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PNGR Stack – Postgres/Nginx/Golang/React in Docker-compose, hot-reload

Hacker News

PNGR Stack – Postgres/Nginx/Golang/React in Docker-compose, hot-reload

I originally shared this here [a couple of years ago]( https://news.ycombinator.com/item?id=21612106 ) - since then I've upstreamed a bunch of improvements that I've made to various forks I have running in the wild. It's substantially different from the version I originally shared, at this point. Some highlights for dev ergonomics: - Unejected create-react-app w/ typescript for the front-end - Themeable semantic-ui component library tied into the hot-reload loop - json-web-token based user sessions, including middleware with token refresh - sql bindings via sqlc (autogenerates db mocks, too, all hot-reload) - server-side rendering with a sidecar container (prerender) - stubbed out backend "worker" container for async tasks - pre-baked database migration pattern This has been a really productive (and performant!) starter project for me - hopefully it's useful to others.

Visit productView on Hacker NewsFeb 23, 2023
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Hacker NewsStrong engagement from HN community · Strong signals: nginx, ide, io · Missing: https docs, excited, just released
75%75% 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: user, dock, new · Missing: mac, agents, macos
71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Strong signals: including · Missing: supports, reddit linkedin, podcasting
49%49% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
37%37% 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
18%18% 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
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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