PANDANPC INC

TrustMRR

PandaNpc is a remote-control app for coding agents. Run Claude Code, Codex CLI, the DeepSeek harness or Pi on your own machine, then drive the live session from your phone, any browser, or the Windows/macOS/Linux desktop app. It keeps working where Anthropic's official Remote Control is switched off — API-key auth, Bedrock, Vertex, Foundry or a custom base-URL gateway — because it talks to the CLI on your machine, not to a model provider. Your code never leaves your machine.

Visit product View on TrustMRRApr 28, 2025Artificial Intelligence Software stripe

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating18

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, macos · Missing: cursor, apple, agentic

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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

37%37% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

34%34% predicted probability of success on TrustMRR, 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

25%25% 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

23%23% 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

21%21% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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