Cu
Cursor-history CLI for browse/backup Cursor chat history
Hacker NewsCursor-history CLI for browse/backup Cursor chat history
Hi HN — I built cursor-history, a POSIX-style CLI (and library) for accessing Cursor AI chat history. It focuses on being composable and scriptable: list sessions, search keywords, export to Markdown/JSON, migrate sessions between workspaces, and create/restore full backups. It also shows rich session details like file edit diffs, tool calls/parameters, timestamps, and (optionally) thinking blocks. Node 20+, works on macOS/Windows/Linux. Feedback welcome!
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Product HuntOn track for Day 1 leaderboard · Strong signals: mac, macos, cursor · Missing: agents, agent, claude87%87% 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 · Strong signals: para · Missing: supports, reddit linkedin, podcasting58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: calls · Missing: plus, platform, intuitive47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: para · Missing: mobile apps, ios, personal47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released23%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.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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