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ActionsPanel – Manually Trigger Your GitHub Actions

Hacker News

ActionsPanel – Manually Trigger Your GitHub Actions

Hi all! I wanted to share a small project that I've been working on with a buddy. https://www.actionspanel.app/ One of the problems that currently exists with GitHub Actions is the fact that there is no way to easily trigger your Actions unless you cause some kind of GitHub event. This could be pushing a new commit, or creating an issue on a repository. But if you just want to run an arbitrary action, there's not currently a good way to do that. This is a well known feature request: https://github.community/t5/GitHub-Actions/GitHub-Actions-Ma... GitHub somewhat recently added an API for `repository_dispatch` which is an available trigger for a GitHub Action. There are many blog posts that explain how you can create a Personal Access Token to send your own `repository_dispatch` via some curl command or postman request. For example: https://goobar.io/2019/12/07/manually-trigger-a-github-actio... ActionsPanel uses this same API but does so with a GitHub App token so that you don't need to worry about managing your own PAT. This also makes it much easier to trigger your actions across teams with multiple people. Then you don't need to share the PAT with each other or each create your own PATs. You configure your buttons with a declarative yaml file that you leave in the repo, and ActionsPanel will read that file and dynamically create your UI for you to trigger your actions. We'd love to get your feedback on this project. It's very simple still but solves the core problem of triggering your actions. If you do have feedback or any questions, feel free to post in this thread, or email us directly at support (at) actionspanel (dot) app Looking forward to your feedback!

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, email, plain · Missing: mac, agents, macos
90%90% 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
74%74% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal, way · Missing: mobile apps, ios, entrepreneurs
38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, io · Missing: https docs, excited, just released
35%35% 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 · Missing: plus, platform, intuitive
30%30% 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.

Incorrect prediction on native model

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