Claude Intern – turn Jira tasks into working PRs

Hacker News

Built a Claude Intern to help with day-to-day work. Basically, you can point it to one or more Jira tickets(either by task key or JQL), and it will run an implementation feasibility assessment check and post notes whether it needs further clarification or can be actioned. If the ticket can be actioned, it will run Claude Code to try to implement the feature and create a PR. You can review the PR later, if one-shotting succeeded, good - you've completed work in a fraction of time, if not, the attempt may still be valuable as you can take over and finish the PR yourself, while spending less time on it. You need to run it from your project repo folder(all dependencies should be installed, claude.md present in the repo - optional, but helps), so it can run tests, typechecks, etc while working on the task.

Visit product View on Hacker NewsJul 29, 2025

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Actual performance

1points

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: claude, tasks, notes · Missing: mac, agents, macos

95%95% 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

59%59% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

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

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

30%30% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

23%23% 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

21%21% 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

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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