GitHub Copilot VS Klipy
Compare GitHub Copilot VS Klipy and see what are their differences
AI agents that spec, build, test, and ship code โ with voice chat, deep GitHub integration, and zero LLM markup.
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GitHub Copilot
Cursor
Windsurf Editor
Codeium
replit
Claude Code
Tabnine
Amazon CodeWhisperer
Klipy
HubSpot
Apollo.io
Gong.io
Attio
HubSpot CRM
Fireflies.ai
Salesforce
Trained on billions of lines of public code, GitHub Copilot puts the knowledge you need at your fingertips, saving you time and helping you stay focused.
Klipy is the AI sales agent for B2B teams who win deals on speed. Every conversation - across email, calls, LinkedIn, WhatsApp, and Telegram - produces a drafted follow-up, an updated CRM record, and a queued next step in minutes. You approve. Nothing reaches a prospect without you. Thousands of sellers use Klipy to make sure they are always first to follow up, every time.
Key features:
Free to start, no credit card required. Getting started takes two minutes. Used by sales teams across 56 countries - klipy.ai
GitHub Copilot KlipyKlipy's answer:
Jung (co-founder, prior ML startup exits) was in a board meeting when a hot prospect replied โ and lost the deal to a competitor who responded in 10 minutes.
He built the first version to draft his own follow-ups automatically. After sharing it with early users, 4,450 agent conversations in 8 weeks revealed the same pattern: "when A happens, do B, I'll approve, then execute C." 75% of requests were for execution nobody else could deliver.
That gap between conversation and revenue-producing action became the product. Backed by UBS, AppWorks, Google Cloud, and Microsoft for Startups.
Klipy's answer:
Klipy's answer:
B2B sales teams and GTM-background founders who lose deals to slower competitors.
Klipy's answer:
Klipy's answer:
Your agent occupies the only position in the market that works: fast AND supervised.
Every other tool either records and suggests (slow) or acts without you (fast, but burns domains and gets 0 replies). Your agent watches every conversation, drafts the follow-up with full deal context, and waits for your approval. Speed without giving up control.
Klipy's answer:
78% of deals go to whoever responds first. Not whoever's best. Your agent makes that speed structural โ not dependent on how fast you type.
vs. Gong: Gong is the best call recording platform. But recording a conversation doesn't follow up on it. Your agent does.
vs. HubSpot / Salesforce: The most popular CRMs for sales teams. But your CRM only knows what reps remember to type. Your agent knows what was actually said.
vs. Fireflies / Otter.ai: Great for transcription. Transcripts don't close deals. Your agent drafts the follow-up from the conversation โ in 6 minutes.
vs. autonomous AI SDRs (11x, Artisan): 1,400 emails, 0 replies. Burns domains. $550/positive reply. Your agent drafts from real conversations and you approve before anything sends. That's supervised, not autonomous.
Speed of a machine. Control of doing it yourself. That's why it works and they don't.
It definitely increases my productivity.
Based on our record, GitHub Copilot seems to be more popular. It has been mentiond 387 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Where llms.txt genuinely gets read is a different layer: coding and agent tooling โ Cursor, Claude Code, GitHub Copilot, Windsurf โ pulling a documentation site's pages with less token waste, plus emerging agent protocols like OpenAI's Agents SDK. That's real, and it's growing fast. - Source: dev.to / 9 days ago
You need an active GitHub Copilot subscription. Plans are available at individual, business, and enterprise tiers at github.com/features/copilot. Once active, all tools use your GitHub account credentials. - Source: dev.to / about 1 month ago
For over a decade PhpStorm (starting in my WordPress era) and later WebStorm have been my main IDEs for web development. So when GitHub Copilot launched, it was a natural choice to try it out in WebStorm. It was one of the first AI coding tools I used, and it had a big impact on how I thought about AI-assisted coding. - Source: dev.to / about 1 month ago
Before we get into it, there are some things about AI usage worth addressing. I've had my fair share of scepticism in the past, but recent model releases have made it increasingly difficult to argue that AI isn't a viable tool for the majority of workstreams, including building user interfaces. Most large language models are trained on public data scraped from the internet, which means your internal design system... - Source: dev.to / about 1 month ago
Most developers still treat GitHub Copilot like a very good autocomplete engine. That's useful, but it's not the real unlock. - Source: dev.to / about 1 month ago
Cursor - The AI-first Code Editor. Build software faster in an editor designed for pair-programming with AI.
HubSpot - Grow Better With HubSpot: Software that's powerful, not overpowering. Seamlessly connect your data, teams, and customers on one CRM platform that grows with your business.
Windsurf Editor - Tomorrow's editor, today. Windsurf Editor is the first AI agent-powered IDE that keeps developers in the flow. Available today on Mac, Windows, and Linux.
Apollo.io - Apolloโs predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
Codeium - Free AI-powered code completion for *everyone*, *everywhere*
Gong.io - Gong uses AI to analyze spoken conversations from audio sources and web conferencing platforms such as Cisco WebEx, GoTo Meeting and Zoom.