DevPod – Codespaces but Open Source, Client-Only, and Unopinionated

Hacker News

Hi everyone - Looking for feedback for this new open source project we launched. It's called DevPod and it's built on the devcontainer.json standard to create reproducible dev environments. It lets you spin up dev environments in any infra, kind of like a Terraform but for dev environments. Compared to hosted services such as Github Codespaces, JetBrains Spaces, or Google Cloud Workstations, DevPod has the following advantages: - Open Source: DevPod is 100% open-source and extensible. A provider doesn’t exist? Just create your own. - Client-only: No need to install a server backend. DevPod runs solely on your computer. - Cross IDE support: VS Code and the full JetBrains suite is supported. Other IDEs can be connected through ssh. - Rich feature set: DevPod already supports prebuilds, auto inactivity shutdown, git & docker credentials sync, with many more features to come. I've gotten tons of good feedback from folks here in the past for other OSS projects, so I'm hoping to get some thoughts on this new project today. What do you think? Open for any feedback - even if you think DevPod sucks, let me know.

Visit product View on Hacker NewsMay 16, 2023

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

95%95% 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 HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: exist, open source, ide · Missing: https docs, excited, just released

73%73% 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: google · Missing: mobile apps, ios, personal

36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

26%26% 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

16%16% 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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