⚠ Dangerously Educational
STATUS: PRE-LAUNCH
LAUNCH: NEW MOON — THURSDAY
COVERAGE TARGET: 1% DAILY RELEASES
INFRASTRUCTURE: $0/MONTH
DOCUMENT: LIVING WHITEBOARD v0.1

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

PyPI Scale
760K+
Total Projects
15K
New releases/day
0
Quality checks
Slop potential
Daily Reality
$ pip install definitely_not_malware_v2
Collecting definitely_not_malware_v2...
ERROR: Could not find a version that satisfies the requirement
 
$ pip install ai_everything_framework
Successfully installed ai_everything_framework-0.0.1
$ python -c "import ai_everything_framework"
ModuleNotFoundError: No module named 'ai_everything_framework'
 
$ pip install bipolarization
Successfully installed bipolarization-1.2.0
Actually works. Rare.
What Doesn't Exist
Continuous compatibility data 0%
Cross-distro install matrix 0%
Stack interaction mapping 0%
Functional verification at scale 0%
Historical ecosystem health data 0%
Self-reported PyPI classifiers are unverified.
Libraries.io tracks metadata, not reality.
Nobody is running the code.

ROLLOUT PHASES

Build Sequence
Infrastructure Stack
Oracle Cloud ARM (4c/24GB)Free Forever
Google Cloud e2-microFree Forever
Cloudflare Workers (aggregator)Free Tier
Codeberg (git hosting)Free / OSS
Liberapay (donations)No Fees
Yggdrasil (mesh broadcast)Free / P2P
Piper TTS (voice synthesis)Local / OSS
asciinema (session capture)OSS
ffmpeg (video render/stream)OSS
Hetzner VPS (if needed)~€4/mo
Pluto TV ChannelApply Month 3
Additional free tier nodesOngoing Hunt
Launch Window
🌑
Days to New Moon
First commit: Thursday New Moon
Hardware: Dell Inspiron i7 / 16GB
GPU: None. Zero. Irrelevant.
Budget: $0 to start
Team: 1 human + nodes
Docker
Python
SQLite
feedparser
asciinema
ffmpeg
Piper TTS
Yggdrasil

DISTRIBUTION + MEDIA

The Presenter
@@@@@@@@@@@@%#+==+##%%%%%#*--+#%%%#*-:=*#%#+--+##*=-=*#+--*#*=:-*#*=-+##=-+#*==*#+=*#++##+@@@@@@@@@@ @@@@@@@@@@#@%@%%%%#+=-+#%%%%#=--*%%%*=:=*##*--+*#+--*##=::*##+:-*#*=-*#*=-*#*-+##=+##++#*+@@@@@@@@@@ @@@@@@@@@@@%*=+*%%%%%%*--+#%%#+--=###+--+#=+++==+=++=+***#=##+--*#*=:+#*=-*#*-+##++##=*#*+@@@@@@@@@@ @@@@@@@@@@@@@%%*=-+#%%%#+--*###+--*##+-=+========+==*+==+*#%%#=:=##+-=##+-+##-=##+=##+*%*+@@@@@@@@@@ @@@@@@@@@@=+#%%%%%=-=#%%%+-=*%#*--*#%#========-=======+*##%%%%*:=#%#--##*==##+-##*=#%*=##=@@@@@@@@@@ @@@@@@@@@@%#=-*%%%%*--*%%#--+#%%+-:=##%-===------=--=*==++**##%+:=#%+:+##+-*%#-+%#=+%*-##+@@@@@@@@@@ @@@@@@@@@@%@%#-=*%%%+:=#%%#=.-#%%#+:-**===---------===++++**%%#%+:+%%+:*%#=-##*-#%*-#%=*%*@@@@@@@@@@ @@@@@@@@@@*%%%*-=#%%%*::+%%%#-.+#%%#=.====----------====++**#%%%%+:*%%+:*##-+#%==%%=+%#-#%@@@@@@@@@@ @@@@@@@@@@=*%%%%+:-#%%%#-.+%%%#=.+%%%*+==-----:------===+*####@+%#*:*%#=:#%#:+%%-=%#-#%*=#@@@@@@@@@@ @@@@@@@@@@%+:+%%%%*-:*%%%%=.+%%%#=.+%++=-----::::------=+*####%:=###:*%%+:###:+%#:*%#-#%+*@@@@@@@@@@ @@@@@@@@@@%%@#:-#%%%%=:=%%%%+:+#%%%=.++=----::::::----=+*###%#%%=:###-=#%#:*%%-+%%-*%#-##-@@@@@@@@@@ @@@@@@@@@@=#%%%%+:=#%%%*--#%%%*:-#%%%=++=--:::---:---=+*###%%%%%%#.+%%+:#%#-*%%-=%%=*#*=%#@@@@@@@@@@ @@@@@@@@@@%+-+#%%%%--*%%%%=:*%%%%=:*#=====-:::--::-==+**##%%%%+:##%=-#%#:+%%=-%%+-%%-*#*=%@@@@@@@@@@ @@@@@@@@@@%@%%=-+%%%@*:=#%%%*:=#%%%*:=====----=--===++++*#%%%%%%-=#%#:+%%+-#%*-#%*-%%=+%*=@@@@@@@@@@ @@@@@@@@@@==#%%%%+:*%%%%+:=%%%%+.=#%%+*++*+==-=--====+++#%%%%%@%%#:+%%*:#%%-+%%-+%%-*%*=##%@@@@@@@@@ @@@@@@@@@@%%#-=#%%%%=:*%%%%+:+%%%%-:*=++#+=++--+###**#%#%%##%@@%+%%*:#%%=-#%+-#%*-%%+=%#-%@@@@@@@@@@ @@@@@@@@@@*%%@%#--#%%%%=:*%%%%-:*%%%#--==++=---**-=+**#*+++#%%%##.*%%+.#%#:*%%-+%%-+%#:%%-@@@@@@@@@@ @@@@@@@@@@%#-+%%@%%--#%%%%+:*%%%%=:#%-------=--*++========+%%%:+%%#:*%%=-%%#:#%%-#%#:%%=+%@@@@@@@@@@ @@@@@@@@@@@@@@#--#%%%%+:*%%%%+:*%%%%--==--==--=**++=====+*%%%%%%--%%*.#%%=-%%*:%%#:%%++%#-@@@@@@@@@@ @@@@@@@@@@#-*%%@@%+:*%%@%*:*%%%%+:*%%%++==+=:-+**#+++++*#%%%%+:#%%:=%%#:#%%==%%+-%%+=%%-#%@@@@@@@@@@ @@@@@@@@@@@@@@+-#%@%%#:=%%@%%:+%%%%*.#%+====+#%%%%+++**#%%#.###*.#%%+:%%%:*%%+=%%*=%%=*%#-@@@@@@@@@@ @@@@@@@@@@*-#%%@%%-=%%%@%=:#%@%%--%%%%#++=====-+++++=+%%%%%%#:+%%%:+%%#.#%%=+%%*-%%+=%%-#%@@@@@@@@@@ @@@@@@@@@@@@@@=-#%%@@#:+%%@%#.*%%%%+:#%++++*#####***+*%%%#+.%%%*.%%%+-%%%:*%%+-%%#-%%++%%-@@@@@@@@@@ @@@@@@@@@@*=#%@@@%==%%@@@+-#%%%%=-%%%%#=+==+++++**+++#@%#%%@%-+%%%:+%%%:%%%++%%#-%@#-%%+*%@@@@@@@@@@ @@@@@@@@@@@@@@*-*%@@%%-=%%@@%-=%%@%#:*#+++==+*##*+++*%##%@@%%%%#.#%%#:%%%+-%%#:%@%:#%#:%%=@@@@@@@@@@ @@@@@@@@@@%=*%@@@%#-#%@@@#-+%%@%*:#%%%%.-=========+*%#%%@%%%%%.%%%*:%%%==%%%:%%%-*%%-#%%-@@@@@@@@@@@ @@@@@@@@@@@@@@@+=%%@@@#-#%@@%#:#%%@%+%%:.:==-=--=+#%%%%%%%#**%%%=-%%%=+%%#:#%%=+%%+=%%+*%%@@@@@@@@@@ @@@@@@@@@@@%++%@@@@#-#%@@@%-#%@@@*:#%%%::..=++++#%%%%%%%#::-*%@%%%%==%%%:*%%*-%%%:%%%-%%#+@@@@@@@@@@ @@@@@@@@@@%@@@@@#=%@@@@%-*@@@@%-#@@@%%%*:...:=##%%%%%%#:.:::#%%@@@@@@@-+%%%:%%%=*@@++%%+#@@@@@@@@@@@ @@@@@@@@@@@@@#=%@@@@%-*@@@@@@@@@@@@@%%%#.:....:=*####-:::::.%%@@@@@@@@@@@+#@@#-%%%-%%%-%@@@@@@@@@@@@
"T-t-today on The PyPI Place.
Four hundred packages. Eleven w-worked."
Audience Channels
PROGRAMMERS

Dark mode terminal aesthetic. Real data. Ambient second-monitor content. The people who will immediately understand what they're looking at.

KIDS

Chunky pixel fonts. Color explosions on success. Cartoon sad face on segfault. Ambient technical literacy by osmosis. One hour a day.

PETS

High contrast. Peripheral movement. Animated cursors. Butterflies on success. Dogs running off screen on timeout. Seriously.

RESEARCHERS

PyPI epidemiology. Historical ecosystem health corpus. Dependency conflict mapping. Something to cite. The PSF should be doing this.

Funding Model
468×60 banner (Anthropic, first offer) TBD
Sponsored verification priority $/package
Premium compatibility badge $/month
Enterprise quarterly report PDF $$/quarter
Liberapay donations Open
Bitcoin wallet Open
Pluto TV ad revenue Month 3+
NOTE: Sponsorship buys placement and speed.
Never outcome. The data is the data.

NODE NETWORK

Distributed Compute Map — Target State
ORACLE-ARM-01
4c / 24GB RAM
Seed slice: 0,6,12...
ORACLE-ARM-02
4c / 24GB RAM
Seed slice: 1,7,13...
GCP-MICRO-01
0.25c / 1GB RAM
Seed slice: 2,8,14...
AWS-MICRO-01
1c / 1GB RAM
Seed slice: 3,9,15...
HETZNER-01
2c / 4GB RAM
Seed slice: 4,10,16...
AGGREGATOR
Cloudflare Worker
Merges all results
Each node runs independent random sample with non-overlapping seed. No coordination beyond seed registration.
5 nodes = ~5% daily coverage = statistically significant ecosystem signal. Adding nodes = adding coverage. Linear scale. Zero marginal cost per new free tier account.
Bonus Feed: Free Tier Watch
A second RSS feed monitoring free tier policy changes across all major cloud providers.

Powered by changedetection.io watching provider free tier pages.

Audience: every indie dev, student, researcher making infrastructure decisions on stale blog posts from 2022.
Oracle Cloud Free TierMonitored
GCP Always FreeMonitored
AWS Free TierMonitored
Fly.io FreeMonitored
Cloudflare FreeMonitored
This feed is also its own sponsorship surface.
Providers pay to be listed accurately and prominently.

THIS WEEK

Pre-Launch Checklist
☐  Provision Oracle Cloud ARM instance — 1-2 hrs
☐  Install Docker, verify basic container — 30 min
☐  Build Python 3.11 slim Docker image — 1 hr
☐  Run fetch_packages_rss.py live — just look — 30 min + rabbit hole
☐  Design SQLite schema — 1 hr
☐  Set up directory structure + git repo (Codeberg) — 30 min
☐  Single-env install loop on 10 real packages — 2-3 hrs
☐  Install asciinema, record one session — 1 hr
☐  Draft Anthropic pitch email — 30 min
☐  FIRST COMMIT — NEW MOON THURSDAY — 2 min, ceremonial
Total: 8–10 hours spread across the week.
Nothing here is hard. Most of it is setup and looking at results.
The Long Game
Month 1: Watchdog running. Real data. Boring logs. Foundation solid.
Month 2: Asciinema feed live. First sessions published. Yggdrasil address registered.
Month 3: Max Headroom presenter reading reports. Pluto TV application submitted.
Month 4: Node network distributed. 3-5% daily coverage. Free tier watch feed live.
Month 6: LLM functional verification layer. README → implementation → run → record.
Year 1: Historical dataset. Ecosystem health trends visible. Someone cites it.
Year 2: Stack interaction mapping. What breaks what. The Linux accessibility layer.
Year 3: Comprehensive enough that PSF has to acknowledge it exists.
Eventually: Walmart greeter. But with a good answer to "so what did you do."