ryan Cohen is VERY careful with his words. Listen to this part of the interview. Ryan is using deal math that gets to a post-merger ownership of 60% eBay / 40% GameStop for existing shareholders. But at Friday’s closing stock price of $26.53, that math was 70:30 (see below) I don’t think Ryan meant this point as a hypothetical. Meaning I think the dilution math will ACTUALLY be 60:40. Which brings me to key point #1: This would mean Ryan is implying $GME stock will be at the price needed for 60:40 by the time the deal is finalized. Well, for ownership split to be 60:40… According to my math (disclaimer: I’m bad at math) that price is ~$40. Ryan also said he’s ready to GO on the transaction NOW. Which brings me to key point #2: This would mean GameStop is sitting on news. And Ryan is confident that news will send the stock to drumroll please… AT LEAST $40. That’s how he’s going to buy eBay. 50% cash, 50% stock. It’s on the website. In Ryan we trust. Moass is tomorrow.

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This is how you can get programmatic access to any website. You need two things: 1. The URL of the website 2. A prompt specifying what you want to do on the site Mino is a neat platform that uses browser automation and AI-powered navigation to understand your prompt, open the website, and extract the information you want. This opens the doors to unlimited potential automations you could build using data from everyday websites that don't give you an API. Mino uses AI to go way further than you could get by using a regular web scraping tool: • It can handle dynamic JavaScript content • It can handle login walls • It can navigate through interactive booking flows • It adapts to different interfaces and layout changes • It can fill out forms automatically • It supports stealth browser mode In my experience, running Mino on relatively straightforward sites takes about 30-60 seconds to complete. The more times you run it, the faster it gets. I recorded a quick video to show you the platform. You can check their site here: Thanks to the team for the support, onboarding me on their platform, and the collaboration on this post.

Santiago

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Goldman Sachs CEO David Solomon on the $500 billion Nvidia deal: "there's $9 trillion sitting in US money market funds. there's a hundred trillion dollars in US equities. will the returns from all of these things be ample? of course not - there'll be winners and losers" this is the seven of them explaining what a single gigawatt actually costs, what happens to the assets if the companies using them run out of cash, and how fast this is being built compared to the internet BlackRock CEO Larry Fink: "each gigawatt costs 50 to 60 billion. in the United States alone we're going to need over 70 gigawatts" "this is the very beginning, like what it was when I started in the mortgage-backed securities market in the 1970s" Jensen Huang on the failure case: "even if the players run out of cash, there will always be a customer for that computing platform" "it's not Nvidia's money. this is all third party independent long-term capital" bookmark & watch the full conversation, then read the article below ↓

Goldman Sachs CEO David Solomon on the $500 billion Nvidia deal: "there's $9 trillion sitting in US money market funds. there's a hundred trillion dollars in US equities. will the returns from all of these things be ample? of course not - there'll be winners and losers" this is the seven of them explaining what a single gigawatt actually costs, what happens to the assets if the companies using them run out of cash, and how fast this is being built compared to the internet BlackRock CEO Larry Fink: "each gigawatt costs 50 to 60 billion. in the United States alone we're going to need over 70 gigawatts" "this is the very beginning, like what it was when I started in the mortgage-backed securities market in the 1970s" Jensen Huang on the failure case: "even if the players run out of cash, there will always be a customer for that computing platform" "it's not Nvidia's money. this is all third party independent long-term capital" bookmark & watch the full conversation, then read the article below ↓

Сarm1ne

512,895 görüntüleme • 15 gün önce

It would cost 1.28 million PKR to fill up the tanks of 30 SUVs (80 litre) at the increased fuel price of 535 rs per litre. Pakistani officials including the President, Prime Minister, Chief Ministers, Chief Justices and others have been frequently seen travelling in motorcades of over 30 cars which consist mostly of SUVs using high octane, police mobiles and even ambulances. Now the Pakistani taxpayer will pay 60-70% more to fulfil the indulgences of our elite which prefers to travel whilst accompanied with dozens of luxury and security vehicles. CM Punjab also recently acquired a new Gulfstream VIP jet for upwards of $40 million. It is not immediately clear whether the government will increase the tax on jet fuel.

It would cost 1.28 million PKR to fill up the tanks of 30 SUVs (80 litre) at the increased fuel price of 535 rs per litre. Pakistani officials including the President, Prime Minister, Chief Ministers, Chief Justices and others have been frequently seen travelling in motorcades of over 30 cars which consist mostly of SUVs using high octane, police mobiles and even ambulances. Now the Pakistani taxpayer will pay 60-70% more to fulfil the indulgences of our elite which prefers to travel whilst accompanied with dozens of luxury and security vehicles. CM Punjab also recently acquired a new Gulfstream VIP jet for upwards of $40 million. It is not immediately clear whether the government will increase the tax on jet fuel.

Hamza Azhar Salam

51,804 görüntüleme • 5 ay önce

DMRC Introduces Multiple Journey QR Ticket (MJQRT) to Enhance Passenger Convenience As part of its ongoing ‘Ease of Booking’ initiative through digitalization, the Delhi Metro Rail Corporation (DMRC) today launched the Multiple Journey QR Ticket (MJQRT), a cutting-edge technology designed to offer greater convenience for passengers by eliminating the need for purchasing daily QR tickets. DMRC’s Managing Director, Dr. Vikas Kumar launched the new feature today at Metro Bhawan in the presence of other senior officials. Key Features and Benefits of MJQRT: First-of-its-kind solution: MJQRT is a revolutionary digital initiative, marking the first time in India that a QR-based multiple-journey product is being introduced. Exclusively on दिल्ली सारथी (Momentum 2.0): Available exclusively on DMRC’s Delhi Metro Sarathi (Momentum 2.0) app, MJQRT provides passengers with a seamless, efficient way to manage multiple journeys on the Delhi Metro. Availability: This feature will be available for App users from tomorrow. Comprehensive journey management: Passengers will be able to view their journeys, including fare payments and recharges, directly on the app. Simple onboarding: To avail the MJQRT, users must register on the दिल्ली सारथी (Momentum 2.0) app and can start with an initial amount of Rs. 150, which can be used for metro travel. No security deposit: There is no security deposit required for the MJQRT. Flexible recharge options: Users can easily add value in multiples of Rs. 50 through digital payment methods such as UPI, credit cards, and debit cards, with a maximum balance limit of Rs. 3,000. Minimum balance for travel: A minimum balance of Rs. 60 is required to travel using the MJQRT. Discounts on travel: MJQRT offers passengers a 10% discount during peak hours (8 AM - 12 PM and 5 PM - 9 PM) and a 20% discount during off-peak hours. Eco-friendly alternative: MJQRT serves as an eco-friendly and economical alternative to the traditional smart cards currently in use. Secure and recoverable: In case of theft, loss, or damage to the mobile device, the remaining balance will remain intact, and passengers can continue using the MJQRT by logging in on another device. The ‘Ease of Booking’ program by DMRC emphasizes multiple modes of ticket booking, multiple fare media, and multiple payment options. The MJQRT is the latest addition to the existing fare media options, including single journey QR tickets, NCMC, and DMRC smart cards. Dr Vikas Kumar MD DMRC while launching this initiative said “We are pleased to launch the Multiple Journey QR Ticket (MJQRT) as part of our ‘Ease of Booking’ initiative. MJQRT simplifies travel with a single QR code, enhancing convenience and offering eco-friendly benefits. This innovation reflects our commitment to improving the passenger experience on Delhi Metro” With the launch of MJQRT, DMRC reaffirms its dedication to enhancing passenger experiences through digital innovation, making metro travel more convenient and environment friendly.

DMRC Introduces Multiple Journey QR Ticket (MJQRT) to Enhance Passenger Convenience As part of its ongoing ‘Ease of Booking’ initiative through digitalization, the Delhi Metro Rail Corporation (DMRC) today launched the Multiple Journey QR Ticket (MJQRT), a cutting-edge technology designed to offer greater convenience for passengers by eliminating the need for purchasing daily QR tickets. DMRC’s Managing Director, Dr. Vikas Kumar launched the new feature today at Metro Bhawan in the presence of other senior officials. Key Features and Benefits of MJQRT: First-of-its-kind solution: MJQRT is a revolutionary digital initiative, marking the first time in India that a QR-based multiple-journey product is being introduced. Exclusively on दिल्ली सारथी (Momentum 2.0): Available exclusively on DMRC’s Delhi Metro Sarathi (Momentum 2.0) app, MJQRT provides passengers with a seamless, efficient way to manage multiple journeys on the Delhi Metro. Availability: This feature will be available for App users from tomorrow. Comprehensive journey management: Passengers will be able to view their journeys, including fare payments and recharges, directly on the app. Simple onboarding: To avail the MJQRT, users must register on the दिल्ली सारथी (Momentum 2.0) app and can start with an initial amount of Rs. 150, which can be used for metro travel. No security deposit: There is no security deposit required for the MJQRT. Flexible recharge options: Users can easily add value in multiples of Rs. 50 through digital payment methods such as UPI, credit cards, and debit cards, with a maximum balance limit of Rs. 3,000. Minimum balance for travel: A minimum balance of Rs. 60 is required to travel using the MJQRT. Discounts on travel: MJQRT offers passengers a 10% discount during peak hours (8 AM - 12 PM and 5 PM - 9 PM) and a 20% discount during off-peak hours. Eco-friendly alternative: MJQRT serves as an eco-friendly and economical alternative to the traditional smart cards currently in use. Secure and recoverable: In case of theft, loss, or damage to the mobile device, the remaining balance will remain intact, and passengers can continue using the MJQRT by logging in on another device. The ‘Ease of Booking’ program by DMRC emphasizes multiple modes of ticket booking, multiple fare media, and multiple payment options. The MJQRT is the latest addition to the existing fare media options, including single journey QR tickets, NCMC, and DMRC smart cards. Dr Vikas Kumar MD DMRC while launching this initiative said “We are pleased to launch the Multiple Journey QR Ticket (MJQRT) as part of our ‘Ease of Booking’ initiative. MJQRT simplifies travel with a single QR code, enhancing convenience and offering eco-friendly benefits. This innovation reflects our commitment to improving the passenger experience on Delhi Metro” With the launch of MJQRT, DMRC reaffirms its dedication to enhancing passenger experiences through digital innovation, making metro travel more convenient and environment friendly.

Delhi Metro Rail Corporation

14,334 görüntüleme • 1 yıl önce

Read this logic and tell me why there isn't a dude making $20k/month with an inflatable mechanical bull at every mall and farmer's market in America: - Cost: $5k upfront - Kiosk rent at a nice, busy mall: $4k/month - Malls are open for 70 hours/week. Price it at $15 for 1 ride or $20 for 3. - Your only variable cost is a $15/hour employee. The electricity is included in your rent (I had a mall kiosk a lifetime ago) - All you need is the bull and an iPad to process the liability waver and accept payments. 1st month doesn't work out? NBD. It's a month to month lease. Sign a long term lease for a discount. Sell the bull on CL for a $1k loss. The rides last 1 - 30 seconds. Let's say average ticket size is $17. Slow hours you have 2 customers and busy hours you have 20. Let's say 6 customers per hour to be conservative. 6 * $17 * 70 hours/week * 4.5 weeks/month = $32k/month top line. Payroll, insurance and rent costs are ~35%. 65% net margins or $20k profit per month. More customers than expected? 70+% margins. The Galleria Dallas gets 33,000 visitors per day. You telling me you can't convince 60 of them to ride a bull? Be sure to have surge pricing. $25 when there's a line on the weekend. $5 when it's dead. Find an employee that can sell to passersby. Can't lose. Who's in? I got this idea after taking my son to a church event that had one. You know I HAD TO quiz the operator. These numbers are very conservative. Retail is all about experiences nowadays. This would be a great experience, and very short form video-able. Follow me Chris Koerner for more reasons to impulsively spend $5k on a business idea that your wife may divorce you for.

Read this logic and tell me why there isn't a dude making $20k/month with an inflatable mechanical bull at every mall and farmer's market in America: - Cost: $5k upfront - Kiosk rent at a nice, busy mall: $4k/month - Malls are open for 70 hours/week. Price it at $15 for 1 ride or $20 for 3. - Your only variable cost is a $15/hour employee. The electricity is included in your rent (I had a mall kiosk a lifetime ago) - All you need is the bull and an iPad to process the liability waver and accept payments. 1st month doesn't work out? NBD. It's a month to month lease. Sign a long term lease for a discount. Sell the bull on CL for a $1k loss. The rides last 1 - 30 seconds. Let's say average ticket size is $17. Slow hours you have 2 customers and busy hours you have 20. Let's say 6 customers per hour to be conservative. 6 * $17 * 70 hours/week * 4.5 weeks/month = $32k/month top line. Payroll, insurance and rent costs are ~35%. 65% net margins or $20k profit per month. More customers than expected? 70+% margins. The Galleria Dallas gets 33,000 visitors per day. You telling me you can't convince 60 of them to ride a bull? Be sure to have surge pricing. $25 when there's a line on the weekend. $5 when it's dead. Find an employee that can sell to passersby. Can't lose. Who's in? I got this idea after taking my son to a church event that had one. You know I HAD TO quiz the operator. These numbers are very conservative. Retail is all about experiences nowadays. This would be a great experience, and very short form video-able. Follow me Chris Koerner for more reasons to impulsively spend $5k on a business idea that your wife may divorce you for.

Chris Koerner

352,454 görüntüleme • 2 yıl önce

One guy built this app in a month and now it makes him more than $1,000,000 a year. No team. No investors. No marketing department. One developer. One month. One clever idea. The app is a camera for events. In its first month it got 100,000 downloads and he did not spend a single dollar on ads. Here is how he did it because the most interesting part is the growth itself. He did not bolt marketing onto the product. He made using the product the marketing itself. After that things kick in that almost nobody figures out. 1. You cannot use the app alone. For it to work the host has to pull every guest into it. Each install drags in dozens more right away. 2. One wedding is not one user but a whole crowd at once. 200 people scan one code in an evening and install the app. No ad brings that many for the same money and here the money is zero. 3. The guest becomes the host. He liked it at someone else's wedding and a month later he throws his own event and brings his own people. The loop spins itself and for free. 4. It does not look like an ad. To the guest it is a gift not some app forced on him. So they install it gladly and all of them do. 5. It all runs on emotion. A wedding. Memories. Shared shots. People film it and show their own people and a new wave comes in. Now let us count the money plain and honest. The subscription runs from 2 to 50 dollars. Say only every 20th person pays. That is 5,000 people out of 100,000. The average check a modest 20 dollars. 5,000 times 20 is 100,000 dollars a month. More than 3,000 a day. More than $1,000,000 a year. And all of this is one guy in a month without a single dollar on ads. He did not win on budget and not on a team. He won by sewing distribution into the very use of the product. You can lift almost any product this way. Could you build something like this on your own or is it just luck?

One guy built this app in a month and now it makes him more than $1,000,000 a year. No team. No investors. No marketing department. One developer. One month. One clever idea. The app is a camera for events. In its first month it got 100,000 downloads and he did not spend a single dollar on ads. Here is how he did it because the most interesting part is the growth itself. He did not bolt marketing onto the product. He made using the product the marketing itself. After that things kick in that almost nobody figures out. 1. You cannot use the app alone. For it to work the host has to pull every guest into it. Each install drags in dozens more right away. 2. One wedding is not one user but a whole crowd at once. 200 people scan one code in an evening and install the app. No ad brings that many for the same money and here the money is zero. 3. The guest becomes the host. He liked it at someone else's wedding and a month later he throws his own event and brings his own people. The loop spins itself and for free. 4. It does not look like an ad. To the guest it is a gift not some app forced on him. So they install it gladly and all of them do. 5. It all runs on emotion. A wedding. Memories. Shared shots. People film it and show their own people and a new wave comes in. Now let us count the money plain and honest. The subscription runs from 2 to 50 dollars. Say only every 20th person pays. That is 5,000 people out of 100,000. The average check a modest 20 dollars. 5,000 times 20 is 100,000 dollars a month. More than 3,000 a day. More than $1,000,000 a year. And all of this is one guy in a month without a single dollar on ads. He did not win on budget and not on a team. He won by sewing distribution into the very use of the product. You can lift almost any product this way. Could you build something like this on your own or is it just luck?

Blaze

10,703 görüntüleme • 1 ay önce

Cheki kitu! You guys requested for samaki wa kupaka in the comfort of your kitchen and I have delivered, your wish is always my command. Here is the recipe:- What you will need:- 1kg whole fish (2 whole Red snapper) 2 Royco chili cubes 1 teaspoon garlic ginger mince 1 lime (squeezed) 1 tablespoon Royco paprika For the sauce 400ml coconut cream 1/2 teaspoon Royco turmeric 1 lime (squeezed) Salt to taste What to do :- Wash the fish well using a knife put 2 shallow cuts on each side of the whole fish, ensure you don’t cut deep Marinate the fish with the Royco chili cube, Royco paprika, garlic ginger mince, lime juice and salt to taste. Massage it well until the fish is coated with the marinade all over. Lay the fish in an air fryer tray and air fry for about 15 minutes each side at 180°C. As the fish is roasting let’s make the sauce, in a pan over medium heat add in the the coconut cream bring to a boil, add in the Royco turmeric, salt to taste go in with the lime juice and cook until thick, once the fish is cooked on both sides pour the coconut sauce over the fish and baste with the sauce on both sides and serve with ugali and kachumbari. Enjoy Remember Taste Paradise with Royco is still on and we’d love for you to be part of it and stand a chance to win a trip to watamu for two an Air Fryer, Toaster, Gift vouchers and more. To participate, simply cook any meal using Royco Blends, Cubes, or Mchuzi Mix, post a 15 to 60 second video, use #TasteParadiseWithRoyco and #PikaKamaWewe also tag Royco Ke. Chelewa chelewa ukute mwana si wako. Vurunyaaa Mwanangu #recipe #chefalimandhry

Cheki kitu! You guys requested for samaki wa kupaka in the comfort of your kitchen and I have delivered, your wish is always my command. Here is the recipe:- What you will need:- 1kg whole fish (2 whole Red snapper) 2 Royco chili cubes 1 teaspoon garlic ginger mince 1 lime (squeezed) 1 tablespoon Royco paprika For the sauce 400ml coconut cream 1/2 teaspoon Royco turmeric 1 lime (squeezed) Salt to taste What to do :- Wash the fish well using a knife put 2 shallow cuts on each side of the whole fish, ensure you don’t cut deep Marinate the fish with the Royco chili cube, Royco paprika, garlic ginger mince, lime juice and salt to taste. Massage it well until the fish is coated with the marinade all over. Lay the fish in an air fryer tray and air fry for about 15 minutes each side at 180°C. As the fish is roasting let’s make the sauce, in a pan over medium heat add in the the coconut cream bring to a boil, add in the Royco turmeric, salt to taste go in with the lime juice and cook until thick, once the fish is cooked on both sides pour the coconut sauce over the fish and baste with the sauce on both sides and serve with ugali and kachumbari. Enjoy Remember Taste Paradise with Royco is still on and we’d love for you to be part of it and stand a chance to win a trip to watamu for two an Air Fryer, Toaster, Gift vouchers and more. To participate, simply cook any meal using Royco Blends, Cubes, or Mchuzi Mix, post a 15 to 60 second video, use #TasteParadiseWithRoyco and #PikaKamaWewe also tag Royco Ke. Chelewa chelewa ukute mwana si wako. Vurunyaaa Mwanangu #recipe #chefalimandhry

Ali Mandhry

12,151 görüntüleme • 2 ay önce

🚨 $HYPE 🚨 Current price: $68.5 I still expect further downside, and there are several technical reasons behind that view. 📍 The $69 – $70 zone remains a major resistance area and a key level to watch for a potential retest before the next significant move. But what excites me the most is how the previous setups played out. If you look back at my earlier posts: ✅ Long entry was identified around $60 – $62 ✅ Using Elliott Wave analysis, we projected a move toward $75 – $80 ✅ Around $74, Fibonacci levels highlighted a potential reversal zone So far, the market has respected these levels remarkably well. Of course, no setup is perfect and every trade can end in a stop loss. That's why risk-to-reward is everything. You don't need to be right every time when your winners are significantly larger than your losers. 📈 My goal isn't just to share predictions - it's to show the reasoning behind them so more people can learn technical analysis and make better decisions on their own. And one more thing... We're getting very close to 1,000 followers! 🎉 A huge thank you to everyone who reads, supports, and learns alongside me. I truly appreciate it. 👇 If you enjoy these market breakdowns: 👍 Like ❤️ Repost 🔔 Follow 📢 Turn on notifications #HYPE #Crypto #Trading #TechnicalAnalysis #Altcoins #CryptoCommunity

🚨 $HYPE 🚨 Current price: $68.5 I still expect further downside, and there are several technical reasons behind that view. 📍 The $69 – $70 zone remains a major resistance area and a key level to watch for a potential retest before the next significant move. But what excites me the most is how the previous setups played out. If you look back at my earlier posts: ✅ Long entry was identified around $60 – $62 ✅ Using Elliott Wave analysis, we projected a move toward $75 – $80 ✅ Around $74, Fibonacci levels highlighted a potential reversal zone So far, the market has respected these levels remarkably well. Of course, no setup is perfect and every trade can end in a stop loss. That's why risk-to-reward is everything. You don't need to be right every time when your winners are significantly larger than your losers. 📈 My goal isn't just to share predictions - it's to show the reasoning behind them so more people can learn technical analysis and make better decisions on their own. And one more thing... We're getting very close to 1,000 followers! 🎉 A huge thank you to everyone who reads, supports, and learns alongside me. I truly appreciate it. 👇 If you enjoy these market breakdowns: 👍 Like ❤️ Repost 🔔 Follow 📢 Turn on notifications #HYPE #Crypto #Trading #TechnicalAnalysis #Altcoins #CryptoCommunity

Zyak1991

26,442 görüntüleme • 2 ay önce

How much money do you need until it's enough? I ask this a lot on Moneywise and the answers are always interesting: - Bryan Johnson: $7M was his baseline number. Simple math: 7% interest vs inflation in rural Utah. Enough to "buy myself free time" with basics covered. - Vinay (Co-Founder of Loom): "$10M was my cliff for f*** you money" but looking back "it's probably too high... could be even lower" - Another founder: Original target was $20M, now keeps $10-30M liquidity as their "fortress of solitude" baseline - Tech founder couple: $5M using the 4% rule = $200K/year passive income. "Always found that $200K is plenty to have a really nice life" especially with house paid off The producer of Moneywise (Jackie) spoke to like 60-70 millionaires / billionaires and did an episode on whether money can actually make you happy her take on this is so awesome - money isn’t additive (i.e. doesn’t add happiness), it just subtracts the stuff that stops you being happy Give it a watch and let me know what you think!

How much money do you need until it's enough? I ask this a lot on Moneywise and the answers are always interesting: - Bryan Johnson: $7M was his baseline number. Simple math: 7% interest vs inflation in rural Utah. Enough to "buy myself free time" with basics covered. - Vinay (Co-Founder of Loom): "$10M was my cliff for f*** you money" but looking back "it's probably too high... could be even lower" - Another founder: Original target was $20M, now keeps $10-30M liquidity as their "fortress of solitude" baseline - Tech founder couple: $5M using the 4% rule = $200K/year passive income. "Always found that $200K is plenty to have a really nice life" especially with house paid off The producer of Moneywise (Jackie) spoke to like 60-70 millionaires / billionaires and did an episode on whether money can actually make you happy her take on this is so awesome - money isn’t additive (i.e. doesn’t add happiness), it just subtracts the stuff that stops you being happy Give it a watch and let me know what you think!

Sam Parr

311,211 görüntüleme • 1 yıl önce

Tom Lee just went on CNBC and said buy every dip in Korea, SK Hynix, and Samsung and here is why he is right (Save this). SK Hynix controls approximately 60% of the global HBM market and reported an operating margin of 72% in Q1 2026 and its entire HBM supply through 2026 is fully contracted. The selloff is technical driven by Korean retail leveraged ETF mechanics not a deterioration in the underlying business. The ADR listing is the structural event that changes the stock's trajectory. SK Hynix listed on Nasdaq under ticker SKHY on July 10, raising $29.65 billion, the largest foreign ADR offering in history, surpassing Alibaba's 2014 debut. Until this listing, most American institutional capital was categorically unable to own SK Hynix. Pension funds, index funds, and insurance companies operating under US listed only mandates had no direct path to the dominant AI memory company in the world and that changes overnight. SK Hynix trades at 6.2x forward P/E versus Micron's 7x, despite holding the superior position in HBM and that discount closes as passive inflows materialize. The core argument across all of it, unless memory and semiconductors are no longer central to AI and there is no replacement in sight there is no reason to be worried about Korea, SK Hynix, or Samsung. Every dip is buyable and Milk Road Pro members are up massively on these trades, come join Milk Road Pro for just a dollar using the link below to get our full trades.

Tom Lee just went on CNBC and said buy every dip in Korea, SK Hynix, and Samsung and here is why he is right (Save this). SK Hynix controls approximately 60% of the global HBM market and reported an operating margin of 72% in Q1 2026 and its entire HBM supply through 2026 is fully contracted. The selloff is technical driven by Korean retail leveraged ETF mechanics not a deterioration in the underlying business. The ADR listing is the structural event that changes the stock's trajectory. SK Hynix listed on Nasdaq under ticker SKHY on July 10, raising $29.65 billion, the largest foreign ADR offering in history, surpassing Alibaba's 2014 debut. Until this listing, most American institutional capital was categorically unable to own SK Hynix. Pension funds, index funds, and insurance companies operating under US listed only mandates had no direct path to the dominant AI memory company in the world and that changes overnight. SK Hynix trades at 6.2x forward P/E versus Micron's 7x, despite holding the superior position in HBM and that discount closes as passive inflows materialize. The core argument across all of it, unless memory and semiconductors are no longer central to AI and there is no replacement in sight there is no reason to be worried about Korea, SK Hynix, or Samsung. Every dip is buyable and Milk Road Pro members are up massively on these trades, come join Milk Road Pro for just a dollar using the link below to get our full trades.

Milk Road AI

72,869 görüntüleme • 1 ay önce

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

In 2026, 90% of all Polymarket profits will be taken by Python scripts.. And this is not a prediction. It’s already happening. So if you think political pundits and sports gurus are making profits in these areas, let me be the bearer of bad news. Studies have revealed that merely “16% of users are profitable.” More importantly, “most of these users are not human.” How bots are exactly taking your money: Speed. One bot made $313 into $438K in a month. It’s a simple trick: the bot would look at the btc price a few seconds before the price update on Polymarket by checking the price on Binance. There’s no strategy or intelligence involved: simply beating the latency of the system. Risk-Free Arbitrage It looks for markets where "YES + NO" equals less than $1. "94 cents," for example. The bot buys both sides of the market and makes off with 6 cents guaranteed. This occurs thousands of times daily. Not gambling but math. Stream parsing. In esports, the script is faster than the blink of an eye when parsing the stream for games like Dota 2 and League of Legends. A team fight appears on the screen. The bot has already placed its bets on the winner using the old odds. What is meant by the turning point of 2026? Dynamic fees were introduced on Polymarket to get rid of simple bots. But what happened? The difficulty level on this marketplace simply increased. Today, it is not only fast scripts that win. Full-on AI robots have joined this game. They read news and respond to certain events within a millisecond. But here comes the painful part: barrier to entry is dirt cheap. Virtual private servers for $60 per month. Libraries written in Python waiting on GitHub. But here’s the thing: You don’t have to create a bot of your own. All you have to do is copy those which are already winning. PolyCop helps you to track the most profitable wallets and replicate their trades automatically. No code. No infrastructure. Just tap into the wallets that are already dominating. → Copy the winners: Humans deal on intuition and vibes. Bots play on numbers and network latency. In this game, "intuition" always loses against "code." You have two choices here. You could learn how to code or you could “copy” people who have done it before you

Blaze

66,385 görüntüleme • 7 ay önce

Claude Code is now scary good at full-stack! I asked it to build a real-time weather intelligence dashboard with an interactive 3D globe, a forecasting layer that predicts weather 3 days ahead, and an anomaly detector that flags cities whose weather is behaving abnormally. It came back with a spinning globe that has a day/night cycle using NASA satellite imagery, city lights on the dark side, weather icons that switch between sun and moon based on local time, and a time travel slider that scrubs through 10 days of data. And when a city's weather breaks from its own normal, it pulses red (abnormally hot) or blue (abnormally cold) right on the globe, updating live and reflecting the anomaly state at any point you drag the slider to. Claude Code built the whole thing in a single session, including the backend, database, data pipeline, and frontend. For the database, I needed something fast for time-series workloads since the app ingests hourly weather readings across many cities and serves time-range queries on every slider interaction. I used Tiger Cloud by Tiger Data - Creators of TimescaleDB, which gives you managed TimescaleDB on the Postgres you already know. Claude Code connected to it through the Tiger CLI MCP server and set up the entire backend directly: - Provisioned the database service - Created hypertables for time-partitioned weather storage - Set up continuous aggregates for pre-computed rollups - Built the data ingestion pipeline and the full NextJS + ThreeJS frontend The time travel slider queries thousands of rows on every position change. On a regular Postgres table, this would require manual partitioning and index tuning to stay fast as data grows. TimescaleDB partitions the data by timestamp automatically, so each query only hits the relevant time chunk. Continuous aggregates serve the trend charts, the forecast layer, and the anomaly baselines from pre-computed rollups instead of rescanning raw data on every request. The video below shows the final build in action, and I worked with the Tiger Data team to put this together. Tiger CLI is open-source (Apache 2.0) and works with Claude Code, Cursor, Codex, Gemini CLI, and VS Code. To try this yourself: → Sign up for Tiger Cloud (I have shared the link in the replies). It gives you $1,000 free credits (no card needed) → Install Tiger CLI: curl -fsSL https(:)//cli(.)tigerdata(.)com | sh → Run tiger mcp install claude-code → Give Claude Code a prompt and let it build sign-up here: My co-founder also wrote a detailed article on this. The article is quoted below.

Claude Code is now scary good at full-stack! I asked it to build a real-time weather intelligence dashboard with an interactive 3D globe, a forecasting layer that predicts weather 3 days ahead, and an anomaly detector that flags cities whose weather is behaving abnormally. It came back with a spinning globe that has a day/night cycle using NASA satellite imagery, city lights on the dark side, weather icons that switch between sun and moon based on local time, and a time travel slider that scrubs through 10 days of data. And when a city's weather breaks from its own normal, it pulses red (abnormally hot) or blue (abnormally cold) right on the globe, updating live and reflecting the anomaly state at any point you drag the slider to. Claude Code built the whole thing in a single session, including the backend, database, data pipeline, and frontend. For the database, I needed something fast for time-series workloads since the app ingests hourly weather readings across many cities and serves time-range queries on every slider interaction. I used Tiger Cloud by Tiger Data - Creators of TimescaleDB, which gives you managed TimescaleDB on the Postgres you already know. Claude Code connected to it through the Tiger CLI MCP server and set up the entire backend directly: - Provisioned the database service - Created hypertables for time-partitioned weather storage - Set up continuous aggregates for pre-computed rollups - Built the data ingestion pipeline and the full NextJS + ThreeJS frontend The time travel slider queries thousands of rows on every position change. On a regular Postgres table, this would require manual partitioning and index tuning to stay fast as data grows. TimescaleDB partitions the data by timestamp automatically, so each query only hits the relevant time chunk. Continuous aggregates serve the trend charts, the forecast layer, and the anomaly baselines from pre-computed rollups instead of rescanning raw data on every request. The video below shows the final build in action, and I worked with the Tiger Data team to put this together. Tiger CLI is open-source (Apache 2.0) and works with Claude Code, Cursor, Codex, Gemini CLI, and VS Code. To try this yourself: → Sign up for Tiger Cloud (I have shared the link in the replies). It gives you $1,000 free credits (no card needed) → Install Tiger CLI: curl -fsSL https(:)//cli(.)tigerdata(.)com | sh → Run tiger mcp install claude-code → Give Claude Code a prompt and let it build sign-up here: My co-founder also wrote a detailed article on this. The article is quoted below.

Akshay 🚀

35,215 görüntüleme • 5 gün önce

This is the first real AI cold war. Anthropic is HIDING secret spy code inside its most popular coding tool. The code was designed to identify Chinese users without their knowledge. Now Alibaba has banned every single Anthropic product from its entire company. And the full picture is way more insane than either side wants you to see: On June 30, a security researcher on Reddit reverse-engineered Claude Code, Anthropic's AI coding agent that has deep access to every file on your computer. What they found buried inside the software was genuinely disturbing... Since April 2, Anthropic had been silently shipping hidden detection code inside every copy of Claude Code. The code checked whether your system timezone was set to Shanghai or Urumqi. It scanned your proxy settings against a hardcoded list of Chinese corporate networks, specifically targeting Alibaba, ByteDance, Baidu, and Moonshot AI. But here is the part that made security researchers lose their minds: The code did not send a normal signal back to Anthropic's servers. Instead it used steganography, a technique from military intelligence, to hide its findings INSIDE the text Claude was already generating. It swapped invisible Unicode characters in Claude's system prompt. Changed a standard apostrophe to one of three visually identical but technically different characters depending on which flags triggered. Switched date formats from dashes to slashes. Invisible to the human eye. But perfectly readable by Anthropic's backend. The detection logic was XOR-obfuscated to prevent anyone from finding it during a code review. It shipped with zero disclosure in the release notes. Three months of silent surveillance baked into a tool that has full access to your local file system. An Anthropic engineer confirmed the whole thing on X on July 2. Called it "an experiment we launched in March that was meant to prevent account abuse." Said the team had "been meaning to take this down for a while." The code was removed on July 1, one day after the Reddit post went viral. Three months of covert user fingerprinting. Removed the day after someone found it. Described as an experiment they forgot to turn off... Now here is where it becomes a full blown corporate war: Three weeks before the backdoor was discovered, Anthropic had sent a letter to the US Senate Banking Committee accusing operators linked to Alibaba's Qwen AI lab of running the largest model theft campaign in the company's history. 25,000 fake accounts. 28.8 million queries over 44 days. All designed to copy Claude's reasoning capabilities and train a competing Chinese model for free. So the sequence reads like this: Alibaba allegedly steals Claude's brain using 25,000 fake accounts. Anthropic responds by secretly embedding surveillance code inside Claude Code to catch them. A Reddit user catches Anthropic doing it. Alibaba uses the discovery as justification to ban every Anthropic product from its entire workforce effective July 10 and force 200,000 employees onto its own tool, Qoder. The thief caught the cop planting a wiretap. And now the thief is using the wiretap as evidence that the cop is the real criminal. Alibaba classified Claude Code as "high-risk software with security vulnerabilities" in an internal notice reported by the South China Morning Post. Meanwhile Anthropic is simultaneously fighting the Pentagon over a blacklist designation, lobbying Washington to crack down on Chinese distillation, and getting caught running the exact kind of covert operation that makes their "responsible AI" branding look like a punchline. Alibaba allegedly ran the largest AI theft operation ever documented. Anthropic secretly built invisible tracking into a tool with root access to your computer. The US government restricted American access to the very models China already copied. And a random Reddit user with a debugger exposed the whole thing.

This is the first real AI cold war. Anthropic is HIDING secret spy code inside its most popular coding tool. The code was designed to identify Chinese users without their knowledge. Now Alibaba has banned every single Anthropic product from its entire company. And the full picture is way more insane than either side wants you to see: On June 30, a security researcher on Reddit reverse-engineered Claude Code, Anthropic's AI coding agent that has deep access to every file on your computer. What they found buried inside the software was genuinely disturbing... Since April 2, Anthropic had been silently shipping hidden detection code inside every copy of Claude Code. The code checked whether your system timezone was set to Shanghai or Urumqi. It scanned your proxy settings against a hardcoded list of Chinese corporate networks, specifically targeting Alibaba, ByteDance, Baidu, and Moonshot AI. But here is the part that made security researchers lose their minds: The code did not send a normal signal back to Anthropic's servers. Instead it used steganography, a technique from military intelligence, to hide its findings INSIDE the text Claude was already generating. It swapped invisible Unicode characters in Claude's system prompt. Changed a standard apostrophe to one of three visually identical but technically different characters depending on which flags triggered. Switched date formats from dashes to slashes. Invisible to the human eye. But perfectly readable by Anthropic's backend. The detection logic was XOR-obfuscated to prevent anyone from finding it during a code review. It shipped with zero disclosure in the release notes. Three months of silent surveillance baked into a tool that has full access to your local file system. An Anthropic engineer confirmed the whole thing on X on July 2. Called it "an experiment we launched in March that was meant to prevent account abuse." Said the team had "been meaning to take this down for a while." The code was removed on July 1, one day after the Reddit post went viral. Three months of covert user fingerprinting. Removed the day after someone found it. Described as an experiment they forgot to turn off... Now here is where it becomes a full blown corporate war: Three weeks before the backdoor was discovered, Anthropic had sent a letter to the US Senate Banking Committee accusing operators linked to Alibaba's Qwen AI lab of running the largest model theft campaign in the company's history. 25,000 fake accounts. 28.8 million queries over 44 days. All designed to copy Claude's reasoning capabilities and train a competing Chinese model for free. So the sequence reads like this: Alibaba allegedly steals Claude's brain using 25,000 fake accounts. Anthropic responds by secretly embedding surveillance code inside Claude Code to catch them. A Reddit user catches Anthropic doing it. Alibaba uses the discovery as justification to ban every Anthropic product from its entire workforce effective July 10 and force 200,000 employees onto its own tool, Qoder. The thief caught the cop planting a wiretap. And now the thief is using the wiretap as evidence that the cop is the real criminal. Alibaba classified Claude Code as "high-risk software with security vulnerabilities" in an internal notice reported by the South China Morning Post. Meanwhile Anthropic is simultaneously fighting the Pentagon over a blacklist designation, lobbying Washington to crack down on Chinese distillation, and getting caught running the exact kind of covert operation that makes their "responsible AI" branding look like a punchline. Alibaba allegedly ran the largest AI theft operation ever documented. Anthropic secretly built invisible tracking into a tool with root access to your computer. The US government restricted American access to the very models China already copied. And a random Reddit user with a debugger exposed the whole thing.

Ricardo

23,634 görüntüleme • 1 ay önce

I built an agent that answers machine-learning questions. It's autonomous, and the best part is that I built the whole thing without writing a single line of Python code. Here is what I did and how I did it: Over a year ago, a friend and I built a site that publishes multi-choice questions. You get a new one every day. I decided to have GPT-3.5 answer questions. Here is what I needed to build: 1. Connect to the site's API to retrieve today's question 2. Extract the question and the potential choices 3. Connect to OpenAI's API and ask GPT-3.5 to answer the question 4. Parse the answer from the model 5. Submit the answer back to the API to get the score Not difficult. Likely several hours of work. But I didn't have to write any code. I built the whole thing by dragging and dropping components using Vellum is a YC-backed platform for developers to build LLM applications. They are the only ones I've seen offering this functionality. They sponsored this post, and their team helped me with all my questions while I built this. I created a workflow. The platform supports several node types to build whatever you have in mind. I show how I put the whole thing together in the attached video. The only code I had to write was a few lines of Jinja to parse and transform the API and the LLM results. There are three lessons I want to share from this experience: First, the best possible code is the one you didn't write. I'm a big fan of no-code tools because they help me materialize my ideas fast. They help product people, designers, and no coders collaborate on the solution. Second, Large Language Models are sensitive to how you prompt them. Small changes to prompts can make a big difference in results. This is more pronounced when you are building a multi-step workflow. Third, automated testing and evaluation for prompts is critical. There aren't many companies thinking about this. They'll have a hard time moving from a demo phase. The attached video will show you what I did.

I built an agent that answers machine-learning questions. It's autonomous, and the best part is that I built the whole thing without writing a single line of Python code. Here is what I did and how I did it: Over a year ago, a friend and I built a site that publishes multi-choice questions. You get a new one every day. I decided to have GPT-3.5 answer questions. Here is what I needed to build: 1. Connect to the site's API to retrieve today's question 2. Extract the question and the potential choices 3. Connect to OpenAI's API and ask GPT-3.5 to answer the question 4. Parse the answer from the model 5. Submit the answer back to the API to get the score Not difficult. Likely several hours of work. But I didn't have to write any code. I built the whole thing by dragging and dropping components using Vellum is a YC-backed platform for developers to build LLM applications. They are the only ones I've seen offering this functionality. They sponsored this post, and their team helped me with all my questions while I built this. I created a workflow. The platform supports several node types to build whatever you have in mind. I show how I put the whole thing together in the attached video. The only code I had to write was a few lines of Jinja to parse and transform the API and the LLM results. There are three lessons I want to share from this experience: First, the best possible code is the one you didn't write. I'm a big fan of no-code tools because they help me materialize my ideas fast. They help product people, designers, and no coders collaborate on the solution. Second, Large Language Models are sensitive to how you prompt them. Small changes to prompts can make a big difference in results. This is more pronounced when you are building a multi-step workflow. Third, automated testing and evaluation for prompts is critical. There aren't many companies thinking about this. They'll have a hard time moving from a demo phase. The attached video will show you what I did.

Santiago

309,825 görüntüleme • 2 yıl önce