Combobulator – a locally run, management web-app for Amazon Redshift

Hacker News

1. I have for some time been working on a browser-based app which is a management console for Amazon Redshift. 2. It is not cloud based - you run it locally, no network access, no superuser, and no privs to read your actual tables; the design is intended to make it viable to use with the most sensitive of data. 3. While the Russo-Ukraine war continues, all income barring business costs goes to the Ukrainian military. The home page for Combobulator is here; https://www.redshiftresearchproject.org/combobulator/index.html The live demonstration system is here; https://34.200.189.75 Combobulator uses HTTPS, but where there is no IP name, a self-signed SSL certificate has to be used; you’ll need to click through the warnings from the browser.

Visit product View on Hacker NewsAug 30, 2023

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

74%74% predicted probability of success on Indie Hackers, 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: io · Missing: https docs, excited, just released

61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

40%40% 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

39%39% 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

18%18% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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