LinkedMail AI - Cold Email Generator
Personalized cold emails from LinkedIn in one click
LinkedMail AI - Cold Email Generator launched on May 14, 2026 with 2 votes, #6,288 of 20,538 launches that month.
What it does
Most cold emails fail because they're generic templates. LinkedMail AI reads the LinkedIn profile and writes a fully personalized email in seconds — real name, job title, company, and background. No placeholders. → Choose your tone: Professional, Friendly, Direct, Casual → Choose your purpose: Sales, Recruiting, Partnership, Networking → Click Generate — done Free: 5 emails/month. Pro: Unlimited at $19/mo.
Generate personalized cold emails from any LinkedIn profile in one click. Powered by AI. Used by sales reps, recruiters, and founders.
Stop writing the same email over and over. LinkedMail AI reads the profile and writes a tailored email in seconds. Built for sales reps, recruiters, and founders who send cold outreach on LinkedIn every day — and are tired of writing the same email from scratch. Navigate to the profile of the person you want to reach. The extension works on any public LinkedIn profile. Pick your goal (sales, recruiting, networking, partnership) and the tone that fits your style. Get a fully personalized email with subject line in seconds. One click to copy it into your inbox. Uses their actual job title, company, and career summary — not generic filler text. No copy-pasting profile data into a tool.…from linkedmailai.com
Does a similar job
all alternatives →

Sunnygo2023 · cold-email-eight.vercel.app · ▲90Generate personalized cold emails using LinkedIn profiles


More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 21d ago · stillwet.art
PixVerse R2▲381A real-time world model you can explore and change
AI · 30d ago · world.pixverse.video

Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com