PipeWise: Turning r/Plumbing Into a Content Engine
Scrape a trade subreddit past its anti-bot wall, tag every post with a local LLM, cluster the questions people actually ask, and rank what to write next.
Scrape a trade subreddit past its anti-bot wall, tag every post with a local LLM, cluster the questions people actually ask, and rank what to write next.
An address-to-water-utility API with a measured confidence tier on every answer — 211 tests, five milestones, four SaaS surfaces, and no customers yet.
I turned a folder of downloaded PDF books into an offline RAG chat that answers only from the text and cites the exact page — running entirely on my RTX 3070.
I rebuilt all 20 type-in BASIC programs from a 1984 Marvel computer book — bugs and all — as browser and Python ports behind one green-CRT retro menu.
A Python engine scoring copper-corrosion risk in Palm Beach County water via LSI, RSI, Larson-Skold, and a PHREEQC-validated CCPP solver. Then the data ran out.
I scraped the EWG Tap Water Database for every Palm Beach County ZIP and turned it into SQLite, CSV, homeowner-friendly reports, and a dashboard.
Running an open-source AI short-video generator end-to-end on a local stack — topic in, vertical MP4 out — with a local Ollama model and no paid LLM keys.
I took NVIDIA's pdf-to-podcast blueprint and ran it on a fully local stack — tiered Claude writes the script, Kokoro does the voices, no NVIDIA or ElevenLabs keys.
A Python tool that scores a county's public building-permit export into a ranked list of sales leads — categories, weighted signals, and 28 tests.
I wired the open-source Scrapling scraper into Claude Code as a global MCP server, so the agent can fetch, scrape, screenshot, and bypass anti-bot pages itself.