Clearline Reputation
Content removal and account recovery, with stated limits
What it does
Most removal services quote a price before they know whether removal is even possible. Clearline starts with a written per-URL assessment: which URLs have a viable legal ground — DMCA, privacy law, NCII, terms violation — and which don't. If nothing is viable, we say so, no charge. Requests go to the host, the platform and the search engine in parallel, and every case includes 90 days of re-upload monitoring. No false copyright claims, no unauthorised account access.
Content removal and reputation management handled as documented casework: takedown requests, search deindexing, suppression and account recovery, with honest limits stated up front.
We file takedown requests on stated legal grounds, pursue search deindexing where removal is refused, and recover compromised accounts. Every case starts with a written assessment of what is realistically removable — including the parts that are not. What is content removal and reputation management? Content removal is the process of getting a specific page, image, or post deleted at its source or removed from search results, using a documented legal or policy basis such as copyright, privacy law, or a platform terms violation. Reputation management is the broader work of changing what appears on the first page of search results for a name or brand, through removal where possible and…from clearlinereputation.pro
Does the same job
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AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 29d ago · astrapixels.com

Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d 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