Satounki – Self-hosted temporary elevated access management service

Hacker News

I was reading through the comments on this HN post last night[1] which inspired me to share this project here today. I've been working on Satounki since I got laid off last month. It's the culmination of a lot of experience building similar ad-hoc internal tooling at various places throughout my professional career. Satounki already includes: * AWS support * GCP support * Cloudflare support * Auto-generated Terraform providers from the Rust API * Auto-generated Typescript client wrapper from the Rust API * Slack bot for request notifications, approvals and rejections * CLI for requests, approvals and rejections * Dashboard for exploring policies, requests and stats The scope of this project is pretty big and I'm looking for contributors; if you know Rust, Go, Typescript, Nix, or even have an interest in them, take a look and see if this is something that you might like to work on! [1]: https://news.ycombinator.com/item?id=38511280

Visit product View on Hacker NewsDec 4, 2023

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

78%78% 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: ide, io · Missing: https docs, excited, just released

66%66% 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 HuntOn track for Day 1 leaderboard · Strong signals: slack, new · Missing: mac, agents, macos

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

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

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

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

28%28% 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

14%14% 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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