Top Linkedin Trends - updated daily

I'm the most average bloke ever. - I don't wake up at 5am. - I have not been to the gym in ages. - I don't have a million dollars in my bank. Hence my LinkedIn strategy is pretty 'average' too: - Post when you can. - Give more than you take. - Engage with whomever you feel like. But this "average" strategy has literally changed my life. So if you are afraid to post because you think your story, strategy or achievements are "average". I suggest you try anyway. Cos Linkedin's not about being exceptional. It's about being YOU ❤️ P.S Yes I have rabbits. Got any pets? Show meee below!

5 countries in 10 days. All thanks to LinkedIn. (No, this is not a "me, me, me" post → it's a lesson) 1. When you share freely, people come 2. When you share consistently, they stay 3. When you simplify challenges, they trust 4. When you advise with precision, they apply 5. When you care, you create "real" connections 6. When you promise, they have "real" expectations 7. When you inspire action, they receive "real" results And if you do it all over time, your world starts to expand. You can take your "brand" offline. My new world? • Conferences and keynotes at big stages • Speaking and teaching at major universities • B2B training & workshops for amazing companies And it all started here. On this very platform. Dear LinkedIn friend, don't sleep on the power of your posts here. Your knowledge. And your impact. Because this only ends one way → you win. "The more you give, the more you get." ❤️ I want to see you win, friend. Good luck! P.S. Invite me to your city/country, please. My son wants to travel to new places this year :) We're ready.

Stop wasting time searching for jobs on Fiverr! These 10 Websites can help you land a job in 30 days: 1. Kickresume Create your resume in 60 seconds with Kickresume https://lnkd.in/etdnQ-iz 2. Aragon: Turn your selfies into stunning professional headshots. https://www.aragon.ai/ 3. TheJobForMe: Get Personalized Job Recommendations in minutes. Over 100,000+ dream careers discovered only in 2023. https://lnkd.in/dyrzf-Uz 4. Authentic Jobs A resource for web professionals, boasting clients from The New York Times to Apple and Tesla. http://authenticjobs.com 5. Flexjobs: You can find remote jobs near you or anywhere in the world. flexjobs.com 6. Wellfound Where startups and job seekers connect. 150K Tech Jobs and 27K companies. https://wellfound.com 7. Hubstaff Talents It is known for quality remote jobs with top talent. Offers range from low hourly rates to six-figure salaries, catering to those seeking a side business as well. http://talent.hubstaff.com 8. Yoodli AI Crack your job interviews with private, real-time speech coaching. https://app.yoodli.ai 9. MetaviewAI AI notetaker that generates interview notes in seconds. https://metaview.ai 10. FinalScout Turn Linkedin into your email collection wirh this AI Finding Tool. https://finalscout.com Share yout thoughts in the comments. Don't forget to follow Hasan Toor ✪ #jobpreparation #remotejobs #websites #interviewquestions #interviewpreparation

This is the best way to create your AI clone. Step 1. No install needed. Just the internet. 🗹 Search “Synthesia” on Google. 🗹 Create an account & go to “Avatars”. 🗹 Click on “Create avatar" before step 2. Step 2. Record yourself. 🗹 You record 3 different videos. 🗹 You say exactly what they ask you to. 🗹 Look at the camera as much as possible. Step 3. Upload it on Synthesia. 🗹 Upload the 3 videos. 🗹 Give your avatar a name. 🗹 Record a video consent of yourself. Step 4. Explore Synthesia. 🗹 Make your avatar say whatever. 🗹 120+ languages supported by Synthesia. 🗹 150+ other AI avatars are available. Final step. Watch me doing it live. You're still confused about the process. So I made a private video about the "how". You want to receive it. So follow these steps: 1. Comment "avatar". 2. Repost this post (without any text). 3. Send me a message so I can send you the link.

New short course on Building Applications with Vector Databases, taught by Pinecone's board member Tim Tully! At the heart of a vector database is the ability to store a collection of vectors and then query against that, meaning input a new vector and find similar ones. This is useful for many AI applications. In this course, you'll learn how to use vector databases to build: (i) Semantic Search: Create a text search tool that goes beyond keyword matching, and instead focuses on the meaning of content.  (ii) RAG (retrieval augmented generation): Enhance your LLM output by incorporating context from sources the model wasn't trained on. (iii) Recommender System: Combine semantic search and RAG to recommend topics, and demonstrate it with a news article recommender. (iv) Hybrid Search: Build an application that finds items using both images and descriptive text -- by combining both sparse and dense vector representations of the data -- using an eCommerce dataset as an example. (v) Image Similarity: Use image vector embeddings to create an app to compare facial features, using a database of public figures to determine the likeness between them. (vi) Anomaly Detection: Build an anomaly detection app that identifies unusual patterns in network communication logs. I hope you’ll enjoy learning how to build all of these types of applications! Please sign up here: https://lnkd.in/gwy52pbG

AI competition is weird. But this goes deeper than "Which LLM is best??" or companies on the left trying back the winning horse. Behind the scenes is a cloud war and a chip war - that's where the money is. Let’s take a look: ++++++++++++++++++++++++++++++ 1. This is a cloud war. Let’s take Anthropic, for example. They’re committing to use AWS as its primary cloud provider. That could translate into billions in revenue for AWS as Anthropic scales up. By investing in Anthropic and its large language model Claude, Amazon is positioning itself to reap the benefits of the growing AI market. As Claude gains popularity and drives more businesses to adopt AI solutions, it funnels money back to Amazon through increased usage of AWS services. This strategic investment not only strengthens Amazon's position in the AI space but also creates a virtuous cycle of growth for its cloud business. Guys - everyone is doing this. Investing huge amounts and getting it back in cloud services. That should command our attention. The war between MS Azure, Google Cloud and AWS is worth billions and it’s only going to get bigger. ++++++++++++++++++++++++++++++ 2. This is a chip war. Chips are everything - they’re the engines. And up till now Nvidia has ruled the world. But let’s just look at the last few weeks: Nvidia: The company announced the H200 GPU on November 13. This new chip is designed for AI work and upgrades the H100 with 1.4x more memory bandwidth and 1.8x more memory capacity. The first H200 chips are expected to be released in the 2nd quarter of 2024. Microsoft: Microsoft unveiled the Maia 100 artificial intelligence chip on November 15. The chip is designed for AI tasks and generative AI. The company hasn’t provided a specific timeline for the release of the Maia 100, but it is expected to arrive in early 2024 Amazon: Amazon Web Services (AWS) announced the next generation of two AWS-designed chip families—AWS Graviton4 and AWS Trainium2—on November 28. These chips are designed for a broad range of customer workloads, including ML and AI applications - that was at their big show in Vegas. And Google has jumped in to this race as well. So what's happening in this graphic? These investments are hedges. They're land grabs for cloud services They're trying to get their chips to be the dominant chips. Gonna be an interesting year ahead.

A simple life hack: Give more than you take. When you invest your time, money and energy into other people, the world finds a way to pay you back 100x anyway. If you're only making or taking, today's a great day to start giving. ~~~ If you found this helpful, reshare this post to your network and follow me Justin Welsh for content daily at 8:15a and 11:15p EST.

Looking for a good paycheck isn't a bad thing.   Money matters when finding a job.   Having enough income means stability for you and your family.   It lets you plan for the future.   Sure, money shouldn't be the only thing.   Job satisfaction counts too.   Culture. Career growth. Meaning in our work.   (I post about these things often)   But what you get paid will always be a top factor.   Don't ever feel guilty about prioritizing financial security. ---- Repost with your network to share this message ♻ And give me a follow for more posts like this. How important should money be when considering a job? Share your thoughts below.

My base salary progression in the first 6 years of my career: Year 1: 0% increase (New job) Year 2: 11% increase (New job) Year 3: 20% increase (Same job) Year 4: 33% increase (New Job) Year 5: 3% increase (Same Job) Year 6: 73% increase (New Job) Invest in yourself but don’t forget to collect on the other side. It's your job to get for what you deserve. Even if that means moving to a new role or company. As your value increases, so should your pay check. Don't settle.

Startup founders are being manipulated by most marketing ‘consultants’. - Tactical inputs - No brand building - Pure performance marketing  - Focus on topical & meme ‘marketing’ Tactical marketing → Temporary brands This is, by definition, shortsighted brand growth. There’s another option… Strategic brand narratives: - Identify your TG - Identify their pain points - Identify how your brand can solve these - Create a compelling brand story about this approach No more uncertainty No wondering “what to post next?” No confusion about why your brand exists Goodbye, tactical marketing. Hello, long-lasting brands. #marketing #business #brands

I see too many people trying to “build a personal brand”. A personal brand isn’t built, it’s attracted. Be yourself. Share interesting ideas. Be honest and transparent. People do business with REAL PEOPLE.

Brands often strive to fit into the boring 'good guy' image. There are so many captivating and iconic personalities to draw from. There's more than just their talent or fame; it's about the powerful stories they embody. These aren't just random success tales; they're a testament to the enduring wisdom of Carl Jung's archetypes. From Tupac Shakur's defiant spirit as the Outlaw to Beyoncé's allure as the Lover, each icon brings to life a timeless archetype. They craft narratives that resonate deeply and universally. Why do these figures captivate us so? It's not just charisma; it's their embodiment of archetypes that have shaped human storytelling for centuries. Can your brand do the same? This post begins to uncover how these legends harness the power of ancient archetypes to become more than just stars – but symbols of a narrative much greater than themselves. This is part of my 'Branding While Black' series. For more insights: Visit my profile Follow for the latest Tap the bell 🔔 Let's explore the psychological roots of brand stardom together!

Ad of the day—from the least sexy of brands and products. Creativity is the number one controllable way to make ads profitable for your product. It's not magically tweaking knobs in the dashboard. It's not the latest "growth hack." It's creating something that: 1. Grabs attention 2. Evokes an emotional response 3. Motivates to take action This is why I stuff my carousels with upside-down heads and angry crows. It's the completely illogical stuff that works. So get creative and be illogical.

Sometimes all you need is... A simple and visual idea. Lovely stuff. #advertising

In PR we work with "earned media". Yes, we earn it, we don't pay for it. Now this tiny detail changes the whole rule of the game Why? Because you're not deserving of attention UNLESS your story is good enough. You need to earn your spot in the story, interview, or feature about your organization. On the other hand, advertising is known as "paid media" or "guaranteed media." When you buy an ad, you're sure to get a spot, and you control its details. Simple Do you want to know if your story can make it to the headlines? Think as a journalist. Here are the 10 elements of newsworthiness. Often considered by journalists and PR professionals to determine if a story is likely to make headlines: 1 - Timeliness: Is the story current and relevant to current events? 2- Proximity: How close is the story to the audience geographically or emotionally? 3- Conflict/Controversy: Does the story involve conflict, controversy, or a contrasting viewpoint? 4- Prominence: Are there notable individuals, celebrities, or influential figures involved in the story? 5- Human Interest: Does the story evoke emotions, touch on human experiences, or tell a compelling personal narrative? 6- Impact/Consequence: What is the potential impact or consequence of the story on the audience or community? 7- Unusualness/Rarity: Is the story unique, unusual, or rare in some way? 8 -Currency/Relevance: How well does the story align with current trends, issues, or societal concerns? 9 - Usefulness/Educational Value: Does the story provide information that is helpful, educational, or adds value to the audience? 10: Trend/Innovation: Does the story reflect a current trend or highlight innovative ideas, products, or approaches? If you want to build trust and value, go for PR. If you want a guaranteed placement where you have full control over the narrative, buy an ad. The choice between earned and paid media shows different approaches to communication and reputation-building. If earned media is your preferred choice, follow those elements above, you can thank me later ;) #PublicRelations #PRTips #Journalism

When you're optimizing outbound campaigns, there's two levers you can usually pull on to create a better campaign. The list and the message. Here's a couple ways we think about when to work on one versus the other and what to do about it. This is also assuming your emails are being seen by your audience with a 40+% open rate. When is the list the problem? Usually when we are getting very few responses (even negative responses) or you have tried various selling propositions and nothing has worked. Then we go back to the drawing board. How can we build a list of people who have this issue more? Are there any types of people that see this issue more? Do they say anything different on their LinkedIn profiles? Is there another trigger we can find. For instance, one time we were targeting founders and the campaign was working ok. We did a little change and started targeting founders that have never been founders before and we saw a huge uptick in responses. If we are getting a lot of negative responses and the when we manually review the contacts, they look good, we work on the message. If someone were to tell me that they had a tool that could find emails for less money than anyone else, I wouldn't care. We already have one of the best priced high quality tools in our tech stack. If someone were to tell me that they could find emails no one else could find, I'd take that meeting every time. Same product, just with a different angle. Your prospects might be seeing it that way as well. Try changing the angle at which you present your offering.

+65 8618 9870 / [email protected] 5 reasons I want you to cold call/email me (if you want). 👇 You might think: ”Why is he sharing his contact details on LinkedIn?” As a sales leader, I constantly want to: 1. Learn new cold email/cold calling approaches. I’m a student for life, I elevate my game daily. 2. Identify new tools that could be a good fit with my current stack 3. Have a better understanding of the market evolution. 4. Share feedback 5. Discuss Sales/BD with other sales passionate --- It’s a fun way to raise the standards and start a dialog together. In my past 10 years in sales, I’ve grown my sales skills by: 1. Watching step-by-step YT videos 2. Reading LinkedIn posts/tweets 3. Doing masterclasses 4. Having 1-1 conversations + Practice with other Sales / Marketers 5. Applying the learning, failing, trying again etc... My 4th point is the only one you can’t do on your own. Practicing what we preach and learning from others are essential --- PS. I’m in Singapore, check our respective time difference before calling me ;) (I usually pick up the phone in the afternoon only) PS2: I’m always on “do not disturb”, If you want to get me you’ve to call me twice PS3: I’ll document my learnings in another post (recap of the convos + cold emails received) 😊

Stop sending cold emails. Most are headed straight to the bin. Here's a better way to approach profs for PhD & postdoc positions👇 Here's a little-known truth: 💡98% of cold emails to professors about research positions are a wasted effort. Not because they aren't well-intentioned, but because they're poorly executed. Cold emailing can damage relationships before they even start, burning bridges instead of building them. Sounds familiar? Don't fret. Here's a 5-step strategy I wish someone had shared with me when I was in your shoes: 1️⃣ Engage with their work: 👉 Find professors in your field whose research you admire. Read their papers, learn about their work, and engage with them on social media. 2️⃣ Acknowledge their work: 👉 Send a short email expressing admiration for their research. 👉 Highlight specific aspects that impressed you and how it connects to your own work. 3️⃣ Add Value: 👉 Offer something of value. Share relevant articles or resources. 👉 The aim is to build familiarity and trust, not to ask for a position. 4️⃣ Seek Collaboration: 👉 Once you have an ongoing correspondence, look for an opportunity to collaborate. 💡Asking them to provide feedback on your work can be a good starting point. 5️⃣ Ask: 👉 Only after you've established a solid working relationship, inquire about potential positions. Remember, no one likes to be cold-emailed. Instead, build real relationships. 💡Give, give, give more. Then, and only then, ask. Don't just reach out. Stand out. What is your approach to connecting with professors for research positions? 🔄 repost to help a friend :) -------------------- If you liked this, join my newsletter that teaches you how to secure a tenure-tack job and navigate academia as an early career researcher: https://lnkd.in/eNAjgrY9

ChatGPT's Dirty Little Secret? 😱 We Just Secured It. Introducing GPTGuard.🤯 Tired of whispering secrets to ChatGPT, hoping the AI gods won't leak them?  😔 We've all been there. But fear not, privacy warriors! GPTGuard is here to shield your chat from prying eyes and rogue algorithms. ❌ Here's how we're rewriting the rules of AI interaction:🫨 ✅Masking Magic: Our cutting-edge technology cloaks your sensitive data in a secure cloak of synthetic information. Think of it like a privacy invisibility cloak for your words. ‍♀️ ✅Context Chameleon: Don't worry, GPTGuard doesn't play dumb. It's smart enough to understand the context of your masked data, ensuring flawless, insightful conversations. ✨ ✅Peace of Mind Playground: Finally, unleash your creativity and curiosity without the fear of exposure. Brainstorm sensitive projects, discuss confidential ideas, and explore the depths of your imagination, all protected by GPTGuard's impenetrable shield. ️ Forget the days of digital paranoia. GPTGuard is your passport to a secure, private AI world. 🔥 Ready to ditch the data dread? Head over to https://www.gptguard.ai/ and claim your 14-day free trial! 🆓 P.S. Share this post and spread the word! Let's make secure AI a reality for everyone. P.S.S support us here : https://lnkd.in/dQcdSUJ8 #ChatGPT #Privacy #Security #AI #Innovation #ProductHunt #GPTGuard #FutureOfAI

How to Make Difficult Decisions: 5 lessons on decision-making with ChatGPT ⤵ ---- If you found this helpful, consider resharing ♻️ and follow me Dennis Tröger for more content. ---- #personaldevelopment #decisionmaking #careeradvice #motivation #leadership

The ultimate guide to using ChatGPT for SEO! 17 powerful SEO prompts to cover: 1. Keyword research 2. Competitive analysis 3. On-page SEO 4. Content optimization 5. Technical SEO 6. Content creation 📌 A link to the free Google Docs of the prompts is in the comments. #ai #chatgpt #seo #chatgptprompts #searchengineoptimization

On Monday, we upgraded one of our client's IaC codebases from Terraform 1.5.7 to #OpenTofu v1.6.1!!! 🎉 🥳 💥 🍜 Here are some interesting stats about this client's infrastructure + IaC Codebase: 1. In this repo, there is 39,764 lines of Terraform code across 485 `*.tf` files. 2. There are 53 root modules in the codebase. 3. There are 90 root module instances (read "state files") 4. If we add up all the resources in those state files, there is ~2400 resources under management. How many errors did we run into across all that terraform? How many changes to the actual terraform code did we need to make to accommodate tofu? NONE. ZERO. 🎉 ❤️ I'm stoked on these stats! Tofu went GA and successfully delivered on their mission: A zero-changes-required alternative to Terraform that is fully open source. That's awesome and props to the hardworking community and contributors who made it happen! 🙌 We'll have a post on this upgrade hitting the Masterpoint blog coming soon! If you're interested in doing this at your org so you're not stuck on TFC then reach out and we'd be happy to chat! #terraform #iac #infrastructure #platforms #platformengineering #tofu #infra

The #1 thing I wish I knew when I started with Salesforce Marketing Cloud 8 years ago? Just how the data model works. 😬 --- When I started working with SFMC 8 years (or so?) ago, like many I had been working with Salesforce "Core" (the CRM, Sales Cloud, Service Cloud, force.com...). I also worked with Salesforce Pardot (now called "Salesforce Marketing Cloud Account Engagement" 🤭). However, SFMC works very differently. Here's what I wish I knew... --- 🔄 Relational Data from Core Data flowing in from Salesforce Core is relational. Understanding how this links to SFMC is key to leveraging customer info effectively. Usually, your Salesforce Core (CRM, force.com...) contains way more objects than you need Data Extensions (DEs) in SFMC. As a marketer, you may also not be familiar with SF Core "lookups" (a bit like Excel lookups). Understanding this is key. AND 🔨 Flexibility with Data Extensions SFMC allows you to create custom Data Extensions. This is your playground for structuring data exactly how you need it. This flexibilty comes at a price... many turn their environment in a mess. Take a step back once in a while to review how you think about DEs in light of campaigns and journeys. Use naming conventions and folder structure! AND 🛠️ Define in Data Designer/Contact Builder Use these tools to structure your data model. It pays off, especially for segmentation, personalization, and reporting. For instance, some Journey Builder-driven personalization only works if you have related your DEs in Data Designer. AND 📊 Flatten Tables with SQL To make your data actionable, sometimes you need to flatten it. SQL is your friend here, transforming complex data relationships into a format ready for targeted marketing. AND 🎯 Data-Driven Personalization This is very much linked to the previous point... The more precise your data, the less you rely on complexities like AMPScript. Get the data right, and even your HTML development becomes more straightforward. AND 🔍 Reporting on Data Views SFMC has hidden gems like Data Views (and also the Send Log! 💡). These 'invisible' Data Extensions are crucial for deep-dive analytics. AND 🚀 Consistent Reporting via Journey Builder Launch all sends through Journey Builder for uniform reporting. It makes tracking and comparing campaign performance a breeze. ... Getting to grips with SFMC's data model isn't just about managing data; it’s about transforming it into a powerful marketing tool. #salesforcemarketingcloud --- PS: Of course, during my journey, I also learned that many marketers struggle with SQL. And even if you know SQL (I taught myself), it's not particularly fast, given you need to create DEs manually, debugging is hard, you end up being the bottleneck for non-tech marketers,... That's why we came up with DESelect Segment a few years ago, and been rocking it since! 🚀 More info here: www.deselect.com/segment

Data science relies on working with different types of data systems and architecture. For data scientists or analysts just getting started, some of the terminology can be confusing. In this post, we’ll dive into definitions and examples for five fundamental data science concepts: - 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲: A centralized repository that stores huge amounts of raw, unstructured data in native formats. Provides flexible, scalable storage for diverse analytics and ML needs. - 𝗗𝗮𝘁𝗮 𝗠𝗮𝗿𝘁: A subset of company data focused on the needs of a specific team or use case. Enables access to tailored data without irrelevant info. - 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Automates the flow and transformation of data from sources to destinations. Ingests, processes, and routes data for downstream uses. - 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲: Integrates data from multiple sources into one unified repository. Structured for querying, analysis, and reporting. Provides a single source of truth. - 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: The accuracy, completeness, consistency, and relevance of data. Essential for reliable analytics and decisions. - 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲: Combines data lakes and warehouses. Stores raw data like a lake along with preparing and structuring data like a warehouse. Provides flexibility for diverse data and uses. 👉 Follow Gina Acosta Gutiérrez 👩🏻‍💻 for more resources! ➡ Get the latest AI news, tools, tutorials and guides on using popular AI tools for FREE here: www.joinhorizon.ai #python #data #database #datascience #machinelearning #ai #artificialintelligence #programming #dataanalysis #analytics #coding #tech #developer #cloudcomputing #technology