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RepEdge.ai โ AI Sales Call Intelligence for Closers
We saw what the big revenue platforms were doing and thought: โWe can do this better for real teams.โ
RepEdge.ai analyzes every sales call (Zoom, Meet, Teams), predicts win probability with 95% accuracy, gives personalized coaching on every single call, and pushes everything straight into Salesforce & HubSpot.
Key Features โข 95% accurate win-probability scoring โข Real-time manager dashboards + team comments โข Personalized rep coaching after every call โข Objection tracking by stage โข Salesforce & HubSpot sync (no manual work) โข 10-day unlimited trial โ no credit card
Pricing $80/user/month or $65/user/month annual (save 29%) No $5K implementation fee
Built by ex-top AEs who lived the quota grind. No enterprise bloat. Just the tools that actually move quota.
Start your 10-day trial โ https://repedge.ai
RepEdge.ai
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RepEdge.ai's answer
โข 95% accurate win-probability scoring โข Real-time manager dashboards + team comments โข Personalized rep coaching after every call โข Objection tracking by stage โข Salesforce & HubSpot sync (no manual work) โข 10-day unlimited trial โ no credit card
RepEdge.ai's answer
RepEdge.ai analyzes every sales call (Zoom, Meet, Teams), predicts win probability with 95% accuracy, gives personalized coaching on every single call, and pushes everything straight into Salesforce & HubSpot.
RepEdge.ai's answer
We saw what the big revenue platforms were doing and thought: โWe can do this better for real teams.โ Built by ex-top AEs who lived the quota grind. No enterprise bloat. Just the tools that actually move quota.
Based on our record, GitHub seems to be more popular. It has been mentiond 2463 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.
The core of the ecosystem is the official open-source server hosted on GitHub. It is written in TypeScript and implements the full MCP specification. - Source: dev.to / 4 days ago
This is why the gate needs a trace it can trust, and why AgentLens is the other half of this workflow. agent-eval scores and gates the output; AgentLens captures the trace of how the agent got there โ every model call and tool step, the resolved inputs (not the templated ones), the raw outputs. That trace is exactly the unforgeable, agent-didn't-author substrate that Tier 1+2 need to score against. Without it,... - Source: dev.to / 5 days ago
## Tell Git to start tracking your project Git init ## Take a snapshot of all your current files Git add . ## Save this snapshot with a description Git commit -m "Initial commit from AI tool" ## Connect your local project to GitHub ## Get repository URL from your GitHub page ## it looks like https://github.com/your-name/your-repo.git Git remote add origin PASTE_YOUR_URL_HERE ## Upload your code to GitHub Git... - Source: dev.to / 14 days ago
Conclusion Next time Git insists a private repository doesn't exist, skip editing your config file and head straight to the Windows Credential Manager. Wiping out the stale git:https://github.com entry forces a clean handshake, getting you back to coding in less than a minute. - Source: dev.to / 15 days ago
Gitea is where all private repositories live: infra configs, personal projects, anything I don't want on a third-party server. Public projects still go to GitHub because that's where the audience is, but a number of those GitHub repositories are mirrored back to Gitea as a local backup. The split is simple: Gitea for control and resilience, GitHub for reach. - Source: dev.to / 16 days ago
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