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Jira to Gitlab Issue Migration Tool

Hacker News

Jira to Gitlab Issue Migration Tool

$DAYJOB needed to migrate from JIRA to Gitlab due to business reasons (not related to the recent outage), so I wrote this issue migration tool [1] to help us preserve our historical data. This tool will copy issues from various JIRA projects to mirrored Gitlab projects (e.g. A jira project named JIRA-PROJECT1 will have its issues migrated to a gitlab project GL-PROJECT1). The tool also migrates issue comments to Gitlab notes and will recreate the existing issue links. YMMV, but this is working well for us. Comments welcomed. 1: https://gitlab.com/jeremygonyea/jira-to-gitlab-miigration-tool

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AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: notes · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released
39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
21%21% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
11%11% 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
1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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