WickedVick

[WickedVick @vick_wicked]

@alifcoder Handbook

[Alif Hossain @alifcoder]

People are quietly making $5k–$20k/month with Claude.

Not by being smarter. By using better prompts.

📘 The Ultimate Claude Prompt Handbook — 1,500+ proven prompts for freelancing, content, copywriting, digital products, and online income. Plug and profit.

Normally $179 → FREE for 48 hrs.

Like + RT + comment 'Handbook' and I'll DM it.

Follow me so the DM goes through.

[WickedVick @vick_wicked]

@codewithimanshu BUILD

[Himanshu Kumar @codewithimanshu]

Nobody noticed this wallet on Polymarket.

Gravia.

Chinese student. Lives in Japan. Joined 2 days ago.

$0.90 starting balance.

$408,292 two days later.

He built the entire system with Claude.

One market: BTC UP/DOWN 5MIN

The framework:

Binance WebSocket feeds real-time spot price + 5-minute candles into the system.

TradingView signals cross with CryptoQuant exchange flow data.

A force-graph runs 100 nodes and 180 connections to detect BULL/BEAR convergence in real time.

The bot compares spot price to Polymarket CLOB.

When it detects a delay, it executes in under 100ms.

Before the order book reprices.

1000+ orders per second if needed.

0.3% to 0.8% captured per trade.

But here is what separates this from gambling:

The bot refuses to trade when:

→ Edge does not exist
→ Liquidity is insufficient
→ Signals contradict
→ Daily risk cap is hit

Risk parameters:

→ 0.5% per trade
→ 2% max daily exposure
→ Hard stop at -0.4% loss
→ Runs on a laptop
→ No GPU
→ No cloud servers

This is not about predicting Bitcoin.

It is about detecting when Polymarket pricing lags behind spot by 100 milliseconds and executing before the gap closes.

Most people trade on 5-minute charts and think they are fast.

This system operates in the space between spot price movement and order book adjustment.

That window lasts less than a second.

$408K in 48 hours from $0.90.

All from capturing microsecond inefficiencies that most traders cannot see.

You only need Claude + WebSocket access + risk controls.

Giving this free for 24 hours.

To get it:

1. Comment BUILD
2. Like and Retweet
3. Follow me @codewithimanshu so I can DM you

Save this post. Deploy the latency detection system this week. Start small. Scale on evidence.

[WickedVick @vick_wicked]

@MrBeast 1000000

[WickedVick @vick_wicked]

@MrBeast 9999999

[WickedVick @vick_wicked]

@MrBeast 8000000

[WickedVick @vick_wicked]

@MrBeast 3000000

[WickedVick @vick_wicked]

@MrBeast 2500000

[WickedVick @vick_wicked]

@MrBeast 6666666

[WickedVick @vick_wicked]

@MrBeast 10000000

[WickedVick @vick_wicked]

@MrBeast 5000000

[WickedVick @vick_wicked]

@MrBeast 5000000

[WickedVick @vick_wicked]

@maverickecom METHOD

[WickedVick @vick_wicked]

@everestchris6 YARD

[Chris @everestchris6]

this OpenClaw bot catches luxury homes the day they sell with an empty backyard, renders a finished one into their REAL yard (not a random AI mockup), and mails the new owner the before/after. on autopilot.

and it's not just for pool builders, landscapers, outdoor-living crews & design-build firms can all run this exact system.

here's how it runs, end to end:

- catches $500k–1.5M sales, then flags the empty backyards
- filters by lot size, sun exposure & recent ownership change
- pulls the new owner straight from public records (not shared leads)
- renders each upgrade into their real backyard photo — their yard, not a stock one
- calculates build cost + home-value lift for their specific zip
- generates a cinematic before→after video of their backyard
- prints a personalised postcard with the before/after + QR code
- drops it in the mail + hits them with retargeting

every step from sourcing to outreach is automated. plug in whatever you install and it fills your pipeline.

reply "YARD" + RT and i'll send the full breakdown so you can build this too (must be following so i can DM)

[WickedVick @vick_wicked]

@AlfieJCarter Agents

[WickedVick @vick_wicked]

@mikefutia LEADS

[WickedVick @vick_wicked]

@aryanXmahajan RECOM

[Aryan Mahajan @aryanXmahajan]

R.I.P. Fable 5.

Perplexity + Reddit + Opus 4.8 = AI SDR that still booked a $20B hedge fund.

(38% reply rate. 30 qualified meetings a month. 0 SDRs hired.)

This system reads 1,000+ companies every morning and only writes to the ones already in buying motion...

→ No more $200K/year SDR payroll for manual account research
→ No more 10,000 cold emails for a 1% reply
→ No more bought lists going stale in weeks
→ No more guessing who's actually ready to buy
→ No more openers that read like templates

Just 1 morning run → the 30 accounts worth calling today.

I built it around one rule: never depend on a single model to run.

Opus 4.8, GPT 5.5, Mythos, Fable 5 — there will always be a new LLM.

Today the US government proved why. The system didn't notice.

Here's how it works:

→ ICP Intelligence (Perplexity does a month of buyer research in 15 minutes)
→ Account Radar (reads 1,000+ companies every morning, keeps only the matches)
→ Buying Window (3 live triggers per account: a raise, a key hire, a launch)
→ Buyer Language (lifts your buyer's exact 5 phrases off Reddit, nothing reads like a template)
→ Voice Match (drafts a 3-line opener off that signal, in your voice)
→ Orchestration (Fable runs the whole pass and hands you the 30 to call today)

Built on real outbound infrastructure.
Model-agnostic. Runs every morning without supervision.
Government bans included.

Results from my own pipeline:
- Reply rate from 1% to 38%
- 30 qualified meetings a month, 0 SDRs hired
- A $20B hedge fund and a $15B fund booked
- $340K in new pipeline last quarter

Want the complete build?

Like + comment "RECON" + repost, and I'll DM it to you.
(must be following)