CiteVox
Research-Backed LinkedIn Posts In Your Authentic Voice
What it does
LinkedIn posts you can actually stand behind. CiteVox does the research for you. We dig through credible sources to build posts grounded in real, verifiable information. Every claim links to its source in your dashboard. Check it, trust it, then publish. Your voice is yours. We study how you write. Your rhythm. Your vocabulary. The way you structure a thought. And we match it. The output sounds like you, because it learned from you. Official LinkedIn Developer Partner. 2 free posts to start.
Does the same job
all alternatives →- LSLinkedIn sucks, so I built a better one2025 · heyopenspot.com · ▲470
LinkedIn feels more like Facebook every day — noisy feeds, fake engagement, and everyone shouting into the void. Thats why I used to built a personal microsite on Squarespace and uploaded a video resume to YouTube to stand out - it helped me land interviews and get into Big Tech. But I always wondered: why isn’t there a platform designed to help you stand out like that? So I built OpenSpot: a public, curated platform where you can showcase who you are — with video, audio, and proof of your work. No endless feeds. No humblebrags. Just real people open to new opportunities. We’ve already…
LinkedIn Review, by Resume Worded2018 · ▲97Tailored feedback on how to optimize your LinkedIn profile
More ai this month
the category →
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, January 2026
the whole month →- IN
Hey HN! I wanted to share something I built over the last few weeks: isometric.nyc is a massive isometric pixel art map of NYC, built with nano banana and coding agents. I didn't write a single line of code. Of course no-code doesn't mean no-engineering. This project took a lot more manual labor than I'd hoped! I wrote a deep dive on the workflow and some thoughts about the future of AI coding and creativity: http://cannoneyed.com/projects/isometric-nyc
AI · Jan 2026 · cannoneyed.com
Automatic AI-powered code reviews the moment you open a PR
Dev tools · Jan 2026 · kilo.ai
