IdeaWell

Project ideas from Hacker News discussions.

qm – Multiplayer agent harness for work

Original Article

Hacker News Discussion

📝 Discussion Summary (Click to expand)

1. Preference for human‑written contribution specifications

Maintainers want ideas expressed as plain text, not formal proposals or AI‑expanded documents.

"human‑written ... Please do not have AI artificially expand what you'd like to do into a formal proposal." – john_strinlai

"They specifically ask not to create/submit a formal proposal. I do not see any restriction on the use of AI otherwise." – warkdarrior

2. Concern about AI‑generated “slop” and the need for quality control

Many fear low‑effort, AI‑produced code or design and want stricter vetting.

"Em‑dash (—) is COMPLETELY banned. It is the LLM's signature stylistic crutch and it is the #1 visual tell in production tests." – brianjking

"AI Averages, and is inclined to do average designs and implementations, which in some cases might be an improvement, but long term it creates more to deal with." – ronsor

3. Excitement about multiplayer/multi‑agent harnesses for collaborative work

The discussion centers on tools that let teams share context and run agents together.

"The point is that they just want your prompts, not your code." – tptacek

"I think the interesting challenge isn’t running agents, it’s reviewing their work." – stephenway

These three themes capture the core of the Hacker News thread.

🚀 Project Ideas

PromptCraft

Summary

  • Platform for maintainers to submit human‑written design briefs or feature specs as lightweight markdown files.
  • Provides a vetted marketplace where AI agents can ingest these prompts and generate implementation plans.
  • Reduces noise from low‑effort LLM‑generated PRs while preserving human intent.

Details

Key Value
Target Audience Open‑source maintainers, library authors, and AI‑tool developers
Core Feature Version‑controlled prompt repository with searchable tags and community rating
Tech Stack Node.js backend, PostgreSQL, React frontend, OpenAPI spec for agent hooks
Difficulty Medium
Monetization Revenue-ready: $5/mo per team + optional pay‑per‑prompt for advanced analytics

Notes

  • HN commenters repeatedly ask for “human‑written” guidance instead of formal proposals, making a dedicated prompt store valuable.
  • Could integrate with existing contribution workflows (e.g., adrs/) to streamline gate‑keeping.
  • Early traction likely from projects tired of “drive‑by PRs” and seeking higher‑quality AI‑generated code.

ADR-Guard

Summary

  • Auto‑generates CI tests from human‑written ADRs to validate generated code quality.
  • Bridges the gap between “human‑written design” and “machine‑produced implementation” by ensuring specifications are honored.
  • Provides a simple “spec‑to‑test” pipeline that can be run on every PR.

Details

Key Value
Target Audience Open‑source maintainers who accept AI‑generated contributions
Core Feature Generates unit/integration tests that must pass before AI‑written code is merged
Tech Stack Python, FastAPI, Pytest, Docker, GitHub Actions integration
Difficulty Low
Monetization Hobby

Notes

  • Many maintainers expressed frustration reviewing “slop” – a test suite generated from clear specs would make review faster.
  • Allows contributors to demonstrate that their human prompt covered edge cases, improving confidence.
  • Potential to become a standard CI step in AI‑centric OSS projects.

AgentSync

Summary

  • Open‑source framework for coordinating multiple AI agents within a single repository, enabling shared memory and role‑based permissions.
  • Solves the “multiplayer” need by providing a lightweight, self‑hosted backend for stateful agent collaboration.
  • Aimed at teams that want agents to work on separate tickets while still accessing a common context.

Details

Key Value
Target Audience Engineering managers and maintainers building AI‑augmented workflows
Core Feature Shared Postgres‑backed state store with permission layers and activity logs
Tech Stack Go, PostgreSQL, WebSockets, Auth0‑compatible RBAC, Docker Compose
Difficulty Medium
Monetization Revenue-ready: $10/user/mo for hosted SaaS, self‑hosted edition free for hobbyists

Notes

  • Multiple HN threads discuss “multiplayer” agents and the lack of a shared context solution.
  • Provides a concrete answer to “how to run many agents simultaneously without chaos”.
  • Early adopters could be startups already using Claude Code or similar harnesses.

ProposeLab

Summary

  • CLI tool that converts free‑form human‑written feature requests into structured “spec‑ready” markdown templates.
  • Validates prompts against a configurable rubric (e.g., clarity, feasibility, impact) before accepting them.
  • Generates a numbered issue label and optional CI checklist to gate implementation.

Details

Key Value
Target Audience Open‑source contributors who want to submit human‑written ideas without clutter
Core Feature Prompt templating, validation, and issue creation automation
Tech Stack Rust, Clap, SQLite for rubric storage, GitHub CLI wrapper
Difficulty Low
Monetization Hobby

Notes

  • Discussion highlighted the need to “not create a formal proposal” but still give clear guidance; ProposeLab automates that.
  • Could be packaged as a GitHub Action to auto‑label incoming markdown files.
  • Appeals to maintainers who want a clean pipeline of vetted human prompts.

Read Later