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hnrss.org · 2026-04-18 23:10:57+08:00 · tech

Do you work with Gradle and need to generate Java POJO classes from Avro schemas? I’m excited to share my first open-source project: https://github.com/flumennigrum/gradle-avro-plugin . It’s now live on the Gradle Plugins Portal, so you can easily add it to your projects. Why a new plugin? For years, I’ve relied on davidmc24/gradle-avro-plugin, probably the most widely used community Avro plugin in the Gradle ecosystem. Unfortunately, it was archived in 2023, raising maintenance concerns for modern JVM projects. My solution: a new plugin compatible with Gradle 7.3+ and Java 11+ (tested with 11, 17, 20, and 25). The goal is to keep it alive and working with newer releases of gradle, java and avro. Check it out, issues and contributions are welcome! Comments URL: https://news.ycombinator.com/item?id=47816519 Points: 2 # Comments: 0

hnrss.org · 2026-04-18 22:48:39+08:00 · tech

Hi HN, I built PushToPost ( https://pushtopost.com ) to automate the tedious parts of shipping. It analyzes GitHub diffs via webhooks to generate platform-native social posts and SEO-friendly changelogs. One of the main goals is using JSON-LD schema so the changelogs get indexed and cited properly by AI search engines like Perplexity or ChatGPT. I'd love to hear your feedback on the workflow and the technical implementation! Comments URL: https://news.ycombinator.com/item?id=47816357 Points: 1 # Comments: 0

hnrss.org · 2026-04-18 21:10:24+08:00 · tech

Readox is a Chrome extension that reads web pages, PDFs, selections, text files (ie markdown), and text input notes aloud with TTS. You can just play the current page, or save things to a library and queue them up. It highlights as it reads, keeps your place across items, and can OCR scanned PDFs. TTS (for text and PDF) and OCR run on-device, and it works offline after setup. I’m interested on feedback on the library collections as a "playlist-like" functionality, or if most people just want a play button for the current page. Also interested in anything that feels missing or awkward. Thanks! Comments URL: https://news.ycombinator.com/item?id=47815638 Points: 2 # Comments: 0

hnrss.org · 2026-04-18 20:30:16+08:00 · tech

I built LogsGo as a learning project to explore log ingestion, querying, and storage tradeoffs. It’s a small Go-based system where logs come in over gRPC, land in memory first, then flush into local storage and optionally S3-compatible object storage. I also added a simple query language plus a small UI to inspect log occurrences over time. This wasn’t built because I think the world needed “another logging system” or because I’m an expert here. I mostly wanted to learn by building something end to end: ingestion paths, storage layering, querying, retention, auth/TLS, and some UI work. Repo: https://github.com/Saumya40-codes/LogsGO I’d genuinely appreciate feedback, including “this design is wrong for X reason” type feedback. If parts of it feel overengineered / naive / badly thought through, that’s useful for me too. Comments URL: https://news.ycombinator.com/item?id=47815402 Points: 1 # Comments: 0

hnrss.org · 2026-04-18 20:17:13+08:00 · tech

150 applications. One offer. Each application took 5+ manual steps. Separate tools, separate tabs, separate sites — none of them talking to each other. Generic output. Over an hour per application. Paste a job description — or pull it from any job site with the Chrome extension — and five AI agents run an orchestrated pipeline in under 30 seconds: analyzing the role, scoring your fit, researching the company, writing a targeted cover letter, and tailoring your resume to the role. Sequential where it needs to be, parallel where it can be, each agent's output feeding the next. Also includes a dashboard to track every application. And tools for everything around it: interview prep with mock sessions, salary negotiation, job comparison, follow-ups, thank you notes, and references. Runs on your machine. No subscriptions, no data stored on our servers — just your own Gemini API key connecting directly to Google. Comments URL: https://news.ycombinator.com/item?id=47815326 Points: 1 # Comments: 0