Hacker News

I built pym2 to manage Python services without writing complex systemd units or running a full orchestrator.

It's a small process manager with:

- agent/CLI architecture - crash protection - TOML config - optional TUI and web UI

It’s designed for FastAPI, background workers and small services.

Feedback welcome.

Comments URL: https://news.ycombinator.com/item?id=47247282

Points: 1

# Comments: 0

Article URL: https://www.preascent.com/insights/ai-problem-not-ai-problem

Comments URL: https://news.ycombinator.com/item?id=47247257

Points: 2

# Comments: 1

Excited to share that our startup VITA325 has officially been approved by the Apple App Store. We’re building a smartphone-based gait analysis and digital rehabilitation platform — no wearables required. The app uses built-in motion sensors and AI to generate personalized insights and progress tracking. It’s been a journey from idea → prototype → validation → App Store approval. Would love advice on: • Early traction strategies • HealthTech distribution channels • Scaling in regulated environments

Comments URL: https://news.ycombinator.com/item?id=47247256

Points: 1

# Comments: 0

Article URL: https://www.joanwestenberg.com/agentic-swarms-are-an-org-chart-delusion/

Comments URL: https://news.ycombinator.com/item?id=47247249

Points: 2

# Comments: 0

Article URL: https://mssv.net/2025/03/19/the-collective-ambition-behind-odysseus/

Comments URL: https://news.ycombinator.com/item?id=47247248

Points: 1

# Comments: 0

Article URL: https://www.youtube.com/watch?v=Dcl6O_gRgqo

Comments URL: https://news.ycombinator.com/item?id=47247247

Points: 1

# Comments: 0

Article URL: https://growtika.com/blog/stackoverflow-research

Comments URL: https://news.ycombinator.com/item?id=47246787

Points: 1

# Comments: 0

Article URL: https://www.flockwith.me/

Comments URL: https://news.ycombinator.com/item?id=47246784

Points: 1

# Comments: 0

Article URL: https://www.theregister.com/2026/03/04/new_digital_identity_minister/

Comments URL: https://news.ycombinator.com/item?id=47246783

Points: 1

# Comments: 0

Article URL: https://github.com/deduu/ClawSandbox

Comments URL: https://news.ycombinator.com/item?id=47246778

Points: 1

# Comments: 1

Article URL: https://www.woman-of-letters.com/p/editors-dont-want-male-novelists

Comments URL: https://news.ycombinator.com/item?id=47246772

Points: 1

# Comments: 0

I built this because I had a library of DRM-free audiobooks as loose MP3 files — ripped CDs, Librivox recordings, purchases from DRM-free stores — and no good way to package them on iOS. Every solution either required a Mac, a third-party desktop app, or uploading files to a web service I didn't trust.

M4Bindr does the whole thing on-device. You import your tracks, reorder them, define chapters (manually or auto-generated per file), add cover art, fill in the metadata, and export a single .m4b that Apple Books and BookPlayer treat as a proper audiobook — with chapter navigation, resume position, the works.

It's not trying to handle DRM removal or format conversion beyond MP3/M4A — intentionally narrow scope. The goal was a clean, fast tool that does one thing well for people who already have the files and just want them packaged correctly. Would love feedback, especially from anyone who has edge cases around large files or unusual chapter structures.

Comments URL: https://news.ycombinator.com/item?id=47246757

Points: 1

# Comments: 0

Article URL: https://architectelevator.com/architecture/architect-skills-product/

Comments URL: https://news.ycombinator.com/item?id=47246749

Points: 1

# Comments: 0

Article URL: https://venturebeat.com/technology/did-alibaba-just-kneecap-its-powerful-qwen-ai-team-key-figures-depart-in

Comments URL: https://news.ycombinator.com/item?id=47246746

Points: 2

# Comments: 0

Hey HN, I've been building Revet, a code review CLI that takes a different approach than the current wave of "send diff to LLM" tools. The core idea: parse your codebase into an AST-based dependency graph first (Tree-sitter, 11 languages), run deterministic checks against that graph, and only use LLM reasoning when explicitly asked — and even then, the LLM receives structured graph context, not your raw source code. What it catches that linters don't:

Cross-file breaking changes: you change a return type, revet tells you every caller that will break across the codebase ML pipeline issues: training/serving skew, data leakage, non-reproducible splits Security with context: not just pattern-matching SQL injection, but taint analysis tracing user input through the graph to dangerous sinks Plus: React hooks violations, async anti-patterns, dependency hygiene, error handling

What makes it different from CodeRabbit/Copilot Review/etc:

Deterministic first: 80% of checks need no LLM — they're fast, free, reproducible Offline-first: all deterministic checks work without network Your code stays local: LLM layer receives structured findings, not source Incremental: per-file graph cache, sub-second subsequent runs CI-native: SARIF, GitHub annotations, inline PR comments

Stack: Rust (tree-sitter + petgraph), single binary, no runtime dependencies. Install: cargo install revet revet review GitHub: https://github.com/umitkavala/revet Docs: https://umitkavala.github.io/revet Site: https://revet.dev Built solo over the past few months. Would love feedback, especially from anyone working with large polyglot codebases or ML pipelines.

Comments URL: https://news.ycombinator.com/item?id=47246743

Points: 1

# Comments: 0

Article URL: https://github.com/techromp/agent-file-intelligence

Comments URL: https://news.ycombinator.com/item?id=47246741

Points: 1

# Comments: 0

Hi HN,

I’m the founder of d8a.tech. After working in web/app analytics for 15+ years, I got frustrated with the limitations of the standard Google Analytics (GA4) BigQuery export—specifically the 24–48 hour latency and the nested schemas that make simple queries difficult.

We built d8a.tech to be a transport layer. It intercepts GA4 events and streams them directly to your own warehouse. You can self-host it.

Key technical points: - It has native drivers for BigQuery and ClickHouse for direct ingestion. - Data arrives in flat, query-ready tables. - There is no 48-hour export lag; data is available for querying (or LLM ingestion) immediately/on session end. - All enrichment happens on your infrastructure. Data never hits Google’s servers, which removes sub-processing risks for GDPR/HIPAA compliance. - It works in parallel with your existing GA4 setup. You point your current gtag or GTM container to the d8a endpoint with no frontend code changes. - It can also stream files to S3, GCS, or MinIO as a storage layer/backup.

The project is open source: https://github.com/d8a-tech/d8a

I’d love to get your feedback on the schema design and the implementation. I'll be around to answer any technical questions.

Comments URL: https://news.ycombinator.com/item?id=47246737

Points: 1

# Comments: 0

Article URL: https://www.literally.dev/resources/how-open-source-companies-actually-make-money

Comments URL: https://news.ycombinator.com/item?id=47246730

Points: 1

# Comments: 0

Hi HN,

Deciding on a new look (hair, beard, or glasses) is usually a gamble. We built a suite of computer vision tools under Looksmaxxing AI (Face IQ) to help visualize these changes before committing to them.

We’re using 100+ facial landmark points to ensure generative outputs respect the user's underlying bone structure.

The tools:

AI Hairstyle Changer: https://looksmaxxingai.app/tools/ai-hairstyle-changer

AI Beard Generator: https://looksmaxxingai.app/tools/ai-beard-generator

Virtual Glasses Try-On: https://looksmaxxingai.app/tools/virtual-glasses-try-on

Privacy: We do not store photos or use them for model training. All images are purged immediately after the analysis/inference is complete.

I’d love to hear your feedback on the generative realism and how well the 3D alignment handles different head tilts.

Comments URL: https://news.ycombinator.com/item?id=47246722

Points: 1

# Comments: 0

Article URL: https://psylo.app/tools/exif-viewer/

Comments URL: https://news.ycombinator.com/item?id=47246718

Points: 1

# Comments: 0