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SandCrab – An AWS S3 GUI for macOS

Hacker News

SandCrab – An AWS S3 GUI for macOS

Hello HN. SandCrab is an app I originally had the idea for and hacked together over a couple of weekends last October. More recently, I’ve been working on adding new features to it as I use it more as my daily tool to interact with my s3 buckets. A few recent features I am excited about include the ability to search across all of your buckets using wildcards and regular expressions as well as searching and filtering by metadata (e.g. content type, file size, date created, etc). I’ve also added support for configuring and generating presigned urls directly in the app which is nice. The app can also copy, move and "rename" (which performs a copy-and-delete under the hood) objects within or across buckets. I’ve also recently added more flexible auth options, so that in addition to providing the app with security credentials stored in your keychain, the app can also support role assumption as well as simply using your local .aws profiles without the need to actually give the app credentials directly.

Visit product View on Hacker NewsJul 22, 2025

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

79%79% 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

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

51%51% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

33%33% 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

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.

Incorrect prediction on native model

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