Sarab – Expose localhost to the internet using Cloudflare Tunnels

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I built Sarab to make exposing local ports easier without needing paid services or complex config. It’s a single-binary CLI that automates Cloudflare Tunnels. Key features: - No Account Needed: Uses TryCloudflare to generate random public URLs instantly without login. - Zero Config: Automates the cloudflared binary management, DNS records, and ingress rules. - Auto-Cleanup: Automatically tears down tunnels and cleans up DNS records upon exit to prevent stale entries. - Custom Domains: Supports authenticated mode using Cloudflare tokens if you need persistent URLs on your own domain. It’s open source and written in .NET 10. Feedback welcome! [ https://github.com/meedoomostafa/sarab ]

Visit product View on Hacker NewsJan 30, 2026

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

75%75% 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: supports · Missing: reddit linkedin, podcasting, created

70%70% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source · Missing: https docs, excited, just released

53%53% 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

44%44% 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

40%40% 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 · Strong signals: paid · 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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