AdminCore – Secure Admin Dashboard Starter Kit (Node.js and React)

Hacker News

Hi HN, I built AdminCore, a secure admin dashboard starter kit for Node.js + React. It includes: - Cookie-based authentication with HttpOnly cookies - Role-based access (admin / user) - Protected routes via middleware - Full CRUD system - Clean SPA admin UI (modals, tabs) I built this after re-implementing the same auth + admin logic on multiple projects. The goal is to save 3–5 days of setup time for devs building SaaS back offices or internal tools. Happy to answer questions or get feedback.

Visit product View on Hacker NewsJan 29, 2026

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1points

Did not reach leaderboard

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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.

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

54%54% 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 · Missing: mac, agents, macos

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

33%33% 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

25%25% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

17%17% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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