faskety

faskety / onchain-alpha-radar

Public

Local-first EVM on-chain alpha discovery, enrichment, scoring, and dashboard.

19
16
69% credibility
Found May 17, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

On-Chain Alpha Radar is a local discovery tool that helps you find cryptocurrency projects at the earliest stage — right when they first appear as on-chain activity, before they show up on listing sites or social media trends. The system watches activity across Ethereum, Base, and BNB Smart Chain, records interesting contracts, enriches them with official Twitter accounts and websites, scores them based on signals, and presents everything in a local dashboard for your review. You can run it continuously in the background and come back to a curated list of early projects ranked by confidence.

How It Works

1
🔧 Connect your blockchain data

You enter your credentials to let the system read activity from Ethereum, Base, and BNB Smart Chain.

2
🔍 Watch the chains automatically

The system continuously scans recent blockchain activity in the background, looking for new contracts that show real usage.

3
✨ Fresh projects surface on their own

When a new token, NFT collection, or liquidity pool starts getting attention, the system spots it and adds it to your watchlist.

4
🔗 Official accounts and websites are found

For each discovered project, the system searches for the official Twitter account and website to verify it's legitimate.

5
📊 Review candidates in your dashboard

You open your local dashboard to see all discovered projects ranked by score, with evidence from on-chain activity and social media.

6
Decide what to do with each project
✅
Confirmed

Mark as worth tracking for future reference

👀
Watchlist

Save for later review or monitoring

❌
Reject

Dismiss low-quality or irrelevant findings

🎯 You find projects before they blow up

By reviewing the ranked candidates and making decisions, you build a curated list of early-stage projects worth watching.

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Star Growth

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AI-Generated Review

What is onchain-alpha-radar?

On-Chain Alpha Radar is a local-first system for discovering early EVM projects before they appear on mainstream listings. It watches Ethereum, Base, and BNB Smart Chain activity, finds contracts showing signs of life (mints, transfers, DEX pool creation), enriches them with Twitter profiles and websites, scores them by confidence, and stores everything in SQLite on your machine. The Python backend runs as lightweight background workers, and a React dashboard gives you a command center for reviewing candidates, tracking worker health, and exporting reports. Think of it as a personal early-warning radar for on-chain alpha.

Why is it gaining traction?

The local-first design is the hook. Your data never leaves your machine, and interrupted runs resume from durable watermarks rather than losing progress. The scoring logic is opinionated in a useful way: it separates official project identity from Twitter noise, so a scanner bot mentioning an address does not count the same as the project's real account. Activity mode scanning avoids pulling every block by counting interactions and only checking contracts that cross an observation threshold. The dashboard is genuinely polished, with per-chain status cards, score histograms, tier funnels, and a review workflow that exports CSV or Markdown packs.

Who should use this?

Crypto traders and researchers hunting early alpha on fresh tokens, NFT mints, and liquidity pool launches. DeFi analysts who want to track new project surfaces without relying on third-party dashboards. Anyone running a multi-chain monitoring setup who values keeping their data local and reproducible. It is not for casual users: you need Etherscan and OpenTwitter API keys, and some comfort with running background processes.

Verdict

The README is exceptional, but the credibility score of 0.7% and 19 stars tell the real story: this is a niche, early-stage tool with minimal community traction. The architecture is solid and the feature set is comprehensive, but adoption requires API keys, PowerShell scripts, and a hands-on operator. Worth exploring if your workflow fits the use case, but treat it as a personal tool rather than a production service.

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