Alternatives
Products that do what Tychefy does
Data-driven lottery shortlists
- 1EA
2015 · etherpot.github.io
- 2LW
Some technical context on what we ran into building this. MCP tools don't really work for financial data at scale. One tool call for five years of daily prices dumps tens of thousands of tokens into the context window. And data vendors pack dozens of tools into a single MCP server, schemas alone can eat 50k+ tokens before the agent does anything useful. So we auto-generate typed Python modules from the MCP schemas at workspace init and upload them into the sandbox. The agent just imports them like a normal library. Only a one-line summary per server stays in the prompt. We have around 80…
Apr 2026 · github.com
- 3PA
2014 · blog.michaelsu.io
- 4HF
2024 · github.com
- 5IJ
Backstory: I wanted to play with intraday stock data but couldn't find a free dataset anywhere. IEXCloud [1] offers API access to 1-minute granularity intraday historical price data, but I was worried that it could get expensive or unwieldy to build up a substantial dataset via API calls. Plus, IEX gives out their raw data for free. I probably should have just used the IEXTools python library [2] to parse IEX's raw data dumps, but I was working on a Julia project, so it felt more thematically appropriate to build a new tool from scratch. I haven't been actively using InvestorsExchange.jl a…
2022 · github.com
- 6HO
2019 · tardis.dev
- 7AO
2020 · github.com
- 8QI
2017 · quantra.io
- 9DF
My main motivation was that I wanted to be able to drill down and filter across all the available stocks, look at the data for myself, and narrow down on the stocks I am interested based on my own sets of criteria, and make data-driven analysis for my personal investment strategies. I used PostgreSQL as the backend database for ELT data pipelines, and used Citus Data cstore_fdw for columnar compression for the final dataset. All financial data is coming from SEC Edgar, https://www.sec.gov/developer. I used Python for downloading most of the data. I also run the data load…
2023 · tesseractanalytics.ai
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- 11VA
Wrote this to learn more about the `chumsky` parser combinator library, rustyline, and the `ariadne` error reporting crate. Such a nice DX combo for writing new languages. Still a work in progress, but I thought I'd share :)
2025 · github.com
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- 14AE
2015 · tradewave.net
- 15
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- 17IM
Hey HN, As someone who geeks out on both investment data and privacy tech, I built Capitally to scratch my own itch. It's encrypted on-device so that once I can afford to hire a second engineer, he cannot peek into my own data! I wanted a way to monitor ALL my investments (stocks, crypto, real estate, angel investments, etc.) in one place and really dig into the data - but without compromising my privacy. Here's how Capitally makes that possible: On the data side: Import data from CSVs, spreadsheets, or any other source via a flexible no-code editor Map any data format into a standardized…
2024 · mycapitally.com
- 18WA
2017 · github.com
- 19LJ
2017 · github.com
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- 21FF
finagg is a Python package and CLI that enables you to aggregate and update free financial data from a handful of high quality data sources all within your own SQL database. Here're some quick facts about it: - Implements nearly all of the BEA API, FRED API, and SEC EDGAR APIs (all of which have free and nearly unlimited data access) - Only focused on macrodata (no intraday data support) - Provides methods for transforming data from these APIs into normalized features that're readily useable for analysis, strategy development, and AI/ML - The most popular methods include getting…
2024 · github.com
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- 24TA
Hi HN! This Christmas I made `tysm`, a rust crates which simplifies using ChatGPT with Structured Outputs. Essentially you just tell it the rust type you want the output to conform to, and it handles creating the JSON Schema, passing it to ChatGPT's chat-completions API, and deserializing the response. Structured Outputs are very useful because they guarantee that the response will conform to whatever type you expect. I'm already finding my crate very useful since I love using Structured Outputs but I hate writing JSON Schemas myself. Technical details for rust heads: To generate the JSON…
2024 · github.com
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