Knecht, a tool for building software factories for agencies

Hacker News

An agent that only reads and writes code is guessing whether its changes work. To maintain many projects I need one that can boot the app, run migrations, hit the page and read the actual error. So I built Knecht. A Self-hostable tool. You connect your GitHub repos and it starts each project in an isolated Docker sandbox, generated with DDEV. Inside, an agent can do what a developer does locally. Reproduce a bug, run migrations, open the page in the browser etc. Workflows can be started by triggers (Jira tickets, GitHub issues, PRs..) and can run across all projects at once, mixing AI agent steps with deterministic steps, similar to n8n. Knecht is in beta and I am looking for people who maintain many projects. Works best with DDEV projects. https://github.com/knecht-works/knecht-cloud https://knecht.works/updates/beta-tester

Visit product View on Hacker NewsSep 15, 2026

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

87%87% 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.

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

48%48% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

40%40% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

19%19% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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