Alternatives
Products that do what Terrapin – self-serve fixed income data API does
Hi there, We've spent the last couple of years building our fixed income data API, but so far you had to contact us to get access. This release is targeted towards the fintech community. We understand the difficulties of sourcing fixed income data, and dealing with all the restrictions and countless calls with customer representatives. You can now register, get an API key, and start fetching bond data in minutes, without having to speak to anyone - a first in the fixed income data space. We are making a subset of our government and corporate bonds available via our self-serve API, with…
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Hey everyone! I'm Rob and I want to share what I've built - a solid ledger behind simple API: https://decimals.app The ledger is a key piece of any financial system and is easy to get the design wrong, resulting in troubles for making sure money movements are adding up. I took a lot of inspiration from good designs from Square, Uber, and others for the scalability and security aspects. And on the usability side, I applied many concepts from the Ledger CLI, making it very easy to use. I'm really happy I get to show this to you all, thank you for reading about it! Please let me know…
2020
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It's at http://finkin.com. The goal is to allow a developer to sign up in seconds, and within minutes begin querying data. It runs under https and stores no access information. From http://news.ycombinator.com/item?id=1431583, I realized that all those types of sites are not tailored to developers like the other simple APIs around the web are (i.e. flickr). I made mine as simple as I thought possible. From http://news.ycombinator.com/item?id=1676458, I realized that eventually it should be a scalable model where you pay pennies per the # of requests you make. Right now it supports many…
2010
- 7CI
Abstract. Token-funded bounties to incentivize competition-style participation in blockchain development projects would result in wider and better allocation of investment, and allow investors to diversify exposure across a field of potentially successful projects. Overall this would increase the rate of progress within development of the blockchain space. We propose a centralised platform for the administration of token-funded bounty driven development projects whereby experts allocate pools of invested capital according to the technical merits of development projects, and investors are…
2017
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Hey! We’ve built a data extraction tool to flexibly automate data and document processing. You’ve probably seen a few of these, so have we! A few of us have been varyingly stuck trying to automate the extraction of borrower financials for the past 5 years. We think that there are a few missing features of most data extraction tools. * They are usually too complex to quickly get up and running * They are overly constrained in terms of what workflows and documents they support We’ve always felt like speed and flexibility were sticking points, so we went slightly orthogonal to the alternatives.…
2024 · go.sea.dev
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Hi there HN, just wanted to share a little project I've been working on for some time: a coinmarketcap.com Python (API) wrapper. As coinmarketcap does not provide any API endpoints, the code is pretty dirty and should be considered as a scraper more than a real API wrapper. Example usage: >>> import coinmarketcap >>> coinmarketcap.market_cap('bitcoin') $ 7,644,402,276 Everything is well documented in the README but if you have questions, don't ask. Hope you enjoy it, issues and PR on Github are more than welcome. (https://github.com/c0ding/coinmarketcap-api)
2015
- 10RA
I've been using this daily for 4 months and figured others might find it useful. This is my first open source project so would love any feedback. Ray connects to your bank via Plaid, stores everything in an encrypted local SQLite database, and lets you ask questions about your finances in natural language. No cloud, no account, your data is stored on your machine. Before anything reaches the LLM, all PII is stripped — your name, companies, transaction details are redacted and replaced with tokens, then rehydrated locally in the response. The AI never sees who you are.
Apr 2026 · rayfinance.app
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I posted this a few weeks ago and the server died under the traffic. Fixed that by adding an in-mem caching layer with Redis/valkey and added CloudFront caching for static content. Also upgraded the server. Also fixed the Firefox bugs, trying again. It's a research tool for US stocks. Financials for ~10k companies pulled from SEC filings. You can chart any metric across companies, filter news by ticker, ask questions in plain English and get a chart back. There's also SQL console against the whole database, which is the part I like to use together with the AI chat (generates an SQL…
Jun 2026 · terminal.tesseractanalytics.ai
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Hey HN, I’m the founder of SyncAI. Previously, I was building internal tools for a fintech startup. We tried using GPT-4 Vision and various OCR APIs to automate our Accounts Payable. They worked great for ~90% of documents. The problem was the other 10%: crumpled receipts, handwritten delivery notes, or invoices with weird layouts. In fintech, a 90% success rate isn’t automation; it’s a liability. We spent more time fixing the AI’s hallucinations than if we had just typed it manually. I realized that for high-stakes operations, we didn’t need "better AI"—we needed a Safety Layer. So I built…
Jan 2026 · sync-ai-11fj.vercel.app
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Hi HN, We’re a small team working on 13Radar.com, which we launched about two weeks ago after 4 months of development. I’m the founder, and together with the team we’re building a platform that tracks hedge fund portfolios in real-time based on SEC Form 13F filings. AI has been a major helper in our workflow. For a single webpage, we often consult multiple AI systems in parallel, generating different versions and comparing them side by side before deciding on the final design or implementation. More than 60% of the research, design, and coding involved AI assistance. For UI design we used…
Nov 2025 · 13radar.com
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Back in February, I hacked together this little site to show the spread between Bitcoin priced in Tether and Bitcoin priced in USD: http://www.untether.space/ Until today, it's never gone much beyond 1%; as I write this, it's at 8.4% and climbing. It's a dead-simple Ruby/JS app with zero server-side storage, hence the lack of historical data. Source code here: https://github.com/jpatokal/untether
2018
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Process over 400K bonds and fixed income secrurities
20d ago · atlantisdatasolutions.com
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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…
2019
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Hey HN, I'm Steve, co-founder of Factor.fyi, a new data platform for querying and visualizing financial datasets using SQL. During the pandemic, I took much more of an active role in managing my portfolio. I wanted to be able to make informed decisions about the investments I was making, and explore financial data in new ways. Market and Econ data are some of the most talked-about and widely-available datasets out there, but I was frustrated by the lack of options to answer questions I had, like, "What would have happened if I had started dollar-cost averaging VTI back in 2013?"[1] Or, "How…
2022 · factor.fyi
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https://github.com/jxchen/DailyDealScrapers On the Groupon IPO thread someone mentioned people selling scraped groupon deal data. To satisfy my curiosity I made my own. Pretty interesting to play around with the data and see how much money their deals are making.
2011
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Hey everyone, we built a local-first, open-source framework to allows you to export and build applications with your personal data. This August, we built a digital footprint exporter (https://news.ycombinator.com/item?id=41325719) that allowed people to get back their personal data, but there was no way to interact with it. So we added a python package, improved the reliability of the exporting, and implemented a unified JSON structure across platforms. How it works: - Electron’s built-in webview element is used to navigate to the platform’s website and the user can connect…
2024 · docs.surferprotocol.org
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Hi there! I've been working with data in one form or another, professionally, for about 5 years. I've been thinking about my own personal data and how it's used for at least twice that long. I've been sort of building something in my head for a while that solves my own problem and, in the beginning of this year, I found the opportunity to spend some time building it out. I'll leave the detailed explanation to the blog post but, in short, I built what amounts to an API crawler combined with a data processor to help you download your personal data from 3rd party services and work with it using…
2024 · joshcanhelp.com
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I’m building a public dashboard to track all the investments I make for my newborn son. Crypto, dividends, growth, milestones. You can follow the project here: [mattiasassets.com] Feedback welcome!
2025 · mattiasassets.com
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Hey HN! Excited to show off Yuzu, the stock market and Crypto API we wish we always had. We built Yuzu to solve a problem we had while working on a prior project: current market data APIs are not built to enable rapid prototyping and scaling without a significant amount of upfront data engineering. In our previous app, a portfolio tracker, we had to ingest 30 years of historical data for stocks, crypto, ETFs, and mutual funds just so that we could re-expose that data to our frontend in a more efficient way. The number of API calls we would have had to make otherwise have made the app…
2022 · yuzu.dev
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Hello HN, Lucas here. I’ve been working with BigQuery for ~5 years, mostly in large (petabyte-scale) environments. Over time we ended up spending a lot of money and engineering effort just trying to understand where costs were coming from, why and how to optimize them. At some point we decided to stop, leverage all our past experience and spend a full cycle building tooling focused on cost visibility and optimization. The main goal was to regain ownership of cost data and make it possible to understand our cost structure in under a minute, while aligning the views of engineering and FinOps…
Jan 2026 · cloudclerk.ai
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Hey HN! I’m one of the co-founders of Ampersand and we’re excited to launch our developer docs today! Ampersand is built for SaaS engineers who want to: - Read data from their customers’ SaaS (e.g. Salesforce, Hubspot). - Write data to their customers’ SaaS. - Subscribe to events happening in their customers’ SaaS (including creates, deletes and field updates). We feature a Terraform-like declarative interface for defining integrations, embeddable UI components for your users to set up and manage their integrations, and a management console for your team to monitor and troubleshoot. We’re…
2023 · docs.withampersand.com
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