
CatchFish — Catfish & Scam Detector
Catch stolen photos, scam scripts & AI text
What it does
CatchFish catches catfish. It flags photos stolen from real people, romance-scam scripts, and bot behavior — plus AI-generated fakes as one added signal. Three tools: a dating profile analyzer, a phishing email checker, and an AI-paper detector. Upload a screenshot or paste text — get a plain-English risk score with the evidence behind it. Pro unlocks Case File: ask follow-ups, build an evidence packet, get a guided recovery plan if you've been scammed.
Spot fake dating profiles, phishing emails, and AI-generated text — all in one AI-powered detector.
You've used your free analyses. Upgrade for unlimited protection. Help us improve our AI moderation. Your report goes straight to the CatchFish team. Ask the Inspector, Evidence Packet, and Report & Recover aren't a separate tool — they activate automatically inside Profile Analyzer once a stolen-photo match is found. Run an analysis with a photo, and if reverse image search finds a match, you'll see them appear right under the results. Evidence Packet compiles what was found; Report & Recover turns that into a ranked action checklist and ready-to-use drafts for IC3, the FTC, and — if money was lost — your bank's fraud department. Pick where this should go — it'll be pasted in for you to…from catchfishapp.com
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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
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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…
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Launched alongside, August 2026
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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