Hacker News

https://words.filippo.io/seeds-solved/

I've been through many finance tracking apps, starting with Personal Capital, then Monarch, and most recently Copilot. None of them have worked perfectly for my needs.

All of these apps tend to model “cash flow” as the net sum of your transactions during a month, yet while credit card charges are reported immediately, they are typically deducted from checking (cash) accounts the following month when the bill is due. As a result, I've always had to maintain a separate spreadsheet to track my actual cash flow.

These apps also have a huge focus on managing budgets, which has never been for me. My spending is rarely consistent month-to-month, so every month I'm comparing my fully justified spending against my budget, and tweaking my budget until I “pass”.

So I built yet another finance tracking app. It has the usual components - accounts, transactions, categories - but the core is a cash flow projection engine, and everything else is built around it.

Budgets are gone. Instead, each income/spending category is projected forward from your historical activity, but not as a flat monthly number. They land in whatever account you historically use (e.g. checking account for paychecks/rent/bills, credit/debit cards for daily spending). Credit card payments are modeled automatically based on your projected credit card balance. You can set up your own recurring transfers between accounts as well, to model savings, for example.

The end result is that the app can forecast how your cash moves, and you can see in advance when any account might run low. If all of your accounts look good for the next 12 months, maybe you don't have a budgeting problem.

What’s made the biggest difference for me has been the MCP integration, which I have connected to Claude (but can be connected to any AI agent of your choice). I have asked it to import historical transactions by uploading PDF account statements, categorize/tag all transactions that took place while I was on vacation, and plan transfers across my accounts to cover expected payments.

I hope some people that share my frustrations will find this app useful.

https://twitter.com/internetarchive/status/21111409457059637...

I've refreshed StarSkirmish Bench, a benchmark where LLMs play StarCraft BW by writing code, with results from the flagship models of OpenAI, Anthropic, Google, and Muse

https://www.youtube.com/watch?v=7p5LxFdc-Qg

https://twitter.com/Tesla/status/2110788059008819215

Wonderhop is a small browser game with no account needed to play, everyday there are 4 rounds of 7 quesitons like "Name a food that a lot of people hate" The goal depends on the mode: Either gives the answer most people would give, the one no one would give, the oldest answer or the most recent one and there's a leaderboard for the day.

The most interesting part of the project was understanding answers that are typed freely and in 10 languages, there was some typos, plurals, nickname, or even duplicate way of sayign the same thing. We needed AI judge that checks it really existes conencted to some API like wikipedia to judge the veracity of each answer really quickly (less than 1s on average)

The percentage starts from an estimate but move really fast with the answers of real players. If the list missed a good answer, it gets added as soon as a few different players give it.

(There are also a lot of secrets and pop culture references added in the game :) )

A large part of the code was written with AI tools, but the artistic direction the concept and every choice design are human-made

We'd love to know if the goal is clear from the very first question while playing and were any good answers rejected unfairly

We are a couple of developers from Montreal that like guessing games so we built this in about two month.

Thanks a lot!