Day 3 of my “From Zero at 60 to My First $100 Online Again” challenge didn’t bring viral posts or instant money—but it gave me something more valuable: market intelligence, a content pivot, and my first real collaboration opportunity.

Morning: Posting Consistently, Getting Predictable Silence
I started the day by doing what most creators are told to do—“stay consistent”:
- Published my Day 2 article and linked back to previous entries for stronger internal SEO.
- Shared the post across Facebook, LinkedIn, Instagram, and multiple Facebook groups.
- Posted short teaser updates in beginner‑focused groups.
Result? Almost no engagement. A few views, a few impressions, but nothing meaningful.
Instead of getting discouraged, I accepted a hard truth:
Just posting into noisy feeds is not enough. If they don’t come to you, you move the game to their desk.
So I changed direction after lunch.
Midday: Noticing the Same Old Scams (And Refusing to Join the Circus)
While scrolling Facebook groups, I kept seeing the same pattern:
- New or desperate users (often women or obvious fake profiles) posting “please tell me what to do”.
- “Helpers” jumping in with offers of easy typing jobs, data entry, or Ludo‑style game tasks.
- The catch:
- “Send WhatsApp number.”
- “Pay a $3–$5 fee first.”
- Then: silence, frustration, and sometimes blocked accounts.
These traps boil my blood because they waste time and prey on beginners with no guidance.
Instead of letting anger distract me from my challenge, I decided to channel it into something useful and strategic.
Afternoon Experiment: Posing as a Client in the Data‑Scraping Market
Because I’d been learning Apify and practicing data scraping, I chose a different route:
I went into scraping and data‑selling groups, not as a seller—but as a client.
My goal:
- Understand how the “data scraping in Pakistan” and low‑cost leads market actually works.
- See what people charge, how they talk, and what kind of data they really offer.
- Look for gaps I could later fill honestly with my own skills and tools.
What I did
- Posted as a buyer looking for specific lead lists (e.g., AI agency leads, niche‑based data).
- Talked to 17 different “sellers” in DMs.
Key insights from this mini‑investigation
- Most were middlemen, not scrapers.
- They resell old “dumped” lists of 10k+ records for a small commission (100–200 PKR).
- Data quality: mixed domains, outdated info, and almost no verification.
- Pricing clusters:
- Around 1,500–3,500 PKR per batch of leads.
- Response quality:
- Slow replies, vague answers, and low confidence.
- Only one person claimed he could get custom data via outsourcing—but he still didn’t own the process.
Conclusion:
I got exactly what I wanted: a clear picture of how most “cheap data” sellers operate, what they charge, and where the huge gaps are (fresh, niche‑specific, trustworthy data).
This is long‑term gold for me. When I’m ready to offer proper scraping‑based services, I know how to position them and what not to do.
Evening: A Real Win – Collaboration with Raja Ali
Just when I was about to wrap up the day, I found a different kind of post.
It was from Mr. Raja Ali—clear, structured, and focused on real client pain points and real deliverables. No drama, no vague promises.
I reached out, shared my journey, and offered collaboration around AI agency skills and content.
He replied positively.
- We discussed ideas.
- He allowed me to share our collab in this challenge log.
- And I went ahead and recorded a video:
“6 Skills Every AI Agency Owner Needs” - That video is now live on YouTube and embedded here on this page.
This one connection turned a day of low social engagement into a high‑value relationship plus a new content asset.
Instead of chasing likes, I walked away with a collab and a video that can keep working for me for months.
Quick Wins Tracker – Day 3
| Activity | Outcome |
|---|---|
| Social posts & shares | Low engagement (expected, but logged) |
| Data‑scraping market research | Clear intel on pricing, behavior, and huge quality gaps |
| Scam posts observation | More conviction to build honest, transparent services |
| Collab outreach (Raja Ali) | Secured a collaboration + YouTube video created |
What I Learned on Day 3
- Posting alone is not a strategy; positioning and conversations matter more.
- The low‑ticket data market is dominated by resellers, not true scrapers—huge opportunity if I offer honest, niche‑specific data later.
- One genuine collaboration is worth more than 100 empty likes.
- Frustration (like seeing scammers) can be turned into fuel for smarter experiments.
What’s Next for Day 4
- Start shaping a simple data‑related service concept that fits my skills and ethics (no fake lists, no scams).
- Continue sharing my journey but focus more on DM conversations and collaborations than just posting.
- Build small, ready‑to‑send samples (content packs, scripts, outlines) so that when someone says “yes”, I can show value instantly.
The scoreboard in dollars is still at zero—but the information, connections, and systems I’m building are real assets. This is how I’m trying to turn “near zero at 60” into sustainable income, one honest step at a time.