Ducksboard launched a new API and is giving away free subscriptions

Hacker News

We've just launched our new, three-headed API (part of which is an open WebSocket server) and we'd like to thank this community for the all the help, feedback and inspiration. Ducksboard launched as a Show HN and countless hours that should've been dedicated to developing the product went into browsing the site (until we discovered noprocrast, yay!) For the next 24 hours we're giving away free, full-featured plans to everyone with a HN account more than 10 days old, sign up at https://app.ducksboard.com/signup/hn/ These plans will always be free, but we can't promise we won't try to upsell you along the way, or add juicy new features and put them in paid-only plans :) If you're curious about the API, the docs are at http://dev.ducksboard.com/ and there's a short blog post about it at http://blog.ducksboard.com/2012/04/introducing-the-ducksboard-api/ Thanks, HN!

Visit product View on Hacker NewsApr 11, 2012

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, open · Missing: mac, agents, macos

80%80% 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 · Missing: supports, reddit linkedin, podcasting

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

65%65% 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: way · Missing: mobile apps, ios, personal

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

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

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

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

17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · 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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