flowchart TD
A["Leaked X DM offer<br/>simple influencer pitch"] -->|"turns DMs into paid distribution"| B["Geo-arbitrage pricing<br/>localized rate, global reach"]
B -->|"lowers CAC through PPP leverage"| C["Influencer army<br/>12 quote-tweets per month"]
C -->|"repeats the same platform signal"| D["Manufactured network effect<br/>trend appearance and social proof"]
D -->|"converts trust into gambling users"| E["Gambling economics<br/>LTV must beat tweet cost"]
E -->|"keeps the acquisition loop profitable"| F["Growth loop<br/>DMs keep coming"]
A1["Can pay u $1,000 a month"] --> A
A2["Ask: 12 quote-tweets"] --> A
A3["Leaked messages reveal strategy"] --> A
A4["Kalshi slides into X DMs"] --> A
B1["Roughly $83 per tweet"] --> B
B2["Purchasing Power Parity (PPP)"] --> B
B3["Dollar strong in targeted demographics"] --> B
B4["X timeline has global reach"] --> B
B5["Localized rate for global asset"] --> B
B6["Lower Customer Acquisition Cost (CAC) drastically"] --> B
C1["Universal army of promoters"] --> C
C2["Steep discount"] --> C
C3["Badges next to blue tick"] --> C
C4["Tech influencer in developing nation"] --> C
C5["Significant salary, often more than rent money"] --> C
D1["Monday: coding tips"] --> D
D2["Tuesday: generational wealth on prediction markets"] --> D
D3["Influencers secure the bag"] --> D
D4["Platforms buy trust at scale"] --> D
D5["Amrit promotes Kalshi"] --> D
D6["Aditya promotes Kalshi"] --> D
D7["Algorithm sees a trend"] --> D
D8["User sees social proof"] --> D
D9["Reality: bought on a payroll"] --> D
E1["Product is gambling"] --> E
E2["Gambling is a universal human behavior"] --> E
E3["Desire to wager on outcomes"] --> E
E4["LTV exceeds $83 tweet cost"] --> E
E5["Math holds up"] --> E
F -.->|"profitable tweets fund more DMs"| A
D -.->|"more posts create more social proof"| C
C -.->|"repeated virality attracts platform growth"| F
Currently, I have a long mermaid which doesn't read well unless you use zoom-in/zoom-out.
For example,
Mermaid Diagram
flowchart TD A["Leaked X DM offer<br/>simple influencer pitch"] -->|"turns DMs into paid distribution"| B["Geo-arbitrage pricing<br/>localized rate, global reach"] B -->|"lowers CAC through PPP leverage"| C["Influencer army<br/>12 quote-tweets per month"] C -->|"repeats the same platform signal"| D["Manufactured network effect<br/>trend appearance and social proof"] D -->|"converts trust into gambling users"| E["Gambling economics<br/>LTV must beat tweet cost"] E -->|"keeps the acquisition loop profitable"| F["Growth loop<br/>DMs keep coming"] A1["Can pay u $1,000 a month"] --> A A2["Ask: 12 quote-tweets"] --> A A3["Leaked messages reveal strategy"] --> A A4["Kalshi slides into X DMs"] --> A B1["Roughly $83 per tweet"] --> B B2["Purchasing Power Parity (PPP)"] --> B B3["Dollar strong in targeted demographics"] --> B B4["X timeline has global reach"] --> B B5["Localized rate for global asset"] --> B B6["Lower Customer Acquisition Cost (CAC) drastically"] --> B C1["Universal army of promoters"] --> C C2["Steep discount"] --> C C3["Badges next to blue tick"] --> C C4["Tech influencer in developing nation"] --> C C5["Significant salary, often more than rent money"] --> C D1["Monday: coding tips"] --> D D2["Tuesday: generational wealth on prediction markets"] --> D D3["Influencers secure the bag"] --> D D4["Platforms buy trust at scale"] --> D D5["Amrit promotes Kalshi"] --> D D6["Aditya promotes Kalshi"] --> D D7["Algorithm sees a trend"] --> D D8["User sees social proof"] --> D D9["Reality: bought on a payroll"] --> D E1["Product is gambling"] --> E E2["Gambling is a universal human behavior"] --> E E3["Desire to wager on outcomes"] --> E E4["LTV exceeds $83 tweet cost"] --> E E5["Math holds up"] --> E F -.->|"profitable tweets fund more DMs"| A D -.->|"more posts create more social proof"| C C -.->|"repeated virality attracts platform growth"| FSo I'd love controls like you see on Github Preview or maybe just zoom-in/zoom-out.