The task is simple: to use every legitimately available free resource in order to build the most comprehensive real-time assessment of new Python tooling those resources allow. The eventual goal: Test every new PyPI release for actual install success across multiple Python versions and Linux distributions. Publish the results. All of them. Forever. PyPI has no quality floor. We are the quality floor.
THE PROBLEM
Libraries.io tracks metadata, not reality.
Nobody is running the code.
ROLLOUT PHASES
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1Watchdog CoreRSS fetch → Docker install matrix → SQLite log → daily report. Single VPS, one Python version. Prove it works.This Week
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2Multi-Environment MatrixPython 3.10–3.13 × Debian, Ubuntu, Alpine. 6 environments per package. Deduplication of patch releases.Week 2
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3Asciinema Capture + Feed SiteRecord real terminal sessions. Static site with live feed. RSS output. Yggdrasil broadcast address.Month 1
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4Max Headroom PresenterPiper TTS reads daily reports. ffmpeg glitch filters. Synthetic avatar reads machine-generated assessments of other machines.Month 2–3
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5Distributed Node NetworkClaim all available free tier compute. Each node samples different slice. Central aggregator merges. Zero dollar data center.Month 3–4
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6LLM Functional VerificationModel reads README, writes minimal implementation, runs it, records what happens. Actual functional testing at scale.Month 6+
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7Stack Interaction MappingTest common co-installation patterns. Data science stack, web stack, NLP stack. What breaks what. The real Linux problem.Year 2
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8Full Index CoverageEvery release. Every day. At current free-tier rates: 2046. With sponsorship: considerably sooner.The Goal
DISTRIBUTION + MEDIA
Four hundred packages. Eleven w-worked."
Dark mode terminal aesthetic. Real data. Ambient second-monitor content. The people who will immediately understand what they're looking at.
Chunky pixel fonts. Color explosions on success. Cartoon sad face on segfault. Ambient technical literacy by osmosis. One hour a day.
High contrast. Peripheral movement. Animated cursors. Butterflies on success. Dogs running off screen on timeout. Seriously.
PyPI epidemiology. Historical ecosystem health corpus. Dependency conflict mapping. Something to cite. The PSF should be doing this.
Never outcome. The data is the data.
NODE NETWORK
Seed slice: 0,6,12...
Seed slice: 1,7,13...
Seed slice: 2,8,14...
Seed slice: 3,9,15...
Seed slice: 4,10,16...
Merges all results
5 nodes = ~5% daily coverage = statistically significant ecosystem signal. Adding nodes = adding coverage. Linear scale. Zero marginal cost per new free tier account.
Powered by changedetection.io watching provider free tier pages.
Audience: every indie dev, student, researcher making infrastructure decisions on stale blog posts from 2022.
Providers pay to be listed accurately and prominently.
THIS WEEK
Nothing here is hard. Most of it is setup and looking at results.