SpaceFree

SpaceFree

TrustMRR

SpaceFree is the storage debugger for developers. Find gigabytes trapped by WSL2/Docker virtual disks that grow but never shrink, plus npm, pip, conda, nuget, cargo, and IDE caches. One-click VHDX com

SpaceFree is the storage debugger for developers. Find gigabytes trapped by WSL2/Docker virtual disks that grow but never shrink, plus npm, pip, conda, nuget, cargo, and IDE caches. One-click VHDX compaction reclaims real disk space safely. Every scan result shows a plain-language explanation, safety tier, and rebuild steps before you delete anything - nothing is removed automatically. Deletions go to the Recycle Bin by default, with a full audit log of every action.

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: dock, plain · Missing: mac, agents, macos
50%50% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
46%46% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: plus · Missing: platform, intuitive, reviews
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
25%25% 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
21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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