FileRise – Elevate Your File Management

Hacker News

I built FileRise — a self-hosted file manager with an Apache/PHP backend and modern ES6 modules on the front end. It supports: •Multi-file/folder uploads with drag & drop and resumable, chunked uploads •In-browser file editing with CodeMirror-powered syntax highlighting •Intuitive drag & drop for moving files with dedicated sidebar and top drop zones •Robust folder management with an interactive tree and breadcrumb navigation •A responsive, dynamic interface optimized for both desktop and mobile Check it out on GitHub: https://github.com/error311/FileRise I’d love to get your feedback or suggestions for improvements!

Visit product View on Hacker NewsMar 27, 2025

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Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos

63%63% 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 · Missing: reddit linkedin, podcasting, created

62%62% 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 · 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.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, host, interface · Missing: plus, platform, reviews

43%43% 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

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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

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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