Feed aggregator

Article URL: https://readhacker.news/

Comments URL: https://news.ycombinator.com/item?id=47213045

Points: 1

# Comments: 0

Article URL: https://www.animeaistudio.com/anime-ai-agent

Comments URL: https://news.ycombinator.com/item?id=47213040

Points: 1

# Comments: 2

Article URL: https://www.wsj.com/lifestyle/careers/crossing-guard-mail-club-14-000-a-month-42afb85d

Comments URL: https://news.ycombinator.com/item?id=47213037

Points: 1

# Comments: 1

Article URL: https://www.youtube.com/watch?v=eKxNGFjyRv0

Comments URL: https://news.ycombinator.com/item?id=47212826

Points: 1

# Comments: 0

I spent years building projects and posting content online like I was writing clean code for a repo. Every social media post, every website launch, every little tweak felt “perfect,” and yet most of it got zero traction. TikToks, Reels, YouTube Shorts, even side project pages — they would quietly die while random things with less polish blew up.

It finally clicked: it’s not just content or code quality. It’s distribution. Social media algorithms and website traffic work like dependency graphs. If your post or project doesn’t get early engagement, it never surfaces. No traffic, no feedback, no analytics, no way to debug what actually works. You’re left guessing why something fails while others seem to succeed effortlessly.

UseViralize.com is like a growth debugger for creators and devs. It helps you get early momentum, build social proof, and see actionable analytics fast, so your posts, projects, or websites don’t just sit in a dead feed or an empty server. Whether you’re launching a side project, an open-source repo, or building a brand, visibility is the key dependency most people overlook.

There’s a 3-day free trial, and you can cancel anytime. I built this because I was tired of putting work online that no one ever saw. If social media or website growth feels like hitting “merge” on a PR that never gets reviewed, this is meant to help.

Comments URL: https://news.ycombinator.com/item?id=47212822

Points: 1

# Comments: 1

Article URL: https://blog.lukesalamone.com/posts/winning-faster-than-stockfish/

Comments URL: https://news.ycombinator.com/item?id=47212819

Points: 1

# Comments: 0

Article URL: https://github.com/homan9/personal-token/blob/main/whitepaper.md

Comments URL: https://news.ycombinator.com/item?id=47212800

Points: 1

# Comments: 0

Article URL: https://ravivyas.com/2026/03/01/dev-tools-and-moats

Comments URL: https://news.ycombinator.com/item?id=47212794

Points: 2

# Comments: 1

Article URL: https://oralbiolife.com/

Comments URL: https://news.ycombinator.com/item?id=47212793

Points: 1

# Comments: 1

Article URL: https://github.com/jasonjmcghee/orcv

Comments URL: https://news.ycombinator.com/item?id=47212775

Points: 1

# Comments: 1

I wanted to see if AI (mostly ChatGPT Pro and Gemini Pro 3.1) could figure out how to compress executable binaries better than existing generic tools without me actually knowing much about compression engineering or ELF internals.

The result is an experiment called fesh. It works strictly as a deterministic pre-processor pipeline wrapping LZMA (xz). The AI kept identifying "structural entropy boundaries" and instructed me to extract near-branches, normalize jump tables, rewrite .eh_frame DWARF pointers to absolute image bases, delta-encode ELF .rela structs with ZigZag mappings, and force column transpositions before compressing them in separated LZMA channels.

Surprisingly, it actually works. The CI strictly verifies that compression is perfectly reversible (bit-for-bit identity match) across 103 Alpine Linux x86_64 packages. According to the benchmarks, it consistently produces smaller payloads than xz -9e --x86 (XZ BCJ), ZSTD, and Brotli across the board—averaging around 6% smaller than maximum XZ BCJ limits.

I honestly have no idea how much of this is genuinely novel versus standard practices in extreme binary packing (like Crinkler/UPX).

Repo: https://github.com/mohsen1/fesh

Does this architecture have any actual merits for standard distribution formats, or is this just overfitting the LZMA dictionary to Alpine's compiler outputs? I'd love to hear from people who actually understand compression math.

Comments URL: https://news.ycombinator.com/item?id=47212772

Points: 3

# Comments: 1

Article URL: https://idiallo.com/blog/large-language-models-make-us-feel-smarter

Comments URL: https://news.ycombinator.com/item?id=47212771

Points: 1

# Comments: 0

Article URL: https://www.medscape.com/viewarticle/how-nanotech-made-old-leukemia-drug-22-000x-stronger-2026a1000675

Comments URL: https://news.ycombinator.com/item?id=47212742

Points: 1

# Comments: 1

Article URL: https://github.com/dentm42/aver

Comments URL: https://news.ycombinator.com/item?id=47212741

Points: 1

# Comments: 1

Article URL: https://clawdcursor.com/

Comments URL: https://news.ycombinator.com/item?id=47212721

Points: 1

# Comments: 0

Article URL: https://causalityineconomics.com/fomc_archive

Comments URL: https://news.ycombinator.com/item?id=47212719

Points: 1

# Comments: 0

Article URL: https://tostracker.app/analysis/governing-law

Comments URL: https://news.ycombinator.com/item?id=47212713

Points: 1

# Comments: 0

Article URL: https://github.com/Cole-Cant-Code/CIP-Customer-Intelligence-Protocol

Comments URL: https://news.ycombinator.com/item?id=47212711

Points: 1

# Comments: 1

Hey HN,

I've been building YourFinanceWORKS, a comprehensive open-source financial management platform that combines enterprise-grade features with AI-powered automation. Think of it as a self-hosted alternative to QuickBooks/Xero with advanced capabilities.

## What makes this interesting for HN:

*Technical Architecture:* - Multi-tenant design with database-per-tenant isolation - FastAPI + PostgreSQL + Redis + Kafka stack - AI-powered OCR using vision models (95%+ accuracy) - Event-driven architecture with background processing - Plugin system for extensibility - Docker deployment with production-ready configuration

*AI Integration:* - Receipt/invoice OCR with structured data extraction - Natural language queries ("Show me overdue invoices") - Fraud detection and anomaly analysis - Risk scoring for financial documents - Configurable prompt management with versioning

*Key Features:* - Professional invoicing with AI templates - Automated bank reconciliation - Multi-level approval workflows - Real-time financial dashboards - Advanced audit trails and compliance - Investment portfolio tracking plugins

*Open Source Innovation:* - Dual-licensing model (AGPL for core, Commercial for enterprise) - Transparent AI prompt engineering - Community plugin ecosystem - Comprehensive documentation (100+ pages)

## Why I built this:

After paying thousands for financial software that didn't meet our needs, I wanted to create something that: - Respects user privacy (self-hosted) - Provides enterprise features without enterprise pricing - Leverages modern AI for actual automation (not just buzzwords) - Has a transparent, extensible architecture

## Quick start: ```bash git clone https://github.com/snowsky/yourfinanceworks.git cd yourfinanceworks docker-compose up --build -d ```

## Interesting technical challenges solved: - Secure multi-tenancy at database level - High-accuracy financial document OCR - Real-time financial dashboards with WebSocket updates - Configurable approval workflows with AI validation - Cross-tenant analytics while maintaining isolation

The project is production-ready with comprehensive documentation, automated tests, and deployment guides.

*GitHub:* https://github.com/snowsky/yourfinanceworks

Would love feedback from the HN community on the architecture, AI implementation, or any aspect of the system. What features would make this compelling for your use case?

Comments URL: https://news.ycombinator.com/item?id=47212707

Points: 1

# Comments: 0

Hey HN,

I built Leyoda — founders create an interactive startup card and share it as a single link. Investors get everything at a glance: metrics, stage, team, fundraising status. Tap to flip for pitch deck, video, and socials.

Every card has real analytics — views, shares, card flips, top referrers (we detect WhatsApp, LinkedIn, Telegram, in-app browsers), geographic breakdown via GeoIP, and device stats. We also track which AI systems are crawling your card (70+ bots identified, from ChatGPT to Gemini to Perplexity).

The idea: replace the "check out my deck" cold email with one link that tells you who viewed it and where they came from.

Free during alpha. Would love feedback — is this the kind of link you'd actually send to an investor?

Comments URL: https://news.ycombinator.com/item?id=47212693

Points: 1

# Comments: 1