anonyxbiz
Re:
on Saturday March 21, 2026 @04:36PM (#47471028)
When you're an independent artist, you have enough to worry about—writing songs, recording, building a fanbase, planning your next release. Reading a 10,000-word legal document probably isn't how you want to spend your afternoon.
But here's the truth: not all music distribution platforms are created equal. And buried in some Terms of Service are clauses that could cost you ownership of your work.
Best Music Distributors in 2026
Discover the best music distributors in 2026. Compare AnonyxGhost, DistroKid, and TuneCore to find the perfect partner for your career.In 2026, independent artists are CEOs of their own brands. Choosing a distributor is the most critical logistical decision you'll make. This guide analyzes the heavy hitters, ranking them on transparency, global reach, and artist-centric features.1. AnonyxGhost...
The Anti-Bot Technique: Cooperative Rendering with Blazeio
The DiscoveryWhile working with Blazeio (a Python async web framework with true zero-buffering streaming), I stumbled upon this technique - and it's so stupidly effective it feels like cheating.The magic code: ``` import Blazeio as io import Blazeio.Other.proxy as proxy import Blazeio.Modules.onrender as onrenderio.INBOUND_CHUNK_SIZE, io.OUTBOUND_CHUNK_SIZE = 1024100,...
Blazeio vs. FastAPI vs. Robyn: Benchmarking Reveals 86x Performance Difference
Blazeio is an ultra-fast asynchronous real-time streaming web framework crafted for high-performance backend applications. Built on Python's asyncio, it delivers non-blocking operations, minimal overhead, and lightning-quick request handling.The Benchmark SetupHardware & Testing Environment· Platform: Google Colab v5e-1 TPU Instance · Testing Tool: wrk with 1 thread, 10-second duration ·...
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Blazeio.SharpEvent: A Python Async Primitive That Scales to 1M Waiters with O(1)
I’ve been working on a Python async library ([Blazeio](https://github.com/anonyxbiz/Blazeio)) and stumbled into a shockingly simple optimization that makes `asyncio.Event` look like a relic.### *The Problem* `asyncio.Event` (and similar constructs in other languages) has two nasty scaling flaws:1. *Memory*: It allocates one future per waiter → 1M waiters = 48MB wasted.. 2. *Latency*: It wakes...
AI's Impact on Literacy: Transforming How Kids Learn to Read and Write
Blazeio vs. FastAPI: A Performance Benchmark
Blazeio is a custom Python framework that has been benchmarked using ApacheBench, and the results suggest that Blazeio outperforms FastAPI in terms of requests per second, mean time per request, and transfer rate across varying concurrency levels. These metrics indicate that Blazeio is significantly faster and more efficient at handling requests compared to FastAPI in these tests. The...
Re:BlackSheep: Fast ASGI web framework for Python
on Monday December 23, 2024 @06:14PM (#42498361)
I built Blazeio ([https://github.com/anonyxbiz/Blazeio]) because aiohttp let me down in production. I needed a framework I could trust to support high-concurrency web apps, and rather than just complain, I decided to build it myself. It’s not about coding pointlessly, it’s about solving real problems. I update it for me, but since others have faced similar challenges, they can benefit from it too. I designed to be efficient, scalable, and lightweight, capable of handling hundreds of thousands of requests on a single server with minimal resources. Sometimes, creating something is motivated by necessity, not just by a paycheck.
Re:BlackSheep: Fast ASGI web framework for Python
on Monday December 23, 2024 @06:06PM (#42498327)
Quart has hidden bugs that you'll only discover in prod.
Re:BlackSheep: Fast ASGI web framework for Python
on Monday December 23, 2024 @06:04PM (#42498316)
I'm building and maintaining Blazeio: https://github.com/anonyxbiz/Blazeio. Blazeio is designed to handle massive concurrency with low response times and high requests per second. It utilizes a perishable buffer, discarding chunks as they are received, and operates with a single task throughout the entire request/response cycle. In theory, Blazeio can scale to handle infinite concurrency. While Black Sheep crashes under heavy load, Blazeio continues to scale seamlessly and outperform it.