Let's share reccuring commission affiliate programs

If you promote reccuring affiliate programs

Let's share your best methods to get leads or clicks

I promote a tool called apify And generated

69 clicks

8 Sign ups

3 customers paying for third month

I wrote about it on meduim.com & promoted here on reddit

So what is your story ?

reddit.com
u/FrostyBother3984 — 3 days ago
▲ 5 r/saudipsychology+2 crossposts

Free Will & Free Won`t

Right now, as you're reading this, there's a voice inside your head. A voice you've spent your whole life convinced is you. The manager running your life, deciding what you eat, what you wear, whether you keep reading this post or close it.

In 1983, a neuroscientist named Benjamin Libet walked into his lab to measure — down to the millisecond — exactly how long it takes that voice (human consciousness) to make a simple motor decision. Libet had spent his career studying how brain signals convert into awareness, and this research earned him a Nobel Prize nomination. But the result he found wasn't just numbers in a paper. It was a genuine shock that completely rewired how we understand ourselves — and it proved that the voice you think of as "you" is always the last one to find out what's happening inside your own head.

The Experiment That Broke Everything

To understand what Libet was measuring, you need to know that philosophers and psychologists have been split into two camps forever.

Camp 1 believes humans have complete free will — we initiate, plan, and own our decisions, which is why laws and accountability exist.

Camp 2 believes we're governed by biological determinism — we're just complex machines, and everything we do comes down to genes, brain chemistry, and circumstance. We feel free, but we're running pre-written code.

Libet skipped the debate and went straight to the lab.

He hooked volunteers up to an EEG measuring their motor cortex (the area that cooks up movement commands), strapped sensors to their hands to capture the exact moment of movement, and put a fast-moving clock in front of their eyes. His instruction was simple: "Sit relaxed, and whenever you feel a spontaneous urge — no planning — flex your finger. But note the clock position the moment you first feel the urge to move."

Common sense says: I consciously decide first → brain prepares → hand moves.

The numbers said the exact opposite.

Volunteers felt the conscious urge about 200 milliseconds before movement — fine, that makes sense. But the EEG showed the brain had already started firing an electrical signal called the "readiness potential," preparing for movement 550 milliseconds before the hand moved.

Do the math. There's a 350-millisecond gap — a full third of a second — where your subconscious had already made the decision, locked in the choice, and charged up the neurons... while your conscious mind had absolutely no idea. Only after everything was done did the subconscious send a signal to your awareness essentially saying: "Hey, heads up — we just decided to move."

Your consciousness turned out to be nothing more than a clerk who gets the report late and just signs off on it.

Libet Panicked — Then Found the Loophole

Libet was shaken by his own results. He felt like he'd just erased human agency entirely. So he ran a follow-up experiment, and that's where he found something crucial: yes, the brain starts the signal behind your back — but in those final 200 milliseconds (the conscious window), you hold complete veto power. You can hit the brakes and stop the movement from executing.

So we don't have free will to start a thought. But we do have free will to stop it.

The Fast and Slow System — Why Your Autopilot Runs Everything

Psychologist Daniel Kahneman (Nobel Prize, 2002) explains this perfectly with his theory of fast and slow thinking:

System 1 is your autopilot — fast, automatic, energy-free. It handles habits and things you do without thinking (dodging something thrown at you suddenly, driving your usual route home, mindlessly reaching for your phone to scroll).

System 2 is your conscious, rational mind — slow, logical, capable of solving complex problems, and it holds the brakes. The problem? It's lazy and burns out fast because running it costs enormous mental energy. So your brain prefers to shut it off and hand control to the automatic current to conserve fuel.

Then in 2008, German neuroscientist John-Dylan Haynes took this further using advanced fMRI combined with AI to monitor the prefrontal cortex (responsible for choices and decisions). He asked volunteers to freely press a left or right button whenever they felt like it.

The shock here wasn't fractions of a second. The computer could predict which button the volunteer would choose 7 to 10 full seconds before the volunteer themselves knew. While you're still "thinking it over," the decision has already been made inside your brain.

The Chemical Gang Your Autopilot Runs With

Your autopilot doesn't work alone. Neuroscience has documented the full crew:

When you're stressed or bored, cortisol floods in and shuts down your conscious brakes. Then dopamine shows up — and this is important, because as neuroscientist Wolfram Schultz proved in his landmark research, dopamine is the hormone of craving and anticipation, not pleasure — and it starts charging up the neural pathways toward the bad habit. Once you act on it, endorphins and serotonin give you temporary relief. Then a neurotransmitter called glutamate acts like a soldering iron (through a process called long-term potentiation) and welds that pathway into your subconscious so next time, it fires even faster — in a single second.

Scientists do note these experiments can't be generalized to major life decisions like marriage or moving abroad, which require extended conscious deliberation. But they confirmed these findings directly explain your automatic bad habits — like why you pick up your phone to scroll for hours, or order fast food while you're supposed to be dieting.

In the scrolling trap: you're stressed, your conscious mind clocked out, your subconscious grabbed the phone, dopamine charged the circuits, and your hand opened TikTok — and your conscious awareness caught up 350 milliseconds after the motion had already started. You look up and think "wait, how did I even get here?"

With fast food: your subconscious is programmed to crave quick energy and fat. It cooks up the decision, and by the time it reaches your conscious mind as an overwhelming craving, System 2 is too tired to hit the brakes — so it rationalizes instead: "just this once, I'll start fresh tomorrow." Subconscious decided. Consciousness made excuses.

How to Actually Stop the Machine

Traditional willpower-based solutions don't work here, because these habits are just symptoms of emotions and problems your subconscious is running from. Modern behavioral psychology offers three actually effective strategies to take back control:

Strategy 1: The HALT Code — Defusing the Emotional Trigger

The biggest trick your subconscious pulls is exploiting four states of physical vulnerability, summed up by the acronym HALT:

  • Hungry
  • Angry (stressed, overwhelmed)
  • Lonely (bored, empty)
  • Tired (exhausted, drained)

Most of the time you're reaching for your phone or opening a delivery app, you don't actually want the phone or the food. Your brain is exhausted and needs sleep. Or you're anxious about a hard task and running away from it.

The fix is called silent conscious confrontation: the moment you notice your hand moving toward your phone or an app — Halt. Stop and ask yourself clearly: "Why am I doing this right now? Am I actually hungry? Or am I stressed and avoiding work? Bored? Exhausted and need sleep?"

Simply naming the real feeling immediately shifts the electrical signals from the automatic habit regions to the conscious prefrontal cortex — and blows your subconscious's cover. If you're tired: go sleep. If you're avoiding a task: break it into something ridiculously small and start immediately. Fix the cause. The symptom disappears on its own.

Strategy 2: Urge Surfing — Riding the Wave

This technique was developed by psychologist Alan Marlatt. His insight: a compulsive urge inside your subconscious works exactly like an ocean wave. It starts small, builds to a peak, then collapses and dies on its own within minutes — if you don't touch it or fight it violently.

When the urge to scroll hits, sit with it. Don't resist the thought — observe it like a doctor monitoring a patient. Notice your body: heart racing? Mouth dry? Breathe deeply and tell yourself: "I'm currently riding a dopamine wave, and it will peak and drop within two minutes."

Simply watching the urge as a foreign object drains its energy. The wave breaks and dissolves in under 3 minutes without burning any of your willpower reserves.

Strategy 3: The 45-Day Protocol — Building the Discipline Muscle

To actually close out this game, you need to understand something: beating your autopilot doesn't require temporary motivation. It requires building discipline. And discipline works exactly like a muscle at the gym — if you walk in on day one and try to lift 100kg, you'll tear something and never go back.

That's exactly what happens when you suddenly decide to quit scrolling, quit fast food, and study 10 hours — all in one day. Your subconscious panics and rejects the violent change.

The science-backed solution is gradual progression from easy to hard. Want to build discipline around exercise, work, or studying? Start with something so small your subconscious can't resist or feel threatened by it. Day one: 10 minutes of studying. Or 5 minutes of exercise. Next day, add a minute. The day after, another minute. You're slowly pulling your subconscious into your territory without it registering the change as painful.

Neuroplasticity research shows the brain needs an average of 40 to 45 consecutive days to build an entirely new neural pathway (a new wire, sealed with glutamate) and convert it into a new automatic habit. Stick with the gradual build for 45 days and something almost magical happens: the psychological muscle strengthens, and System 2 (consciousness) starts releasing dopamine for the feeling of discipline and achievement itself. Those 10 minutes become an hour, then two. Discipline becomes the new autopilot — working for you while you rest.

Support Link : https://ko-fi.com/supportlink

u/FrostyBother3984 — 13 days ago
▲ 2 r/FacebookAdvertising+1 crossposts

Stop Manual Audits: How to Export Competitor Facebook Data to Excel in 2 Minutes (Free Method)

Hi all,

I see a lot of people still doing manual competitor audits—scrolling through Facebook pages, counting likes, and copying post text into spreadsheets. It’s a massive waste of time.

I’ve been using an automated workflow to "spy" on competitor performance, and I wanted to share the process because you can actually do it for free using a specific cloud tool.

What you can actually see with this method:

  • Viral Triggers: See which specific posts got the highest "Share" count versus just "Likes."
  • Content Patterns: Export 500+ posts into Excel and sort by "Timestamp" to see their posting frequency and peak engagement times.
  • Ad Library Integration: The tool I’m using actually checks if the page is currently running ads, which is a massive shortcut for creative research.
  • Video Assets: It pulls direct media URLs and thumbnails, which is great if you're building a swipe file.

The "Free" Hack: The platform I use (Apify) gives $5 in free credits monthly. Since this specific scraper costs about $0.008 per post, you can effectively scrape 500-600 full posts every single month without paying a dime.

I put together a step-by-step guide on how to set up the URLs, apply the filters, and export the final CSV/Excel sheet.

Read the full guide here:https://mo-elrweny.medium.com/the-ultimate-guide-to-scraping-facebook-post-data-in-2026-4c3d8150f961

u/FrostyBother3984 — 28 days ago

I built a fully autonomous Meta Ads AI Agent in n8n ask it anything about your ad accounts in plain English

1 - Core Functionality:

Ask the agent conversational questions like:

- What’s my ROAS on account act_123 for the last 30 days?

- Which campaigns have the highest CTR this month?

- Show me all active ads and their current spend

2 - The Architecture:

The system uses a two-part workflow for stability and precision:

- The Brain (Chat Interface):

Uses LangChain + GPT to interpret intent.

Equipped with tools: list_accounts, account_details, and ad_details.

Injected with today's date so it understands "this month" or "yesterday

- The Engine (Sub-workflow):

Acts as a Safe API Layer

Instead of the LLM guessing API syntax, it calls this workflow.

Meta Graph API (v23.0): Fetches spend, reach, conversions, ROAS, and ad hierarchy

Data Cleaning: Normalizes Account IDs (the act_ prefix) and formats JSON into clean text for the AI

Pro-Tips from the Build

Sub-workflows > Raw API: Wrapping API calls in predefined nodes prevents the AI from hallucinating field names.

Date Normalization: Setting default ranges (start-of-month to today) ensures How are my ads doing? always returns a valid response.

Read-Only: For security, the agent is currently analytics-only with no "write" permissions to pause or delete campaigns.

Want the JSON? Let me know and I'll drop the workflow files!

reddit.com
u/FrostyBother3984 — 1 month ago

I built a fully autonomous Meta Ads AI Agent in n8n ask it anything about your ad accounts in plain English

1 - Core Functionality:

Ask the agent conversational questions like:

- What’s my ROAS on account act_123 for the last 30 days?

- Which campaigns have the highest CTR this month?

- Show me all active ads and their current spend

2 - The Architecture:

The system uses a two-part workflow for stability and precision:

- The Brain (Chat Interface):

Uses LangChain + GPT to interpret intent.

Equipped with tools: list_accounts, account_details, and ad_details.

Injected with today's date so it understands "this month" or "yesterday

- The Engine (Sub-workflow):

Acts as a Safe API Layer

Instead of the LLM guessing API syntax, it calls this workflow.

Meta Graph API (v23.0): Fetches spend, reach, conversions, ROAS, and ad hierarchy

Data Cleaning: Normalizes Account IDs (the act_ prefix) and formats JSON into clean text for the AI

Pro-Tips from the Build

Sub-workflows > Raw API: Wrapping API calls in predefined nodes prevents the AI from hallucinating field names.

Date Normalization: Setting default ranges (start-of-month to today) ensures How are my ads doing? always returns a valid response.

Read-Only: For security, the agent is currently analytics-only with no "write" permissions to pause or delete campaigns.

Want the JSON? Let me know and I'll drop the workflow files!

reddit.com
u/FrostyBother3984 — 1 month ago

I built a fully autonomous Meta Ads AI Agent in n8n ask it anything about your ad accounts in plain English

1 - Core Functionality:

Ask the agent conversational questions like:

- What’s my ROAS on account act_123 for the last 30 days?

- Which campaigns have the highest CTR this month?

- Show me all active ads and their current spend

2 - The Architecture:

The system uses a two-part workflow for stability and precision:

- The Brain (Chat Interface):

Uses LangChain + GPT to interpret intent.

Equipped with tools: list_accounts, account_details, and ad_details.

Injected with today's date so it understands "this month" or "yesterday

- The Engine (Sub-workflow):

Acts as a Safe API Layer

Instead of the LLM guessing API syntax, it calls this workflow.

Meta Graph API (v23.0): Fetches spend, reach, conversions, ROAS, and ad hierarchy

Data Cleaning: Normalizes Account IDs (the act_ prefix) and formats JSON into clean text for the AI

Pro-Tips from the Build

Sub-workflows > Raw API: Wrapping API calls in predefined nodes prevents the AI from hallucinating field names.

Date Normalization: Setting default ranges (start-of-month to today) ensures How are my ads doing? always returns a valid response.

Read-Only: For security, the agent is currently analytics-only with no "write" permissions to pause or delete campaigns.

Want the JSON? Let me know and I'll drop the workflow files!

reddit.com
u/FrostyBother3984 — 1 month ago

I built a fully autonomous Meta Ads AI Agent in n8n ask it anything about your ad accounts in plain English

1 - Core Functionality:

Ask the agent conversational questions like:

- What’s my ROAS on account act_123 for the last 30 days?

- Which campaigns have the highest CTR this month?

- Show me all active ads and their current spend

2 - The Architecture:

The system uses a two-part workflow for stability and precision:

- The Brain (Chat Interface):

Uses LangChain + GPT to interpret intent.

Equipped with tools: list_accounts, account_details, and ad_details.

Injected with today's date so it understands "this month" or "yesterday

- The Engine (Sub-workflow):

Acts as a Safe API Layer

Instead of the LLM guessing API syntax, it calls this workflow.

Meta Graph API (v23.0): Fetches spend, reach, conversions, ROAS, and ad hierarchy

Data Cleaning: Normalizes Account IDs (the act_ prefix) and formats JSON into clean text for the AI

Pro-Tips from the Build

Sub-workflows > Raw API: Wrapping API calls in predefined nodes prevents the AI from hallucinating field names.

Date Normalization: Setting default ranges (start-of-month to today) ensures How are my ads doing? always returns a valid response.

Read-Only: For security, the agent is currently analytics-only with no "write" permissions to pause or delete campaigns.

Want the JSON? Let me know and I'll drop the workflow files!

reddit.com
u/FrostyBother3984 — 1 month ago

I built a fully autonomous Meta Ads AI Agent in n8n ask it anything about your ad accounts in plain English

1 - Core Functionality:

Ask the agent conversational questions like:

- What’s my ROAS on account act_123 for the last 30 days?

- Which campaigns have the highest CTR this month?

- Show me all active ads and their current spend

2 - The Architecture:

The system uses a two-part workflow for stability and precision:

- The Brain (Chat Interface):

Uses LangChain + GPT to interpret intent.

Equipped with tools: list_accounts, account_details, and ad_details.

Injected with today's date so it understands "this month" or "yesterday

- The Engine (Sub-workflow):

Acts as a Safe API Layer

Instead of the LLM guessing API syntax, it calls this workflow.

Meta Graph API (v23.0): Fetches spend, reach, conversions, ROAS, and ad hierarchy

Data Cleaning: Normalizes Account IDs (the act_ prefix) and formats JSON into clean text for the AI

Pro-Tips from the Build

Sub-workflows > Raw API: Wrapping API calls in predefined nodes prevents the AI from hallucinating field names.

Date Normalization: Setting default ranges (start-of-month to today) ensures How are my ads doing? always returns a valid response.

Read-Only: For security, the agent is currently analytics-only with no "write" permissions to pause or delete campaigns.

Want the JSON? Let me know and I'll drop the workflow files!

u/FrostyBother3984 — 1 month ago

Note: I'm not prompting anything

I'm working on creating an automated system to help me hunt some good domains

I'm using dynadot api to get all domains and filter it with my desired keywords

Once the bot find relative query it sends me a telegram messages

Any advice on how to get better results?

reddit.com
u/FrostyBother3984 — 1 month ago