US Congress Stock Trading API examples & templates

An interactive, runnable TypeScript val by weaverwhale

Forked from stevekrouse/currency

@jsxImportSource https://esm.sh/react

Deno Fresh Charts Example Cobbled together from here: https://github.com/denoland/fresh_charts/tree/main/examples Render charts as HTML or as images. This image is rendered by the val below:

Forked from radu/currency

An interactive, runnable TypeScript val by jonbo

An interactive, runnable TypeScript val by onemanwenttomow

* This clicker game allows users to earn virtual money by clicking. * It includes an upgrade system where users can purchase multiple auto-clickers, dime-smithers, quarter-makers, dollar-mills, twoonie-transformers, fiver-factories, ten-trackers, twenty-detectors, fifty-forgers, and hundred-hewers. * Each upgrade adds to the overall effect, increasing earnings per second. * Upgrades are hidden until they are unlocked for the first time. * The game state is stored client-side using localStorage for persistence. * React is used for the UI, and setInterval for the auto-upgrade functionality.

// Convert 100 British pounds to US dollars

Forked from movienerd/clickerGame

Data for @stevekrouse.sparklineEx

Forked from robsimmons/aoc_2023_12_dynamic

* Solana Actions Example

Hardware Startup 2024 Bingo Made with Claude Artifacts

SQLite Explorer View and interact with your Val Town SQLite data. It's based off Steve's excellent SQLite Admin val, adding the ability to run SQLite queries directly in the interface. This new version has a revised UI and that's heavily inspired by LibSQL Studio by invisal . This is now more an SPA, with tables, queries and results showing up on the same page. Install Install the latest stable version (v86) by forking this val: Authentication Login to your SQLite Explorer with password authentication with your Val Town API Token as the password. Todos / Plans [ ] improve error handling [ ] improve table formatting [ ] sticky table headers [x] add codemirror [ ] add loading indication to the run button (initial version shipped) [ ] add ability to favorite queries [ ] add saving of last query run for a table (started) [ ] add visible output for non-query statements [ ] add schema viewing [ ] add refresh to table list sidebar after CREATE/DROP/ALTER statements [ ] add automatic execution of initial select query on double click [x] add views to the sidebar [ ] add triggers to sidebar [ ] add upload from SQL, CSV and JSON [ ] add ability to connect to a non-val town Turso database [x] fix wonky sidebar separator height problem (thanks to @stevekrouse) [x] make result tables scrollable [x] add export to CSV, and JSON (CSV and JSON helper functions written in this val . Thanks to @pomdtr for merging the initial version!) [x] add listener for cmd+enter to submit query

What's that in Hot Dogs? Inspired by the 2014 Boston Baseball Hackday submission, this val shows how many hot dogs a baseball player can buy in a year based on his annual salary and the average price of a hot dog sold at their home team's stadium. Back then, the team spent most of the hackday time collecting data, building s javascript app from scratch and then deployed to Heroku. It took some time. It had much nicer design, artwork, styling, etc to be sure. I wanted to see how quickly a similar app could be created and made available on Val.town 10 years later. I asked Chat GPT to build the app: You are a javascript web developer and a baseball fan. Build a web app using Hono called "What's that in hot dogs?". The app should let you select a baseball player. Based on 1) the player annual salary calculate the number of hot dogs they could buy based on the average price of a hot dog sold at their stadium. For example, Mike Trout played for the Los Angeles Angels and makes $35M per year. The Los Angeles Angels play at Angel Stadium a hot dog costs $8. That means he can buy 35,000,000/8 = 4.375M hot dogs. The app lets you pick a player and then will display an emoji icon of a hot dog. One emoji hot dog is worth 100,000 hot dogs. So picking Mike Trout will show 43.75 (or 44) hot dog icons. It worked! But, it only had one player's worth of data. The app needs more player salary and hot dog price data. Find the top players in each MLB team, their salary, and the price of a hot dog at their home stadium. I then asked for a small improvement: Improve the app by also showing the team the play plays for, the stadium, salary and price of the hot dog. Include it in a nice table below the hot dog emoji list. Within 10 minutes, I had a working "What's that in Hot Dogs?". I then re-worked the headings and added a legend and it matched what I remember seeing back in 2014 ... but built and deployed in minutes versus hours. Note: Much of the 2014 team's time was spent collecting data manually by looking up players' salaries and finding the cost of a hot dog at stadiums. In this example, I've not validated that ChaptGPT correctly identified these figures.