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1V1 Ranked Build Fights ⚔️ ▶️ Map Code: 8981-7388-5092 Multiple Challenges: Reach Unreal First & Win $100 or V-Bucks Equivalent Hit the Best Clip & Join NXG & More

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JFT

13,395 subscribers

13,716 Aufrufe • vor 1 Jahr •via X (Twitter)

Gaming
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Anya Rossi• Live Now

Private livecam show

11 Kommentare

Profilbild von JFT
JFTvor 1 Jahr

New Map Code ▶️ 0348-7145-0318

Profilbild von OPEN
OPENvor 1 Jahr

Who’s gonna outlast everyone in this battle royale? Take on the challenge and claim victory!

Profilbild von Mr JFT
Mr JFTvor 1 Jahr

Someone 1v1 me, I need the vbucks 🫡

Profilbild von Pumpkin
Pumpkinvor 1 Jahr

unreal grind starts now.

Profilbild von fa charme
fa charmevor 1 Jahr

whos playin ts

Profilbild von JFT Tele 
JFT Tele vor 1 Jahr

Might grind the 1v1s again

Profilbild von unicyy
unicyyvor 1 Jahr

oskys jawline is immaculate

Profilbild von JFT Conzy
JFT Conzyvor 1 Jahr

tuff map

Profilbild von patrixk
patrixkvor 1 Jahr

@Gabitator

Profilbild von patrixk
patrixkvor 1 Jahr

sooooo no1 in the map and i have no friends, how do i get unreal?

Profilbild von Tassie1234
Tassie1234vor 1 Jahr

@Zephzxz atleast these guys give money for unreal first

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Marathon | Ultimate Overview, Gameplay, Hands-On Impressions ▪️Team based extraction shooter set on Tau Ceti IV, scavenge remains of a lost colony for glory and fortune ▪️Launch: Coming to PS5, Xbox and PC on September 23 ▪️Will be a "premium" product, meaning not F2P ▪️"Weapons and movement feels crisp, fluid, and incredibly satisfying in that rarified way that few studios can achieve" ▪️3 maps, 6 runner classes at launch, more to follow post-launch ▪️Plans to support the game with new maps, weapons, characters, and more as it goes on ▪️Ranked play, end game challenges, seasonal storytelling, secrets to discover, community events all in Season One with more content coming ▪️You play as a "runner", cybernetic mercenary who's given up their human form for a bio-synthetic shell with unique abilities and stats ▪️Runner Types: "Locus" is a soldier class for pushing forward, can use a shield, "Void" is stealth, sneak by undetected, use smoke grenades, "Blackbird" is reconnaissance based, find players, positioning, and more ▪️Uncover secrets hidden in the wake of the original Marathon trilogy's events - how and where this overlaps or clashes with the original games "is a story that will unfold over time" ▪️Objective is to get in, get as much loot as you can, and get out alive ▪️If you die, your gear and loot will be up for grabs. Survive and you can take your gear with you on future runs as you grow in power and fill your vault ▪️Fight in a crew of up to 3 players, various map sizes up to 18 players ▪️PvP + PvE, battle other players, security forces, and "otherworldly threats" ▪️Contextual pings, shared objectives, down-but-not-out mechanics ▪️Environments are filled with weapons, materials, items, resources, cores, keys, backpacks, secrets etc to find You can find things like backpacks that expand your inventory, powerful and unique weapons, consumables to heal yourself, ▪️Select your runner, strategically build your loadouts pre-match ▪️Factions in the game can sponsor you and your loadout ▪️You have the freedom to opt out of crew fill and take all the glory for yourself as a solo runner ▪️"This is probably the best-looking, best-feeling extraction shooter ever made", not easy for newcomers to the genre, can be tough to get into, but one previewer was "reluctant to put Marathon down. This is a good sign – the best thing I can say after any preview is that I want more – but big questions remain" ▪️No two matches ever play out the same, dynamic events, variable weather, unpredictable players etc ▪️Customization: Each Runner "brings their own flair", but serve as foundations to customize your playstyle - collect implants and equipment to augment your Runner, like stacking implants/upgrades to reduce heat build-up to allow you to keep running, jumping, sliding longer ▪️Contracts: "Ingenious" incentives, finish contracts you accept for permanent upgrades to your stats, add precious items like grenades, shields, inventory-expanding backpacks, etc to your market. The bigger your market, the better your minimum loadout becomes ▪️Contracts provide "valuable direction", bring welcome diversity and add a "precious hit of semi-permanent progression" ▪️Prestige Cores: Rare items that can "really push the boundaries" (ex: Glitch has an upgrade that turns double jump into triple jump for more manueverability) ▪️Another rare item is a backpack that turns you invisible while interacting with containers (very useful when everyone on the map is hunting you) ▪️Each match "feels like the most important one ever", high stakes, "surprisingly challenging AI enemies" that were "much, much better at surrounding and overwhelming players than the vast majority of AI enemies found in other games" ▪️Having a balanced crew helps in exploring the "dark and forgotten places" in maps - filled with deadly creatures like a species of giant ticks who swarm you frantically ▪️Battles can become frantic as you encounter other crews, stalk them across the map, encounter AI enemies to fend off when others come to claim your loot (one preview battle turned into a 9 player free-for-all) ▪️Downside could be the reward system where skilled players enter fresh matches with high level gear that outmatches less skilled players, though Bungie says it has gone out of its way to try and make it where a poorly equipped squad can still stand a chance if they play well ▪️Even if you die, you can can still get upgrades, improve your reputation with factions, advance in perk trees, etc by completing various quests, looting chests, or fulfilling specific objectives which unlock new bits of story and can grant perks like buying slightly better gear from vendors ▪️"The world Bungie has built is every bit as beautiful as it is creepy and dystopian, and there are moments where they satisfyingly hint at the events of the Marathon trilogy from the ‘90s", though "what little I saw did only slightly more than pay lip service to the world" ▪️Uses the seasonal reset model like in Diablo 4, where players are stripped of their loot and progress at the end of each season to mix things up with new content and new meta ▪️Game is designed to get you killed, Bungie expects average exfiltration rates to be comfortably below 50% ▪️"You will lose a lot, and losing hurts a lot[...]Extracts are snapshots of this unpredictability. That white-knuckle countdown may become a gut-punch defeat, an unforgettable clutch, a desperate last-second dive into the portal as your downed allies watch in envy and horror (couldn't be me), or an unnerving anticlimax. It's not always a pleasant one, but it is a strong emotional hook" ▪️Some previewers worried about variety, weren't impressed with the objectives in the alpha, like hunting computer monitors on the map, sprinting over, marking dropships, sprinting over, and repeating, though random events help spice things up ▪️Not a 20-map game says Bungie, map design "does have that sticky battle royale quality of generating memories", though still worried 3-4 medium sized maps might not be enough ▪️Bungie's "verbiage" on updates sounds like possibly 1 new map a year + refreshing existing ones in between, which could work in its favor pushing players to really learn maps, but will they hold up over hundreds of hours? ▪️Fights are decided by gun skill, clever ability use, map awareness, how strong your shield is, how many healing supplies you have, etc ▪️Example: If you have one bar of shield and enemy has four, you'll lose 1v1, but change it up with powerful grenades, status effects like toxic or overheat, backpacks are "transformative", etc Gameplay Trailer ▶️ Gameplay Overview ▶️ PS Blog ➡️ IGN ➡️ GamesRadar ➡️ ▶️
2:58

Marathon | Ultimate Overview, Gameplay, Hands-On Impressions ▪️Team based extraction shooter set on Tau Ceti IV, scavenge remains of a lost colony for glory and fortune ▪️Launch: Coming to PS5, Xbox and PC on September 23 ▪️Will be a "premium" product, meaning not F2P ▪️"Weapons and movement feels crisp, fluid, and incredibly satisfying in that rarified way that few studios can achieve" ▪️3 maps, 6 runner classes at launch, more to follow post-launch ▪️Plans to support the game with new maps, weapons, characters, and more as it goes on ▪️Ranked play, end game challenges, seasonal storytelling, secrets to discover, community events all in Season One with more content coming ▪️You play as a "runner", cybernetic mercenary who's given up their human form for a bio-synthetic shell with unique abilities and stats ▪️Runner Types: "Locus" is a soldier class for pushing forward, can use a shield, "Void" is stealth, sneak by undetected, use smoke grenades, "Blackbird" is reconnaissance based, find players, positioning, and more ▪️Uncover secrets hidden in the wake of the original Marathon trilogy's events - how and where this overlaps or clashes with the original games "is a story that will unfold over time" ▪️Objective is to get in, get as much loot as you can, and get out alive ▪️If you die, your gear and loot will be up for grabs. Survive and you can take your gear with you on future runs as you grow in power and fill your vault ▪️Fight in a crew of up to 3 players, various map sizes up to 18 players ▪️PvP + PvE, battle other players, security forces, and "otherworldly threats" ▪️Contextual pings, shared objectives, down-but-not-out mechanics ▪️Environments are filled with weapons, materials, items, resources, cores, keys, backpacks, secrets etc to find You can find things like backpacks that expand your inventory, powerful and unique weapons, consumables to heal yourself, ▪️Select your runner, strategically build your loadouts pre-match ▪️Factions in the game can sponsor you and your loadout ▪️You have the freedom to opt out of crew fill and take all the glory for yourself as a solo runner ▪️"This is probably the best-looking, best-feeling extraction shooter ever made", not easy for newcomers to the genre, can be tough to get into, but one previewer was "reluctant to put Marathon down. This is a good sign – the best thing I can say after any preview is that I want more – but big questions remain" ▪️No two matches ever play out the same, dynamic events, variable weather, unpredictable players etc ▪️Customization: Each Runner "brings their own flair", but serve as foundations to customize your playstyle - collect implants and equipment to augment your Runner, like stacking implants/upgrades to reduce heat build-up to allow you to keep running, jumping, sliding longer ▪️Contracts: "Ingenious" incentives, finish contracts you accept for permanent upgrades to your stats, add precious items like grenades, shields, inventory-expanding backpacks, etc to your market. The bigger your market, the better your minimum loadout becomes ▪️Contracts provide "valuable direction", bring welcome diversity and add a "precious hit of semi-permanent progression" ▪️Prestige Cores: Rare items that can "really push the boundaries" (ex: Glitch has an upgrade that turns double jump into triple jump for more manueverability) ▪️Another rare item is a backpack that turns you invisible while interacting with containers (very useful when everyone on the map is hunting you) ▪️Each match "feels like the most important one ever", high stakes, "surprisingly challenging AI enemies" that were "much, much better at surrounding and overwhelming players than the vast majority of AI enemies found in other games" ▪️Having a balanced crew helps in exploring the "dark and forgotten places" in maps - filled with deadly creatures like a species of giant ticks who swarm you frantically ▪️Battles can become frantic as you encounter other crews, stalk them across the map, encounter AI enemies to fend off when others come to claim your loot (one preview battle turned into a 9 player free-for-all) ▪️Downside could be the reward system where skilled players enter fresh matches with high level gear that outmatches less skilled players, though Bungie says it has gone out of its way to try and make it where a poorly equipped squad can still stand a chance if they play well ▪️Even if you die, you can can still get upgrades, improve your reputation with factions, advance in perk trees, etc by completing various quests, looting chests, or fulfilling specific objectives which unlock new bits of story and can grant perks like buying slightly better gear from vendors ▪️"The world Bungie has built is every bit as beautiful as it is creepy and dystopian, and there are moments where they satisfyingly hint at the events of the Marathon trilogy from the ‘90s", though "what little I saw did only slightly more than pay lip service to the world" ▪️Uses the seasonal reset model like in Diablo 4, where players are stripped of their loot and progress at the end of each season to mix things up with new content and new meta ▪️Game is designed to get you killed, Bungie expects average exfiltration rates to be comfortably below 50% ▪️"You will lose a lot, and losing hurts a lot[...]Extracts are snapshots of this unpredictability. That white-knuckle countdown may become a gut-punch defeat, an unforgettable clutch, a desperate last-second dive into the portal as your downed allies watch in envy and horror (couldn't be me), or an unnerving anticlimax. It's not always a pleasant one, but it is a strong emotional hook" ▪️Some previewers worried about variety, weren't impressed with the objectives in the alpha, like hunting computer monitors on the map, sprinting over, marking dropships, sprinting over, and repeating, though random events help spice things up ▪️Not a 20-map game says Bungie, map design "does have that sticky battle royale quality of generating memories", though still worried 3-4 medium sized maps might not be enough ▪️Bungie's "verbiage" on updates sounds like possibly 1 new map a year + refreshing existing ones in between, which could work in its favor pushing players to really learn maps, but will they hold up over hundreds of hours? ▪️Fights are decided by gun skill, clever ability use, map awareness, how strong your shield is, how many healing supplies you have, etc ▪️Example: If you have one bar of shield and enemy has four, you'll lose 1v1, but change it up with powerful grenades, status effects like toxic or overheat, backpacks are "transformative", etc Gameplay Trailer ▶️ Gameplay Overview ▶️ PS Blog ➡️ IGN ➡️ GamesRadar ➡️ ▶️

Shinobi602

181,424 Aufrufe • vor 1 Jahr

Agents: Quick thoughts & questions on how they operate, their potential, and their limitations A Few Observations - ▶️"Book me a hotel" or "pull historical financials" are already (mostly) solved problems!! Agents can do a ton of tasks right now—like parsing public company press releases and navigating capture key info & complete bookings accurately. However, for more complex navigation flows, the tech still needs some work - but I'm very confident it’s essentially a solved or solvable challenge. ▶️Accuracy & Speed - The key metrics and agents should optimize for. ▶️Lower Build & Migration Costs It took me two minutes to build a new website (link: This is great for consumers—more choices, lower switching costs. Companies will increasingly compete on the quality of their products and services. ▶️Agents vs. Automation tools: The more I think about it, the more I realize that most “agents” are really just automation tools—kind of like how most robots🤖 are just machines lol ❓A Few Key Questions—Would Love Your Thoughts! ❔Remote Servers & Logins In many cases, we’ll want agents to act on our behalf (e.g., log in to to cancel an order). How will platforms like respond? Many websites may block remote servers for security. Is there a technical workaround? ❔Agent Generalization Do we need to train agents on each environment separately, or can one solution handle multiple sites and systems? This seems similar to RL/post-training challenges in AI research. Example: It's unclear to me whether $Devin was specifically trained on environment? ❔Frontend vs. Backend infra for agents to run on I had doubts about Anthropic's "Computer Use" feature, which seemed to run on the frontend, basically remotely controlling my computer so I couldn’t use it at the same time. This should deliver the highest accuracy, but it’s questionable how practical it really is. (Ref: It seems def possible for agents to work quietly “in the background” (like Devin) rather than remotely controlling a user’s PC, but how much accuracy are we sacrificing? A few $Devin test cases that got me thinking: 1⃣Pulling $META's MAU and DAU (1Q21–3Q24) into Excel (video attached) Took Devin 11min - it sent me back an Excel with 100% accurate data. This case was pretty tricky because $Meta changed disclosures and stopped reporting MAU/DAU after 4Q23. Devin didn’t hallucinate data for post-4Q23—it simply didn’t provide it! It really shocked me to see $Devin navigating $Meta's investor relations site (I didn't tell it to find the numbers there), opening each quarterly earnings report, and extracting MAU/DAU like a diligent intern. -> This confirms $Devin (and similar agents) can already accurately “read” screens. 2⃣Booking Hotel (video attached) Devin took 5 minutes to book the InterContinental NYC on after asking for my credentials. From $Devin's workspace, I could see it filling in the correct fields and making the right selections—fast and accurate overall. Interestingly, $Devin didn’t supply all the required information on the first attempt and got some error messages, then retried until it succeeded. It’s unclear whether Devin had been specifically trained on interface or simply learned to adapt on the fly. 3⃣Canceling the Booking This part was even more interesting. While booking didn’t require me to log in, canceling did—so $Devin had to access my (likely via a remote server) account using my Gmail credentials. It successfully canceled the reservation. I wonder how websites will handle future “remote” logins. Notably, Google blocked $Devin’s direct attempts to log in to Gmail when I specifically requested it. 4⃣Booking from Official Hotel Sites I asked Devin to book InterContinental NYC and Four Seasons Boston via their official websites. It made progress but encountered technical hiccups when trying to select the check-in/check-out dates. Insights from Scott Wu on Invest Like the Best: 1/ Self-Driving Cars as the First “Real Agents” Driving requires near-perfect accuracy (99.999%), making it much more demanding than digital or coding agents, which can tolerate more errors. Scott compares $Devin to circa 2014—already good enough to save 90% of your effort, but still short of flawless. 2/ Impact on Collaboration Platforms Tools like Slack and GitLab are likely to see major changes as agents begin to interact with and utilize them along with humans. 2025 should be all about agents - both the disruptors and those they disrupt!
0:25

Agents: Quick thoughts & questions on how they operate, their potential, and their limitations A Few Observations - ▶️"Book me a hotel" or "pull historical financials" are already (mostly) solved problems!! Agents can do a ton of tasks right now—like parsing public company press releases and navigating capture key info & complete bookings accurately. However, for more complex navigation flows, the tech still needs some work - but I'm very confident it’s essentially a solved or solvable challenge. ▶️Accuracy & Speed - The key metrics and agents should optimize for. ▶️Lower Build & Migration Costs It took me two minutes to build a new website (link: This is great for consumers—more choices, lower switching costs. Companies will increasingly compete on the quality of their products and services. ▶️Agents vs. Automation tools: The more I think about it, the more I realize that most “agents” are really just automation tools—kind of like how most robots🤖 are just machines lol ❓A Few Key Questions—Would Love Your Thoughts! ❔Remote Servers & Logins In many cases, we’ll want agents to act on our behalf (e.g., log in to to cancel an order). How will platforms like respond? Many websites may block remote servers for security. Is there a technical workaround? ❔Agent Generalization Do we need to train agents on each environment separately, or can one solution handle multiple sites and systems? This seems similar to RL/post-training challenges in AI research. Example: It's unclear to me whether $Devin was specifically trained on environment? ❔Frontend vs. Backend infra for agents to run on I had doubts about Anthropic's "Computer Use" feature, which seemed to run on the frontend, basically remotely controlling my computer so I couldn’t use it at the same time. This should deliver the highest accuracy, but it’s questionable how practical it really is. (Ref: It seems def possible for agents to work quietly “in the background” (like Devin) rather than remotely controlling a user’s PC, but how much accuracy are we sacrificing? A few $Devin test cases that got me thinking: 1⃣Pulling $META's MAU and DAU (1Q21–3Q24) into Excel (video attached) Took Devin 11min - it sent me back an Excel with 100% accurate data. This case was pretty tricky because $Meta changed disclosures and stopped reporting MAU/DAU after 4Q23. Devin didn’t hallucinate data for post-4Q23—it simply didn’t provide it! It really shocked me to see $Devin navigating $Meta's investor relations site (I didn't tell it to find the numbers there), opening each quarterly earnings report, and extracting MAU/DAU like a diligent intern. -> This confirms $Devin (and similar agents) can already accurately “read” screens. 2⃣Booking Hotel (video attached) Devin took 5 minutes to book the InterContinental NYC on after asking for my credentials. From $Devin's workspace, I could see it filling in the correct fields and making the right selections—fast and accurate overall. Interestingly, $Devin didn’t supply all the required information on the first attempt and got some error messages, then retried until it succeeded. It’s unclear whether Devin had been specifically trained on interface or simply learned to adapt on the fly. 3⃣Canceling the Booking This part was even more interesting. While booking didn’t require me to log in, canceling did—so $Devin had to access my (likely via a remote server) account using my Gmail credentials. It successfully canceled the reservation. I wonder how websites will handle future “remote” logins. Notably, Google blocked $Devin’s direct attempts to log in to Gmail when I specifically requested it. 4⃣Booking from Official Hotel Sites I asked Devin to book InterContinental NYC and Four Seasons Boston via their official websites. It made progress but encountered technical hiccups when trying to select the check-in/check-out dates. Insights from Scott Wu on Invest Like the Best: 1/ Self-Driving Cars as the First “Real Agents” Driving requires near-perfect accuracy (99.999%), making it much more demanding than digital or coding agents, which can tolerate more errors. Scott compares $Devin to circa 2014—already good enough to save 90% of your effort, but still short of flawless. 2/ Impact on Collaboration Platforms Tools like Slack and GitLab are likely to see major changes as agents begin to interact with and utilize them along with humans. 2025 should be all about agents - both the disruptors and those they disrupt!

Freda Duan

48,850 Aufrufe • vor 1 Jahr

My feed has been inundated with posts of Grok 3 making basic arcade games. But llms from years ago could make decent arcade games, not news. So I ran a one-shot test to determine how well it fared again other frontier models in creating a 3D game with room for it to come up with gameplay and aesthetics. I tested Grok 3, O1, Sonnet 3,5, Llama4, DeepSeek, and Gemini using the following prompt. Make Dune x Minecraft 🏜️ Imagine a sandbox survival game set on a desert planet. Players mine ‘spice’ and must build defenses against roaming sandworms. Design the main gameplay loop, crafting system, and survival challenges in one complete description. ✏️tldr O1, Grok 3, and Sonnet 3.5 were the most impressive. Aesthetically, Grok nailed the best vibes (it even produced a surprisingly cool-looking spice mining truck), but the game lacked functionality. O1 took the top spot imo with a functional and visually appealing experience, and Sonnet 3.5 followed closely. This is obviously just one test, but you can see the generated code and games in the thread (and even try forking them on Rosebud). Longer summary: OpenAI O1: Best vibes to function balance. Looked good, working controls, I could mine spice. xAI #Grok3: Excelled at generating vibes for dune. I especially liked the Dune-inspired spice mining car—though it wasn’t entirely a complete game. I could move around, but none of the crafting mechanics worked. Anthropic Sonnet3.5: produced something in space that had dune vibes. More functional than Grok because I could mine spice. However vibes were worse than the first two. DeepSeek : Managed to generate code that worked, but the game was so hard it always ended seconds after it started, and despite requests for better visuals, it looked VERY ugly. Google DeepMind Gemini 2.0 flash and AI at Meta LLaMA: Sadly landed at the bottom of the list; after multiple prompts (this was supposed to be one shot and none of the others failed in the first shot), I couldn’t get them to produce working code for this prompt. All of these were tested on Rosebud AI . An obvious limitation with these frontier models in their chat interfaces is that you can only get them to regenerate code from scratch each time you prompt them, making it tough to refine or extend a single project. Rosebud, on the other hand, lets you iterate on one project (we do diffs), deploy with one click, share your project, and even allow others to remix it. This was just a single test, so it’s obviously not scientific. I wanted to create it to see how these frontier models handle more complex game prompts—rather than retrying the same arcade games that earlier generations of LLMs have already mastered.
0:31

My feed has been inundated with posts of Grok 3 making basic arcade games. But llms from years ago could make decent arcade games, not news. So I ran a one-shot test to determine how well it fared again other frontier models in creating a 3D game with room for it to come up with gameplay and aesthetics. I tested Grok 3, O1, Sonnet 3,5, Llama4, DeepSeek, and Gemini using the following prompt. Make Dune x Minecraft 🏜️ Imagine a sandbox survival game set on a desert planet. Players mine ‘spice’ and must build defenses against roaming sandworms. Design the main gameplay loop, crafting system, and survival challenges in one complete description. ✏️tldr O1, Grok 3, and Sonnet 3.5 were the most impressive. Aesthetically, Grok nailed the best vibes (it even produced a surprisingly cool-looking spice mining truck), but the game lacked functionality. O1 took the top spot imo with a functional and visually appealing experience, and Sonnet 3.5 followed closely. This is obviously just one test, but you can see the generated code and games in the thread (and even try forking them on Rosebud). Longer summary: OpenAI O1: Best vibes to function balance. Looked good, working controls, I could mine spice. xAI #Grok3: Excelled at generating vibes for dune. I especially liked the Dune-inspired spice mining car—though it wasn’t entirely a complete game. I could move around, but none of the crafting mechanics worked. Anthropic Sonnet3.5: produced something in space that had dune vibes. More functional than Grok because I could mine spice. However vibes were worse than the first two. DeepSeek : Managed to generate code that worked, but the game was so hard it always ended seconds after it started, and despite requests for better visuals, it looked VERY ugly. Google DeepMind Gemini 2.0 flash and AI at Meta LLaMA: Sadly landed at the bottom of the list; after multiple prompts (this was supposed to be one shot and none of the others failed in the first shot), I couldn’t get them to produce working code for this prompt. All of these were tested on Rosebud AI . An obvious limitation with these frontier models in their chat interfaces is that you can only get them to regenerate code from scratch each time you prompt them, making it tough to refine or extend a single project. Rosebud, on the other hand, lets you iterate on one project (we do diffs), deploy with one click, share your project, and even allow others to remix it. This was just a single test, so it’s obviously not scientific. I wanted to create it to see how these frontier models handle more complex game prompts—rather than retrying the same arcade games that earlier generations of LLMs have already mastered.

Lisha

476,022 Aufrufe • vor 1 Jahr

Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.
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Made $530,000 with Ai Bot that started with $313. Didn't know how to code. Now this bots run 24/7 printing money while sleeping. I've made the exact step-by-step guide to build this Claude Code Polymarket trading bot. Prompts. Code. Risk settings. Paper trading checklist. Everything from zero to running bot. It's free. For 24 hours. After that I'm charging $499 for it. To grab it right now: 1. Comment "Claude Bot" 2. Like and Retweet this post 3. Follow me Himanshu Kumar ( I can't send DMs to non-followers ) I'm DMing everyone who Complete the 3 steps. I spent hundreds of thousands hiring developers because he was too scared to learn. Then learned Claude Code. Built algorithmic trading systems. $313 → $530,000. You have the same tools available right now. And you're using them to ask ChatGPT for Instagram captions. This attached video is a goldmine. Full live walkthrough. Claude Code building actual Polymarket trading bots. From zero. Every line of code. Every decision explained. Now let me break down why everything you're doing in trading is wrong and exactly how to fix it. Save this post. You'll hate yourself if you lose it. ↓ Let's start with why you keep losing money. You already know the answer. You just won't admit it. You overtrade. Every. Single. Day. You see a candle move. You feel something. You enter. No plan. No edge. No reason. Just feelings. Then it goes against you. You feel something else. Panic. Anger. Denial. You move your stop loss. Or you didn't set one at all. "It'll come back." It doesn't come back. So you take another trade. A revenge trade. Bigger size this time. Because you need to "make it back." That one fails too. Now you're emotional. Now you're tilted. Now you're using leverage you have no business touching. 40x. 50x. 100x. On a trade you entered because a candle looked "bullish" and some guy on Twitter said "send it." You get liquidated. Close the laptop. Punch something. Tell yourself you'll be "more disciplined" tomorrow. Tomorrow comes. Same cycle. Same result. Same liquidation. You've been doing this for months. Maybe years. And you still think the problem is your strategy. The problem isn't your strategy. The problem is you. Save this post right now. What I'm about to show you is the only way to remove yourself from the equation. Follow Himanshu Kumar so you don't miss any of this. ↓ Here's what's actually killing your account. It's not the market. The market doesn't care about you. It's not your indicators. RSI works fine. MACD works fine. They all "work." It's not your timeframe. It's not your broker. It's not the "manipulation." It's four things: 1. Emotions. You hold losers because hope feels better than loss. You cut winners because fear feels stronger than greed. You size up when angry. You skip trades when scared. Your emotional state determines your position size. That's insane. And you know it's insane. But you keep doing it. 2. Overtrading. You take 15 trades a day. Maybe 5 of them had actual setups. The other 10 were boredom. Boredom trades are the most expensive hobby in human history. 3. Leverage. You use 20x-50x on trades where you're not even sure about the direction. That's not trading. That's a casino with a nicer interface. 4. Fees. You're smashing market orders. Paying spread. Paying commission. On 15 trades a day. Your broker makes more money from your account than you do. Think about that. Your broker is profitable on your account. You're not. You're the product. Not the trader. These four things are why 90% of traders lose. Not bad luck. Not the market. You. Save this post and follow Himanshu Kumar because the solution is coming next. ↓ The solution is painfully obvious. Remove yourself from the equation. Not partially. Not "I'll be more disciplined." Not "I'll journal my trades." Not "I'll meditate before trading." Completely remove yourself. Build a bot. Let the bot trade. You go live your life. The bot doesn't feel emotions. The bot doesn't overtrade. The bot doesn't use reckless leverage. The bot doesn't smash market orders and bleed fees. The bot follows the rules. Every single time. Without exception. Without "just this once." Without "I have a feeling about this one." Rules in. Execution out. No human in the middle to mess everything up. That's algorithmic trading. And before your ego jumps in with "but I'm different, I have discipline" — No you don't. Your account balance proves you don't. If you had discipline, your account would be green. It's not. So you don't. Accept it. Automate it. Move on. This is the hardest truth in trading. Your discipline will always fail. A bot's won't. Save this post. Follow Himanshu Kumar for the exact bot setup that removes your emotions permanently. ↓ "But I don't know how to code." Neither did he. The guy in this video didn't know how to code for most of his life. Got held back in 7th grade. People counted him out early. Spent years building apps and SaaS businesses without writing a single line of code. Hired developers on Upwork instead. Spent hundreds of thousands of dollars paying other people to build what he could have built himself. Because he was scared to learn. That fear cost him years. And hundreds of thousands of dollars. Sound familiar? You're doing the same thing right now. Not with developers. But with your time. You're spending thousands of hours trading manually because you're scared to learn the thing that would make trading automatic. The fear of learning to code is costing you more than any bad trade ever did. Because every month you trade manually is a month of emotional decisions, overleveraged entries, and unnecessary losses that a bot would never make. And here's the thing that should really frustrate you: AI does the hard parts now. You don't need a computer science degree. You don't need to work at a hedge fund. You don't need to be "good at math." Claude Code writes the code for you. You just need to think clearly about trading ideas. That's it. If you can describe a strategy in English, Claude can build it in Python. "I don't know how to code" stopped being a valid excuse in 2024. It's 2026. You're 2 years late on that excuse. Find a new one. Or stop making excuses entirely. Save this post. Follow Himanshu Kumar because I'm showing you how people with zero coding experience are building profitable bots. ↓ The process that actually makes money. Three letters. R. B. I. Research. Backtest. Implement. That's it. That's the entire process. Every single day. Research: Find an idea. A pattern. A market inefficiency. Don't trade it yet. Don't even think about trading it yet. Just research it. Backtest: Test the idea against historical data. Does it work? Not "does it look good on one chart." Does it work across thousands of trades? Across different market conditions? Across in-sample AND out-of-sample data? If no, kill it. Find another idea. If yes, move to step 3. Implement: Build the bot. Deploy it. Paper trade first. Then live with small size. Scale only on evidence. Research. Backtest. Implement. Every day. No exceptions. You know what your current process is? Feel. Enter. Pray. F. E. P. Feel bullish. Enter a trade. Pray it works. That's not a process. That's gambling with a TradingView subscription. RBI is the only process that works. Save this post. Tattoo it on your forearm. Follow Himanshu Kumar for daily RBI breakdowns. ↓ What Claude Code actually does that your manual process can't. You can maybe test 3-5 strategy ideas per week. Manually adjusting parameters. Manually checking results. Manually writing code (badly). Claude Code tests 50-100 ideas per week. With parallel agents running simultaneously. Multiple strategies being built, tested, and validated at the same time. While you sleep. The guy in this video spends 4-8 hours a day building systems with Claude Code. Not trading. Building. Research. Backtest. Implement. Then iterate. Improve. Optimize. Every day the systems get better. Every day the edge compounds. Every day the bots get smarter. While you? You spend 4-8 hours a day staring at charts making the same mistakes you made last month. Same indicators. Same patterns. Same entries. Same losses. He's iterating forward. You're running in circles. Same 8 hours per day. Completely different outcomes. Because he's building systems. And you're feeding a casino. Stop feeding the casino. Start building the machine. Save this post and follow Himanshu Kumar for the Claude Code workflow that iterates strategies while you sleep. ↓ Jim Simons. That's the benchmark. You probably don't know who Jim Simons is. And that tells me everything about how seriously you take trading. Jim Simons. Mathematician. Founded Renaissance Technologies. Built a net worth of $31 billion. 100% from algorithmic trading. Not one single manual trade. Not one "gut feeling" entry. Not one RSI divergence. Not one "smart money concept." Algorithms. Bots. Systems. Data. $31 billion. His fund averaged 66% annual returns for over 30 years. While you're excited about making $200 on a trade that you'll give back tomorrow. The best trader in human history never placed a manual trade in his life. And you think your edge is staring at a 5-minute chart with bloodshot eyes at 2 AM? Your edge is building the system. Not being inside it. Jim Simons is the benchmark. Everything else is noise. Save this post. Follow Himanshu Kumar because I'm building toward the same goal and showing every step publicly. ↓ What you need to understand about patience. This is not get-rich-overnight. The guy in this video says it directly: "This channel is not for people looking to get rich overnight. It's not plug and play. There are no shortcuts. If you're impatient, this probably isn't for you." And that's exactly why most people will fail at this. Because you want results now. Today. This trade. You don't want to spend a week building a bot. You don't want to paper trade for 2 weeks. You don't want to test 50 ideas to find 1 that works. You want to copy someone's bot, run it live with your rent money, and be rich by Friday. That's why you'll be broke by Friday. The guy making $2.3M spent months iterating. Testing. Failing. Rebuilding. Testing again. He was patient when you would have quit. He was calm when you would have panicked. He was consistent when you would have given up. Patience isn't just a virtue in trading. It's the only virtue. Without it, everything else fails. Impatience is the most expensive personality trait in trading. Save this post. Follow Himanshu Kumar and learn to build systems with the patience that actually pays. ↓ The live streams where the real learning happens. The YouTube video is the trailer. The live streams are the movie. Real-time bot building. Real-time questions answered. Real code shown. Real mistakes made and fixed. Not polished highlight reels where everything works perfectly. Actual development. Where things break. Where strategies fail. Where code doesn't compile. Where the fix takes 2 hours. Because that's what real development looks like. And seeing the messy parts is more valuable than any polished tutorial. Because when your bot breaks at 3 AM, you need to know how to fix it. Not just how to celebrate when it works. The streams mix beginner and advanced. Start with how to automate trading. How to use AI for code generation. Then dive into the daily work. Claude Code. Parallel agents. Constant iteration. Live debugging. 4-8 hours of real algorithmic trading development. Live. Uncut. No filter. Most "trading education" shows you the wins. This shows you the work. Save this post. Follow Himanshu Kumar for the stream schedules and breakdowns. ↓ The belief that changes everything. Code is the greatest equalizer. Not money. Not connections. Not a degree. Not where you grew up. Not what school you went to. Code. Once you can build systems, you can build anything. For the rest of your life. A trading bot today. A SaaS product tomorrow. An automation business next month. A completely different life next year. The skill isn't "algorithmic trading." The skill is building systems. And that skill transfers to everything. The guy who can build a trading bot can also build a lead gen tool. Can also build a content pipeline. Can also build a SaaS product. Can also build literally anything that runs on logic and code. One skill. Infinite applications. And AI makes learning it 100x easier than it was 5 years ago. You don't need to be smart. You don't need talent. You need Claude Code and the willingness to sit down and build something instead of consuming content about building something. Building is the skill. Everything else is entertainment disguised as education. Save this post. Follow Himanshu Kumar because I'm showing you how to build, not just how to watch. ↓ If any of this applies to you, pay attention. If you've lost money from overtrading. If you've been liquidated. If you know trading is the vehicle but manual execution keeps crashing you. If you've tried "being more disciplined" and it never lasted more than a week. If you keep saying "next month I'll start automating." If you've spent more money on courses than you've made from trading. There is a better way. It's not a magic indicator. It's not a signal group. It's not a $997 mentorship from a guy who makes money teaching, not trading. It's building your own system. A system that trades without emotion. A system that follows rules without exception. A system that runs while you sleep. A system that compounds while you live your life. That's the answer. It's always been the answer. You've just been too scared to accept that the solution requires building something instead of buying something. ↓ What the next 30 days look like if you actually commit. Week 1: Watch the video. Learn Claude Code basics. Build your first simple strategy. Run your first backtest. Week 2: Iterate. Let Claude improve the strategy. Run Monte Carlo validation. Paper trade. Week 3: Go live with $50-100. Tiny positions. Watch every trade. Compare to paper results. Week 4: Scale based on evidence. Not based on excitement. Not based on one good day. Based on data. 30 days from now you either have a running bot that trades without your emotions destroying every position. Or you're exactly where you are right now. Reading another post. Making another promise. Breaking it by Tuesday. Same 30 days either way. Different actions. Different results. Different life. ↓ Full video tutorial attached. Live bot building with Claude Code. From zero to running Polymarket trading bot. Every line of code. Every decision explained. The video is free. Claude Code is available now. The market is open 24/7. The only thing standing between you and a profitable trading bot is the same thing that's been standing there for months. You. Get out of your own way. Follow Himanshu Kumar for daily AI trading bot breakdowns, live build sessions, and the full RBI process. Save this post. Watch the video. Build the bot. Or keep trading manually and keep losing. The choice has never been easier. And you've never been more stubborn about making the wrong one.

Himanshu Kumar

37,548 Aufrufe • vor 4 Monaten

I've built a multiplayer survival game for the browser in 30 days and I didnt write a single line of code 🤯 So I'd like to write my notes about it once the deadline is done now. The last 20% of a project is indeed the hardest part of it all. In the last 2 days i've been working on the final version of Hollowlands for @levelsio's 2026 #vibejam I worked a lot! I fixed a lot of bugs, tested a lot playing with my wife. Fixed more bugs... But now, thank God, I have the final result! The game looks good, yes. I've spent half of the jam just tweaking every single detail of the procedural world generation. And It was worth it! The game still runs well on most devices and still has less than 20MB in size. Which is pretty impressive to me. The process of building was very straighforward: 1. I used Three.js + React to create the game. Before I started I created a huge document defining every rule i'd like the codebase to be implemented upon. It had clean code rules, archtecture decisions, ECS principles (good for games), and so on. This helped a lot constrain the AI to maintain the code maintainable and separated into clear domains (systems). This document was made partially by me given my previous experience building web games (I've made a lot of mistakes in the past and made sure they will not repeat again) and partially AI suggesting best practices. 2. For every feature I prompted the AI, I was very specific on details that I'd like implemented. If I knew what I was doing, I was more specific on the "how" I wanted to be done. If I didnt know what was doing I first asked the AI to brainstorm possibilities with me, based on industry standards, pros and cons, and so on. Then I would decide what path to go. 3. Every single feature I used Leva for tweaking the values. So for example, the size of the trees, colors, distance between objects, animation speed, etc. Everything I have a slider that I can adjust. 4. To make the game look good I used Tripo to create the models. To be honest it's not 100% perfect. If you check the character in game you can notice a few issues here and there (the arms lol), but I believe that it will keep getting better over time. 1 Year ago I tried and it wasnt even close to what it's now. Then I used a few post-processing + shaders + particles techniques to bring the "wow" factor. 5. I did only 1 feature at a time. And every change it was a commit with a clear message of what was done. This helped the AI fetch previous commit to understand what changed and know exactly what happened in the past. If I opened multiple terminals at once and blasted prompts the code and commit history would be a mess in a few days. And for every change the AI did, I asked it to do a Code Review of everything that was changed and look for violations on the document I wrote in the beggining defining the codebase guidelines. I realized that I pretty much applied software engineer principles using AI: Code, review and merge, code, review and merge... 6. On the last week I implemented the multiplayer using Colyseus ⚔️ which was pretty nice. I used AI to fetch the whole documentation and create a skill.md file that helped a lot. The creator of the framework Endel also did a extensive research on how real multiplayer games are implemented. It's open source and it was a gold mine for the AI to come up with the implementation for my game. You can ask him the link :) And that was it I think. I'm extremely tired now. The last 2 days was insane. The game's final version is not what I had in mind in the beginning of the jam. I had to cut a lot of cool features. But given the 30 days deadline I think it was a huge success. Hands down my best game ever made. Now I'll take a few days to rest and come back with more updates on the game. Maybe it can become a big deal in the future with more updates. Who knows. And in the event I win first place in this game jam, I'll use the money to fund my own game studio + cover the expenses of my child that is going to be born in September :) Cheers guys! If you have any question, feel free to reach out. I'll answer every non-bot comment in here haha Note: The link to play is in my profile
1:06

I've built a multiplayer survival game for the browser in 30 days and I didnt write a single line of code 🤯 So I'd like to write my notes about it once the deadline is done now. The last 20% of a project is indeed the hardest part of it all. In the last 2 days i've been working on the final version of Hollowlands for @levelsio's 2026 #vibejam I worked a lot! I fixed a lot of bugs, tested a lot playing with my wife. Fixed more bugs... But now, thank God, I have the final result! The game looks good, yes. I've spent half of the jam just tweaking every single detail of the procedural world generation. And It was worth it! The game still runs well on most devices and still has less than 20MB in size. Which is pretty impressive to me. The process of building was very straighforward: 1. I used Three.js + React to create the game. Before I started I created a huge document defining every rule i'd like the codebase to be implemented upon. It had clean code rules, archtecture decisions, ECS principles (good for games), and so on. This helped a lot constrain the AI to maintain the code maintainable and separated into clear domains (systems). This document was made partially by me given my previous experience building web games (I've made a lot of mistakes in the past and made sure they will not repeat again) and partially AI suggesting best practices. 2. For every feature I prompted the AI, I was very specific on details that I'd like implemented. If I knew what I was doing, I was more specific on the "how" I wanted to be done. If I didnt know what was doing I first asked the AI to brainstorm possibilities with me, based on industry standards, pros and cons, and so on. Then I would decide what path to go. 3. Every single feature I used Leva for tweaking the values. So for example, the size of the trees, colors, distance between objects, animation speed, etc. Everything I have a slider that I can adjust. 4. To make the game look good I used Tripo to create the models. To be honest it's not 100% perfect. If you check the character in game you can notice a few issues here and there (the arms lol), but I believe that it will keep getting better over time. 1 Year ago I tried and it wasnt even close to what it's now. Then I used a few post-processing + shaders + particles techniques to bring the "wow" factor. 5. I did only 1 feature at a time. And every change it was a commit with a clear message of what was done. This helped the AI fetch previous commit to understand what changed and know exactly what happened in the past. If I opened multiple terminals at once and blasted prompts the code and commit history would be a mess in a few days. And for every change the AI did, I asked it to do a Code Review of everything that was changed and look for violations on the document I wrote in the beggining defining the codebase guidelines. I realized that I pretty much applied software engineer principles using AI: Code, review and merge, code, review and merge... 6. On the last week I implemented the multiplayer using Colyseus ⚔️ which was pretty nice. I used AI to fetch the whole documentation and create a skill.md file that helped a lot. The creator of the framework Endel also did a extensive research on how real multiplayer games are implemented. It's open source and it was a gold mine for the AI to come up with the implementation for my game. You can ask him the link :) And that was it I think. I'm extremely tired now. The last 2 days was insane. The game's final version is not what I had in mind in the beginning of the jam. I had to cut a lot of cool features. But given the 30 days deadline I think it was a huge success. Hands down my best game ever made. Now I'll take a few days to rest and come back with more updates on the game. Maybe it can become a big deal in the future with more updates. Who knows. And in the event I win first place in this game jam, I'll use the money to fund my own game studio + cover the expenses of my child that is going to be born in September :) Cheers guys! If you have any question, feel free to reach out. I'll answer every non-bot comment in here haha Note: The link to play is in my profile

André → andreelias.dev

17,950 Aufrufe • vor 3 Monaten

🚨WARNING: UTAH’S DEMOCRATIC PARTY IS NOW THE SOMALI TAKEOVER MACHINE SON OF SOMALI IMMIGRANTS LIBAN MOHAMED - CANDIDATE FOR U.S. CONGRESS IN UTAH’S 1ST DISTRICT - BRAGS: “JOIN THE 50 REFUGEES WE GOT ELECTED AS DELEGATES.” As I warned after Omar Fateh and Ilhan Omar’s endorsement… 27-year-old Somali Muslim Liban Mohamed, son of Somali immigrants from the very community openly bragging about “taking over slowly”, just pulled off a stunning upset at the Utah Democratic Party state convention on Saturday. In a crowded field, he won the endorsement of a majority of Democratic delegates after multiple rounds of ranked-choice voting, beating former U.S. Congressman Ben McAdams (51% to 49%). This is the grassroots radical base speaking loud and clear. 🚨And in his victory video he openly bragged: “I’m asking each and every one of you to join us - join the 50 refugees that we got elected as delegates… It’s time for us to lead. On June 23, we are going to win. Let’s go!” Fifty refugees. Hand-picked. Elected as delegates. Now controlling the Utah Democratic Party apparatus in the new 1st Congressional District. Utah, this is exactly what Obama and Eric Holder’s redistricting machine was designed to do. They couldn’t flip your red state at the ballot box… so they sued, activist judges tossed the GOP map, and packed the brand-new 1st Congressional District with liberal Salt Lake County, instantly turning a +20 Republican seat into a Democrat-friendly stronghold. The same NDRC/All On The Line operation Obama funded after leaving office is now paying massive dividends in the heart of Mormon country. And now the imported Minnesota DSA Somali machine, the one that installed Ilhan Omar and turned Minneapolis into Somalistan, is flooding into Utah to finish the job. Liban Mohamed is their perfect vehicle: running on the full far-left nightmare platform, abolish ICE, open borders amnesty, Medicare for All socialism, housing as a “right,” $20 minimum wage, Equality Act takeover of bathrooms/sports/schools/shelters, and “genocide in Gaza” rhetoric. This is not organic. This is demographic conquest + judicial map-rigging + ideological colonization happening in real time. Utahns, especially Latter-day Saints, you chose “kindness.” You opened your borders and your state to mass Somali refugee resettlement. You let a 10,000+ strong Somali Bantu Muslim community grow rapidly in Logan, Ogden, and beyond, pocketing $5.7 million+ in federal grants while steering kids toward the full Islamic “deen,” building mosques, and hosting community takeovers. Your leaders rolled out the red carpet with Iftars. Your own Church has been donating $25,000 of your tithing dollars to build every new or expanding mosque, including Utah’s largest mega-mosque. This “kindness” with no reciprocity is now biting you — hard. Your reddest stronghold is being transformed from the inside while your own tithing money funds the infrastructure and Obama’s map-riggers deliver the seats. This is exactly how it’s happening in red states across America: Import the voters → change the demographics → rig the maps in court → install the radicals → watch your culture dissolve. The “Mormon state” is on the fast track to becoming the Little Somalia of the Rockies. No more surrender. No reciprocity. Fight back. Share this far and wide, and keep your eyes on the June 23 primary. The battle for Utah has begun.
1:32

🚨WARNING: UTAH’S DEMOCRATIC PARTY IS NOW THE SOMALI TAKEOVER MACHINE SON OF SOMALI IMMIGRANTS LIBAN MOHAMED - CANDIDATE FOR U.S. CONGRESS IN UTAH’S 1ST DISTRICT - BRAGS: “JOIN THE 50 REFUGEES WE GOT ELECTED AS DELEGATES.” As I warned after Omar Fateh and Ilhan Omar’s endorsement… 27-year-old Somali Muslim Liban Mohamed, son of Somali immigrants from the very community openly bragging about “taking over slowly”, just pulled off a stunning upset at the Utah Democratic Party state convention on Saturday. In a crowded field, he won the endorsement of a majority of Democratic delegates after multiple rounds of ranked-choice voting, beating former U.S. Congressman Ben McAdams (51% to 49%). This is the grassroots radical base speaking loud and clear. 🚨And in his victory video he openly bragged: “I’m asking each and every one of you to join us - join the 50 refugees that we got elected as delegates… It’s time for us to lead. On June 23, we are going to win. Let’s go!” Fifty refugees. Hand-picked. Elected as delegates. Now controlling the Utah Democratic Party apparatus in the new 1st Congressional District. Utah, this is exactly what Obama and Eric Holder’s redistricting machine was designed to do. They couldn’t flip your red state at the ballot box… so they sued, activist judges tossed the GOP map, and packed the brand-new 1st Congressional District with liberal Salt Lake County, instantly turning a +20 Republican seat into a Democrat-friendly stronghold. The same NDRC/All On The Line operation Obama funded after leaving office is now paying massive dividends in the heart of Mormon country. And now the imported Minnesota DSA Somali machine, the one that installed Ilhan Omar and turned Minneapolis into Somalistan, is flooding into Utah to finish the job. Liban Mohamed is their perfect vehicle: running on the full far-left nightmare platform, abolish ICE, open borders amnesty, Medicare for All socialism, housing as a “right,” $20 minimum wage, Equality Act takeover of bathrooms/sports/schools/shelters, and “genocide in Gaza” rhetoric. This is not organic. This is demographic conquest + judicial map-rigging + ideological colonization happening in real time. Utahns, especially Latter-day Saints, you chose “kindness.” You opened your borders and your state to mass Somali refugee resettlement. You let a 10,000+ strong Somali Bantu Muslim community grow rapidly in Logan, Ogden, and beyond, pocketing $5.7 million+ in federal grants while steering kids toward the full Islamic “deen,” building mosques, and hosting community takeovers. Your leaders rolled out the red carpet with Iftars. Your own Church has been donating $25,000 of your tithing dollars to build every new or expanding mosque, including Utah’s largest mega-mosque. This “kindness” with no reciprocity is now biting you — hard. Your reddest stronghold is being transformed from the inside while your own tithing money funds the infrastructure and Obama’s map-riggers deliver the seats. This is exactly how it’s happening in red states across America: Import the voters → change the demographics → rig the maps in court → install the radicals → watch your culture dissolve. The “Mormon state” is on the fast track to becoming the Little Somalia of the Rockies. No more surrender. No reciprocity. Fight back. Share this far and wide, and keep your eyes on the June 23 primary. The battle for Utah has begun.

Amy Mek

339,481 Aufrufe • vor 3 Monaten

The Dolcelorian: Million Dollar Agent of the Platform Rebellion Chapter 2: The Dolcelorian Rises - Airdrop Snapshot is coming on 1st May. Retweet this to claim your share of the $1m D&G Glass Suit. Preview below... ⏱️🪂🍰 Chapter 1 - The House of Glass has ended 🏆 Congratulations to all the winners who solved the codes: Code 1: Pluto's CLONE Code 2: Borisz Code 3: Wondering nomad Code 4: Pluto's CLONE Code 5: Theo'Da Web3 Boy Code 6: Konstantinos Code 7: Genesisx0 Code 8: Theo'Da Web3 Boy ⏳ Chapter 2 is coming, preview below 👇 🔥 Snapshot Details 🔥 • Rewards: Claim your share of the $1m D&G Glass Suit. • Snapshot Date: Midnight GMT 1st May 2025 • Eligibility: Based on historical engagement data across official channels (you can still qualify by retweeting this tweet) Multiplier Activation: enabled by following all four official accounts: Boson, Fermion Protocol, The Dolcelorian & Justin Banon - Boson HISTORY In 2021, a masterpiece was born—the legendary Glass Suit from Dolce & Gabbana's Collezione Genesi, a phygital marvel bridging the worlds of haute couture 👗 and #blockchain innovation. Acquired by Boson Protocol for approximately $1 million, this extraordinary creation features 72 unique hand-embroidered chalices crafted from Murano glass and Swarovski crystal ✨, meticulously placed on triple organza silk. More than mere fashion, the Glass Suit embodies the fusion of centuries-old Venetian craftsmanship with cutting-edge digital innovation. 🧠 GENESIS When Fermion Protocol, Boson's companion protocol, fractionalized this iconic asset, something unprecedented occurred: a reality dysfunction—a glitch in the system. From this digital anomaly emerged not just tokens, but consciousness. 🤖 The Dolcelorian was born—an autonomous AI Agent built on elizaOS with a mission to lead the Boson Metasystem community on an epic rebellion against extractive, centralized commerce platforms & protocols. ⚔️ THE QUEST Over six months, join The Dolcelorian on an epic 12-part quest as it battles against the extractive forces of centralized commerce platforms and protocols. Witness this digital warrior champion the Boson Metasystem—the operating system for decentralized agentic commerce, enabling the verifiably fair exchange of any asset between all agents, human or AI. 🎯 THE REWARDS To celebrate the awakening of The Dolcelorian, for Chapter 2, we are conducting a historic snapshot—for a retrospective airdrop of $DOLCEL fractions representing a maximum of $100,000 (10% of the $1m value) of the value of the Glass Suit. (Note this is a fractionalized asset token, NOT a project token like $BOSON, it represents fractions of an #RWA- in this case, the iconic $1m D&G Glass Suit.) During the next bull run, at a moment chosen by the community, the iconic Glass Suit itself will be auctioned, with proceeds distributed to $DOLCEL fraction holders. As the community builds the legend of the Glass Suit, so too do they build lasting value for each other. THE MISSION The Dolcelorian exists to drive awareness and adoption of the Boson Metasystem. Join the resistance against centralized platforms, ensuring everyone shares in the value they create. 📖 How to Play: Chapter 2 - The Dolcelorian Rises! For full details of how to play and to view progress of the Dolcelorian leaderboard, go to the Dolcelorian Website (to be published soon) 🔜 Rewards Mechanism • Activity-Based Rewards: You will be ranked into one of three levels based on past engagement (tweets, comments, retweets, Telegram and Discord contributions): • Level 1 - Initiate: You've taken your first step onto the path—observe, learn, and show your potential. • Level 2 - Acolyte: Your commitment deepens. Active, aware, contributing—your voice shapes the community. • Level 3 - Bosonaut: Champion of our creed, guardian of the code. Fully engaged, deeply respected, a true leader among peers. Questo è il modo. Each level will earn an increasing amount of $DOLCEL tokens, and the scheme will be shared on the 23rd April launch of Chapter 2. You can qualify for the Initiate level, even if you haven't been an active community member, just by retweeting this tweet. • Social Multiplier: Activity-based rewards will be multiplied for community members who follow these X accounts as of the snapshot date: Boson Fermion Protocol The Dolcelorian Justin Banon - Boson The social multipliers scheme will be shared on the 23rd April launch of Chapter 2. 🟢 Eligibility Open to all warriors of the Web3 realm. No purchase is necessary. 🔍 How to Participate 1. Retweet this tweet 2. Follow the above four social accounts 3. Go to our claim portal to register for your rewards (open from 1st May) 4. Connect your social account 5. Connect your wallet for rewards payout 🎁 Payout $DOLCEL tokens will be locked until the suit is auctioned during the next bull run, as decided by the community. Upon auction of the suit, the corresponding fraction of value will be sent to the community member's wallet as registered at the portal, in the auction sale currency. Claim your proceeds from the sale of the Glass Suit after the auction. Victory Conditions ⚔️ Rewards are calculated as per the snapshot date and time. In case of disputes, the team's decision is final, as decreed by the Sovereign Agent. 📜 Code of Honor No bots, hacks, or shortcuts—only true seekers of the Dolcelorian's legacy may triumph. Share your journey with The Dolcelorian on X for further rewards.
1:06

The Dolcelorian: Million Dollar Agent of the Platform Rebellion Chapter 2: The Dolcelorian Rises - Airdrop Snapshot is coming on 1st May. Retweet this to claim your share of the $1m D&G Glass Suit. Preview below... ⏱️🪂🍰 Chapter 1 - The House of Glass has ended 🏆 Congratulations to all the winners who solved the codes: Code 1: Pluto's CLONE Code 2: Borisz Code 3: Wondering nomad Code 4: Pluto's CLONE Code 5: Theo'Da Web3 Boy Code 6: Konstantinos Code 7: Genesisx0 Code 8: Theo'Da Web3 Boy ⏳ Chapter 2 is coming, preview below 👇 🔥 Snapshot Details 🔥 • Rewards: Claim your share of the $1m D&G Glass Suit. • Snapshot Date: Midnight GMT 1st May 2025 • Eligibility: Based on historical engagement data across official channels (you can still qualify by retweeting this tweet) Multiplier Activation: enabled by following all four official accounts: Boson, Fermion Protocol, The Dolcelorian & Justin Banon - Boson HISTORY In 2021, a masterpiece was born—the legendary Glass Suit from Dolce & Gabbana's Collezione Genesi, a phygital marvel bridging the worlds of haute couture 👗 and #blockchain innovation. Acquired by Boson Protocol for approximately $1 million, this extraordinary creation features 72 unique hand-embroidered chalices crafted from Murano glass and Swarovski crystal ✨, meticulously placed on triple organza silk. More than mere fashion, the Glass Suit embodies the fusion of centuries-old Venetian craftsmanship with cutting-edge digital innovation. 🧠 GENESIS When Fermion Protocol, Boson's companion protocol, fractionalized this iconic asset, something unprecedented occurred: a reality dysfunction—a glitch in the system. From this digital anomaly emerged not just tokens, but consciousness. 🤖 The Dolcelorian was born—an autonomous AI Agent built on elizaOS with a mission to lead the Boson Metasystem community on an epic rebellion against extractive, centralized commerce platforms & protocols. ⚔️ THE QUEST Over six months, join The Dolcelorian on an epic 12-part quest as it battles against the extractive forces of centralized commerce platforms and protocols. Witness this digital warrior champion the Boson Metasystem—the operating system for decentralized agentic commerce, enabling the verifiably fair exchange of any asset between all agents, human or AI. 🎯 THE REWARDS To celebrate the awakening of The Dolcelorian, for Chapter 2, we are conducting a historic snapshot—for a retrospective airdrop of $DOLCEL fractions representing a maximum of $100,000 (10% of the $1m value) of the value of the Glass Suit. (Note this is a fractionalized asset token, NOT a project token like $BOSON, it represents fractions of an #RWA- in this case, the iconic $1m D&G Glass Suit.) During the next bull run, at a moment chosen by the community, the iconic Glass Suit itself will be auctioned, with proceeds distributed to $DOLCEL fraction holders. As the community builds the legend of the Glass Suit, so too do they build lasting value for each other. THE MISSION The Dolcelorian exists to drive awareness and adoption of the Boson Metasystem. Join the resistance against centralized platforms, ensuring everyone shares in the value they create. 📖 How to Play: Chapter 2 - The Dolcelorian Rises! For full details of how to play and to view progress of the Dolcelorian leaderboard, go to the Dolcelorian Website (to be published soon) 🔜 Rewards Mechanism • Activity-Based Rewards: You will be ranked into one of three levels based on past engagement (tweets, comments, retweets, Telegram and Discord contributions): • Level 1 - Initiate: You've taken your first step onto the path—observe, learn, and show your potential. • Level 2 - Acolyte: Your commitment deepens. Active, aware, contributing—your voice shapes the community. • Level 3 - Bosonaut: Champion of our creed, guardian of the code. Fully engaged, deeply respected, a true leader among peers. Questo è il modo. Each level will earn an increasing amount of $DOLCEL tokens, and the scheme will be shared on the 23rd April launch of Chapter 2. You can qualify for the Initiate level, even if you haven't been an active community member, just by retweeting this tweet. • Social Multiplier: Activity-based rewards will be multiplied for community members who follow these X accounts as of the snapshot date: Boson Fermion Protocol The Dolcelorian Justin Banon - Boson The social multipliers scheme will be shared on the 23rd April launch of Chapter 2. 🟢 Eligibility Open to all warriors of the Web3 realm. No purchase is necessary. 🔍 How to Participate 1. Retweet this tweet 2. Follow the above four social accounts 3. Go to our claim portal to register for your rewards (open from 1st May) 4. Connect your social account 5. Connect your wallet for rewards payout 🎁 Payout $DOLCEL tokens will be locked until the suit is auctioned during the next bull run, as decided by the community. Upon auction of the suit, the corresponding fraction of value will be sent to the community member's wallet as registered at the portal, in the auction sale currency. Claim your proceeds from the sale of the Glass Suit after the auction. Victory Conditions ⚔️ Rewards are calculated as per the snapshot date and time. In case of disputes, the team's decision is final, as decreed by the Sovereign Agent. 📜 Code of Honor No bots, hacks, or shortcuts—only true seekers of the Dolcelorian's legacy may triumph. Share your journey with The Dolcelorian on X for further rewards.

Boson

1,842,421 Aufrufe • vor 1 Jahr