Anik Singal

These 2 Words Will Handle Any Sales Objection.

And Most Salespeople Never Use Them.

Look, I've watched thousands of salespeople blow deals because they make one critical mistake.

Here's what happens:

Prospect: "Your price is too high."

Average salesperson: "Well actually, if you compare us to the competition..." or "Let me show you why we're worth it..."

And boom. You just started arguing with your prospect.

The 2 magic words that change everything:

"I AGREE."

But here's the thing - you're not actually agreeing that your price is too high. You're agreeing with their concern, then redirecting the conversation.

Here's exactly how this works:

Prospect: "Your price is too high."

You: "I AGREE. But let me ask you this - is this a question of price, or is this a question of value?"

See what just happened?

→ You validated their concern instead of dismissing it
→ You didn't get defensive or start arguing
→ You created space to dive deeper into the REAL objection
→ You shifted from price to value in one sentence

Why this works:

When you argue with someone, they dig deeper into their position. They get more defensive. They build a wall.

But when you agree? That wall comes down. Now you're on the SAME SIDE, working together to solve their concern.

Most objections aren't about what people SAY they're about.

"Your price is too high" really means:
"I don't see enough value yet"
"I'm scared of making the wrong decision"
"I need to justify this to my boss/spouse"

When you say "I agree" and dive deeper, you get to the REAL issue. And real issues can be solved.

The mistake most salespeople make is treating objections like attacks. They're not - they're opportunities to understand what's actually blocking the sale.

Try this on your next few calls. Say "I agree" when they object, then ask a better question.

See what happens.

3 weeks ago | [YT] | 13

Anik Singal

“Ask for help not because you’re weak, but because your smart”

3 weeks ago | [YT] | 19

Anik Singal

I Lost Millions Building My Dream. Then I Lost It Again. Here's Why I STILL Didn't Quit.

Third time's a charm? More like third time I finally learned what the hell I was doing.

Listen, I need to tell you about the most painful, expensive, heartbreaking journey of my entrepreneurial career. And why I'm damn glad I never gave up.

The Dream That Wouldn't Die

Picture this: I'm at the gym, crushing it on the elliptical, when this billion-dollar idea hits me like a freight train.

An educational platform. A place where anyone could teach their expertise. Rose gardeners teaching rose gardening. Experts teaching directly to students. No middleman. No overpriced courses.

I was invincible back then. Everything I touched turned to gold. So naturally, I pulled out the Excel spreadsheet and started calculating my billions.

Yeah. That's where this story gets interesting.

Attempt #1: The India Disaster

The Brilliant Plan:

→ Need developers? Outsource to India
→ I speak the language, I know the culture
→ This is gonna be EASY


What Actually Happened:


→ Hired a company that had NO experience building tech platforms
→ Started changing features every single day (massive mistake)
→ Opened my own office and hired junior developers (another massive mistake)
→ Built a team of nearly 100 people with ZERO seniors who knew what they were doing
→ My main business started collapsing while I burned money

The Devastating Moment:

One day, my wife (who was working in our India office back then) runs up to me with a laptop.

"Have you seen THIS?"

It was Udemy. Three technical founders on the other side of the world had built exactly what I wanted to build. With a team of THREE people while I had a team of 100.

They kicked my ass.

But I still thought, "Okay, Coke and Pepsi both exist. McDonald's and Burger King. I can still do this."

Then my trusted developer friend reviewed my code after months of work.
His verdict? "This is the worst code I've ever seen. There's nothing savable here. You have to throw it ALL away."

Attempt #2: The "I've Learned My Lesson" Failure

What I Fixed:

→ No more junior developers - hired experienced team
→ Better development schedules
→ Pulled the plug faster when things weren't working

What I STILL Got Wrong:

I flew to South Carolina. Found an outsource company with experience. Started building.

Guess what? Within months, it fell apart again.

But here's the thing - this time I only lost a few hundred thousand instead of millions. Progress, right?

The Game-Changing Realization:

You cannot just start vomiting ideas onto paper and expect developers to build your vision.

You need to spend FIVE TIMES the amount of time PLANNING than you do developing.

Five. Times.

Attempt #3: Finally Getting It Right

The Process That Actually Worked:

Step 1: Operational Documentation → Write out exactly how every feature works → Create detailed "stories" of user experiences → No assumptions, no shortcuts

Step 2: Technical Specifications → Let the tech team document HOW it will be built → Review together to ensure understanding → Still not developing yet

Step 3: UI Design → Hire designers to visualize everything → Give developers complete visual clarity → Make sure everyone sees the same vision

Step 4: ONLY THEN Start Development → No more "project creep" (the death of tech projects) → Stick to the plan → Build systematically

The Timeline:
→ Started planning: December 2016
→ Launched alpha version: April 2018
→ Currently in beta (and still building for years to come)

The Lessons That Cost Me Everything

Lesson #1: Don't Build With Only Junior Talent You need experienced people who've actually built platforms before. Period.

Lesson #2: Planning Is EVERYTHING If you're building technology, spend five times longer planning than developing. This is non-negotiable.

Lesson #3: Talk To Your End Users FIRST I could have cut a YEAR off my development if I had done focus groups before building. Don't make my mistake.

Why I'm Telling You This

Because here's the truth: that platform I dreamed about over a decade ago? It's real now. It's live. It's helping people.

And it only exists because I refused to quit.
Your dream might take multiple attempts. You might fail spectacularly. You might lose money, time, and pride.

But if your dream is big enough - if it means enough to you - don't you DARE give up.

The dreams that are most worth it will be the toughest to make happen. And "tough" means you'll have to try again. And again. And again.

So here's my question for you: Is YOUR dream worth it?
Because third time's a charm. But only if you make it to the third time.

4 weeks ago | [YT] | 25

Anik Singal

Launching a new video today - "How To Get Ahead Of 99 Percent People (With AI) ---> https://www.youtube.com/watch?v=NURcz...

Don't miss this!

1 month ago | [YT] | 20

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.

2 months ago | [YT] | 23

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.

2 months ago (edited) | [YT] | 23

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.

2 months ago | [YT] | 36

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.

2 months ago (edited) | [YT] | 22

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.

2 months 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.

4 months ago (edited) | [YT] | 17