Tl

Tlume – a CLI tool that converts Tart VM images for Lume

Hacker News

Tlume – a CLI tool that converts Tart VM images for Lume

Shoutout to our amazing contributor @iaktech for building tlume - a CLI tool that converts Tart VM images into the format expected by Lume! tlume will: - Locate your Tart VM in ~/.tart/vms/ - Create a Lume VM in ~/.lume/ - Copy all VM files with optimized buffering - Convert the Tart config to Lume format - Preserve all your VM hardware settings, network config, and display settings This new bridge interface will greatly simplify adoption for those with existing Tart images and help commoditize Apple Virtualization.framework solutions across the ecosystem! Lume repo: https://github.com/trycua/cua/tree/main/libs/lume

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Actual performance

5points
2comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
57%57% 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.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, io · Missing: https docs, excited, just released
49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Strong signals: apple, new · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive
32%32% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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