Launch Intel
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Build and manage durable workflows by talking to Claude

Hacker News

Build and manage durable workflows by talking to Claude

Every AI workflow tool I've seen works the same way: bolt AI on top of an existing builder, inheriting all its boundaries. Zyk flips that. Claude is the interface. You describe what you want, it builds and deploys it. Retries, scheduling, human-in-the-loop approval all built in. Zyk UI handles diagrams, task list, and run history. Hatchet runs durable execution underneath. The demo is a GitHub issue triage workflow: triggers on critical/production labels, assesses severity, drafts a Slack message, pauses for human approval on critical issues, then posts. Built entirely by talking to Claude. Open source. Deploy on Railway in under 10 minutes. I posted a few weeks ago without a working alpha. This is the actual launch.

Visit productView on Hacker NewsMar 31, 2026
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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, slack, open · Missing: mac, agents, macos
98%98% 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.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, existing · Missing: https docs, excited, just released
52%52% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface, builder · Missing: plus, platform, intuitive
22%22% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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