
Klipy
Attio
HubSpot
Apollo.io
AwiFin
Gong.io
Less Annoying CRM
HubSpot CRM
CodeClimate
Codacy
SonarQube
ESLint
CodeFactor.io
Coveralls
SensioLabs Insight
Source-Navigator NG
Klipy AI (klipy.ai) is the AI CRO: the AI sales agent that runs your sales operation across capture, close, and compound. It captures the buyers already engaging with you, closes every deal past the meeting, and compounds each win into the next one, while you deliver the work.
Speed decides B2B deals: 35 to 50 percent go to whoever responds first, yet the average follow-up lands 47 hours after the call. Klipy closes that gap. After every email, call, and meeting, it drafts the follow-up from what was actually said, updates the CRM itself, and queues the next step, in minutes.
You stay in control. You approve, Klipy drafts. As autonomous as you allow, never more. It never moves the dial itself. Connect your inbox and calendar once and most of the loop starts working; the meeting notetaker turns on with one more step, and channels like LinkedIn, WhatsApp, and Telegram connect separately.
What Klipy does for you: - Drafts every follow-up in your voice, ready to send on your approval. - Keeps the CRM current from the conversation, not from memory. - Brings email, calls, and messaging channels into one place. - Flags deals going quiet before you lose them. - Turns each win into the next by learning who actually buys from you, then finding the next likely account.
Built for owner-led B2B firms that sell and deliver at the same time: B2B SaaS, IT and software services, management consulting, creative and digital agencies, and coaching and advisory. 4,300+ customers across 64+ countries. Founded 2024.
Free forever, no credit card. Paid plans from $39/seat/mo. Start at klipy.ai.
Klipy
CodeClimateKlipy'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.
Based on our record, CodeClimate seems to be more popular. It has been mentiond 19 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.
Automated analysis tools: SonarQube, CodeClimate, and Codacy detect code-level debt automatically: cyclomatic complexity, code duplication, dependency staleness, and coverage gaps. These tools supplement but don't replace the architectural and business-logic debt that requires human judgment to identify and document. - Source: dev.to / 3 months ago
CodeClimate and Codacy can generate before/after metrics for code quality that make the starting and ending states concrete rather than subjective. - Source: dev.to / 3 months ago
CodeClimate quantifies maintainability so teams canโt hand-wave garbage away. - Source: dev.to / 11 months ago
Code Climate: Link - Automated code review and quality analysis for codebase health. - Source: dev.to / about 1 year ago
Use tools like SonarQube or CodeClimate to spot the high-risk 20%. Then fix one thing at a time not everything at once. This isnโt Dark Souls. - Source: dev.to / over 1 year ago
Attio - Attio is a radically new type of CRM that is real-time, entirely customizable and intuitively collaborative. Using Attio, your team can create, build and deploy your CRM exactly as you want it.
Codacy - Automatically reviews code style, security, duplication, complexity, and coverage on every change while tracking code quality throughout your sprints.
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.
SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
Apollo.io - Apolloโs predictive prospecting, sales engagement, and actionable analytics help the teams to reach its full revenue potential.
ESLint - The fully pluggable JavaScript code quality tool