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An open-source API Gateway for front end applications

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An open-source API Gateway for front end applications

Hello Everyone, I'd like to share a project I've been working on: an open-source API gateway that simplifies the integration of frontend applications with third-party APIs, particularly for those APIs that require confidential handling of API keys, without the need of developing your own backend. This gateway utilizes an Express server, which can be configured through a YAML file. It allows you to establish proxy endpoints that manage requests to external APIs, incorporates secret keys into these requests to safeguard them from exposure on the frontend, and supports various policies including CORS, JWT authentication, API authentication, and rate limiting. I'm eager to receive feedback and perspectives from the community regarding this project, thanks!

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Product HuntOn track for Day 1 leaderboard · Strong signals: apis, open · Missing: mac, agents, macos
89%89% 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, including · Missing: reddit linkedin, podcasting, created
76%76% 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, io, including · Missing: https docs, excited, just released
57%57% 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 · Strong signals: way · Missing: mobile apps, ios, personal
35%35% 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
16%16% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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