Linkdify
Your entire LinkedIn GTM team, run by AI
What it does
Linkdify is your AI LinkedIn GTM team. Claim a real, warmed LinkedIn account we provision, so you never risk your own, then let AI agents find leads with buying signals, write outreach that sounds human, and send DMs, connection requests, and voice notes across automated campaigns. Fully MCP-native, so you can run your whole pipeline right from Claude. Turn LinkedIn into a steady stream of booked meetings, on autopilot.
Linkdify's AI agent finds LinkedIn leads already showing intent — job changers, post engagers, competitor activity — then writes and runs your outreach.
Linkdify finds the leads already showing intent , writes the outreach, and runs the campaign. Bring your own LinkedIn account, or claim a warmed-up one Describe your ideal customer and Linkdify surfaces the high-intent LinkedIn people already showing it: job changers, post engagers, and the ones circling your competitors. Add the leads to a personalized outreach campaign and let it run, with multi-step sequences and human-like timing. Replies flow into one inbox. Interested prospects reply on their own, and every warm conversation lands in one inbox. All you have to do is show up. No account, or don't want to touch your own? Rent a real, aged LinkedIn profile, rebrand it to your company,…from linkdify.io
Does the same job
all alternatives →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 · 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 · 26d ago · cactuscompute.com


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 · 17d ago · simedw.com