Ag

Agbridge – Secure Local Access to Private AWS API Gateways

Hacker News

Agbridge – Secure Local Access to Private AWS API Gateways

Hey HN, I built agbridge, a lightweight CLI tool that acts as a local proxy to private AWS API Gateways. If you’ve ever tried to test or integrate with internal microservices behind a private API Gateway, you know how painful it can be—VPNs, VPC endpoints, or hosting runners inside the VPC. agbridge lets you skip all that. Key Features: - Securely forward HTTP requests to private API Gateway endpoints - Works from local environments or CI/CD pipelines (e.g., GitHub Actions) - Supports multiple gateways and dynamic route patterns (/foo/{id}/bar) - Fully Docker-ready - Configurable via flags or YAML - Optional support for selecting custom stages It’s designed for internal service development, debugging, and integration—especially useful in isolated AWS environments. I’d love to hear what you think, and if your team uses private API Gateways, maybe give it a try and let me know what breaks :) GitHub: https://github.com/oscarbc96/agbridge

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Product HuntOn track for Day 1 leaderboard · Strong signals: dock · Missing: mac, agents, macos
76%76% 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, vpn · Missing: reddit linkedin, podcasting, created
64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, pipe, io · Missing: https docs, excited, just released
55%55% 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 · Strong signals: host · Missing: plus, platform, intuitive
37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
28%28% predicted probability of success on TrustMRR, 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.

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