In May 2022, everything changed.

I was about to sell my 9-figure company. Retire. Focus on my kids.
Then the FTC showed up.

18 months. $15M gone.
A brutal lawsuit that almost ended everything.

But I didn’t quit.

I fought back—and built something better!

A first-of-its-kind AI-powered software that helps marketing and sales teams automatically audit and monitor their advertising for compliance.

And guess what? It’s working.

Because of the FTC, I stumbled onto something incredible—a solution that could protect thousands of businesses from the same challenges I faced.

📈 What I Do Now

Today, through my new holding company Ugentic AI, I invest in and partner with AI & Martech SaaS companies, using the same growth strategies that helped scale my past businesses.

💰 If you own an innovative AI or Martech SaaS company with a fully built-out product and are looking for an investor who can help you scale faster—let’s talk.



Anik Singal

A tech founder just gave his 1-year-old niece five shares of NVIDIA for her birthday.

Instead of toys, he printed a stock certificate, framed it, and brought it to her party.

Those five shares? Worth roughly $7,000 today.

What @founderkevin actually did:

Kevin D., a tech founder, bought five NVIDIA shares for his niece's first birthday.

He printed a certificate (ceremonial - stock certificates are digital now), framed it, and gave it as a birthday gift.

The post went viral in finance and tech circles because it combined sentimental value with financial foresight.

The NVIDIA numbers that matter:

Since 2019, NVIDIA's stock has jumped more than 3,000%.

The adjusted stock price in 2019 was under $45 per share. Today it's roughly $1,400 per share (after splits and adjustments).

As of October 2025, NVIDIA is the world's most valuable publicly traded company - recently surpassing $4.5 trillion in market capitalization.

That makes it larger than Apple, Microsoft, and Saudi Aramco.

Why NVIDIA specifically:

The company dominates the AI semiconductor market.
NVIDIA supplies the GPUs used in:

→ ChatGPT
→ Anthropic's Claude
→ Google DeepMind
→ Nearly every hyperscale data-center cluster

They're at the center of the AI boom - making the chips that power the infrastructure of artificial intelligence.

How gifting stocks to minors actually works:
In the United States, shares are typically transferred via custodial brokerage accounts (UGMA/UTMA).

The shares are held with parental oversight until the child reaches age 18 or 21, depending on the state.

The "certificate" Kevin printed is symbolic - modern brokerages issue digital ownership, not physical paper.

But the gesture is popular as a financial literacy tool.

The math on this gift:

Five NVIDIA shares at current prices are worth roughly $7,000.

Compare that to typical first birthday gifts - toys, clothes, books.

This is a fundamentally different way to mark a child's first year.

What we need to be realistic about:

NVIDIA's 3,000% rise is historical performance.
Past performance doesn't guarantee future returns.
The company's current valuation is heavily tied to expectations around AI chip demand and global data-center expansion.

If AI growth slows or competitors emerge, that valuation could change significantly.
.
.
This is a genuinely clever approach to starting a child's financial life.

The 3,000% return was exceptional - NVIDIA benefited from being at the center of the AI boom.

Future returns won't necessarily match past performance.

But the principle - giving equity instead of toys, starting financial education early, thinking in decades not years - that's sound.

Toys are temporary. Equity compounds.

3 hours ago | [YT] | 5

Anik Singal

BREAKING: Meta just expanded AI voice translation to 4 languages. And your Reels can now reach Hindi, Portuguese, Spanish, and English audiences - all with your cloned voice.

What Meta actually rolled out:

Meta first launched AI-powered voice translation for Reels in August 2025 with English ↔ Spanish.

Then on October 9, 2025, they expanded to include Hindi and Portuguese.

So right now: Four languages total - English, Spanish, Hindi, Portuguese.

How it actually works:

Before publishing a Reel, creators toggle "Translate voices with Meta AI" in the composer.

They can optionally enable lip-sync to align mouth movements with the translated audio.

The system replicates your voice tone and style in the translated version - so the dubbed audio sounds like you, not a robotic translator.

After translation, you preview it and can reject it before posting. If rejected, the original Reel stays unchanged.

What viewers actually see:

Translated Reels are labeled "Translated with Meta AI" - this labeling is required, not optional.

Viewers can disable translations and choose to view Reels in the original language.

The feature is free to use.

Who can actually use this:

- On Facebook: Creators with at least 1,000 followers
- On Instagram: All public accounts in markets where Meta AI is offered

Not everyone has access.

It depends on your follower count, account type, and location.

The technical limitations (these matter):

Currently supports up to TWO speakers per Reel maximum.

Works best when:

→ Speech is clear
→ You're facing the camera
→ Minimal background noise
→ No overlapping dialogue

If your Reel has three people talking, background music, or multiple conversations - the translation quality suffers or may not work.

What creators can track:

In Insights, you can view metrics segmented by language - seeing views per translation.

So you'll know if your English Reel is getting traction in Spanish-speaking markets versus Portuguese-speaking markets.

Here’s all the hype online which is obviously not true at all.

"Makes any creator instantly global" - This is aspirational, not reality.

Translation quality, context, idiomatic nuance, and market differences will affect reach.

Just because your Reel is translated doesn't mean it resonates culturally.

"No extra tools. No editing." - Technically true, but you still need to:

→ Review the translation
→ Possibly reject it if it's bad
→ Work within the system's limitations (clear audio, facing camera, etc.)
.
.
This lowers the barrier to linguistic reach for creators.

A creator speaking English can tap audiences in Hindi, Portuguese, or Spanish markets without producing separate localized versions.

That's significant for creators trying to expand internationally without doubling or tripling their production workload.

As more translated Reels get published, Meta refines their translation models and gathers cross-lingual usage data.

This improves their AI voice and lip-sync capabilities over time.

Every translated Reel is training data for better future translations.

The transparency elements:

The "Translated with Meta AI" label and viewer opt-out options are critical for trust.

Users know when they're watching translated content, not original audio.

This helps manage expectations and reduces potential for confusion or manipulation.

The risks that remain:

- AI may mistranslate idioms, tone, or context.
- Cultural meaning can get lost or misrendered.
- Nuanced language - sarcasm, humor, wordplay - often doesn't translate well through AI.
- Accuracy and bias in translation remain concerns, especially for complex or sensitive content.
- Meta launched AI voice translation for Reels with voice cloning and lip-sync across four languages.

Two-speaker maximum. Free to use. Requires 1,000 followers on Facebook or public account on Instagram.

It's not "instant global reach" but it is a genuine tool for expanding linguistic audience without extra production work.

The feature works within specific constraints. Understanding those constraints determines whether it's useful for your content.

Who’s excited to use this? Drop a “ME” in the comments.

5 days ago (edited) | [YT] | 22

Anik Singal

99% of people are using AI completely wrong. Most Have less than 9 words in their prompts and wonder why the results are trash.


Here's the TCREI framework that will transform your AI results:

T - Task: Be Crystal Clear

Don't say: "Write a video script" Say: "Act as a viral content creator. Write a 60-second TikTok script about productivity hacks for entrepreneurs. Structure with hook in first 3 seconds, 3 main tips, strong call-to-action. Use casual, energetic language for 25-35 year old business owners."

C - Context: Give Background
Add audience details, constraints, timing. Example: "Video posts during Monday commute. Audience struggles with time management, prefers actionable tips over theory. Keep conversational like talking to a friend."

R - References: Show Examples
Give 2-5 examples of the style/tone you want. Show the AI exactly what good looks like.

E - Evaluate & I - Iterate
Never take the first result. Always refine and improve.

Advanced Some Advanced Techniques:

1. Prompt Chaining: Break complex requests into layers

Don't: "Create Instagram reel about morning routines"
Do: 5 separate prompts building on each other


2. Meta-Prompting: Ask AI to improve your prompts "Analyze this prompt and suggest 5 improvements: [your prompt]"


3. Chain of Thought: Make it show reasoning "Explain your thought process step by step, then write 3 options with reasoning for each."

Common Mistakes That Kill Results:

- Being too vague - AI needs platform, length, audience, purpose
- Information overload - Break long prompts into clear sentences
- No examples - "Engaging tone" means nothing without examples
- Taking first result - Always iterate for better outputs

Technical Tips:

Be explicit with formatting requirements

Use "continue" if responses get cut off
The difference between AI beginners and pros isn't talent - it's having the right system.


Try the TCREI framework on one prompt today. Your results will be 10x better.

1 week ago | [YT] | 35

Anik Singal

OpenAI just dropped "Prompt Packs" with plug-and-play prompts for EVERY job role.

- Sales
- Customer Success
- Product
- Engineers
- Executives
- HR
- IT

And so much more.

There’s literally prompts for everything. Want it?

Link in the comment.

1 week ago (edited) | [YT] | 21

Anik Singal

Meta's new Chief AI Officer just told teenagers to abandon traditional coding. And Andrew Ng says that's "some of the worst career advice ever given."

Here's what's actually happening - and why both of them might be right.

What Alexandr Wang actually said:

Wang, now Meta's Chief AI Officer, went on the TBPN podcast and urged teenagers (around age 13) to spend as much time as possible on "vibe coding."

His definition: Using AI tools to generate code via natural language instructions rather than hand-writing every line.
His reasoning: In the next few years, AI could generate "all the code" he had ever written.

Learning to master prompt-driven code generation could become a major competitive edge.

Wang compared this moment to when early personal computing gave pioneers like Bill Gates a head start.

Andrew Ng's counterargument:

Ng argues this is actually the BEST time to learn to code - because AI amplifies the importance of knowing how to direct and guide these systems.

He's been vocal that discouraging people from learning programming due to AI is "some of the worst career advice ever given."

Ng also criticized the term "vibe coding" as misleading - coding with AI isn't casual or light work. It still requires deep thought and precision.

What both of them agree on (even if it's not obvious):

- Neither is saying traditional coding will vanish immediately.
- Wang is saying prompt-driven coding will take on more weight.
- Ng is warning not to abandon understanding how code actually works.
- The real debate: Where should your focus be?


Why Wang's advice matters:

Mastering AI-driven coding tools shifts the skill from hand-writing implementation to expressing intent, constraints, and higher-level structures.

The leverage moves up the stack.

Teens who get fluent in prompt-based code generation will likely outpace peers in: → Productivity → Rapid prototyping → Deploying AI-native solutions

Early adoption gaps may widen significantly.

Why Ng's pushback is critical:

Even if AI writes code, knowing how code works lets you:

→ Critique the output
→ Correct errors
→ Debug problems
→ Refine solutions

Without coding literacy, you become a consumer of AI output instead of a creator.

You lose the ability to understand what the AI is actually doing.

What "vibe coding" actually involves (it's not casual):

The name is misleading. Here's what it really requires:

→ Designing effective prompts
→ Orchestrating multiple modules
→ Engineering pipelines
→ Debugging AI-generated code
→ Implementing safety constraints
→ Understanding system architecture

This isn't "vibing" - it's a different form of engineering that still requires deep technical knowledge.

What's speculative in Wang's claim:

"AI might automate most coding jobs within five years" - This is controversial and unproven.
AI can generate a lot of code, but full automation of all software engineering is far from certain.

"Teens should dedicate ALL their time to one skill"
- This is extreme advice. People need balanced development, general thinking, breadth, and domain depth.

The skills that actually matter going forward:

Meta-skills are becoming differentiators:

→ Prompt design
→ System orchestration
→ AI tool literacy
→ Understanding when AI output is correct or flawed
→ Architecting solutions at a higher level

But these meta-skills still require understanding the fundamentals of what you're building.
.
.
Wang is right that AI-driven coding tools are changing the game. Early adopters will have an advantage.

Ng is right that abandoning coding fundamentals would be a mistake. You need to understand code to effectively work with AI that generates code.

The answer isn't "traditional coding" OR "vibe coding."

It's both.

Learn to code so you understand what's happening. Then learn to effectively use AI tools to amplify your output.

The practical advice for teenagers (or anyone learning to code):

Learn coding fundamentals. Understand how code works, what good code looks like, how to debug, how to architect systems.

Simultaneously, get fluent with AI coding tools. Learn to write effective prompts, orchestrate AI-generated code, and refine outputs.

Don't choose between traditional coding and AI-assisted coding. Master both.

1 week ago | [YT] | 30

Anik Singal

We just hit 4,300 affiliates for our September UgenticIQ launch and honestly, I'm blown away!

This is already shaping up to be the BIGGEST launch I've ever done in my 20+ year career.

We’ll easily cross 10,000 affiliates.

You know what? Instead of making you wait until September to start winning, let's have some fun RIGHT NOW.

I want to pick 3 killer winners and help you get prepared to absolutely DOMINATE this launch.

Here’s the prizes:

- 1st Prize: iPad
- 2nd Prize: Apple Watch
- 3rd Prize: Kindle

Here's how you can enter & win the contest:

Create your KILLER bonus package that you'll use to promote UgenticIQ in September.
No sales required. No complicated BS. Just show me your bonus package idea.

Think AI-focused masterclasses, exclusive training, coaching sessions, your best products, cheat sheets, or even your own virtual summit. Get creative!

I'm talking about bonuses that will make your audience say "Holy sh*t, I NEED to get this through [YOUR NAME]!"

The contest closes on July 31st at 11:59 PM PT.

Look, the real prize isn't just the tech, it's the MASSIVE boost in commissions you'll see when you're properly prepared for September's launch.

While everyone else is scrambling at the last minute, YOU'LL be locked and loaded with a bonus package that converts like crazy.

Want to enter?

Comment “Launch” & I’ll share the link.

P.S. - If you're not signed up as an affiliate yet and want to join this contest, feel free to comment. We're expecting this to be absolutely INSANE and you don't want to miss it.

For the September launch, we're giving away Cybertrucks, Mustangs, AND equity in my next company (it’ll be EPIC). This isn't just any launch... this is THE launch.

2 months ago (edited) | [YT] | 16

Anik Singal

WOW! ChatGPT just went dark globally. And it reminded everyone how dependent we've become on AI.

Starting July 16th, ChatGPT suffered a massive outage that hit users across the U.S., Europe, and Asia. Along with Sora, Codex, and their APIs.

Here’s exactly what happened.

DownDetector logged over 8,500+ disruptions, with 82-88% of complaints pointing to the core chat interface.

Users reported:

→ ChatGPT sessions refusing to load
→ Repeated "unusual activity detected" blocks
→ Blank conversation windows
→ No chat, no API, no Codex/Sora access

Social media lit up - "No chats. No history. Just silence." "I get login loops and weird errors." "Is ChatGPT down for everyone or just me?"

Here’s OpenAI's response:

They confirmed "elevated error rates" across multiple services and immediately escalated efforts to fix it.
As of the latest updates, services have been fully restored.

We've reached the point where an AI outage affects productivity on a global scale. That's both incredible and terrifying.

The fact that thousands of people panicked when ChatGPT went down for a few hours shows how much our productivity now depends on AI.

2 months ago | [YT] | 33

Anik Singal

BREAKING: Elon Musk just dropped Grok 4, claiming it's "smarter than almost all graduate students in all disciplines simultaneously."

And the test results are absolutely wild.

This isn't just another AI model launch. Grok 4 is positioning itself to challenge OpenAI's GPT-4 and Google's Gemini head-to-head.

The academic performance is insane:

☑ "Humanity's Last Exam" test: Grok 4 scored 25.4% (beat Gemini 2.5 Pro at 21.6% and OpenAI's o3 at 21%)
☑ Grok 4 Heavy (the premium version) scored 44.4% using multi-agent architecture
☑ ARC-AGI-2 general reasoning test: 16.2% score - nearly double its closest competitor Claude Opus 4

Think about that. This AI is performing at graduate-level across multiple disciplines simultaneously.

What makes Grok 4 different:

Multi-agent architecture: Grok 4 Heavy uses multiple AI agents working together, which is why it crushed the competition on complex reasoning tasks.

Enhanced voice interaction: More responsive and natural conversations than previous versions.

Real-time reasoning: During launch, it solved complex math equations and predictive analyses live on stage.

The pricing is interesting:

→ Standard Grok 4: $30/month
→ SuperGrok Heavy: $300/month (for developers and enterprises)

But here's where it gets messy:

Grok 4 has already faced major content moderation issues. Instances of antisemitic content led to public backlash and forced xAI to implement stricter controls.

The controversy even coincided with X's CEO Linda Yaccarino resigning.

What's coming next:

- Grok 4 Code: A specialized coding assistant with 131,000-token context window designed to understand and generate complex codebases.

- Multimodal features: Image and video processing capabilities coming soon.

Here's what this really means:

Musk isn't just trying to compete with ChatGPT. He's trying to leapfrog everyone with claims of graduate-level performance across all disciplines.

If those benchmarks are real, Grok 4 could be the most capable AI model available right now.

The bigger picture:

The AI race just got more intense. We now have:

→ OpenAI pushing GPT-5 this summer
→ Google advancing Gemini
→ Anthropic with Claude 4
→ And now Musk with Grok 4 claiming graduate-level intelligence

But here's the question:

Are these benchmark scores actually translating to real-world performance? Or are we just getting better at gaming AI tests?

Because claiming your AI is "smarter than graduate students in all disciplines" is a massive statement.

But Grok 4's multi-agent architecture and those benchmark scores suggest this might actually be a significant leap.

Plus, Musk has unlimited compute resources and the motivation to prove X/Twitter was worth $44 billion.

3 months ago (edited) | [YT] | 16

Anik Singal

OpenAI is building an AI-powered browser that could kill Chrome. And they're launching it in weeks.

This isn't just another browser with AI features. This could be the biggest threat to Google's empire since Chrome launched 16 years ago.

Think about it. OpenAI has 500+ million ChatGPT users. If even 20% of them switch to an OpenAI browser, that's 100 million users overnight.

Here's what we know:

☑ Built on Chromium (same engine as Chrome, Edge, Brave)
☑ Features ChatGPT-like interface for natural language browsing
☑ Integrates "Operator" - OpenAI's autonomous agent
☑ Can book appointments, fill forms, navigate sites automatically
☑ Transforms browsing from passive window into active AI co-pilot

Google makes over $100 billion annually from ads. Their entire business model depends on controlling how people access information online.

OpenAI doesn't rely on ad revenue. That means:

→ No forced data tracking
→ No targeted ad bloat
→ Cleaner, more private experience
→ Direct threat to Google's money machine

The distribution advantage is insane:

OpenAI already has 500+ million ChatGPT users.
If they bundle this browser with:

→ ChatGPT Pro subscriptions
→ OpenAI desktop apps
→ GPT-5 when it launches

They could get massive adoption without spending a dime on marketing.

The competition is heating up:

→ Google Chrome (dominant but vulnerable)
→ Perplexity (already launched Comet AI browser)
→ Brave (privacy-focused with AI features)
→ Arc and Rewind (AI workflow browsers)


But OpenAI has the unfair advantage - they control the AI model, the interface, and now the distribution. That's vertical integration at scale.

The Jony Ive connection:

Remember, OpenAI has been working with Jony Ive (legendary Apple designer) on future hardware.

A new browser today could become an AI-native OS or device tomorrow. This might be the trojan horse for something much bigger.

Here's what most people don't realize:

This isn't just about browsing websites. It's about controlling the interface layer of the internet - where attention, interaction, and monetization happen.

If OpenAI wins here:

→ Google loses billions in ad revenue
→ Chrome loses market dominance
→ "Search" gets completely rewritten
→ Everything runs through natural language

First they came for search with ChatGPT. Then they came for coding with GitHub Copilot. Now they're coming for browsing.

OpenAI is systematically attacking every part of how people interact with information online.

Think about your daily routine:

How much time do you spend in a browser? What if that entire experience was powered by AI that could actually do things for you instead of just showing you links?

That's what OpenAI is building. Not just a better browser - a completely different way to interact with the web.

The stakes are enormous:
Whoever controls how people access and interact with information online controls the future of the internet.
Google has had that control for 20+ years. OpenAI is making a play to take it away.

If this browser is as good as it sounds, and if OpenAI can get their 500 million users to try it, Google's stranglehold on web browsing could be over.

We're not just talking about a new browser.

We're talking about the potential end of Google's internet dominance.

3 months ago | [YT] | 73

Anik Singal

BREAKING: GPT-5 is releasing for FREE this summer & Sam Altman just admitted that it’s smarter than him.

This might be the biggest AI leap we've ever seen.

Think about that for a second. The guy who's been at the forefront of AI development for years just said his own creation has surpassed him intellectually.

WOW!

Here's what Altman confirmed:

☑ GPT-5 launching between July-September 2025
☑ It won't launch unless it clears strict internal benchmarks
☑ They're killing the model picker - GPT-5 does everything automatically
☑ No more choosing between GPT-4, 4o, O1, or O3 - one system figures out what you need

What makes GPT-5 so powerful:

- One unified AI system: No more confusion about which model to use. GPT-5 automatically adapts to whatever task you throw at it.

- Chain-of-thought reasoning by default: Before, you had to prompt it to "think step by step." Now it reasons like a human automatically.

- Long-term memory: It remembers your style, goals, and preferences across sessions. Like having an assistant who actually learns how you work.

- Fully multimodal: Talk, upload files, images, audio- it understands everything in real-time during one conversation.

- 1-2 million token context: You can feed it entire books, company wikis, chat histories. Nothing gets lost.

- Autonomous tool use: It doesn't wait for you to ask. It anticipates what you need and does it proactively.

Here's what this means for your business:

If you're an entrepreneur: One AI equals a full-stack founder. Strategy, copy, marketing, content, funnels - all handled by one system that understands your business goals.

If you're a developer: Enterprise-grade code in minutes. Code that would take teams weeks, debugged and optimized automatically.

If you're a creator: You write the vision. GPT-5 handles voiceovers, scripts, thumbnails, visuals. The entire content pipeline becomes automated.

The competition isn't even close:

Claude 3.5: Great researcher, but passive. No tools or agents.
Gemini 1.5: Strong at vision, but lacks unified reasoning.
Grok: Good for social media, especially real-time data from X, but not deep problem-solving.
GPT-5 is positioning as all-in-one: reasoning + tools + memory + multimodal + agents.

If they deliver, it's game over for everyone else.

But here's the crazy part:

Altman said "We're reaching the end of this mountain." He's suggesting GPT-5 might be the last model before AGI.
This isn't just an assistant. It's infrastructure for intelligence.
Agents that work while you sleep. Automate research, write code, build funnels, run strategy.

How to prepare right now:

→ Learn prompting now - it'll 10X your output even before GPT-5 drops
→ Design systems GPT-5 can run - workflows, campaigns, automations
→ Don't build AI tools - build businesses powered by AI
→ Focus on creativity, vision, and orchestration - AI handles execution

The reality check:

When the creator of the technology admits it's smarter than him, you know we've crossed a line.
The question isn't whether GPT-5 will change everything.

The question is: How fast will you adapt?

Because while you're thinking about it, someone else is already building their GPT-5 strategy.

3 months ago | [YT] | 55