Skillwave – agent orchestrator with async comms and goal-alignment loop

Hacker News

Skillwave is a seed repository for scaffolding end-to-end projects with an autonomous agent workflow. You give it a GOAL.md file with roughly 50–100 user stories, and it decomposes the work into tasks, dynamically creates distinct roles, assigns tasks and executes via subagents, and keeps going until everything all requirements met or all tasks are blocked on user input. A few design choices that may be interesting/novel: - INBOX.md for async user communication, so questions don't halt the whole system - GOAL.md as the persistent source of truth across sessions - Git commit per completed task(s), linked back to the backlog - A periodic goal-alignment loop that re-checks the backlog every 5 completed tasks - All state stored in Markdown and Git rather than a separate database I tested it on several projects and got better results than I expected, so I cleaned it up and open-sourced it.

Visit product View on Hacker NewsMar 30, 2026

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Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, user · Missing: mac, macos, cursor

94%94% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Strong signals: para · Missing: supports, reddit linkedin, podcasting

43%43% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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