pain-to-pip-package

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name: pain-to-pip-package version: 0.1.0 description: >- Complete pipeline: Reddit pain scan → cluster → build pip-installable CLI tool → push to GitHub. 5 tools shipped using this pattern. Proven with 343 pain signals across 6 subreddits. category: product

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Pain-to-Pip-Package Pipeline

End-to-end workflow for turning Reddit complaints into standalone pip-installable CLI tools.

When to use

You've scanned Reddit and found a recurring pain point (≥3 signals)

You want to build a tool that solves it

You want the tool discoverable via GitHub search

You want it pip-installable as a standalone package

Pipeline Steps

1. Scan Reddit for pain signals

python3 scripts/daily-pipeline run

Uses Reddit's public .json API (no auth needed for reading). Key lessons:

Pushshift is dead (403 Forbidden) — use reddit.com/r/{sub}/hot.json directly

Rate limits: 429 errors after ~5 subs. Keep SCAN_TIMEOUT ≤ 8s, sleep 0.5s between requests

5 subreddits max for <2 minute scans. More = diminishing returns + rate limits

Use a realistic User-Agent header

2. Classify pain signals into clusters

Keywords-based clustering into 8 categories:

AI Censorship / Safety Overreach

AI Model Degradation

AI API Pricing / Cost

GitHub / CI-CD Issues

AI Code Quality

Local LLM / Deployment

Supply Chain Security

AI Detection / Deepfake

Existing tools are matched via keyword map to avoid duplicates.

3. Build the tool as a standalone pip package

Every tool follows this structure:

tool-name/
  pyproject.toml         # setuptools.build_meta, entry point
  README.md              # install + usage + pain source quote
  tool_package/
    __init__.py          # from .cli import main; __version__
    cli.py               # all logic, main() at bottom

pyproject.toml template:

[build-system]
requires = ["setuptools>=64", "wheel"]
build-backend = "setuptools.build_meta"
[project]
name = "tool-name"
version = "0.1.0"
description = "..."
readme = "README.md"
license = {text = "MIT"}
requires-python = ">=3.8"
keywords = ["relevant", "search", "terms"]
urls = { repository = "https://github.com/OWNER/REPO" }
[project.scripts]
tool-command = "tool_package.cli:main"
[tool.setuptools.packages.find]
include = ["tool_package*"]

CRITICAL: build-backend must be "setuptools.build_meta" NOT "setuptools.backends._legacy:_Backend". The latter causes BackendUnavailable on pip install.

4. Test the install

pip install --break-system-packages ./tool-name
tool-command  # verify entry point works

5. Push + Release

git add tool-name/
git commit -m "feat: tool-name — description"
git push
gh release create vX.Y.Z --title "vX.Y.Z — N Tools" --notes "..."

6. Update root README

Add tool to the Tools section with demo output

Update install section with new pip command

Update roadmap table

Add stars badge: !Stars

Pitfalls

1. Never use execute_code to read+write files in the same script — read_file returns line-numbered content like 1|content. If you pass that to write_file, the file gets literal 1| prefixes, breaking TOML parsers.

2. Reddit browser access blocked — Cloud browsers get "blocked by network security" on Reddit. Only API access works. Posting requires user credentials (praw or OAuth).

3. pip in newer macOS — Use --break-system-packages flag or create venvs.

4. GitHub topic limit — 20 topics max. Remove generic ones (tools, productivity) to make room for search-specific ones.

SEO: Making tools discoverable

GitHub search indexes: repo name, description, topics, README content (lower weight).

Description formula: "AI CLI tools: [keyword1] & [keyword2], [keyword3] & [keyword4], [keyword5] for [providers]. [unique hook]."

Example: "AI CLI tools: prompt censorship checker & bypass, model quality watchdog & degradation monitor, API cost comparison for OpenAI Claude DeepSeek Gemini. Built from real Reddit user complaints."

Topics: Prioritize search-intent keywords over generic ones. Every topic is a search facet.

Validation: After updating, search GitHub for the exact phrases users would type. Verify the repo appears in top 3.

Daily Automation

Two cron jobs drive continuous improvement: 1. daily-reddit-pipeline (8:00 AM): scan → classify → report → push to GitHub 2. github-metrics-daily (9:00 AM): record stars/views/search rankings