Review a landlord deposit dispute for legal violations
A tenant used ChatGPT and Gemini to review a landlord's apartment deposit dispute, identify legal violations, and avoid losing $4,200.
A commenter says Replit's agent built a working scanner for buy order imbalances using demo credits.
A commenter says Replit's agent built a working scanner for buy order imbalances using demo credits.
In the comments, one reader says they used Replit’s AI agent to build a working scanner for buy order imbalances while trading U.S. and Australian stocks. The source gives almost no build detail beyond that it was done with Replit Agent and only the included demo credits, and the commenter frames the value mainly as getting something functional without prior experience.
The stated result was a working scanner, which the commenter found impressive for a novice. They gave no performance metrics, implementation specifics, or limits, so the outcome is only lightly substantiated by the thread.
The clearest practical catch is that the commenter says they did it using only demo credits and had no experience in the field.
Build a scanner that watches [market or ticker list] using [data source or demo credentials] and flags when buy orders significantly outweigh sell orders, with a threshold of [ratio]. Show the results in a simple dashboard and make it clear that it is read-only with no trading. Finish when it runs on live or demo data and shows at least one example flag.
A tenant used ChatGPT and Gemini to review a landlord's apartment deposit dispute, identify legal violations, and avoid losing $4,200.
The poster used an AI assistant to summarize a denial PDF to draft an appeal, but it invented an appeal deadline.
Poster used Claude over a weekend to plan and build a self-hosted app that organizes receipts for an accountant and replaces paid bookkeeping software.