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Gandalf – $1 private Docker registries

Hacker News

Gandalf – $1 private Docker registries

We just released Gandalf.io, a private docker registry-as-a-service. We've kept it really simple and affordable. The first private docker is free and the rest come in plans all priced at $1 / docker. We built Gandalf.io as an internal tool to manage and access our dockers and liked it so much we're releasing it as a service. Gandalf.io is built by a small team of developers for fellow developers. We're eager to do more like managing trusted builds, continuous integration and continuous deployment, as a single pipeline using only dockers on our platform. For now though we think empowering teams to get started with dockers by sharing them easily and using the standard docker cli will do.

Visit productView on Hacker NewsApr 24, 2014
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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock, single, using · Missing: mac, agents, macos
82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: just released, pipe, io · Missing: https docs, excited, exist
77%77% 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 HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
40%40% 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
11%11% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

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