Launch Intel
Al

Allowing threads on GitHub PR Issue comments

Hacker News

Allowing threads on GitHub PR Issue comments

A GitHub Action + GitHub App that transforms PR issue comments into file comments, allowing threads and the resolve conversation button. Also adding the option of creating PR Slack channels fully synced with PRs. -> Feel free to try it out on this demo PR: https://github.com/pullpo-io/cli/pull/7

Visit productView on Hacker NewsMar 20, 2024
Share card

Actual performance

27points
1comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: slack · Missing: mac, agents, macos
67%67% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
50%50% 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 · 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 · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
18%18% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Au
Automate Issue and PR Linking in GitHub47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Automate Issue and PR Linking in GitHub

Hacker News1
Se
Sensus – Constructive PR Comments28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sensus – Constructive PR Comments

Hacker News7
Gi
GitEnforcer – GitHub PR and Issue Quality Assurance Bot48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitEnforcer – GitHub PR and Issue Quality Assurance Bot

Hacker News1
So
Sort GitHub issue's comments by upvotes39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Sort GitHub issue's comments by upvotes

Hacker News1
Di
Distributed LLM tracing and GH PR/issue linking [Apache 2.0]38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Distributed LLM tracing and GH PR/issue linking [Apache 2.0]

Hacker News3
Gi
GitHub – Specify that a PR must be merged after another PR62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub – Specify that a PR must be merged after another PR

Hacker News1
Co
Conventional Comments in GitHub61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Conventional Comments in GitHub

Hacker News2
Ge
Get co-author info quickly from GitHub usernames and issue/PR URLs36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Get co-author info quickly from GitHub usernames and issue/PR URLs

Hacker News2
Re
Reddit Comments / Threads Dataset65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Reddit Comments / Threads Dataset

Hacker News3
Gi
GitHub App that deletes +1 comments60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GitHub App that deletes +1 comments

Hacker News4
Browse all productsAnalyze your launch