LedgerBrain
Chain analysis for those who can't afford chainalysis
What it does
Assess risk of cryptocurrency transactions, screen wallets, and stay compliant. Real-time monitoring across Bitcoin, Ethereum, Solana, and more. Get realtime Risk scores
Does a similar job
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- TWTrack whether cryptocurrencies are being used and for what2024 · app.chainspy.net · ▲7
Hey HN, I'm Jake, and I created Chainspy, a website that aggregates and visualizes on-chain metrics across multiple blockchains like Bitcoin, Ethereum, and others. It's designed to give you insights beyond just price data. Why Chainspy? - On-Chain Metrics: Track blockchain activity (e.g., transactions, active users) across multiple networks, all in one place. - Advanced Charting: Visualize blockchain data with integrated TradingView charts. Ideal for comparing blockchain performance over time. - Wealth Distribution: See how wealth is distributed across wallets and spot centralization trends.…


- CCChainsage – Cryptoasset Market Data2018 · ▲9
Hi everyone, we recently launched our cryptocurrency pricing site we have been working on for a few months: https://chainsage.com Currently we are aggregating data from 200+ exchanges for 2000+ assets. Being cryptocurrency enthusiasts and investors ourselves, we were frustrated with the lack of filtering/sorting options existing providers of similar data had. For example, here's a live dashboard of assets with at least $100k in trading volume and a 10%+ USD price increase in the last 24 hours:…
More commerce this month
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Compare your startup equity grant for free.
Commerce · 27d ago · equitybee.com
Launched alongside, May 2026
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Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai


- NW
Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com
- FM
Dev tools · May 2026 · github.com