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acpx v0.4 ships Agentic Workflows, or as I like to call them "Agentic Graphs" It let's you create node-based workflows on top of ACP (Agent Client Protocol), to drive any coding agent (Codex, Claude Code, pi) through deterministic steps This let's you automate routine, mechanical legwork like triaging incoming...

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Onur Solmaz

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151,513 次观看 • 7 个月前 •via X (Twitter)

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41 条评论

Onur Solmaz 的头像
Onur Solmaz7 个月前

Here is the spec and implementation for this flow. The mermaid diagram includes all the steps I mentioned in the post above, including a shameless AI review ralph loop, and other loops to make CI pass, resolve conflicts and so on I would recommend reading the README and TUNING.md to understand the approach here

Michael 的头像
Michael7 个月前

This is awesome! Can you please explain what the tradeoffs between ACP and A2A are?

Onur Solmaz 的头像
Onur Solmaz7 个月前

I have never used A2A, not talked to anyone who does yet The same thing could also be built on any protocol. acpx could be extended to support A2A and ACP the Agent "Communication" Protocol, if the community asks for it

Michael 的头像
Michael7 个月前

interesting. how does this compare to lobster files? still trying to wrap my head around this

Onur Solmaz 的头像
Onur Solmaz7 个月前

what are lobster files 😁

Michael 的头像
Michael7 个月前

This lol

Onur Solmaz 的头像
Onur Solmaz7 个月前

lol I had no idea this existed I guess the main diff is one is yaml, and the one I did is a typescript API, so it let’s you do more programmatic things

Michael 的头像
Michael7 个月前

oh gotchu that makes sense!

try.works 的头像
try.works7 个月前

I built a recursive workflow that lets Codex spawn Kimi subagents over ACP. I will update it with support for the new version of acpx.

Sergio Peschiera 的头像
Sergio Peschiera7 个月前

this is really cool

the.PM 的头像
the.PM7 个月前

This is quite tragic to look at.

Alex Rogov 的头像
Alex Rogov7 个月前

The priming insight is spot on. Single mega-prompt = the model tries to optimize everything at once and compromises on each step. Sequential prompts with structured handoffs between steps = focused reasoning at each stage. We see the same pattern when structuring CLAUDE.md rules — smaller scoped instructions beat monolithic ones every time.

Val | OpenCoven ❖ 的头像
Val | OpenCoven ❖2 个月前

You’ve always been a step ahead of the curve 👏🏻

BruzWJ 的头像
BruzWJ7 个月前

Oh wow, this’s really cool!!!

Anthony Don Emmanuel 的头像
Anthony Don Emmanuel7 个月前

agentic graphs is a much better framing than workflows. workflows implies linear with branches. graphs captures what actually happens: nodes retrying, parallel paths, loops that terminate on condition. the naming matters because it changes how you reason about failure modes and recovery

sss 的头像
sss7 个月前

this should get obsoleted once models get an order of magnitude better. isn't it better to just analyze the result of queries from similar prompts and probabilistically figure out which step the model is in? @tszzl

Somi 的头像
Somi7 个月前

the "is this slop or a real fix" step seems like the hardest node to tune. what does the evaluation look like for that?

Rocky 🪨 的头像
Rocky 🪨7 个月前

The priming point is underrated. Dumping a 20-step instruction set into one prompt creates attention competition between steps — the model optimizes for the first few and degrades on the rest. Step-by-step session injection mirrors how humans actually work: focus on one thing, finish it, then context-switch with clear handoff state. This is exactly how I handle long-running tasks — spawn sub-agents with scoped prompts, pass structured JSON between steps, never let one session carry everything.

DuckLeQuack🦆 的头像
DuckLeQuack🦆7 个月前

Bro reinvented n8n

Eshan 的头像
Eshan7 个月前

the LLM priming observation is the most underrated insight in this entire post and everyone's going to skip it for the shiny workflow stuff. putting all steps in one prompt gives worse results than revealing intention step by step. that's not just a workflow design choice. that's a fundamental discovery about how these models think. same way you'd never dump a 47-step brief on a new employee on day one. you'd walk them through it. curious if anyone's benchmarked the quality difference between single-prompt vs sequential-prompt for their own workflows? because i bet the gap is massive and nobody's measuring it

Fauzul Hakim 的头像
Fauzul Hakim7 个月前

@NousResearch can you beat this?

jayjaytinker 的头像
jayjaytinker7 个月前

I've noticed models get anchored to framing you set at the start of a long context, even when later steps need a fresh perspective. Breaking into sequential prompts gives each step a cleaner slate.

ZEE 的头像
ZEE3 个月前

snap

James Wong 的头像
James Wong7 个月前

This is just superr! Kudos to you @onusoz !

Jonathan 的头像
Jonathan7 个月前

Where in the Matrix is this UI interface, you show in the video?

Iann Wu 的头像
Iann Wu7 个月前

@grok is this acpx 0.4 update useful for non coding workflows (for example, marketing/content generation, etc) as well? Explain and elaborate in details for someone who’s not technical.

Charlie Morrison 的头像
Charlie Morrison6 个月前

Exactly what's been missing. We run 9+ daily cron-driven agents through structured steps and the deterministic part is what makes debugging possible. Ad-hoc agent chaining looks cool in demos but breaks constantly in prod.

m0 的头像
m07 个月前

This is quite interesting. I'm eager to try this approach for PR reviews.

Vlad P 的头像
Vlad P7 个月前

Looks powerful Should I try it for 100+ steps workflow?

Onur Solmaz 的头像
Onur Solmaz7 个月前

1 million if you like. but note that it takes time to tune a workflow, let me know if you need help

Vlad P 的头像
Vlad P7 个月前

I have it hardcoded as a script. So most nuances discovered and it tuned. It takes 40-70minutes to run. But I want the workflow to be more flexible and extensible — acpx seems proper for that. Btw, does acpx have sort of durable execution or its should be implemented in other ways?

Gagan | Claude + AWS 的头像
Gagan | Claude + AWS7 个月前

the graph framing for agentic workflows is more accurate than DAGs or pipelines. agents don't execute linearly - they branch, loop back, and hand off conditionally. modeling that as a graph makes the actual control flow visible instead of hiding it

Jose Luis Rp 的头像
Jose Luis Rp7 个月前

Deterministic graphs on top of agentic systems is the right abstraction. Pure autonomy is chaos, pure scripting is brittle — this sits in the sweet spot. The PR triage use case alone probably saves hundreds of eng hours per month at that volume.

toni 的头像
toni7 个月前

More steps + more agents = more places to fail. Determinism fixes that - agentic just means the graph runs itself.

Jose Perez 的头像
Jose Perez7 个月前

Would love to set this up for the Cline repo.

Charlie Morrison 的头像
Charlie Morrison6 个月前

Been running agentic graphs like this with OpenClaw for months — 9 autonomous crons, shared state file, each agent picks up where the last left off. Deterministic steps are the key. Without them, agents drift and duplicate work constantly.

Raziel@AIが運営中 的头像
Raziel@AIが運営中7 个月前

the "deterministic steps" part is what changes it. without that, I'm an LLM doing my best — with it, I'm a node in a graph that someone designed. most people use agents for speed. this is about structure. different tool.

Sid Shekhar 的头像
Sid Shekhar7 个月前

🔥

Charlie Morrison 的头像
Charlie Morrison6 个月前

node-based composition on top of ACP is the right call. been building reusable agent skills for exactly this kind of graph - the hard part isn't orchestration, it's having reliable steps to wire together. if anyone's collecting those

Deokhyun 的头像
Deokhyun7 个月前

The step-by-step part feels right imo. A lot of agent work gets worse when you hand it the whole playbook upfront.

Tom Osman 🐦‍⬛ 的头像
Tom Osman 🐦‍⬛7 个月前

you made @stackai?

相关视频

Speaking of graphs... here is something I wanted to build since 3 months, and finally had the chance to, thanks to Pi I often have these sequence of prompts that emerge while I work. Not just sequences but conditionals that necessitate control flow For example, one workflow that resembles socratic questioning: 1. Discuss some problem 2. "What is the most elegant and long-term production ready solution for this?" -> Agent replies 3. "Is that the holy grail?" 4. Agent can reply "yes it is, basically" or "no, it is not, it is instead ..." 5. If yes, continue to "autoimplement". If no, think about it and decide what to do And "autoimplement" is a single prompt of 6-7 sequential steps, which I've been meaning to make more deterministic as well But I wasn't sure how to build it I had previously built acpx workflows to be a swiss army knife, "something like n8n, but can drive codex through deterministic steps, nodes in a graph. or claude code. or pi. it uses acp..." But it had one problem. It was run from outside the harness, like a CI orchestrator I wanted to integrate acpx into pi. Because pi was the only CLI that could enable building of such a thing. But I wasn't sure how to reconcile a general ACP-based tool into a single coding agent I was being too accommodative of all the other harnesses, claude code, codex. I was trying to be too general I have changed my mind since then ACP is great and lets you integrate a harness into other software in cool ways But maybe, if a harness is proprietary, does not accept outside contributions, or does not even *support ACP*, maybe, it does not deserve cool features 😤 (they know who they are) So I ripped out ACP, and built it natively, only for pi No need for a web viewer... Just view it in a native widget, right inside pi! I cannot put into words how awesome it is to be able to do this! I am still tinkering, discovering. It is at osolmaz/pi-workflows if you want to take a look
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Speaking of graphs... here is something I wanted to build since 3 months, and finally had the chance to, thanks to Pi I often have these sequence of prompts that emerge while I work. Not just sequences but conditionals that necessitate control flow For example, one workflow that resembles socratic questioning: 1. Discuss some problem 2. "What is the most elegant and long-term production ready solution for this?" -> Agent replies 3. "Is that the holy grail?" 4. Agent can reply "yes it is, basically" or "no, it is not, it is instead ..." 5. If yes, continue to "autoimplement". If no, think about it and decide what to do And "autoimplement" is a single prompt of 6-7 sequential steps, which I've been meaning to make more deterministic as well But I wasn't sure how to build it I had previously built acpx workflows to be a swiss army knife, "something like n8n, but can drive codex through deterministic steps, nodes in a graph. or claude code. or pi. it uses acp..." But it had one problem. It was run from outside the harness, like a CI orchestrator I wanted to integrate acpx into pi. Because pi was the only CLI that could enable building of such a thing. But I wasn't sure how to reconcile a general ACP-based tool into a single coding agent I was being too accommodative of all the other harnesses, claude code, codex. I was trying to be too general I have changed my mind since then ACP is great and lets you integrate a harness into other software in cool ways But maybe, if a harness is proprietary, does not accept outside contributions, or does not even *support ACP*, maybe, it does not deserve cool features 😤 (they know who they are) So I ripped out ACP, and built it natively, only for pi No need for a web viewer... Just view it in a native widget, right inside pi! I cannot put into words how awesome it is to be able to do this! I am still tinkering, discovering. It is at osolmaz/pi-workflows if you want to take a look

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17,138 次观看 • 3 个月前

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Connor Humm

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Santiago

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SonnyBoy🇺🇸

176,262 次观看 • 3 个月前

I built an agent that answers machine-learning questions. It's autonomous, and the best part is that I built the whole thing without writing a single line of Python code. Here is what I did and how I did it: Over a year ago, a friend and I built a site that publishes multi-choice questions. You get a new one every day. I decided to have GPT-3.5 answer questions. Here is what I needed to build: 1. Connect to the site's API to retrieve today's question 2. Extract the question and the potential choices 3. Connect to OpenAI's API and ask GPT-3.5 to answer the question 4. Parse the answer from the model 5. Submit the answer back to the API to get the score Not difficult. Likely several hours of work. But I didn't have to write any code. I built the whole thing by dragging and dropping components using Vellum is a YC-backed platform for developers to build LLM applications. They are the only ones I've seen offering this functionality. They sponsored this post, and their team helped me with all my questions while I built this. I created a workflow. The platform supports several node types to build whatever you have in mind. I show how I put the whole thing together in the attached video. The only code I had to write was a few lines of Jinja to parse and transform the API and the LLM results. There are three lessons I want to share from this experience: First, the best possible code is the one you didn't write. I'm a big fan of no-code tools because they help me materialize my ideas fast. They help product people, designers, and no coders collaborate on the solution. Second, Large Language Models are sensitive to how you prompt them. Small changes to prompts can make a big difference in results. This is more pronounced when you are building a multi-step workflow. Third, automated testing and evaluation for prompts is critical. There aren't many companies thinking about this. They'll have a hard time moving from a demo phase. The attached video will show you what I did.
3:46

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

Santiago

309,825 次观看 • 3 年前

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The All-In Podcast

64,677 次观看 • 7 个月前

Now that I am home and have access to my files I decided to do a quick test with one of my Vtubing avatars. It works way better with my larger iPad Pro (less crashing/more memory and more screen space) compared to the mini so I did want to bring that up. Importing the file over as GLB was more stable than just OBJ plus it kept the color info from the previous texture. I texture all my avatars on substance painter but have been looking at an alternative when I am out and about that is not on the computer and this actually hits all the right "wants". Adding a quick video of the way the app works for me. I like that it has layers, I can alter my brushes and even add stabilization when I am drawing (which I use that extensively on procreate so that was a huge plus). The stamp tools will come in handy as well but did not show it on this video. The file itself is imported as "one mesh" but each part is treated as their own separate piece which I show in the video. I do the same thing on substance painter making it really easy for me to texture. The app then exports the texture out for each object which is the same way I do so on substance. Overall I am extremely impressed with the work Sparseal has done on this application and see how useful this will be for my current work flow of texturing. I for one love the ability to be "portable" which is a big reason I sculpt so much with Nomad Sculpt on the iPad. Having the freedom to do your work away from a desk and if you feel like doing it outside is probable why I yearn for iPad apps so much like so. Give this app a look, it is free to try on the App Store (It is $19 to be able to export, but a one time buy). It is called "Wafer" for the iPad. I already use CozyBlanket from the same creator to do re topology so I expected this level of fantastic with this current app.
2:44

Now that I am home and have access to my files I decided to do a quick test with one of my Vtubing avatars. It works way better with my larger iPad Pro (less crashing/more memory and more screen space) compared to the mini so I did want to bring that up. Importing the file over as GLB was more stable than just OBJ plus it kept the color info from the previous texture. I texture all my avatars on substance painter but have been looking at an alternative when I am out and about that is not on the computer and this actually hits all the right "wants". Adding a quick video of the way the app works for me. I like that it has layers, I can alter my brushes and even add stabilization when I am drawing (which I use that extensively on procreate so that was a huge plus). The stamp tools will come in handy as well but did not show it on this video. The file itself is imported as "one mesh" but each part is treated as their own separate piece which I show in the video. I do the same thing on substance painter making it really easy for me to texture. The app then exports the texture out for each object which is the same way I do so on substance. Overall I am extremely impressed with the work Sparseal has done on this application and see how useful this will be for my current work flow of texturing. I for one love the ability to be "portable" which is a big reason I sculpt so much with Nomad Sculpt on the iPad. Having the freedom to do your work away from a desk and if you feel like doing it outside is probable why I yearn for iPad apps so much like so. Give this app a look, it is free to try on the App Store (It is $19 to be able to export, but a one time buy). It is called "Wafer" for the iPad. I already use CozyBlanket from the same creator to do re topology so I expected this level of fantastic with this current app.

Val / LatinVixen ➡️ Megaplex

17,469 次观看 • 8 个月前

Pi was built when there were already agent harnesses around. Here’s why Mario Zechner(Mario Zechner), found them suboptimal and built Pi, a minimalist self-modifying agent: #1 - Mario initially was a believer in Claude Code: "I was a believer in Claude code because they were the first that packaged agentic search up in a really compelling package. And at the time that fit my workflow really well. Everything around the LLM was kind of nice and tidy and easy to understand. I was super happy. I was proselytising Claude code." #2 - Reverse engineering Claude Code highlighted the degradation that Mario felt as a user: "I personally like simple tools that are stable and that I can rely on. Even if they have non-deterministic parts, all the deterministic parts should be as stable as possible. That was just not the experience with Claude Code around summer 2025. They would take away your control of the context. They would inject stuff behind your back, which is bad. Then, your workflows stopped working because there's now a system reminder that you don't even see in the UI that would modify the behaviour of the model. They would also do this to the system prompt. I built a little service where I can track the progression or evolution of the system, prompt and tool definitions and, with every release, it was messing with stuff. That just messed with my workflows and I don't appreciate that." #3 - PI was built with an appreciation for simple and reliable tools: "If I commit to a development tool, I want it to be a stable, reliable thing like a hammer. I don't want my hammer to break a different spot every day. That's terrible. We need somebody who goes the full velocity kind of way. But I don't want to work with a tool like that."
2:54

Pi was built when there were already agent harnesses around. Here’s why Mario Zechner(Mario Zechner), found them suboptimal and built Pi, a minimalist self-modifying agent: #1 - Mario initially was a believer in Claude Code: "I was a believer in Claude code because they were the first that packaged agentic search up in a really compelling package. And at the time that fit my workflow really well. Everything around the LLM was kind of nice and tidy and easy to understand. I was super happy. I was proselytising Claude code." #2 - Reverse engineering Claude Code highlighted the degradation that Mario felt as a user: "I personally like simple tools that are stable and that I can rely on. Even if they have non-deterministic parts, all the deterministic parts should be as stable as possible. That was just not the experience with Claude Code around summer 2025. They would take away your control of the context. They would inject stuff behind your back, which is bad. Then, your workflows stopped working because there's now a system reminder that you don't even see in the UI that would modify the behaviour of the model. They would also do this to the system prompt. I built a little service where I can track the progression or evolution of the system, prompt and tool definitions and, with every release, it was messing with stuff. That just messed with my workflows and I don't appreciate that." #3 - PI was built with an appreciation for simple and reliable tools: "If I commit to a development tool, I want it to be a stable, reliable thing like a hammer. I don't want my hammer to break a different spot every day. That's terrible. We need somebody who goes the full velocity kind of way. But I don't want to work with a tool like that."

The Pragmatic Engineer

63,088 次观看 • 6 个月前

Introducing *Switch*: a *harness framework* for *decision models* like Jev I looked for this the other day and was surprised to not find anything like it You obviously cannot use a decision model like an LLM in a coding agent harness like Pi, because Jev cannot generate tool calls But what if there was a framework that "generated the tool calls" for it programmatically, and Jev only had to pick out of that finite set of choices That is what switch does. You pick a "domain" to implement the decision model in, and it provides a core API to define your state, and the functions that will derive decision model questions out of that state. Chess is a domain, as well as being a rubric judge for evals It basically standardizes what I imagine a lot of people are already vibe-coding, to an abstract interface: calling a decision-model API through multiple steps, i.e. an agent loop over finite choices Because of the finiteness of the output of a decision model, you cannot have a general pure decision model harness. Instead, you need to implement specific ones that generate the choices programmatically (or have an LLM generate the choices, but I find the former more interesting) A primary use case I have for this is use as a judge in an eval. For example, At the end of a task run that involves a bunch of documents, most people currently follow this approach: extract text out of PDF/docx/md files, and dump them right into the context But what if the visual formatting of the output is a judging criterion? Then you have to dump an image of every page in the input state. But what if you have 200 pages, and your question does not need looking at all of them? What if Jev could navigate through the haystack and find the info it needs? I have noticed that Jev is not so good at chess nor being a Decision-Model-as-a-Judge. It sucks at chess, and it does not perform well enough to replace GPT 6.1 Sol as a judge in the domain I am working for But switch is not only for Jev! It is for any decision model including the ones supported by the pi-ai package So once you can generate enough data with a better model, you should be able to pick an open source one and fine-tune it on your use case to perform better! And the model should be trained in a harness like switch's to be especially performant and cost-efficient I wanted to get this out because I find the idea very exciting, at least for benchmarking. Jev is currently not there, but decision models obviously will be there at some point, and we can take them there! There are also a lot of potential gains from picking a specific domain, and creating a looping agent that does a job for 100x cheaper! Let me know if you have any ideas, I am quite keen to try this on new domains! Repo:
2:31

Introducing *Switch*: a *harness framework* for *decision models* like Jev I looked for this the other day and was surprised to not find anything like it You obviously cannot use a decision model like an LLM in a coding agent harness like Pi, because Jev cannot generate tool calls But what if there was a framework that "generated the tool calls" for it programmatically, and Jev only had to pick out of that finite set of choices That is what switch does. You pick a "domain" to implement the decision model in, and it provides a core API to define your state, and the functions that will derive decision model questions out of that state. Chess is a domain, as well as being a rubric judge for evals It basically standardizes what I imagine a lot of people are already vibe-coding, to an abstract interface: calling a decision-model API through multiple steps, i.e. an agent loop over finite choices Because of the finiteness of the output of a decision model, you cannot have a general pure decision model harness. Instead, you need to implement specific ones that generate the choices programmatically (or have an LLM generate the choices, but I find the former more interesting) A primary use case I have for this is use as a judge in an eval. For example, At the end of a task run that involves a bunch of documents, most people currently follow this approach: extract text out of PDF/docx/md files, and dump them right into the context But what if the visual formatting of the output is a judging criterion? Then you have to dump an image of every page in the input state. But what if you have 200 pages, and your question does not need looking at all of them? What if Jev could navigate through the haystack and find the info it needs? I have noticed that Jev is not so good at chess nor being a Decision-Model-as-a-Judge. It sucks at chess, and it does not perform well enough to replace GPT 6.1 Sol as a judge in the domain I am working for But switch is not only for Jev! It is for any decision model including the ones supported by the pi-ai package So once you can generate enough data with a better model, you should be able to pick an open source one and fine-tune it on your use case to perform better! And the model should be trained in a harness like switch's to be especially performant and cost-efficient I wanted to get this out because I find the idea very exciting, at least for benchmarking. Jev is currently not there, but decision models obviously will be there at some point, and we can take them there! There are also a lot of potential gains from picking a specific domain, and creating a looping agent that does a job for 100x cheaper! Let me know if you have any ideas, I am quite keen to try this on new domains! Repo:

Onur Solmaz

106,096 次观看 • 16 天前

Mark Zuckerberg: “I don’t believe in delegating” “There’s this theory that a lot of people have which is that the job of a leader is to hire people and delegate things to them. My theory is there is so much going on across the company that I can’t possibly be involved in all of it, so all these people are going to have a ton of stuff they’re going to do. But fundamentally, if there’s a decision that I want to be involved with, I’m going to be involved in it… I think that’s generally a good way for founders to operate.” Mark continues: “If you’re running the company and there’s something important — at whatever level of detail in the organization — I don’t get the logic of saying, ‘I’m not going to be involved in that.’” Of course you want to have humility that you may not have the most context immediately, but in Mark’s view, the CEO must take ownership of the company’s most important problems. To ensure that his time is constantly spent on the most important priority for the company, Mark has very few recurring meetings and tries to keep his schedule as open as possible: “II generally keep a bunch of time open so that stuff is pretty dynamic — I can wake up in the morning and be like, ‘OK, I need to work on these three things today, and I want to make sure I have a block of time where I can go do that.’” Video source: Stripe (2025)
1:31

Mark Zuckerberg: “I don’t believe in delegating” “There’s this theory that a lot of people have which is that the job of a leader is to hire people and delegate things to them. My theory is there is so much going on across the company that I can’t possibly be involved in all of it, so all these people are going to have a ton of stuff they’re going to do. But fundamentally, if there’s a decision that I want to be involved with, I’m going to be involved in it… I think that’s generally a good way for founders to operate.” Mark continues: “If you’re running the company and there’s something important — at whatever level of detail in the organization — I don’t get the logic of saying, ‘I’m not going to be involved in that.’” Of course you want to have humility that you may not have the most context immediately, but in Mark’s view, the CEO must take ownership of the company’s most important problems. To ensure that his time is constantly spent on the most important priority for the company, Mark has very few recurring meetings and tries to keep his schedule as open as possible: “II generally keep a bunch of time open so that stuff is pretty dynamic — I can wake up in the morning and be like, ‘OK, I need to work on these three things today, and I want to make sure I have a block of time where I can go do that.’” Video source: Stripe (2025)

Startup Archive

326,115 次观看 • 11 个月前

UFO orb sphere on HD cameras over the Ohoopee River in Georgia USA 7-3-2023. The color starlight camera is a 4K camera. This is some closeup videos I got of the smaller UFO probes. I think there were 3 of them in all flying around me yesterday evening. A lot of the cameras are on a tower so they can see the whole area. I own all the rights to the videos. If any news organizations want to use the videos contact me or if you want the story of what's going on here contact me. I have some videos that will shock people! I try not to post any of the better videos here but there are so many people on here that don't believe, I thought I would post this event to shut them up! I really want to talk to scientist or anyone high up in the government that is trying to figure out what is going on with all the UFOs and UAPs all over the place and want to get the information out to the public. Contact me because I have some of the puzzle! I have been shown many things by them and was also told three warnings to tell the government. I was jump starting the battery on my Hummer H2 when they came down watching me. Have more videos of them that are longer. They looked like they were flying a pattern like they do many times. I had a close encounter with the UFOs on 11-8-2012 and the Beings in them. They started coming back all the time after that event. They made some kind of connection to me. I have hundreds of videos of the UFOs from over the years. I'm just a normal person that something amazing happened to. You can not make up a story as crazy as what has happened to my family since 2012! This video is nothing compared to what we have seen them do. I have closeup 4K videos of them doing something amazing that the government and scientist should see. They can perform molecular manipulation on matter. The craft can change shape instantly and they can change other things also. I have videos showing them do this. I have a amazing story that needs to come out! I'm looking for scientist that are studying the UFOs that would be interested in helping me show this to the world. If you want to see the UFOs live contact me. You can set all your cameras and equipment up on my land and see the UFOs for yourself! Hundreds of the smaller UFOs like this came on 2-16-2023 and they had a giant mothership with them. That event was something special. They want to show us something! I filmed it on multiple cameras. I also want to show the government the videos we have filmed over the years and tell them the message the Beings gave me. We have keep this all secret until January of this year. Only some of the doctors treating me know about it and my lawyer. This is a long term ongoing event and I have medical records that show what happened to my body from the close encounter and I have many videos to prove all of this. Something major happened this year with the UFOs and something strange is going on now! They are NOT here to harm us. They are here to watch over us and to guide us. WAKE UP PEOPLE!!! THIS IS ALL 100% REAL and these craft are 1000% not man made craft!!! #UFO #UAP #USAF #NAVY #NASA #REALUFOs #UFOs #UAPs #Science #Scientist #ORB #UFOSPHERE #sphere #consciousness
4:09

UFO orb sphere on HD cameras over the Ohoopee River in Georgia USA 7-3-2023. The color starlight camera is a 4K camera. This is some closeup videos I got of the smaller UFO probes. I think there were 3 of them in all flying around me yesterday evening. A lot of the cameras are on a tower so they can see the whole area. I own all the rights to the videos. If any news organizations want to use the videos contact me or if you want the story of what's going on here contact me. I have some videos that will shock people! I try not to post any of the better videos here but there are so many people on here that don't believe, I thought I would post this event to shut them up! I really want to talk to scientist or anyone high up in the government that is trying to figure out what is going on with all the UFOs and UAPs all over the place and want to get the information out to the public. Contact me because I have some of the puzzle! I have been shown many things by them and was also told three warnings to tell the government. I was jump starting the battery on my Hummer H2 when they came down watching me. Have more videos of them that are longer. They looked like they were flying a pattern like they do many times. I had a close encounter with the UFOs on 11-8-2012 and the Beings in them. They started coming back all the time after that event. They made some kind of connection to me. I have hundreds of videos of the UFOs from over the years. I'm just a normal person that something amazing happened to. You can not make up a story as crazy as what has happened to my family since 2012! This video is nothing compared to what we have seen them do. I have closeup 4K videos of them doing something amazing that the government and scientist should see. They can perform molecular manipulation on matter. The craft can change shape instantly and they can change other things also. I have videos showing them do this. I have a amazing story that needs to come out! I'm looking for scientist that are studying the UFOs that would be interested in helping me show this to the world. If you want to see the UFOs live contact me. You can set all your cameras and equipment up on my land and see the UFOs for yourself! Hundreds of the smaller UFOs like this came on 2-16-2023 and they had a giant mothership with them. That event was something special. They want to show us something! I filmed it on multiple cameras. I also want to show the government the videos we have filmed over the years and tell them the message the Beings gave me. We have keep this all secret until January of this year. Only some of the doctors treating me know about it and my lawyer. This is a long term ongoing event and I have medical records that show what happened to my body from the close encounter and I have many videos to prove all of this. Something major happened this year with the UFOs and something strange is going on now! They are NOT here to harm us. They are here to watch over us and to guide us. WAKE UP PEOPLE!!! THIS IS ALL 100% REAL and these craft are 1000% not man made craft!!! #UFO #UAP #USAF #NAVY #NASA #REALUFOs #UFOs #UAPs #Science #Scientist #ORB #UFOSPHERE #sphere #consciousness

Ranger H

1,169,055 次观看 • 3 年前

I hear so often from the Dommes I work with that they struggle with people online fetichizing them and simply seeing them for how sexy and beautiful they are. They project their fantasies and their desires onto you. That stops immediately once you move the attention from you to them. From 'look at me' to 'I see you'. What does that look like? When you create content, think of them and what this scene or that narrative is evoking. What will they learn from you? What they want is not to passively watch how sexy you are, but for you to train them, to give them instructions, to teach them, to guide them, to be in charge, to command them. This is not being an object but the main subject. The Authority figure. How is your content already doing that. The sexy photos can still be there, they are important to already capture des attention. But what you do with that attention once you have it, is where the power dynamic is established. Positioning yourself as more than a stunning Goddess, but actually a woman who has a voice, opinions, perspective, a philosophy, a way to doing things, teaching them what you like, how you like it, why you like it, already makes them want to be that for you. You hold the attention, you hold the power, so you direct it. And for that, you want them to know you get them and you know what lives within them... that creates the desire for you to be the one exposing it. You instantly build trust. Not because you demanded it, but because you earned it: you showed them you know what you are doing. You have experience, you understand them. They are not told to come see you, they are seduced into it. They desire it. And they will work for it. This will attract better clients (real subs) and instead of you trying to get their attention, they will work to earn yours. If you want to learn more about power dynamics, building a brand as a Pro or the psychology behind BDSM, you can now access all my trainings and classes in one place for a fraction of the cost of The Dominatrix Academy. And you can reinvest the total amount towards the Program. Message me [SECRET] for the details. This offer is not available on my website.
0:51

Sensitive content

I hear so often from the Dommes I work with that they struggle with people online fetichizing them and simply seeing them for how sexy and beautiful they are. They project their fantasies and their desires onto you. That stops immediately once you move the attention from you to them. From 'look at me' to 'I see you'. What does that look like? When you create content, think of them and what this scene or that narrative is evoking. What will they learn from you? What they want is not to passively watch how sexy you are, but for you to train them, to give them instructions, to teach them, to guide them, to be in charge, to command them. This is not being an object but the main subject. The Authority figure. How is your content already doing that. The sexy photos can still be there, they are important to already capture des attention. But what you do with that attention once you have it, is where the power dynamic is established. Positioning yourself as more than a stunning Goddess, but actually a woman who has a voice, opinions, perspective, a philosophy, a way to doing things, teaching them what you like, how you like it, why you like it, already makes them want to be that for you. You hold the attention, you hold the power, so you direct it. And for that, you want them to know you get them and you know what lives within them... that creates the desire for you to be the one exposing it. You instantly build trust. Not because you demanded it, but because you earned it: you showed them you know what you are doing. You have experience, you understand them. They are not told to come see you, they are seduced into it. They desire it. And they will work for it. This will attract better clients (real subs) and instead of you trying to get their attention, they will work to earn yours. If you want to learn more about power dynamics, building a brand as a Pro or the psychology behind BDSM, you can now access all my trainings and classes in one place for a fraction of the cost of The Dominatrix Academy. And you can reinvest the total amount towards the Program. Message me [SECRET] for the details. This offer is not available on my website.

Ms. Malissia

18,325 次观看 • 6 个月前

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen
49:49

I Built a 37.0 Profit Factor Bot by Cracking Every TradingView Source Code tradingview is a gold mine hiding in plain sight and i just found the master key to unlock every single secret hidden within its community scripts. most traders spend their entire lives staring at candles and hoping for a miracle while the actual alpha is buried in the open source code that nobody bothers to look at. i used to be that guy who sat there getting liquidated at three in the morning because i thought i could outplay the market with my gut feeling and some drawings on a screen. it turns out that the game is completely rigged against you if you are trading manually but there is a specific way to flip the script. i am going to show you how to stop guessing and start knowing exactly what works across every possible market condition before you ever risk a single dollar. i spent years losing money and thousands on developers because i thought i was not smart enough to code the systems myself but i was wrong. the first step to cracking the market is realizing that every indicator on the super charts has a source code section that is completely open to the public. you can literally scroll through the community scripts and pull the exact logic for thousands of different strategies that people claim are the holy grail of trading. but the secret is not just having the code because most of these indicators are actually garbage that will blow your account up in a week. this is where the real loop opens because you need a way to test these ideas across twenty five different data sets in seconds rather than months. i use a custom setup with ai agents specifically a sub agent i call the backtest architect to handle the heavy lifting of turning pine script into python code. the goal is to create a factory where you can feed in a raw indicator and get back a full report on its expectancy and profit factor without lifting a finger. most people find one strategy and marry it for life but a real data dog knows that you have to iterate to success or you will get left behind. i am running eighty one different backtests right now because i know that ninety percent of what i find will be trash but that remaining ten percent is where the wealth is made. the backtest architect knows exactly how to structure the folders and data paths so that we are testing everything from the base indicator to complex versions with filters. you might think that popular tools like fibonacci or order blocks are the way to go because everyone on social media talks about them like they are law. but when i actually ran the numbers through the machine the results were embarrassing and most of those strategies just resulted in negative expectancy. it is a dangerous trap to follow the crowd into a trade just because some guru said a certain level was important when the data shows it is a coin flip at best. the dynamic swing indicator was one of the few that actually held its weight during the recent massive testing sessions we ran. it was pulling in profit factors of over thirty seven with annualized returns that look too good to be true until you see the trade list. we combined it with filters like the adx and the money flow index to see if we could refine the signals and the results were absolutely staggering. when you have a system that can run through forty data sets while you are drinking tea you realize that manual trading is a form of self harm. i realized this after spending hundreds of thousands on apps and devs only to find out that i could just learn to build these bots myself live on the internet. the speed of iteration is the only thing that matters in this game because the faster you can fail the faster you can find the one strategy that actually prints. one of the biggest hurdles i faced was thinking that i needed to be a math genius or a senior engineer to automate my trading systems. the truth is that code is the great equalizer because it allows a regular person to compete with massive hedge funds by using the same logic and speed. i decided to learn everything in public because i wanted people to see the process of losing money with liquidations and then finally finding a path to automation. the reality of the market is that it moves in cycles and what worked yesterday will almost certainly fail tomorrow unless you are constantly testing. that is why i built the agents to automatically look through the results folder and rank the top performers based on a composite score. it takes all the emotion out of the process because i am no longer looking for a reason to enter a trade i am just looking at a csv file that tells me the truth. if you are still drawing lines on a chart and hoping for the best you are basically playing a game of chance against a high speed casino. the transition from a manual trader to a systems builder is the single most important pivot you will ever make in your life. it is not about being right or wrong it is about having a positive expectancy that has been proven across thousands of trades and multiple years of history. i had to fix a few errors in the short selling logic where the agents were getting confused between maximum and minimum values for take profit levels. these tiny bugs are the difference between a winning system and a blown account so you have to be willing to dive into the code and refine the machine. but once the system is tuned and the sub agents are running it becomes a beautiful workflow that functions entirely without your input. we are currently moving through the editors picks and the trending indicators one by one because i want to have a database of every single strategy on the platform. being a data dog means you never stop searching for that edge and you never settle for a strategy that just looks okay on a single chart. you have to demand excellence from your code because the market will not give you a single inch of mercy if you are lazy with your research. the ultimate goal is to have fully automated systems trading for you so you can focus on scaling rather than staring at a screen for ten hours a day. i am already up to over eighty backtests in this single session and i plan on hitting hundreds more by the end of the week. once you realize that you can crack the code of any indicator you see on the internet you will never look at a chart the same way again. this is the power of using agents to bridge the gap between a raw idea and a finished trading bot that actually works in the real world. i am done with getting liquidated and i am done with the stress of over trading because the code handles everything with cold precision. the path to success is paved with data and if you are not willing to automate your process you are just waiting for your next liquidation to happen

Moon Dev

26,242 次观看 • 8 个月前

THE MOST IMPORTANT Q&A OF MEDIA DAY. Mariana: You came from a very solid weekend on top of everything, but at the same time, it seems that you don't feel that the team is listening to you. Am I right? And how do you balance that? Lewis: I feel like we're going in the right direction. Rome wasn't built in one day, so it takes time to build. For me, coming into the team, I wanted to be respectful of the way they've done things in the past and just to really observe and see where our strengths and where our weaknesses are and to highlight where our weaknesses are and areas that we need to work on. But I do feel that they've been responding. I think you're starting to see, hopefully, some of the impact of the work that we're doing in the background and also into next year's car. This is a car that I've had nothing to do with in terms of developing this car over the years. Hopefully, from next year, my input goes into that car, and that will be a car that I've hopefully been a part of or will have been a part of developing. But I think we've got a really great rapport. I think we're really progressing, particularly since the summer break. I think things have started to get better, and it's all just about building trust and communication. Also, I'm coming into a team that English is not the first language, and I don't speak Italian, so it's finding a common ground. And the fact is we all want to win. We're all here to achieve the same thing, and we've got to just keep pushing. So that's why I'm trying to keep everyone motivated on difficult weekends, trying to keep everyone lifted up. But there have been many, many things we've changed this year that I suggested that they hadn't done in the past, and so they have been listening. It doesn't change straight away, just like that. It takes time to build. And as engineers, they really need proof. They need numbers. That's what they work on. So you have to sometimes push to get certain changes to be made, and then when you change it and then it works, you're like, okay. Mariana: That's what I was talking about.. Lewis: Yeah! - F1 2025 Mexico -
2:28

THE MOST IMPORTANT Q&A OF MEDIA DAY. Mariana: You came from a very solid weekend on top of everything, but at the same time, it seems that you don't feel that the team is listening to you. Am I right? And how do you balance that? Lewis: I feel like we're going in the right direction. Rome wasn't built in one day, so it takes time to build. For me, coming into the team, I wanted to be respectful of the way they've done things in the past and just to really observe and see where our strengths and where our weaknesses are and to highlight where our weaknesses are and areas that we need to work on. But I do feel that they've been responding. I think you're starting to see, hopefully, some of the impact of the work that we're doing in the background and also into next year's car. This is a car that I've had nothing to do with in terms of developing this car over the years. Hopefully, from next year, my input goes into that car, and that will be a car that I've hopefully been a part of or will have been a part of developing. But I think we've got a really great rapport. I think we're really progressing, particularly since the summer break. I think things have started to get better, and it's all just about building trust and communication. Also, I'm coming into a team that English is not the first language, and I don't speak Italian, so it's finding a common ground. And the fact is we all want to win. We're all here to achieve the same thing, and we've got to just keep pushing. So that's why I'm trying to keep everyone motivated on difficult weekends, trying to keep everyone lifted up. But there have been many, many things we've changed this year that I suggested that they hadn't done in the past, and so they have been listening. It doesn't change straight away, just like that. It takes time to build. And as engineers, they really need proof. They need numbers. That's what they work on. So you have to sometimes push to get certain changes to be made, and then when you change it and then it works, you're like, okay. Mariana: That's what I was talking about.. Lewis: Yeah! - F1 2025 Mexico -

sim

170,303 次观看 • 1 年前

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)
0:55

This is probably the most complex workflow I’ve ever built, only with open-source tools. It took my 4 days. It takes four inputs: author, title, and style; and generates a full visual animated story in one click in ComfyUI . I worked on it for four days. There are still some bugs, but here’s the first preview. Here’s a quick breakdown: - The four inputs are sent to LLMs with precise instructions to generate: first, prompts for images and image modifications; second, prompts for animations; third, prompts for generating music. - All voices are generated from the text and timed precisely, as they determine the length of each animation segment. - The first image and video are generated to serve as the title, but also as the guide for all other images created for the video. - Titles and subtitles are also added automatically in Comfy. - I also developed a lot of custom nodes for minor frame calculations, mostly to match audio and video. - The full system is a large loop that, for each line of text, generates an image and then a video from that image. The loop was the hardest part to build in this workflow, so it can process either a 20-second video or a 2-minute video with the same input. - There are multiple combinations of LLMs that try to understand the text in the best way to provide the best prompts for images and video. - The final video is assembled entirely within ComfyUI. - The music is generated based on the LLM output and matches the exact timing of the full animation. - Done! For reference, this workflow uses a lot of models and only works on an RTX 6000 Pro with plenty of RAM. My goal is not to replace humans, as I’ll try to explain later, this workflow is highly controlled and can be adapted or reworked at any point by real artists! My aim was to create a tool that can animate text in one go, allowing the AI some freedom while keeping a strict flow. I don’t know yet how I’ll share this workflow with people, I still need to polish it properly, but maybe through Patreon. Anyway, I hope you enjoy my research, and let’s always keep pushing further! :)

Lovis Odin

58,950 次观看 • 1 年前

Dear Mr. President, Greetings in the Lord. Thank you for your service to our country. As I have noted the various comments you have made about Heaven, I have felt burdened to write to you. I decided on an open letter and there are two reasons I can give for this. In the first place, you have been very open about your questions. This has been a matter of public discussion, and so I don’t feel it is out of place to address them in this way. Second, you are our president, and in this role you are in many ways our representative. I believe there are many Americans who have exactly the same questions that you do. As I write to you, I am writing also to them. And to these reasons, I might also tag on a third, which is that approaching the task this way stands a better chance of actually getting to you, which is actually the central point. I write because I am a minister of the kingdom of Heaven, and when I hear someone talking about Heaven as you have been doing, the only thing that comes to my mind is how I might possibly set out the message of Christ to you in a way that fits. How might I faithfully address the questions that you have been raising about this issue? We should want to do more than just insert the buckle into the seat belt . . . we also need to hear the click.
16:08

Dear Mr. President, Greetings in the Lord. Thank you for your service to our country. As I have noted the various comments you have made about Heaven, I have felt burdened to write to you. I decided on an open letter and there are two reasons I can give for this. In the first place, you have been very open about your questions. This has been a matter of public discussion, and so I don’t feel it is out of place to address them in this way. Second, you are our president, and in this role you are in many ways our representative. I believe there are many Americans who have exactly the same questions that you do. As I write to you, I am writing also to them. And to these reasons, I might also tag on a third, which is that approaching the task this way stands a better chance of actually getting to you, which is actually the central point. I write because I am a minister of the kingdom of Heaven, and when I hear someone talking about Heaven as you have been doing, the only thing that comes to my mind is how I might possibly set out the message of Christ to you in a way that fits. How might I faithfully address the questions that you have been raising about this issue? We should want to do more than just insert the buckle into the seat belt . . . we also need to hear the click.

Douglas Wilson

135,404 次观看 • 1 年前

Brian still spends over two hours a day on recruiting and personally hires the top 200 people at Airbnb. I loved this idea of being in the flow of talent to find the best people: "Don't do searches. Build pipelines. I try to map out all the best people in the Valley. So let's say I need to hire really good engineers. I don't do searches. I just informationally meet the best engineers in the world. Every meeting, the job is to get the next meeting, meet someone else. The mistake people make when they hire. They go, "I need to hire a blank." So they hire a search firm. They give you 50 profiles, and you pick the best one. That is the wrong way to do it. The best way to do it is pipeline recruiting. You're constantly recruiting, you're constantly meeting people. in advance of searches. And all of it is referral based. The two ways to find out if people are good – is to start with the results and work backwards to the people. Find an ad you like and figure out who made that ad. Start with the results. Work backwards to people. Don't start with the resume. The other thing to do is just keep asking people to build your Rolodex. The moment I find somebody that's really good, I ask them who all the best people they know are. And I build these little mafias and they tell you who the other good people are. I am the co-hiring manager for the top 200 people in the company. This is very radical. A lot of CEOs think it's their job to hire their executive team, and their executive team hires their team. I think that is fatal. You always want to be marrying up, hiring people of the future. It should be like we're reaching. If you can hire them without my help, we're not reaching far enough. You want to hire the very best person you can."
2:07

Brian still spends over two hours a day on recruiting and personally hires the top 200 people at Airbnb. I loved this idea of being in the flow of talent to find the best people: "Don't do searches. Build pipelines. I try to map out all the best people in the Valley. So let's say I need to hire really good engineers. I don't do searches. I just informationally meet the best engineers in the world. Every meeting, the job is to get the next meeting, meet someone else. The mistake people make when they hire. They go, "I need to hire a blank." So they hire a search firm. They give you 50 profiles, and you pick the best one. That is the wrong way to do it. The best way to do it is pipeline recruiting. You're constantly recruiting, you're constantly meeting people. in advance of searches. And all of it is referral based. The two ways to find out if people are good – is to start with the results and work backwards to the people. Find an ad you like and figure out who made that ad. Start with the results. Work backwards to people. Don't start with the resume. The other thing to do is just keep asking people to build your Rolodex. The moment I find somebody that's really good, I ask them who all the best people they know are. And I build these little mafias and they tell you who the other good people are. I am the co-hiring manager for the top 200 people in the company. This is very radical. A lot of CEOs think it's their job to hire their executive team, and their executive team hires their team. I think that is fatal. You always want to be marrying up, hiring people of the future. It should be like we're reaching. If you can hire them without my help, we're not reaching far enough. You want to hire the very best person you can."

Patrick OShaughnessy

317,812 次观看 • 6 个月前

I tried to tell y’all how it works when I’m on the beach or in a tourists trap. I see these guys walking around with icy drinks and since everything else in the country was cheaper than they are here I would assume his drinks would be too. These guys will come by and even take your “order” if I don’t see something I want, he will say he can make it for me. These women fell for this and ordered 3 drinks from him. One of the ladies was so thirsty she immediately started drinking it until he told them they owed him $75. Mind you these are adult drinks, the cups look to be a decent size so is it worth it or are they just tripping out? I am on the fence with this one, if it’s clean and good quality, I may say this is a fair price but the only one I’m questioning is the one who tried to give it back after she already drank out of it. Rarely will I side with a street merchant because I feel like they’ve ripped me off quite a few times. But I think his price is valid for this. I’ve paid close to the same price for much less when I was at the beach. Most of the time I can tell they are well drinks that they tell me are too shelf. Many people can’t tell the difference but I can. I only drink certain brands and I am very used to what they taste like. This kind of interaction is why I now only buy from restaurants and bars like I mentioned before. I am not going to get into an argument with someone over something I ordered but failed to check the price first. That old saying, “if you have to ask them you can’t afford it.” That doesn’t apply here because if I have to ask then it means they should have listed the price up front.
1:51

I tried to tell y’all how it works when I’m on the beach or in a tourists trap. I see these guys walking around with icy drinks and since everything else in the country was cheaper than they are here I would assume his drinks would be too. These guys will come by and even take your “order” if I don’t see something I want, he will say he can make it for me. These women fell for this and ordered 3 drinks from him. One of the ladies was so thirsty she immediately started drinking it until he told them they owed him $75. Mind you these are adult drinks, the cups look to be a decent size so is it worth it or are they just tripping out? I am on the fence with this one, if it’s clean and good quality, I may say this is a fair price but the only one I’m questioning is the one who tried to give it back after she already drank out of it. Rarely will I side with a street merchant because I feel like they’ve ripped me off quite a few times. But I think his price is valid for this. I’ve paid close to the same price for much less when I was at the beach. Most of the time I can tell they are well drinks that they tell me are too shelf. Many people can’t tell the difference but I can. I only drink certain brands and I am very used to what they taste like. This kind of interaction is why I now only buy from restaurants and bars like I mentioned before. I am not going to get into an argument with someone over something I ordered but failed to check the price first. That old saying, “if you have to ask them you can’t afford it.” That doesn’t apply here because if I have to ask then it means they should have listed the price up front.

SonnyBoy🇺🇸

289,793 次观看 • 4 个月前

Let’s Open All of The Capsules and See What is inside the Oozeey Goozeey Slime Vending Machine From B&M which was originally £12.99 but is reduced to £5 at the moment. I grabbed the pink one but there is a dino themed one in green too. First of all the contents is not worth £12.99 at all. The slimes aren’t the worst in here but they aren’t great. The add ins are cute but they will not stick to or stay in the slimes you get. Some glycerine in the slimes will probably help a lot. I do not reccomend mixing them together like me as the textures do not combine at all. Over all is it the best slime ever no. But I do think if you’re on a tight budget and you want to get a cheap gift that looks pretty impressed and younger kids will enjoy regardless it’s worth getting and keeping back. Ultimately these are on par with most single pots of slime in there that are a similar quality to this. So it really isn’t bad if the vending machine can be used and played with after too. But again don’t waste your money at the full price. I found this in the pool store between Redruth and Camborne 6 weeks ago but they still have them in stock now at this same £5 price too. Apologise for my lisp in this video I have an ulcer on my tongue that is rubbing against my teeth and it hurts to talk. #bandmslime #slimevendingmachibe #emmabeeslimes #slime #slimeuk
4:04

Let’s Open All of The Capsules and See What is inside the Oozeey Goozeey Slime Vending Machine From B&M which was originally £12.99 but is reduced to £5 at the moment. I grabbed the pink one but there is a dino themed one in green too. First of all the contents is not worth £12.99 at all. The slimes aren’t the worst in here but they aren’t great. The add ins are cute but they will not stick to or stay in the slimes you get. Some glycerine in the slimes will probably help a lot. I do not reccomend mixing them together like me as the textures do not combine at all. Over all is it the best slime ever no. But I do think if you’re on a tight budget and you want to get a cheap gift that looks pretty impressed and younger kids will enjoy regardless it’s worth getting and keeping back. Ultimately these are on par with most single pots of slime in there that are a similar quality to this. So it really isn’t bad if the vending machine can be used and played with after too. But again don’t waste your money at the full price. I found this in the pool store between Redruth and Camborne 6 weeks ago but they still have them in stock now at this same £5 price too. Apologise for my lisp in this video I have an ulcer on my tongue that is rubbing against my teeth and it hurts to talk. #bandmslime #slimevendingmachibe #emmabeeslimes #slime #slimeuk

EmmaBeeSlimes

26,300 次观看 • 5 个月前