Dashboarrrd – Build Your Perfect Workspace

Hacker News

Hey HN, I’m excited to show you Dashboarrrd, a new productivity tool that lets you build a fully customizable workspace to fit your unique workflow. Think of it as a blank canvas where you can add widgets like Kanban boards, to-do lists, notes, and even embed custom code or external apps. Whether you’re a freelancer managing client projects, a developer tracking sprints, or a team trying to streamline workflows, Dashboarrrd gives you the flexibility to create a space that works for you. Here’s what makes Dashboarrrd different: * Customizable workspaces: Create and organize your workflow with drag-and-drop widgets. * Third-party integrations: Seamlessly connect to external tools like Google Drive, Analytics, Amplitude, and more. * Built for teams and individuals: Whether you’re solo or part of a team, Dashboarrrd adapts to your needs. We launched a month ago and already have over 250 users providing feedback, helping us shape and improve the product. We’d love for you to check it out, give us your thoughts, and see how it fits into your productivity stack. You can try it here: https://www.dashboarrrd.com Looking forward to your feedback and any ideas for improvement! Cheers, Uzair

Visit product View on Hacker NewsOct 15, 2024

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

93%93% 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

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

63%63% 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: apps, month, google · Missing: mobile apps, ios, personal

41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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.

Incorrect prediction on native model

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