Spoto: Catch AI
One screenshot. Know if it's real.
What it does
Deepfakes are getting scary good. Spoto changes that. Screenshot any frame from any suspicious video — on TikTok, Instagram, WhatsApp, the news, anywhere — and Spoto's AI scans it across 47 deepfake markers in under 5 seconds. You get a verdict, a confidence score, and a visual breakdown of exactly what gave it away.
Does the same job
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DeepFakeCheckJul 2026 · deepfakecheck.io · ▲7Evidence-first AI checks for video, audio, image & text
Clipo AI — One Video, 20 Content PiecesMay 2026 · clipo.pro · ▲33One video → clips, carousels, personalized posts, img & more
- RDReality Defender – Free Tier for Deepfake Detection in Images and Audio2025 · app.realitydefender.ai · ▲16
Hi HN, We just launched the free tier of Reality Defender, our deepfake detection platform. It lets you programmatically analyze images and audio to detect AI-generated content using our SDK. The free tier includes 50 credits per month, no credit card required. You get back a confidence score via the API. We also support detection for video and text, as well as integrations with Zoom, Teams, and contact centers for real-time audio and video — happy to talk more if you're working on those. You can get started here: https://app.realitydefender.ai and read more about a Slack use case…
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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.
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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…
AI · 27d ago · cactuscompute.com
Launched alongside, June 2026
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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