Trending Feed
12 posts loaded

“In the next six months, we are looking at how we can merge the agent loop with the training loop.” : Richmond Alake, Director of AI Developer Experience at Oracle. Your AI model could learn from everything it does, retrain itself, and come back sharper two weeks later. Source: AI Native Dev [Richmond Alake, Oracle, Entrepreneurship, Entrepreneur, Business, Startup] #richmondalake #oracle #entrepreneurship #business #startup

Prompt engineers: the models got smarter and the job description just changed under your feet. Richmond Alake says the focus has shifted from how you write the prompt to the information you put in. That’s context engineering. And according to him, it’s becoming its own dedicated role. The job title is still being figured out. But the job? Very real. Source: AI Native Dev [Richmond Alake, Oracle, Entrepreneurship, Entrepreneur, Business, Startup] #richmondalake #oracle #entrepreneurship #business #startup

Most agent failures are a memory problem. Richmond Alake (Director of AI Developer Experience at Oracle) says it best: we’d never throw a new developer into a codebase with zero documentation. So why do we keep doing it to our agents? 3 things from the AI Native Dev episode with Richmond that will change how you think about agents: 1. Your agent can become its own scribe. As it moves through Slack, email, your Google Workspace, it documents what worked and stores it as a skill. 2. File system storage gets you moving fast. But fast and secure are not the same thing. Oracle has spent four decades learning that difference the hard way so you don’t have to. 3. The question is shifting. It’s no longer “How do I get the right context into my agent?” It’s “How do I pull the right signal out of the agent loop and feed it back into the model?” Source: AI Native Dev [Richmond Alake, Oracle, Entrepreneurship, Entrepreneur, Business, Startup] #richmondalake #oracle #entrepreneurship #business #startup

Most people know Oracle as a big tech company, but few understand what it really does. Oracle is one of the world’s largest enterprise software companies, best known for its database technology, cloud computing services, and business software used by governments, banks, and Fortune 500 companies. From powering massive databases to offering Oracle Cloud Infrastructure (OCI) that competes with AWS and Microsoft Azure, Oracle helps companies store, manage, and analyze huge amounts of data. Their software also runs critical operations like finance, HR, supply chains, and enterprise resource planning (ERP) for thousands of global organizations. In simple terms: Oracle builds the digital backbone that large businesses run on. If you’ve ever wondered how big companies manage billions of records and transactions every day, Oracle is one of the key players making it possible. #oracle #software #finance

The AI Hierarchy: Part 1 If you are building an AI app that just “prompts” better, you aren’t a founder. You are a tenant. And in this market, the landlords are getting restless. 1. Infrastructure is Everything • The world is splitting into those who own the compute and those who rent it. • If you don’t own the weights or the hardware, you’re building on shifting sand. 2. The Rent is Variable • OpenAI and the hyperscalers control your margins. • They can change the rules, the pricing, or the access overnight. 3. The R&D Trap • Speed without ownership is just free research for the landlords. • If you don’t have leverage, you are just a visitor in their ecosystem. The Bottom Line In this cycle, ownership is the only durable moat. Stop being a tenant and start building for leverage. Want to know why the big corporations aren’t buying into the hype? Check out Part 2 on the Dismissive camp. 🌊 #ai #business #startup #entrepreneurship #businessmindset

Scale until you break, or until you go broke. Anthropic's CEO Just admitted the terrifying math behind AI dominance: you have to bet the entire company to stay in the race. he describes a scenario where spending $5 Trillion on compute is necessary just to keep up, but if revenue growth misses by even a single year, " There is no force on Earth" that can save them from bankruptcy. This isn't just about AI; its the ultimate lesson in high-stakes entrepreneurship. At the highest level, you aren't just managing profit margins; you are managing survival against exponential curves. If you stop spending, you become irrelevant. If you spend too much and miss the timing, you die. The biggest players aren't playing it safe—they are playing a game of chicken with bankruptcy every single day. Follow ⏩ @flywealthco to learn something new everyday! #businessstrategy #artificialintelligence #startupgrowth #calculatedrisk #entrepreneurship

How do you budget for a team that scales by the token? How do you forecast costs when model pricing shifts overnight? How do you decide between 6x the cost for 2.5x the speed? These aren’t theoretical questions anymore; they’re operational reality for teams running agents in production. Guy Podjarny and Simon Maple discuss the strategies teams are using to navigate agent economics in production. Source: AI Native Dev [AI, Entrepreneurship, Entrepreneur, Business, Startup] #ai #entrepreneurship #business #startup

Don’t have the funds for a consultant, Use Claude AI & type: “Act as a startup advisor. Identify weaknesses in this offer.” Within seconds, Claude provided actionable insights I could implement immediately including gaps in pricing, positioning, and customer messaging. It’s like having a $300/hr consultant… without the overhead. Smart founders and entrepreneurs use Claude for: • Business model analysis • Startup strategy validation • Customer objection simulation • Pricing and offer refinement • AI-powered decision-making If you want to scale smarter and test your business ideas with AI, this tool belongs in your stack. #ClaudeAI #AIForBusiness #StartupTools #EntrepreneurAI #BusinessStrategy

95% of all AI projects fail. Here's why 🚨 MIT did a study a few months ago and found that 95% of AI projects fail. I wasn't surprised. Here's how most AI projects get planned: A CEO or founder sits in a boardroom and says "It'd be a great idea if we do this." Then they roll it out. And nothing happens. Nothing happens for two reasons: 1. Your people are scared. They're rightfully fearful this thing is going to take away their job. So instead of helping, they fight it and don't use it. 2. Boardrooms don't know how the business actually runs. AI projects need to go bottom-up, not top-down. This isn't about ideation sessions and whiteboards. This is about empowering the people in your organization to understand AI, use AI, and compound wins for everybody. Take that mentality bottom-up, not top-down. You'll start seeing results tomorrow. 🎯 #AI #AIimplementation #entrepreneur #entrepreneurship #businessstrategy #AIprojects #leadership #bottomup #AItools #businessowner #organizationalchange #AIforBusiness #changemanagement #entrepreneurmindset #businessgrowth

This makes me wonder about non-AI Oracle tech. Are they cutting investments, or was there just bloat? What technologies are impacted, besides the people? #Oracle #Technology #AI #Business #Innovation #TechTrends #FutureOfTech #Investment

Stop trying to find one AI that does everything. The real breakthrough isn’t one massive model; it’s a team of 10 to 20 smaller agents. Instead of forcing one system to handle every complex task, each agent focuses on a narrow specialty and reports back to a central hub. This shift from complexity to collaboration is how we actually scale AI in business. 🚀
Top Creators
Most active in #ai-developers
Reels Graph Intelligence.
Advanced mapping of high-affinity Instagram Reels semantic patterns identified within the #ai-developers ecosystem.
Strategic Implementation
Our semantic engine has identified these specific pattern clusters as high-affinity matches for #ai-developers. Integrated usage of #ai-developers with strategic Reels tags like #ai software development trends and #ai future developments is statistically linked to a significant increase in initial Reels discovery velocity.
In-Depth Hashtag Analysis: #ai-developers
Expert Review • June 4, 2026 • Based on 12 Reels
Executive Overview
#ai-developers is an actively used Instagram hashtag. Across the 12 trending reels analyzed on this page, the content has accumulated a combined total of 62,673 views— demonstrating healthy engagement activity within this content vertical. The top creator ecosystem features 8 notable accounts, led by @growasentrepreneurs with 44,021 total views. The hashtag's semantic network includes 100 related keywords such as #ai software development trends, #ai future developments, #anthropic ai skill development, indicating its position within a broader content cluster.
Viewership & Reach Analysis
The 12 reels in this dataset have generated a combined 62,673 views, translating to an average of 5,223 views per reel. This viewership level reflects a more community-focused reach, where content primarily circulates within a dedicated audience group.
The highest-performing reel in this dataset received 13,665 views. This viral outlier performance is 262% of the average reel performance in this set. This significant gap between the top performer and the average highlights the "viral lottery" nature of this hashtag — breakout hits can achieve massive scale.
Content Overview & Top Creators
The #ai-developers ecosystem is dominated by short-form video content (Reels), aligning with Instagram's algorithmic preference for video-first distribution. There are 8 distinct accounts contributing to the trending feed. The top creator, @growasentrepreneurs, has contributed 4 reels with a total viewership of 44,021. The top three creators — @growasentrepreneurs, @flywealthco, and @chriswesst — together account for 93.2% of the total views in this dataset. The semantic network of #ai-developers extends across 100 related hashtags, including #ai software development trends, #ai future developments, #anthropic ai skill development, #ai tools for development. Creators often use these tags together to reach overlapping audiences.
Discoverability & Reach Potential
The discoverability metrics for #ai-developers indicate an active content ecosystem. The average of 5,223 views per reel demonstrates consistent audience reach. For creators using #ai-developers, authentic, niche-specific content that adds real value tends to perform well.
Analyst Verdict
#ai-developers demonstrates the hallmarks of a steadily growing Instagram hashtag. With an average of 5,223 views per reel, the viewership metrics position this hashtag as a growing content category. Creators like @growasentrepreneurs and @flywealthco are leading the charge, setting viewership benchmarks for the community.
Frequently Asked Questions
Everything about #ai-developers on Instagram
Global Reels Trends
Explore high-velocity Instagram Reels hashtags currently shaping global discovery.









