bugstack

TrustMRR

bugstack is an AI agent that monitors production code and fixes code level errors and exceptions as they occur. bugstack gathers context, stack trace, writes a minimal fix, runs your CI/CD pipeline an

bugstack is an AI agent that monitors production code and fixes code level errors and exceptions as they occur. bugstack gathers context, stack trace, writes a minimal fix, runs your CI/CD pipeline and generates a PR or if confidence gates pass and the user chooses, auto merges to production. The bugstack repair pipeline operates in under 2 minutes from the moment an error occurs to the time it is repaired, even when you are asleep.

Visit product View on TrustMRRDec 21, 2025Artificial Intelligence Software B2B

Actual performance

1customers

$29MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating5

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agent, user, context · Missing: mac, agents, macos

91%91% 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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, pipe, io · Missing: https docs, excited, just released

47%47% 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

39%39% 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

24%24% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

20%20% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

13%13% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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