Check the risk level of a Solana token before buying it.
Compare up to three tokens side by side on price, volume, and liquidity.
Build a watchlist of tokens that auto-refreshes so you can track them over time.
Get a plain English explanation of what stage a token's hype cycle is in.
| erioluwaaluko-tech/dyor-ai | amureki/sweatbucks | anikchand461/ragbucket | |
|---|---|---|---|
| Stars | 0 | — | 0 |
| Language | HTML | HTML | HTML |
| Last pushed | — | 2025-08-15 | — |
| Maintenance | — | Quiet | — |
| Setup difficulty | moderate | easy | easy |
| Complexity | 3/5 | 1/5 | 2/5 |
| Audience | vibe coder | general | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires both a Birdeye API key and an Anthropic API key.
DYOR stands for "Do Your Own Research," a phrase commonly used in cryptocurrency communities as a reminder to verify claims before investing. DYOR.ai is a web tool for analyzing tokens on Solana (a cryptocurrency blockchain) that automates that research. You paste any token's contract address and receive a full intelligence report in seconds, no wallet connection, no account, and no fees required. The report centers on a risk score from 0 to 100, calculated from six on-chain signals: liquidity depth (how easy it would be to manipulate the price), the volume-to-market-cap ratio (a high ratio can signal a coordinated pump scheme), sudden price spikes in the past 24 hours, how many unique holders the token has, signs of wash trading (fake volume), and whether a small number of wallets are driving most activity. Scores are grouped into three labels: Low Risk (0 to 39), Medium Risk (40 to 69), and High Risk (70 to 100). Alongside the score, the tool classifies the token's lifecycle stage, Early, Growing, Peaking, Distribution, or Declining, and displays a 24-hour price chart sourced from the Birdeye Data API. A plain-English narrative generated by Claude (Anthropic's AI model) explains what the signals mean in accessible language. You can also compare up to three tokens side by side and maintain a watchlist of up to five tokens that auto-refreshes. The backend runs on Python with FastAPI. The frontend is plain HTML, CSS, and JavaScript with Chart.js for the price charts. The project was built for the Birdeye Data BIP Competition Sprint 4 in May 2026.
Paste a Solana token address and get an instant AI-written risk report, no wallet or signup needed.
Mainly HTML. The stack also includes Python, FastAPI, Uvicorn.
The README does not state a license.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly vibe coder.
This repo across BitVibe Labs
Verify against the repo before relying on details.