4. How It Works
Under the hood. Zap combines:
NLP to scan social platforms for new token chatter
On-chain transaction clustering
Solana program parsing for contract safety flags
Real-time wallet monitoring
Proprietary scoring model (Vibe Score™)
All done instantly when you type or paste in a coin name, ticker, or contract.
🧠 Step 1: Input Recognition
Users can enter:
A token name (e.g. “FrogChad”)
A ticker (e.g. “$FROGCHAD”)
A Solana contract address
A wallet address
Or even a full tweet or image in future updates
Zap instantly detects the input type and routes it through the right scanner.
🔍 Step 2: Hype Detection Engine
If the input is a name or ticker, Zap runs a multi-layered hype check across:
Twitter/X (mentions, hashtags, velocity, emoji patterns)
Telegram (group creation, member surge, URL detection)
pump.fun / boop.fun / dexlaunch platforms
Solana on-chain volume and unique holder count
This data is fed into our Trend Velocity Model, which outputs:
📈 Momentum Score (is it rising or cooling?)
🌐 Platform Density (how many places it’s being talked about)
🕒 Early/Mid/Late classification (based on time + hype curve)
🧬 Step 3: Smart Contract Decompiler
If the input is a CA, Zap runs a full scan to flag any traits of:
Honeypots
Mint function abuse
Trading limits
LP unlocks / LP migration possibilities
Hidden tax mechanics
Ownership status and renounce check
Contract age + deployer ties
Our contract scanner uses a deep decompiler to match patterns against known rug behaviors, then outputs a Risk Level:
✅ Safe
⚠️ Medium Risk
🔴 Likely Rug
This is also visualized as part of the final Zap Report™.
🐋 Step 4: Wallet Intelligence System
If the user inputs a wallet or if a token is already being scanned, Zap runs a wallet sweep:
Who launched this token?
What wallets have recently bought in?
Are sniper wallets involved?
Did any “Top ROI” wallets just exit?
Zap maintains a dynamic database of wallets tagged as:
“Sniper Wallet”
“Pump.fun Farmer”
“Top ROI Trader”
“Exit Wallets”
“Serial Rug Deployer”
The platform assigns a Wallet Confidence Score to the token based on what kind of wallets are interacting with it.
🔮 Step 5: Vibe Score Generation
Zap’s proprietary Vibe Score™ is a blend of:
Social meme analysis (buzzwords, themes, cultural alignment)
Image/logo recognition (if applicable)
Velocity of interest
Community reaction (memes, reposts, traction)
It’s not just “is this trending?” — it’s does this feel like a real meme moment?
Scores are scaled from 0–100.
75 = “Meme Gold”
40–75 = “Worth Watching”
<40 = “Weak Narrative” or “Dying”
📄 Step 6: Zap Report™ Output
Once analysis is complete, Zap generates a fully formatted token summary called a Zap Report, featuring:
Token name / ticker
Contract status
Launch method
Hype metrics
Vibe Score
Wallet signals
Final Summary: 🔥 Watch | 😐 Mid | 🚫 Avoid
These reports can be:
Saved to your dashboard
Shared as links
Minted as collectibles (Zap Report NFTs)
Used to build leaderboards and trend archives
🛠 Behind the Scenes: What Powers Zap?
Zap is powered by a combination of:
Python + Rust backend scanning tools
Solana RPC & compressed metadata for fast blockchain reads
Open-source NLP models trained on crypto discourse
Real-time indexers pulling from pump.fun, dexscreener, and X
A proprietary AI scoring engine trained on hundreds of meme coin outcomes
We optimize all output for clarity, speed, and meme trader relevance. No fluff, no overkill. Just signal.
🧩 Optional: Zap Packs & Custom Filters
For users who want deeper control, Zap supports modular Zap Packs that adjust:
Risk tolerance
Wallet type prioritization
Hype weight
Meme scoring style
You can select your Pack (e.g. “Cult Pack” or “Whale Pack”) to change how Zap sees the market — like switching lenses on a camera.
✅ End Result
In under 5 seconds, Zap turns raw crypto noise into a clean, readable, actionable insight file. It’s not here to replace your gut — it’s here to back it with data.
Paste in a token. Zap does the rest.
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