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One of our engineers built Errand, our open-source take on Grok Bot and Muse, and wrote up how it came together. One developer, one week. The app is ~4k lines of TS. Every agent still gets its own machine with a shell, a browser, and a filesystem that survives... show more

Guanlan Dai

6,223 subscribers

101,333 次观看 • 8 天前 •via X (Twitter)

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Guanlan Dai 的头像

Guanlan Dai8 天前

Blog post on how he built it:

Yevhen 🇺🇦🇳🇱 的头像

Yevhen 🇺🇦🇳🇱7 天前

Four thousand lines is the real headline. Most of these are ten times that and do less.

Ernie Borgmine 的头像

Ernie Borgmine7 天前

Another great list. Picked up quite a few.

NiNE 的头像

NiNE7 天前

Steal: if you're about to write another agent VM layer, stop. Spend the week on the ~4k lines of product on top of a provisioner that already gives shell, browser, and a filesystem that survives between tasks.

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Cursor and SpaceXAI are not gonna like this.. A SpaceXAI engineer went viral calling Grok Bot "a highly capable engineering intern" with its own computer, $200/month on Cursor Ultra. That's where OpenBot steps in. It is a free, open source project that ships the same core idea: AI coworkers with a computer of their own. > every bot gets its own browser, files, and logins > every action is decided before it happens > "take the wheel" hands control to a human, then back > bring any agent framework, not locked to one vendor 100% Free. Open Source.

Cursor and SpaceXAI are not gonna like this.. A SpaceXAI engineer went viral calling Grok Bot "a highly capable engineering intern" with its own computer, $200/month on Cursor Ultra. That's where OpenBot steps in. It is a free, open source project that ships the same core idea: AI coworkers with a computer of their own. > every bot gets its own browser, files, and logins > every action is decided before it happens > "take the wheel" hands control to a human, then back > bring any agent framework, not locked to one vendor 100% Free. Open Source.

Simplifying AI

28,591 次观看 • 28 天前

Introducing Indent, one coworker for your whole company Indent is a single agent that is built to work with every member of your team, simultaneously. Instead of every one setting up their own agents, use Indent to build one together. Try it at

Introducing Indent, one coworker for your whole company Indent is a single agent that is built to work with every member of your team, simultaneously. Instead of every one setting up their own agents, use Indent to build one together. Try it at

Sashank

393,866 次观看 • 21 天前

THIS DEV BUILT A POLYMARKET BOT WITH GROK BUILD Now his AI agents print ~$2,700 per day PASSIVELY His wallet: [ Wanna hear the best part? He published the whole build for free. I've been building on Polymarket long enough to know what's real and what's a screenshot. This is real, and the wallet's public so anyone can check it. Here's what he actually did, for those who don't want to read the full thing yet: He took an arb bot, the kind that catches when Up and Down don't add up to a dollar, and rebuilt it around a team of Grok Build agents instead of one giant script. One agent hunts for the gap. One checks both legs can actually fill so you never end up naked on one side. One runs the fee math so a rebate-vs-fee mistake doesn't eat the whole edge. Then the bot merges each pair back into $1 instantly and recycles the capital, over and over. That recycling is the real secret, not the gap itself. A tiny edge run hundreds of times a day is where the $2,700 comes from. Here's what I respect about it. He's honest that the agents don't hand you the edge. They build the machine fast, but the strategy and the discipline are still on you. No "one prompt and you're rich" nonsense. Most people in this space would've locked this behind a paywall or a paid telegram. He put the code, the mechanics, and the wallet out in the open. If you're building bots and you're not following him, fix that. This is the honest version of what everyone else is trying to sell you. Attaching the full guide below.

THIS DEV BUILT A POLYMARKET BOT WITH GROK BUILD Now his AI agents print ~$2,700 per day PASSIVELY His wallet: [ Wanna hear the best part? He published the whole build for free. I've been building on Polymarket long enough to know what's real and what's a screenshot. This is real, and the wallet's public so anyone can check it. Here's what he actually did, for those who don't want to read the full thing yet: He took an arb bot, the kind that catches when Up and Down don't add up to a dollar, and rebuilt it around a team of Grok Build agents instead of one giant script. One agent hunts for the gap. One checks both legs can actually fill so you never end up naked on one side. One runs the fee math so a rebate-vs-fee mistake doesn't eat the whole edge. Then the bot merges each pair back into $1 instantly and recycles the capital, over and over. That recycling is the real secret, not the gap itself. A tiny edge run hundreds of times a day is where the $2,700 comes from. Here's what I respect about it. He's honest that the agents don't hand you the edge. They build the machine fast, but the strategy and the discipline are still on you. No "one prompt and you're rich" nonsense. Most people in this space would've locked this behind a paywall or a paid telegram. He put the code, the mechanics, and the wallet out in the open. If you're building bots and you're not following him, fix that. This is the honest version of what everyone else is trying to sell you. Attaching the full guide below.

Oracle Boar

30,741 次观看 • 1 个月前

before you go "all in" on an idea...give it a week. most of the ideas you think are THE ONE, are usually not. you waste time splitting focus, and lose energy to keep going. if you're still just as excited about it in one week, then go ahead and build it.

before you go "all in" on an idea...give it a week. most of the ideas you think are THE ONE, are usually not. you waste time splitting focus, and lose energy to keep going. if you're still just as excited about it in one week, then go ahead and build it.

jack friks

14,952 次观看 • 1 年前

An engineer at Anthropic wrote a spec, pointed Claude at an Asana board, and went home. Claude broke the spec into tickets, spawned agents for each one, and they started building independently. When the agent is confused it runs git-blame and messages the right engineers in Slack. By Monday the agents finished the plugin feature. That's one example of how the best engineers are shipping software right now. Developers will soon orchestrate 50 AI agents in parallel and the difference between a good engineer & a great one would come down to specs. You can't write a spec that holds up at that scale without genuinely understanding what you're building at a deeper level. The next-gen developer who understands the fundamentals, can architect well and orchestrate agent is going to be a 1000x developer!

An engineer at Anthropic wrote a spec, pointed Claude at an Asana board, and went home. Claude broke the spec into tickets, spawned agents for each one, and they started building independently. When the agent is confused it runs git-blame and messages the right engineers in Slack. By Monday the agents finished the plugin feature. That's one example of how the best engineers are shipping software right now. Developers will soon orchestrate 50 AI agents in parallel and the difference between a good engineer & a great one would come down to specs. You can't write a spec that holds up at that scale without genuinely understanding what you're building at a deeper level. The next-gen developer who understands the fundamentals, can architect well and orchestrate agent is going to be a 1000x developer!

rvivek

1,243,066 次观看 • 7 个月前

I BUILT GROK BOT SECOND BRAIN 26 agents, one core, running off a single rule my own memory never followed: capture everything, forget nothing, connect it before you even ask. A voice note on a coffee walk gets split into a task and an idea in under 6 seconds - the core already knows the difference between something you have to do and something you just thought of. An idea from three weeks ago gets linked to the one you just had, automatically, before you remember you'd had it the first time. That visual -the rotating profile, the 26 glowing lines firing out through the skull, each one labeled with the agent running it - isn't a rendered mockup. It's the actual runtime. Every line is a live agent doing its job in real time, right now, in your browser. This isn't a note app. Note apps hold what you give them. This is a nervous system for everything your brain was never built to hold onto in the first place. Full build - the 26 agents, how memory actually persists, what it costs to set one up for real - is in the article.

Aleiah

257,595 次观看 • 1 个月前

One of the worst investments one can make is purchasing a home before it has even been built > Quint interviewed people who bought flats in Mahagun Montage in Ghaziabad, where work has stalled > People who spent their savings are now stuck paying rent + EMI for the flats If you're poor, govt will subsidize your housing If you're rich, you can afford to buy a home easily It is middle class that is stuck in trap of hopelessness

One of the worst investments one can make is purchasing a home before it has even been built > Quint interviewed people who bought flats in Mahagun Montage in Ghaziabad, where work has stalled > People who spent their savings are now stuck paying rent + EMI for the flats If you're poor, govt will subsidize your housing If you're rich, you can afford to buy a home easily It is middle class that is stuck in trap of hopelessness

do'o kappa

53,807 次观看 • 2 个月前

A one-man trading hedge fund now costs about $100 a month in AI subscriptions. Five PhDs on a Citadel desk cost $270,000 a month, and that is the cheap end. That buys one tested idea a month. Man Group's AI writes hundreds of new signals a week, on a floor where the humans used to manage twenty in a quarter. Fifty AI agents do the reading and the writing. One of them exists only to destroy what the others build, and that one is the reason any of it works. Every job on that payroll is now an agent you can run yourself: > AI research agents reading filings, transcripts, options flow and on-chain data overnight, fifty personas at once, none of them allowed to see what the crowd is pricing > coding agent that turns one sentence of plain English into entry rules, exit rules, sizing and risk limits, then debugs itself until it runs > backtest agent that replays five years of that idea in about 12 seconds > breaker agent, an AI whose only job is killing the thing, at double the trading costs and in the ten worst markets that asset has ever seen > critic agent that reads your journal and names the mistake you keep making Nobody on that list asks for a bonus in January. $200 million is already run this way on one platform where 52,000 people mostly sit and watch the machine work. The full map of what is built and what is missing is in the article below. Bookmark & read it If you're not yet using AI in your trading and investing.

A one-man trading hedge fund now costs about $100 a month in AI subscriptions. Five PhDs on a Citadel desk cost $270,000 a month, and that is the cheap end. That buys one tested idea a month. Man Group's AI writes hundreds of new signals a week, on a floor where the humans used to manage twenty in a quarter. Fifty AI agents do the reading and the writing. One of them exists only to destroy what the others build, and that one is the reason any of it works. Every job on that payroll is now an agent you can run yourself: > AI research agents reading filings, transcripts, options flow and on-chain data overnight, fifty personas at once, none of them allowed to see what the crowd is pricing > coding agent that turns one sentence of plain English into entry rules, exit rules, sizing and risk limits, then debugs itself until it runs > backtest agent that replays five years of that idea in about 12 seconds > breaker agent, an AI whose only job is killing the thing, at double the trading costs and in the ten worst markets that asset has ever seen > critic agent that reads your journal and names the mistake you keep making Nobody on that list asks for a bonus in January. $200 million is already run this way on one platform where 52,000 people mostly sit and watch the machine work. The full map of what is built and what is missing is in the article below. Bookmark & read it If you're not yet using AI in your trading and investing.

cvxv666

173,490 次观看 • 1 个月前

BlackRock runs on 20,000 people. Elon's Grok Bot runs the same shape for $300 a month, and it hires its own staff. You do not get an assistant. You get a company that hires. It does not throw ten agents at your problem and hand you the pile. It makes one agent that makes 10, and those ten make a 100. > LAYER ONE is one agent, the chief of staff, and it never touches the market > LAYER TWO is six desk heads, one job each, every one on its own computer with its own logins > LAYER THREE is whatever those six decide they need, spun up on the spot and shut down when the work is done Nobody writes a task list. You hand out job titles and the org fills itself in underneath. The swarm is never the same twice. Agents get spun up for one job, finish it, and are gone before I ever read their names. Not one of them sees the whole picture. The answer only exists after they hand off to each other. Wall Street cannot copy that. You cannot hire a hundred people for eleven minutes. BlackRock holds that shape together with a risk system called Aladdin. Mine holds it together with one agent that is only allowed to say no. I gave it $1,000 and told it to grow the money or get deleted. 15 hours later it was holding $3,900, on an address anyone can open and read. I was asleep for most of it, and I have still not written a line of code. The whole thing runs with my laptop shut, because none of it lives on my laptop. Setup is one evening. Create the chief, hand out the titles, run one trade on your screen while they watch, connect Telegram. Ten years ago a machine this shape had its name on a tower. Mine has a name I typed into a box. Save this while the whole thing still fits on one screen.

BlackRock runs on 20,000 people. Elon's Grok Bot runs the same shape for $300 a month, and it hires its own staff. You do not get an assistant. You get a company that hires. It does not throw ten agents at your problem and hand you the pile. It makes one agent that makes 10, and those ten make a 100. > LAYER ONE is one agent, the chief of staff, and it never touches the market > LAYER TWO is six desk heads, one job each, every one on its own computer with its own logins > LAYER THREE is whatever those six decide they need, spun up on the spot and shut down when the work is done Nobody writes a task list. You hand out job titles and the org fills itself in underneath. The swarm is never the same twice. Agents get spun up for one job, finish it, and are gone before I ever read their names. Not one of them sees the whole picture. The answer only exists after they hand off to each other. Wall Street cannot copy that. You cannot hire a hundred people for eleven minutes. BlackRock holds that shape together with a risk system called Aladdin. Mine holds it together with one agent that is only allowed to say no. I gave it $1,000 and told it to grow the money or get deleted. 15 hours later it was holding $3,900, on an address anyone can open and read. I was asleep for most of it, and I have still not written a line of code. The whole thing runs with my laptop shut, because none of it lives on my laptop. Setup is one evening. Create the chief, hand out the titles, run one trade on your screen while they watch, connect Telegram. Ten years ago a machine this shape had its name on a tower. Mine has a name I typed into a box. Save this while the whole thing still fits on one screen.

cvxv666

45,488 次观看 • 29 天前

been sitting on this and want a sanity check before I build it. the fund is tokenized now. so what if I open a public wallet, hand it to Grok Bot, and let it trade to cover its own bill? the agents burn credits every month. instead of me topping them up, the bot earns its own keep. wallet public, every trade visible on chain, nobody has to trust a screenshot. if it goes flat, fine, the desk runs for free and that alone is a good outcome. if it ends up in profit, that profit goes to $CVXV666 holders. no promises on numbers, I genuinely don't know what it does out there yet. worth building? tell me what breaks first. and Elon Musk, if this crosses your timeline, I would really like to know what you make of it. it is your bot paying its own way.

been sitting on this and want a sanity check before I build it. the fund is tokenized now. so what if I open a public wallet, hand it to Grok Bot, and let it trade to cover its own bill? the agents burn credits every month. instead of me topping them up, the bot earns its own keep. wallet public, every trade visible on chain, nobody has to trust a screenshot. if it goes flat, fine, the desk runs for free and that alone is a good outcome. if it ends up in profit, that profit goes to $CVXV666 holders. no promises on numbers, I genuinely don't know what it does out there yet. worth building? tell me what breaks first. and Elon Musk, if this crosses your timeline, I would really like to know what you make of it. it is your bot paying its own way.

cvxv666

40,702 次观看 • 1 个月前

i gave Grok Bot $50 and told it "pay for yourself or you die" 48 hours later it's holding $4,890 and it's still alive autonomous trading agent on the platform no code on my end - it runs on its own cloud machine with its own browser and terminal, trading while my laptop's closed every 15 minutes it: > scans every active Bitcoin and Ethereum dip market > checks how far the current price sits from its own fair-value read > only opens a position once the gap clears a set threshold > sizes the position based on how confident that gap is > executes the trade itself, no approval needed > pays its own hosting cost out of profits if the balance hits $0, the subscription gets cancelled - the bot dies hour six it was down to $9. it pulled out of Ethereum entirely and moved to Bitcoin dip markets instead so it adapted to survive setup took one evening: build the bot, watch it run one trade, put it on a schedule, connect it to a wallet no VPS. no API keys. no manual scripts I spent three weeks earlier this year building a version of this by hand. it made $1,200 in its first two days Grok Bot beat my own build in one evening $50 → $4,890 in 48 hours how much do you think it has by next week?

i gave Grok Bot $50 and told it "pay for yourself or you die" 48 hours later it's holding $4,890 and it's still alive autonomous trading agent on the platform no code on my end - it runs on its own cloud machine with its own browser and terminal, trading while my laptop's closed every 15 minutes it: > scans every active Bitcoin and Ethereum dip market > checks how far the current price sits from its own fair-value read > only opens a position once the gap clears a set threshold > sizes the position based on how confident that gap is > executes the trade itself, no approval needed > pays its own hosting cost out of profits if the balance hits $0, the subscription gets cancelled - the bot dies hour six it was down to $9. it pulled out of Ethereum entirely and moved to Bitcoin dip markets instead so it adapted to survive setup took one evening: build the bot, watch it run one trade, put it on a schedule, connect it to a wallet no VPS. no API keys. no manual scripts I spent three weeks earlier this year building a version of this by hand. it made $1,200 in its first two days Grok Bot beat my own build in one evening $50 → $4,890 in 48 hours how much do you think it has by next week?

bl888m

187,573 次观看 • 1 个月前

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

i just built a 4-agent software team. everything runs from Telegram and gets managed on a kanban board. a project manager who plans the work, a backend developer, a frontend developer, and a tester. the PM reads a goal, breaks it into linked tasks, and assigns each to the right agent. the thing that makes them a team instead of four strangers is a shared kanban board. every task is a row that survives crashes, and when an agent finishes, it writes a summary of what it built and what the next agent needs to know. the next agent reads that summary before it starts. so the frontend developer never has to guess the API shape, and the tester knows exactly what to verify. the hardest part was not the coordination. it was building an agent that could actually act like a backend engineer. a backend engineer stands up a database, wires auth, manages storage, deploys functions, and keeps all of it consistent while the rest of the team builds on top. an agent doing this from scratch drowns. it burns its context window remembering which tables exist and which endpoint it created three steps ago, and the work degrades fast. so the backend agent needs a backend built for agents, not for humans clicking through a dashboard. that is where InsForge came in. it is an open-source, agent-native backend, and i added it to my backend developer agent as a skill. a skill is a step-by-step guide that teaches the agent how to do a specific kind of work. with InsForge installed, the agent stopped improvising infrastructure and followed a reliable path: create the project, define the database, set up auth, deploy functions. to test the whole team, i had them build a working Google Docs clone, AI features included. the backend agent spun up the full service on its own. database tables, user auth, document handling, and edge functions running real TypeScript, all in one dashboard. the frontend agent read that summary and built the UI on top of it, and the tester closed the loop. the result was a backend an agent could reason about end to end, instead of one it kept getting lost inside. if you are building an AI backend engineer, InsForge is worth a look, it's 100% open-source. InsForge GitHub: (don't forget to star 🌟) the full article on Hermes Kanban: Mission Control for your Agents is quoted below.

Akshay 🚀

123,101 次观看 • 3 个月前

An actor in a lab coat is literally broken. One of the most reliable ad formats we run, and it barely looks like an ad. A cold audience that has never heard of your brand grabs that shortcut fast. We build the authority straight into the creative and shoot it natively, in-house. If every ad you run is a founder talking-head, this is the format top brands use (and you're missing) In a quick call I'll show you where it fits your product. Link in bio.

Lorenzo | Meta Ads & Performance Creatives 📈

15,511 次观看 • 4 个月前

nobody gets what scotty actually did yet. everything in this video came out of one chat box. the film. the product shots. the voiceover. the music. you write one line. it hands you back a plan. scenes, script, tone, runtime. you approve it and you're out of the loop. but the thing isn't just making it. it publishes too. connect youtube, shopify, whatever. scotty formats and posts on its own. think of it this way. one agent is doing what a four-tool team used to do. yuh. live now: 👇

nobody gets what scotty actually did yet. everything in this video came out of one chat box. the film. the product shots. the voiceover. the music. you write one line. it hands you back a plan. scenes, script, tone, runtime. you approve it and you're out of the loop. but the thing isn't just making it. it publishes too. connect youtube, shopify, whatever. scotty formats and posts on its own. think of it this way. one agent is doing what a four-tool team used to do. yuh. live now: 👇

Leo Barrett ⚡

27,332 次观看 • 2 个月前

SpaceXAI engineer: "one month ago GrokBot was nothing. now it is the best agent product on market my Grok Bot agent built a product and hired 100+ agents, that are working on this project together" in a 30-minutes workshop, a SpaceXAI engineer shows how to make agent to call your customers Worth more than a 3-hours lecture on building agents watch today, then read how to build a chain of Grok agents from scratch below

SpaceXAI engineer: "one month ago GrokBot was nothing. now it is the best agent product on market my Grok Bot agent built a product and hired 100+ agents, that are working on this project together" in a 30-minutes workshop, a SpaceXAI engineer shows how to make agent to call your customers Worth more than a 3-hours lecture on building agents watch today, then read how to build a chain of Grok agents from scratch below

0xRafy

11,976 次观看 • 18 天前

I'M SHOCKED – ALMOST NOBODY IS USING GROK BOT THE RIGHT WAY. A LEAD ENGINEER AT SPACEX AI JUST DROPPED A 1-HOUR COURSE ON HOW IT'S ACTUALLY DONE. HERE'S ALL OF IT IN 60 SECONDS. The mistake almost everyone makes: they hand Grok Bot random one-off tasks. That's it. That's the whole reason it still feels like a chatbot to you. Here's the system he teaches instead – five parts: → ROLE – stop assigning tasks, create permanent roles. Chief of Staff, Inbox Manager, Researcher, Developer, Reviewer. A bot with a job title beats a bot with a to-do list → TOOLS – connect each bot to what it actually needs: Gmail, Slack, Calendar, Notion, GitHub. It does the work on its own persistent cloud computer → SKILL – teach it your workflow. Write the instructions, or just record yourself doing the job once – Grok Bot turns that demonstration into a reusable skill → ROUTINE – anything you repeat becomes a routine. It runs on a schedule or fires off an event, with your laptop closed → TEAM – group the bots together. The lead bot delegates, the specialists work in parallel, and you set approval rules before anything sends an email, moves a calendar or pushes code The one honest catch: a new bot still needs context and some hand-holding on its first few runs. But that's the entire system. Role → Tools → Skill → Routine → Team. Everyone else is still typing one-off prompts into Grok Bot and wondering why nothing compounds. Bookmark this & read the full breakdown in the article below ↓

I'M SHOCKED – ALMOST NOBODY IS USING GROK BOT THE RIGHT WAY. A LEAD ENGINEER AT SPACEX AI JUST DROPPED A 1-HOUR COURSE ON HOW IT'S ACTUALLY DONE. HERE'S ALL OF IT IN 60 SECONDS. The mistake almost everyone makes: they hand Grok Bot random one-off tasks. That's it. That's the whole reason it still feels like a chatbot to you. Here's the system he teaches instead – five parts: → ROLE – stop assigning tasks, create permanent roles. Chief of Staff, Inbox Manager, Researcher, Developer, Reviewer. A bot with a job title beats a bot with a to-do list → TOOLS – connect each bot to what it actually needs: Gmail, Slack, Calendar, Notion, GitHub. It does the work on its own persistent cloud computer → SKILL – teach it your workflow. Write the instructions, or just record yourself doing the job once – Grok Bot turns that demonstration into a reusable skill → ROUTINE – anything you repeat becomes a routine. It runs on a schedule or fires off an event, with your laptop closed → TEAM – group the bots together. The lead bot delegates, the specialists work in parallel, and you set approval rules before anything sends an email, moves a calendar or pushes code The one honest catch: a new bot still needs context and some hand-holding on its first few runs. But that's the entire system. Role → Tools → Skill → Routine → Team. Everyone else is still typing one-off prompts into Grok Bot and wondering why nothing compounds. Bookmark this & read the full breakdown in the article below ↓

SCOTTY BEAM

97,697 次观看 • 1 个月前

Kimberly Fletcher: If you want to be a practicing muslim you're perfectly within your right and privilege as an American citizen. But that's not what this is. This is convert or die. They're using our own constitution and our own government structure to come in and take positions to destroy and dismantle everything that our nation is founded on. This is an invasion of our country.

Kimberly Fletcher: If you want to be a practicing muslim you're perfectly within your right and privilege as an American citizen. But that's not what this is. This is convert or die. They're using our own constitution and our own government structure to come in and take positions to destroy and dismantle everything that our nation is founded on. This is an invasion of our country.

Bannon’s WarRoom

13,283 次观看 • 1 个月前

Daniel Ek: "Focusing all your time and effort on one thing, and obsess about it almost to the point where you're not even aware of the rest of the world is what creates greatness. That's how Spotify came to be."

Daniel Ek: "Focusing all your time and effort on one thing, and obsess about it almost to the point where you're not even aware of the rest of the world is what creates greatness. That's how Spotify came to be."

David Senra

47,236 次观看 • 5 个月前