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sushant6095/fomo-firewall-birdeye

Analysis updated 2026-05-18

0TypeScriptAudience · vibe coderComplexity · 3/5Setup · moderate

TLDR

A Solana risk tool that scores tokens on how likely you are to become exit liquidity for insiders quietly selling.

Mindmap

mindmap
  root((FOMO Firewall))
    What it does
      TrapScore 0-100
      Detect exit liquidity
      Verdict bands
    Tech stack
      TypeScript
      Next.js
      Birdeye API
    Use cases
      Check before buying
      Telegram alerts
      Continuous monitoring
    Surfaces
      Web app
      Bot
      Extension

Code map

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filefunction / class

What do people build with it?

USE CASE 1

Check a token's TrapScore before buying to see if insiders may be selling to you.

USE CASE 2

Get alerts through a Telegram bot when a token crosses into a risky verdict band.

USE CASE 3

Monitor tokens continuously with the background worker surface.

USE CASE 4

Deploy your own instance to Vercel with a single click.

What is it built with?

TypeScriptNext.jsTailwindBirdeye API

How does it compare?

sushant6095/fomo-firewall-birdeye0xradioac7iv/tempfsabboskhonov/hermium
Stars000
LanguageTypeScriptTypeScriptTypeScript
Setup difficultymoderatemoderatemoderate
Complexity3/53/54/5
Audiencevibe coderdeveloperdeveloper

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Requires a Birdeye API key, production use needs a Supabase database swap.

The README does not state a license.

In plain English

FOMO Firewall is a Solana cryptocurrency risk tool that inverts the usual question asked by trading tools. While most crypto tools tell you what to buy, this one tells you when you should not buy, specifically when smart wallets, developer-tagged addresses, and large holders are quietly selling to retail buyers who are chasing a rising token. The project calls this pattern being used as "exit liquidity." The core feature is a TrapScore from 0 to 100, built from seven independent signals: Smart Money Divergence, Insider Exit Pressure, Liquidity Fragility, Sell Pressure While Green, Holder Concentration Risk, Static Token Risk, and Abnormal Volume-Liquidity Ratio. Each signal is capped at a maximum contribution, and the final sum is grouped into four verdict bands: Clean Pump (0 to 30), Risky Chase (31 to 60), Exit Warning (61 to 80), and Critical Trap (81 to 100). Every verdict includes named evidence showing which data source it came from. The data comes from the Birdeye API, which provides on-chain Solana token data. The app enriches each token by calling multiple Birdeye endpoints in parallel, then runs the scoring model. Scores are cached for 60 seconds and refreshed on demand. The tool supports four delivery surfaces: a Next.js 15 web app, a background worker for continuous monitoring, a Telegram bot for alerts, and a browser extension. The codebase is TypeScript with Tailwind for styling, and it can be deployed to Vercel with a single click. The in-memory database is designed to swap to Supabase for production without changing the surface code. The full README is longer than what was provided.

Copy-paste prompts

Prompt 1
Explain how the seven TrapScore signals combine into one final score.
Prompt 2
Help me deploy this Next.js app to Vercel with the Birdeye API configured.
Prompt 3
Show me how to swap the in-memory database for Supabase in production.
Prompt 4
Walk me through setting up the Telegram bot alert surface.

Frequently asked questions

What is fomo-firewall-birdeye?

A Solana risk tool that scores tokens on how likely you are to become exit liquidity for insiders quietly selling.

What language is fomo-firewall-birdeye written in?

Mainly TypeScript. The stack also includes TypeScript, Next.js, Tailwind.

What license does fomo-firewall-birdeye use?

The README does not state a license.

How hard is fomo-firewall-birdeye to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is fomo-firewall-birdeye for?

Mainly vibe coder.

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