Narratrail – AWS CloudTrail to Slack Bot. Seeking Feedback

Hacker News

At my work, we rely heavily on AWS. To keep our small team informed about account activities, I developed a bot that sends CloudTrail events directly to our Slack channel. It’s been incredibly useful, primarily for quickly searching historical events—like pinpointing who created a specific EC2 instance so we know who to ask about it. We’ve also found it invaluable for catching error messages that the AWS API sometimes hides. I decided to try productizing this bot, which brings me here. If you’d like to try it out, I’d be happy to offer it to you for free—just DM me. But more importantly, I’m seeking your feedback on the idea and my landing page. So far, I haven’t had any customers and very few visitors to the page. Any tips on how to market this tool would be greatly appreciated. Landing page: https://www.narratrail.com/ AWS Marketplace listing: https://aws.amazon.com/marketplace/pp/prodview-ogc45lxjge3nk Thank you, Rikard

Visit product View on Hacker NewsMay 29, 2025

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2points

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

58%58% 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: created · Missing: supports, reddit linkedin, podcasting

54%54% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% predicted probability of success on Hacker News, 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

27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

12%12% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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