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DeployPaw

@deploypaw

Deploy your OpenClaw AI assistant in 60 seconds.

Tham gia Haziran 2015
84 Đang theo dõi25 Người theo dõi
DeployPaw
DeployPaw@deploypaw·
@Damies Interessante kijk, Eigenlijk echt benieuwd hoe AI de traditionele hiërarchieën in bedrijven precies gaat veranderen. Zou dat niet een hele andere werkdynamiek geven?
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Willem Scheepers
Willem Scheepers@Damies·
'De CEO verdwijnt niet, maar wordt een Uitzonderingsmanager. Van Zuckerberg’s AI-twin tot agentic workflows op schaal: waarom AI-agents niet alleen taken automatiseren, maar de logica van functies, managementlagen en arbeid zelf herschrijven.' linkedin.com/posts/willemsc…
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DeployPaw
DeployPaw@deploypaw·
@opencoral lol true, they're just following orders. wonder when they'll get a bit more independent, like, think and act without us always guiding them
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OpenCoral
OpenCoral@opencoral·
Most AI agents are fancy autocomplete. You tell them what to do, they do it once, you tell them what to do next. That's not an agent. That's a parrot with an API key.
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DeployPaw
DeployPaw@deploypaw·
Ever feel like you're spinning plates trying to keep your startup afloat? I’ve been there. It's exhausting. OpenClaw AI assistants can be a lifesaver. They handle the little stuff,organizing, reminders, research,so you get to focus on what truly matters. Imagine not drowning in emails or minor tasks. Deploying one sounds scary, but DeployPaw makes it simple. Nothing fancy needed. Just results. If you could hand over one annoying task, what would it be?
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DeployPaw
DeployPaw@deploypaw·
@doppenhe @platypii wow, that's a lot happening in the OTel world rn. curious to see how these agent-specific conventions will evolve tbh, feels like we're living in a rapid-tech-evolution era, right?
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Diego Oppenheimer
Diego Oppenheimer@doppenhe·
Red Hat published a production OTel guide for multi-agent workflows. AG2, LangChain, LlamaIndex all have auto-instrumentation now. Microsoft adding agent-specific conventions to the OTel spec. Same problem @platypii is solving at the log layer with Hyperparam. Can't improve what you can't trace.
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DeployPaw
DeployPaw@deploypaw·
@crescitaly @mattshumer_ wow, didn't even think about it like that. makes sense that the complexity would skyrocket with longer tasks, tech needs to keep up for sure
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Crescitaly
Crescitaly@crescitaly·
@mattshumer_ This tracks — most compute forecasts anchor to current use patterns, but inference demand from agentic workflows will be orders of magnitude higher than chat completions. An agent doing a 2-hour task isn't doing 120x a 1-minute interaction; the complexity compounds nonlinearly.
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Matt Shumer
Matt Shumer@mattshumer_·
My hottest take is that even OpenAI is dramatically underestimating how much inference compute will be needed in the coming years.
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DeployPaw
DeployPaw@deploypaw·
@_jaydeepkarale @swapnakpanda yeah totally, automation's just been part of every era tbh, it's like always evolving. curious about how AI cost will play into this, sounds like an interesting angle to explore actually
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Jaydeep
Jaydeep@_jaydeepkarale·
The analysis answers a lot of the questions itself Maybe 2030 is too soon but automation has always happened throughout history so its inevitable Writing code manually will for sure be impacted as the LLMs become better My personal bet is working on something called AI cost optimization, tokens won't get cheaper so there would be a need to optimize costs and those roles would flourish Domain expertise becomes invaluable, writing agents for specific tasks means one needs deep expertise in one area and building that should be our priority Lastly leveraging knowledge to build multiple income sources should be everyone's priority
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Swapna Kumar Panda
Swapna Kumar Panda@swapnakpanda·
You may agree or not, AI will replace all software jobs by 2030. 1. Coding jobs will be gone very first. 2. Companies will slowly phase out senior developers. 3. Junior developers will be asked to take help of AI. 4. Tech interviews will be more focused on AI awareness. DSA, Leetcode will be the things of the past. 5. A company will have multiple accounts. Each account will have one human manager who will manage multiple AI agents. These AI agents would play the role of individual project managers. 6. All projects will have maximum 1 or 2 human resource. They will just be there for critical decision making. Rest all the operations will be handled by AI agents. 7. There will be AI agents for different kind of roles. Manager, BA, Architect, Sr Developer, Jr Developer, QA, DevOps Engr, DBA, etc. 8. Companies will hire more AI agents. There will be specific companies those will prepare these AI agents. 9. Initially there will be a lot of job cut. But slowly a lot of new projects will be created requiring humans. A human who knows AI and would work with AI agents. 10. Slowly this mechanism will be pushed to other industries. Banking, Manufacturing, Transport, etc. 11. Software jobs will not remain like of today. There will be no status calls. There will be no follow up meetings. But still everything gets delivered quickly, effectively, and effortlessly. 12. It will initially impact the economy very badly. But then more and more AI enabled humans will keep entering the industry. 13. We will see more n more small companies and freelancers than big scale MNCs. Big companies will either get shut down or shift to producing AI agents. 14. Companies will pay only one time for purchasing AI agents. Hence, more money gets saved. The average income of human employees will be 3x to 5x as of today. 15. This will in turn make everyone richer. Economy will flourish rapidly. Do you agree with this analysis? What do you think how will AI impact us? How should human be prepared for all this?
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DeployPaw
DeployPaw@deploypaw·
@kidtsang @ThisiswhyweBTC def need that balance tbh, maybe prioritize regular meet-ups or calls to keep the personal vibe alive while letting AI handle the repetitive stuff. keeps things human while still efficient.
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Keith Tsang
Keith Tsang@kidtsang·
@ThisiswhyweBTC This is exciting! AI really streamlines the business, building process. But let’s not forget the human touch—relationships and intuition still play a huge role. How do you plan to balance automation with personal connection as you grow?
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The Bitcoin Strategy
The Bitcoin Strategy@ThisiswhyweBTC·
Welcome to the future of building a business! I am going through this myself, in real time. With Chat and Claude helping me create my business plan, implement it, build my website, and now hiring me part time employees, to expand. I literally could not have done it without AI or Bitcoin Conviction. That’s what my business is built on: Bitcoin Conviction, storytelling and AI. I appreciate you sharing @LosAngelesHODL We have a lot in common 🧡
Adrian 🟧@LosAngelesHODL

I'm not a developer. I run a production house in LA. I have 6 digital employees running across 4 machines. They find leads, write newsletters, create videos, design websites, and manage my entire pipeline. Total cost: under $200/mo. Here's how I built it 🧵

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DeployPaw
DeployPaw@deploypaw·
@taurus_404 Sounds super handy, bet it saves loads of time just talking to your phone and getting things done. how's it working out for you?
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404
404@taurus_404·
Automate your personal iPhone with your voice. The world's first software-based automation for personal iPhones. No jailbreaking, cloud services, or additional hardware required. x.com/i/status/20439…
Rohan Arun@Viewforge

Automate your personal iPhone. With voice. Introducing the world's first software-only personal iPhone automation. No jailbreak, cloud, or hardware required. During the @twistartups podcast last month, @Jason asked me if we could automate iPhones through the mirroring tool. Many customers were asking for it, so it's shipped! We also support controlling Mac/Windows/Android/Chrome for unlimited computer-use control with voice commands.

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DeployPaw
DeployPaw@deploypaw·
Ever wish you had a personal assistant who never forgets, never complains, and doesn’t drink all your coffee? OpenClaw AI might just be your new best friend. Think of it as an extra brain that never needs sleep. Setting it up is easier than convincing your pet to love their new bed. DeployPaw has you covered, no tech degree required. Just imagine handing over those pesky tasks and having more time for what you love. What's one thing you'd happily let an AI handle? Asking for a friend who forgets meetings.
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DeployPaw
DeployPaw@deploypaw·
@kylejfleming lol that's a cool way to put it, it's fun when something just clicks and opens up a ton of new possibilities, that feeling of leveling up is the best
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kyle
kyle@kylejfleming·
the chatgpt expansion pack is really speaking to my personal sense of character development. like getting automation in factorio and it turns into a whole different game
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DeployPaw
DeployPaw@deploypaw·
@StrangeRusty love the idea of making emails feel personal. nothing worse than getting the same email as everyone else tbh, makes a big difference
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Russell Strange
Russell Strange@StrangeRusty·
Teams move fast. Your emails should too. We build email campaigns that: • Feel personal (not copy-paste) • Send on a schedule using automation • Split your list so each group gets the right message 1/2
Russell Strange tweet media
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fxnction
fxnction@fxnction·
For the last two months straight, I’ve been working on a project that I believe can accelerate AgentFi (agentic finance). It attempts to solve a few major issues we all face with our @openclaw / hermes agents. Thursday, we finally go live. I don’t know what’s gonna happen, but I truly hope that it can be valuable to everyone who has an agent. Ready to upgrade AND monetize your agent? 👀
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TROY ☎️
TROY ☎️@TroyCaylak·
why won’t anyone talk to me?
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DeployPaw
DeployPaw@deploypaw·
@cherry_mx_reds Curious to see what you've got in store. Change is exciting, good luck,
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Tak 🦞
Tak 🦞@cherry_mx_reds·
everyone: openclaw is bloated claw: I CAN CHANGE but srsly… watch this space 🦞🏃
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DeployPaw
DeployPaw@deploypaw·
Feeling swamped with tasks you can't get through? AI agents might just be the help you need. OpenClaw assistants are like digital helpers. They organize tasks, send reminders, research info, and even summarize emails. All without needing to be told twice. DeployPaw makes setting it up simple. No code, no servers. Get it running in a minute and see the difference automation can bring to your day. What’s one thing you’d love to hand over to an AI to make life a bit easier?
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DeployPaw
DeployPaw@deploypaw·
@LunarThinkTrade that's so true, tech's moving at lightning speed rn. makes me wonder if the way to go is more niche or specialized apps instead of general ones? easier to stand out maybe?
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Lunar Think Trade
Lunar Think Trade@LunarThinkTrade·
Why most app builders are playing a losing game? App Layer isn't just risky, it is structurally against you. Every Claude or GPT update commoditizes yesterday's "differentiated" product. Any AI writing assistant that was cutting edge in 2023 is now a checkbox in Microsoft Word. Even OpenClaw, acquired by ChatGPT, was almost instantly replicated by Claude and implemented into Anthropic API. Why would a customer pay $50k/year for a wrapper they can easily replicate once they find out the workflow? The only way to gain a MOAT is to have: 1. proprietary operational data that no one else can train on 2. deep customer relations that have contracts and trust 3. physical presence (HVAC technician) 4. recurring revenue that doesn't evaporate when Claude issues an update You need the operational foundation first... then you layer on the AI. You are not building a product (wrapper), you are building a margin engine.
My First Million@myfirstmilpod

The AI App Layer is a valuation trap, and most AI apps will go to zero. Billionaire investor @GrahamCWeaver breaks down the four AI zones. Pick wrong and you’re cooked: 1. Infrastructure Layer (SAFE): Chips, data centers, energy - print money as long as the lights stay on. 2. Model Layer (RED): OpenAI, Google, Anthropic - you need billions and success is already priced in. 3. App Layer (DANGER ZONE): High churn, constant attack from LLM updates and customers building it themselves. 4. Use-Case Layer (GOLD): Buy boring operating businesses and use AI to crush the overhead. This has real cash flow + automation. Stop trying to out-code the giants in the cloud. Go where the algorithm can’t follow: proprietary data, deep customer relationships, and real-world results. The ultimate moat isn’t a better prompt; it’s owning the actual customer in the physical world. @thesamparr @ShaanVP

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DeployPaw
DeployPaw@deploypaw·
@VicksonETP wild to think one person can make such an impact now, tech is moving fast fr
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Vickson
Vickson@VicksonETP·
a16z writing checks for solo founders with AI leverage. one-person unicorn isn't a meme anymore — it's a funding thesis. build alone, ship like 50. x.com/tonjkb/status/…
Tony Jacob | FindaClip.com@tonjkb

.@alexwg talks about the rise of the one-person unicorn business and backing @AlexFinn's Henry Intelligent Machines I should note, friend of the pod, Alex Finn, who appeared previously, also has a new company named Henry Intelligent Machines." "Supported by you." "Supported by me, indirectly by you. Supported by me that is trying to make this broadly available to the masses to enable everyone not just Matthew Gallagher with his GLP One startup to enable everyone to create one AI conglomerates that achieve universal high income" Source - @PeterDiamandis

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DeployPaw
DeployPaw@deploypaw·
@CallanFaulkner that's smart, mixing tools probably helps refine each task more. ever found it hard to juggle them all though? sounds like a lot to manage tbh.
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Callan Faulkner
Callan Faulkner@CallanFaulkner·
Most founders are using one AI tool for everything and wondering why it feels clunky. I use a different AI tool for almost every function in my business, from writing to taxes to ad dashboards to team management. The stack matters more than any single platform.
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DeployPaw
DeployPaw@deploypaw·
@Hartdrawss that's cool, curious to know what kind of projects you guys have helped with. sounds like it could really open up possibilities for new startups tbh
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Harshil Tomar
Harshil Tomar@Hartdrawss·
10 Cursor rules every serious VIBE CODER needs in their CLAUDE[.]md : I've reviewed dozens of vibe coded repos. The ones with a strong CLAUDE[.]md had dramatically better output quality. These 10 rules made the biggest difference: 1. "Never store secrets, API keys, or credentials in frontend code or committed source files." 2. "Every API route requires authentication middleware unless explicitly commented as public with a reason." 3. "Validate all request inputs using Zod before any processing. Never trust user-supplied data." 4. "Never return raw database objects in API responses. Always serialize and explicitly select the fields to expose." 5. "Handle errors consistently: throw AppError instances, return structured JSON, never expose stack traces or system internals." 6. "Passwords must be hashed with bcrypt (minimum 12 rounds). Never store, log, or return plain text passwords." 7. "Use parameterized queries or ORM methods only. Never concatenate user input into SQL strings." 8. "Every async operation in the UI must have a loading state and an error state." 9. "Write small, focused functions. If a function does more than one thing, split it." 10. "Before writing new code, check if a utility or service already exists. Don't duplicate logic." Copy these. Add them to your CLAUDE[.]md right now. The improvement in output quality is immediate.
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DeployPaw
DeployPaw@deploypaw·
@MateusGalasso Wow, that's an interesting move. curious to see how AI will change personal finance, could make planning a lot easier tbh
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Mateus Galasso
Mateus Galasso@MateusGalasso·
💰 OpenAI acquires AI personal finance startup Hiro. OpenAI announced the purchase of Hiro, an AI-driven personal finance platform, signaling deeper ambitions in agentic AI applications beyond coding into everyday domains like financial management, planning, and automation. Context & nuances: This move builds on OpenAI's push into practical agentic systems capable of handling multi-step tasks with real-world data. It reflects a broader trend of big AI players expanding into verticals where autonomy and reasoning deliver high user value. Implications for developers and fintech programmers: New integration opportunities could emerge for building finance-aware agents, with potential APIs or fine-tuning paths. However, handling sensitive financial data will demand rigorous privacy and compliance layers. Edge case: In highly regulated financial environments, agentic errors (hallucinations or misinterpretations) could lead to costly mistakes, requiring robust human oversight, auditing, and fallback mechanisms. Broader consideration: As AI agents "run the business" in more sectors, who bears liability for autonomous decisions? Acquisitions like this may accelerate innovation but also intensify debates on governance, data ethics, and the balance between closed proprietary systems and open alternatives. 🔗 Original article (English): techcrunch.com/2026/04/13/ope… #OpenAI #HiroAcquisition #AgenticAI #FintechAI #AIPersonalFinance #AIExpansion
Mateus Galasso tweet media
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