
Spoyler — Stop Getting Clickbaited
Ruins the clickbait surprise.
What it does
I was Fed up with "You won't believe what happened next" headlines. So i built Spoyler hover any link, press S spoyler detects the content type (news, sports, finance, job listings, ads, paywalls, Reddit threads) and gives you a different style of answer for each. Sports gets full unhinged fan energy (me). Job listings get the recruiter-who-tells-the-truth treatment. Ads get called out specifically. Made it basically based on my personality my humor etc that was the bulk of the work honestly.
Does the same job
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- CTCut the crap – remove AI bullshit from websites2024 · cut-the-crab.streamlit.app · ▲356
I’ve spent a lot of time reading articles that promise a lot but never give me what I’m looking for. They’re full of clickbait titles, scary claims, and pointless filler. It’s frustrating, and it’s a waste of my time. So I made a tool. You give it a URL, and it tries to cut through all that noise. It gives you a shorter version of the content without all the nonsense. I built this because I’m tired of falling for the same tricks. I just want the facts, not a bunch of filler. What do you think? I’m also thinking of making a Chrome extension that does something similar—like a reader mode, but…

- IBI built a tech news aggregator that works the way my brain doesOct 2025 · deadstack.net · ▲188
An honest to god, non-algorithmic reverse chrono list of tech news that passes my signal-to-noise tests, updated hourly. A lightweight a page design as I've been able to keep; simple, clean, fast. No commercial features or aspirations - this is a passion project, something I've been fooling around with on and off for decades. There's a "Top" view too with an LLM edited front page & summary, and categorized views for a large number of topics - see the Directory. A few more buried features to explore, but the fundamental use case is pop in, scan, exit - fast and concise. Your feedback would be…
More ai this month
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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 · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d 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 · 27d ago · cactuscompute.com


Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


