Crypto & DeFi Data Pipeline
Automated datasets & bot templates. Updated daily.
What it does
Daily-updated Crypto & DeFi datasets + Python bot templates powered by GitHub Actions. What's included: BTC, ETH, SOL, BNB, XRP — 365 days OHLCV + 17 indicators Uniswap, Aave, Curve, Lido — 365 days TVL history Python bot templates to run your own pipeline for free No server needed. Setup in 10 minutes. Runs forever on GitHub Actions.
Does the same job
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Hi HN , I got tired of writing the same boilerplate over and over — DB setup, auth, routes, security — every time I built a backend. So I built Pipo360 — an AI-powered tool that generates production-ready backends in under 60 seconds, from just a plain-text description. How it works: Type what you need “Create a task management API with user auth and MongoDB” Hit Generate Get real, exportable code Auth (JWT) Database schema CRUD routes Deployable to Vercel, AWS, etc. No templates. No lock-in. Just code that works. Why it’s different: Built with Gemini AI + human supervision (to ensure real…
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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:…
- POPrice Oracle for Decentralized Finance Apps2019 · ▲7
We built a data feed oracle to write prices on-chain, and it’s live on the Ropsten test network! In Decentralized Finance (Defi), you can build your own financial instruments and you often need an oracle to write off-chain prices onto the blockchain. We built an oracle focused on data feeds because the current options are too expensive and slow for regularly, repeating data. This oracle is designed for price feeds and uses public key encryption to validate the data submitted is accurate. We modeled our oracle off of MakerDao and generalized the design to work with any datafeed. We’re…
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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…
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