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A Reverse Proxy with Pingora

Hacker News

A Reverse Proxy with Pingora

I've been playing with Pingora to create a reverse proxy that connects backend HTTP or HTTPs service to a single HTTPs frontend (similar to what is generally done with Nginx) serving distinct SSL certificates (using SNI and the host header) for each backend service. In this example, if you connect to https://127.0.0.1:4430 : * with an SNI and Host header of somedomain.com, you will be served an SSL certificate to somedomain.com and a proxied connection to http://127.0.0.1:4000 . * with an SNI and Host header of one.one.one.one, you will be served an SSL certificate to one.one.one.one and a proxied connection to https://one.one.one.one . Note: Pingora is a network services crate that Cloudflare recently opensourced, see https://news.ycombinator.com/item?id=39535969 https://news.ycombinator.com/item?id=39551115

Visit productView on Hacker NewsMar 16, 2024
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Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: nginx, 000, io · Missing: https docs, excited, just released
74%74% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
56%56% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
50%50% 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
46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: new, single, using · Missing: mac, agents, macos
34%34% predicted probability of success on Product Hunt, 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
14%14% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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