🚀 Project Ideas
Generating project ideas…
Summary
- Provides an interactive web interface that evaluates any chess position for forced win, draw, or loss using engine search and tablebase data.
- Gives users a clear, objective outcome and the minimal depth to that outcome, eliminating ambiguity in engine advantage scores.
Details
| Key |
Value |
| Target Audience |
Chess players, coaches, and engine developers seeking definitive outcome information. |
| Core Feature |
Real‑time forced‑outcome detection with depth and line visualization. |
| Tech Stack |
Node.js + Express, React, Stockfish.js, PostgreSQL for caching tablebase queries. |
| Difficulty |
Medium |
| Monetization |
Revenue‑ready: Freemium with premium engine access and API usage tier. |
Notes
- HN commenters lament the lack of objective win/draw/loss data; this tool directly addresses that pain point.
- Useful for training, opening preparation, and engine comparison discussions.
Summary
- A browser extension for popular online chess platforms that introduces a “doubling cube” mechanic, allowing players to offer or accept risk multipliers based on engine‑derived advantage and match score.
- Helps players make informed risk‑taking decisions in real time.
Details
| Key |
Value |
| Target Audience |
Online chess players, tournament organizers, and streamers. |
| Core Feature |
Real‑time risk assessment UI, automatic calculation of expected value for accept/reject, and visual risk meter. |
| Tech Stack |
Chrome/Firefox extension APIs, WebSocket integration with chess.com/Lichess, lightweight Python backend for engine calls. |
| Difficulty |
Medium |
| Monetization |
Hobby (open source) with optional donation link. |
Notes
- Addresses the desire for a “2xELO penalty” or doubling mechanic that was discussed; offers a concrete implementation.
- Sparks discussion on how risk can be quantified in deterministic games.
Summary
- A web service that aggregates pre‑computed forced‑outcome data for chess, backgammon, Go, and bridge, providing a unified API for game‑theoretic analysis.
- Enables researchers and hobbyists to query the minimal program or strategy that guarantees a win/draw.
Details
| Key |
Value |
| Target Audience |
Game theorists, AI researchers, and advanced players. |
| Core Feature |
Unified database of forced outcomes, minimal depth, and strategy scripts for multiple deterministic games. |
| Tech Stack |
Go for backend, Redis for caching, GraphQL API, Dockerized deployment. |
| Difficulty |
High |
| Monetization |
Revenue‑ready: Subscription for commercial research use, free tier for academics. |
Notes
- Directly responds to the theoretical interest in “the smallest program that can guarantee your side to win/draw” and the comparison to backgammon’s doubling cube.
- Provides a practical tool for exploring the concepts discussed in the HN thread.