Squidly: Simplify Your GitHub Workflow Management

Hacker News

Hello, HN community! I'm excited to introduce you to Squidly (beta), a SaaS platform designed to streamline your GitHub workflow management. Whether you're a solo developer or part of a larger team, Squidly offers a comprehensive suite of features to help you manage, monitor, and gain insights into your GitHub workflows—all in one place. Note: the platform is in Beta stage, server can make from 30 seconds to 1 minute to be up and ready. Why Squidly? Managing multiple GitHub workflows can be challenging, especially when you're juggling various projects. Squidly aims to simplify this process by providing a centralized dashboard where you can visualize and control your workflows efficiently. Key Features Dashboard Overview: Get a quick overview of all your GitHub workflows. Monitor their status, view statistics, and manage them with ease. Dashboard preview Repository Management: Add or remove repositories directly from Squidly. Gain insights into your workflows and manage them without leaving the platform. Repositories preview Workflow Control: View all your workflows and their statuses. Re-run or cancel workflows directly from the list. Workflows preview Billing Usage Recap: For premium users, Squidly provides a detailed billing usage recap, helping you keep track of your workflow usage. More details is on the pricing section: Squidly Pricing Plans Squidly is currently in beta and free to use. We offer a Free Plan for small projects and a Premium Plan for developers who need more advanced features. A Teams Plan is also in the works for enterprise users. How to Test To test Squidly, navigate to the relevant sections of the app and explore the features. Our intuitive interface makes it easy to get up and running quickly. Join Our Community We'd love for you to join our growing community of developers. Follow us on Twitter for updates, or reach out through our contact form if you have any questions. Thank you for taking the time to learn about Squidly. We hope it becomes an invaluable tool in your development workflow. You can try the tool directly in Beta environment (All data will be deleted at the end of Beta testing). Happy coding!

Visit product View on Hacker NewsJan 24, 2025

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86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

83%83% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: visualize, users · Missing: mobile apps, ios, personal

37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% 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: platform, intuitive, interface · Missing: plus, reviews, host

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: saas · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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