Postlia
Write once, post everywhere.
What it does
Most schedulers bolt on an AI writer and flood your feed with text nobody wrote. Postlia does the opposite. Write once, tailor captions per platform, and schedule across LinkedIn, Instagram, Facebook, TikTok, Bluesky, Pinterest, YouTube Shorts and Mastodon. First Draft plans your week from your own ideas and past posts, in your voice, and nothing publishes without your approval. A built-in Slop Detector scores how bot-like your text sounds before it goes out. Plus 25+ free tools, no signup.
Write once, post everywhere. Schedule posts to LinkedIn, Instagram, TikTok, Bluesky & more, track performance, and use 25+ free AI tools for captions, hashtags, and usernames. Start free.
Schedule and publish to LinkedIn, Bluesky, Instagram, TikTok, Pinterest, YouTube Shorts & Mastodon from one calm composer, and start free with 25+ handle checkers, generators and guides. Made by two people who answer the support email. Free for 7 days, cancel anytime. Post, schedule, write and measure across every platform, without juggling five tabs. Write once and Postlia pushes it to every connected account at the same time, formatted for each platform. Launching our new pricing today, same product, simpler plans. 🎉 Queue posts on a visual calendar and let Postlia publish at the exact time your audience shows up. Tailor tone and length for each network from one draft, no more…from postlia.com
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Postcron: Scheduler for Instagram2018 · ▲109Schedule Instagram posts & stories without notifications
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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…
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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