Delete yourself from data brokers without a subscription
I signed up for a paid service to get my phone, addresses, and vehicles off the public internet. It didn’t work. So I built remove-your-data, an open-source repo that tells your agent exactly what to do to remove your personal information online.
What it does
Agent-first skill: remove your data from brokers without paying. Paste this URL into a coding agent. - k7cfo/remove-your-data
Agent skill: remove a person's listings from people-search sites and data brokers without paying deletion services . First-party opt-outs, CA DROP when they live in California, a SQLite legal log, a localhost report. Localhost only ( 127.0.0.1:8765 ): running report, household roster, cadence/pause. Synthetic sample data in the shots. This repo is the skill. You do not need a human to explain it. Workspace ( takedown.db or paper log, evidence) goes outside this clone. Data flow: docs/PRIVACY.md . No Python is fine — coach or paper log ( SKILL.md §0). python3 scripts/ryd.py init --workspace " $HOME /privacy-takedown " python3 scripts/ryd.py serve --workspace " $HOME /privacy-takedown " #…from github.com
Does the same job
all alternatives →
- PAPrivacyBot - A simple way to delete your data from all the data brokers2021 · privacybot.io · ▲62
- DYDelete your personal data from data resellers to stop you getting spam2021 · ▲7
Hi Hackernews, I've started a service which deletes your personal data from data resellers/traders which as a result stops you receiving sales or recruiter calls/emails.The service forces companies which sell your data to Sales teams and recruiters to delete it. This works via GDPR and CCPA. You probably have never heard of companies, like Cognism, VoilaNorbert, etc., which have received millions of dollars of investment selling your personal data without people knowing. Example data stored by these companies: Data about you: Full name, First name, Last Name, Email (verified),…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 17d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com