Postana
Plan and create weeks of social content in minutes
What it does
Postana helps you plan content for TikTok, Instagram, and LinkedIn by turning ideas into platform-native scripts, carousels, and visuals, all organized into a simple content calendar so you’re never stuck wondering what to post next.
Does the same job
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- POPostiz – open-source social media scheduling tool2024 · github.com · ▲19
This social media scheduling tool is similar to traditional ones: Buffer, Hootsuite, SproutSocial, etc. Key features: - Schedule for 9 social media platforms (Threads, Pinterest, Facebook, TikTok, Reddit, LinkedIn, Dribbble, YouTube, Instagram.) - Basic analytics for almost all the social media platforms. - AI Features: Copilots, AI Auto-complete, Canva-like editor. - Team support: Invite your team members to manage social medias. Tech stack: - NX (Monorepo) - NextJS (React) - NestJS - Prisma (Default to PostgreSQL) - Redis - Resend (email notifications) Fully open-source (Apache-2)
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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 · 19d 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
