A vibe-coded MVP prototype built during a product case interview.
Designed to help Mid-Market Account Executives prioritize deals
and act on AI-generated insights — without manual account research.
Mid-Market AEs managing 35–50 active deals lose 2+ hours per day
to manual CRM updates and account research. Without a synthesized
view of deal health signals, reps prioritize the loudest deals —
not the most strategic ones — leading to missed quota and longer
sales cycles.
DealPulse gives AEs a real-time, AI-augmented deal intelligence
layer on top of their existing CRM data.
- Deal Health Score — AI-calculated 0–100 score per deal with
risk classification (At Risk / Watch / Strong) - Next Best Action — Contextual recommendation per deal based
on activity signals and deal stage - AI Deal Summary — Auto-generated 2–3 sentence status brief
per account - Pipeline KPI Bar — Live stats: Total Pipeline, Deals At Risk,
Avg Days to Close, Win Rate - Activity Timeline — Last 4 interactions per deal (call, email,
meeting) with summary notes - Deal Detail Drawer — Right-panel deep dive on any selected deal
| Included | Excluded (V2) |
|---|---|
| Deal health scoring | CRM live sync (Salesforce API) |
| AI next best action | Sentiment analysis from call recordings |
| Activity timeline | Manager/team rollup view |
| Pipeline KPI summary | Mobile-optimized layout |
| KPI | Target |
|---|---|
| Reduction in avg. days-to-close | 15–20% within 90 days |
| % of reps acting on AI recommendations within 24h | >60% adoption |
| Time saved on manual account research per rep/week | 2+ hours |
Built with Replit Agent (vibe coding). Frontend only — AI outputs
are simulated with realistic sample data to demonstrate the product
concept without requiring live API integration.
- Open the Replit project link: https://asset-linker--skyplon.replit.app
- Click Run
- The app loads with pre-populated sample data — no login required