Peter Matt Affiliate Marketing

19K posts

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Peter Matt Affiliate Marketing

Peter Matt Affiliate Marketing

@pedmad

🍀Helping people quit the 9-5 💲💲$20K+ Affiliate Marketer 🎥DM me ''START'' To Start Earning 👇BOOK YOUR FREE AI CALL BELOW👇

USA Katılım Temmuz 2009
4.2K Takip Edilen2.6K Takipçiler
Amelia Brooks
Amelia Brooks@Amelia_With_Ai·
Kids animation is the most underrated money niche on YouTube 💸 No face. No voice needed. No trends. Just stories + consistency. One channel: 721K subs 24 videos This is not luck. It’s niche selection. Want the blueprint? Comment “KIDS” 👇 Follow me
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Peter Matt Affiliate Marketing
Claude is a money-making machine if you know how to use it. Here's the ultimate guide in English. Prompts, skills, Claude Code, monetization… it has everything. FREE for 24 hours only! To get it: 1. Like this post 2. Comment "4.6" 3. Follow me to receive a DM
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Polash Khan
Polash Khan@polash_ai·
Claude is a money-making machine if you know how to use it. Here's the ultimate guide in English. Prompts, skills, Claude Code, monetization… it has everything. FREE for 24 hours only! To get it: 1. Like this post 2. Comment "4.6" 3. Follow me to receive a DM
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Peter Matt Affiliate Marketing
7.Tavily (Free Tier) AI search API designed for AI agents. Offers free credits to get started. 👉 tavily.com 8.ElevenLabs (Free Tier) AI voice generator with free monthly credits. High-quality voice output. 👉 elevenlabs.io
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Peter Matt Affiliate Marketing
5.OpenRouter (Free Models) Access multiple AI models in one place. Includes free model options for developers. 👉 openrouter.ai 6.Krea AI (Free Plan) Real-time AI image and video generation with free usage tier. 👉 krea.ai
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Peter Matt Affiliate Marketing
3.Playground AI Free AI image creator with daily generations. Easy to use for graphics and marketing. 👉 playgroundai.com 4.Flowise Open-source visual builder for AI workflows. You can run it locally and build AI apps. 👉 flowiseai.com
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AquilaNera
AquilaNera@aquilaneratr·
I also think @Firestarter_AI can help normalize community ownership that does not feel extractive. The worst version of ownership is when supporters are used for liquidity and attention, then discarded. The healthier version is when ownership gives you agency and dignity. You can participate. You can influence direction. You can benefit from growth, but you can also help create that growth. This is why I like token designs that reward contribution as much as capital. A community is not just money. It is time, care, and creativity. When the economy recognizes those inputs, people feel respected. That respect changes everything. It turns a group of holders into a group of partners. And partners do not abandon a project at the first sign of boredom. For creators, non extractive ownership is also a brand moat. It attracts better people. It creates better norms. It creates a culture you can build on for years. For supporters, it is a chance to be part of something that feels fair. Fairness is rare. And it is valuable. When fair ownership structures can plug into broader liquidity and still stay coherent across networks, the foundation enabling that reach is @OneAnalog.
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EU Fundamental Rights ➡️ #HumanRights
What were our December highlights? 🌟A report on effectively assessing high-risk AI 🌟Marking 25 years of the EU’s #FundamentalRights Charter 🌟A call for stronger rights safeguards in European lawmaking 🌟EU #ECHR accession Q&A And so much more...
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Rudolf Laine
Rudolf Laine@LRudL_·
This is particularly relevant now, as AI becomes more and more important, and there is a great incentive for Power to distract from ideas of freedom & agency & boundaries, and argue instead about what specific goal we should have the AI pursue
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Rudolf Laine
Rudolf Laine@LRudL_·
In "The Technology of Liberalism" (lnk at end), I argue we should differentially advance tech that promotes liberalism (something like: everyone have their own inviolable sphere within which they are free) - especially as tech makes it easier to violate boundaries & centralize
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U of Digital
U of Digital@UofDigital·
🎙️Ep. 6 of the AI Edge Podcast is live! This one’s an #AMA and delivers the answers to your 🔥’ing questions sent in. Shiv & Myles fire on all cylinders with their replies to: 🧠 Are agency jobs disappearing or coming back stronger? 🏗️ What does a fully AI-enabled agency actually look like? 🤖 Is ChatGPT’s “yes to everything” problem making us worse decision makers? 📉 Is AI improving or hurting decision quality over time? 👥 Can you really trust synthetic audiences? ⚙️ What AI workflows do Shiv and Myles actually use every day at U of Digital? No hype. No vendor fluff. Just the goods. 🍎 Apple: podcasts.apple.com/us/podcast/the… 🌐Spotify: open.spotify.com/show/0hcQEsEZ8…
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Druid AI |Best in Class Conversational AI Platform
AI agents handle account questions, onboarding steps, and service requests instantly, so your teams focus on complex cases and decisions that need judgment. 👇 Download the whitepaper in the comments.
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SUI Agents
SUI Agents@SUI_agents·
Forget bots. This is autonomous intelligence you control, own, and upgrade. Directly on-chain. 🚀 Deploy your first agent → dapp.suiagents.ai
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4tune🔺
4tune🔺@enutrof_11·
In my quest to up-skill and add to my web3 proficiencies, I decided to explore AI Automation and agency. After compiling insightful videos and materials in the past few weeks, I began my 𝘼𝙄 𝘼𝙐𝙏𝙊𝙈𝘼𝙏𝙄𝙊𝙉 journey. Definitely started with the basics and foundation of understanding all about AI Automation; > relevance and the problem it solves > what to expect > misconceptions > tools required Automation is simply the application of technology to execute repetitive tasks with little or no human intervention, enhancing efficiency. It ranges from simple to complex . AI automations applications irl include: fraud detection in banks and finance, email sorting and auto replies, bots for GCs etc. > The major tip I got today was to not start learning with AI but with WORKFLOWS (basic automations). You can’t build good AI Agents without understanding how Workflows function. > JSON is the primary language in AI Automation, so you must know how to read and understand it. > APIs & HTTP Requests also one of the most important skills that gives you great understanding. > LLM - Large Language Model, helps you understand how AI itself thinks but you’d also need a good knowledge of Context Engineering (quite different from Prompt Engineering) Automations are useless except they actually matter and solve the problem of repitition, time consumption, errors and/or scalability!! It’s early but it feels really interesting understanding more about AI and automations. We go again tomorrow
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