AI Powered DealFlow Architect Widget
$30-250 USD
Dibayar saat pengiriman
Create a powerful AI Widget on abyss, [login to view URL]
**Widget Name:** **DealFlow Architect**
**Tagline:** *One-Click Prospect Intelligence Engine with Embedded Decision Logic*
---
### **Core Value Proposition**
A single-shot widget that transforms raw company names/domains into **executive-ready deal packages** by:
1. **Live API Orchestration** (6+ data sources)
2. **Agentic Prioritization** (custom scoring + auto-tiering)
3. **Context-Aware Content Generation** (10x personalization depth)
4. **Anti-Commodity Outputs** (strategic battle cards, not just emails)
---
### **Inputs**
| Field | Type | Example |
|-------|------|---------|
| **Target Companies** | File Upload (.csv) | `[login to view URL]` (Column A: Company/Domain) |
| **Battlecard Rules** | Text Area | "Prioritize companies using Salesforce with 100-500 employees" |
| **Intensity Level** | Radio Group | Aggressive ▶ Conservative |
| **API Keys** | Secure Text Fields | Clearbit, [login to view URL], LinkedIn* |
---
### **Output Structure**
**For Each Company in Input:**
1. `[Company][login to view URL]`
- **Page 1:** Strategic SWOT (tech gaps, leadership changes)
- **Page 2:** Relationship Map (investors/partners from Crunchbase)
- **Page 3:** Pre-Drafted Legal-Grade Outreach (GDPR-compliant, cites recent news)
**Aggregate Files:**
- `[login to view URL]`
- Tier 1 (Hot): Funding rounds <6mo ago + C-level hires
- Tier 2 (Warm): Tech stack match + hiring sprees
- Tier 3 (Research): Low signal prospects
- `[login to view URL]` (Auto-redacts PII via spaCy NER)
---
### **Defensible Differentiation**
✅ **Recursive Data Validation**
- Cross-checks APIs against scraped data (e.g., "Crunchbase says $10M funding but news mentions layoffs → flag discrepancy")
✅ **Anti-Commodity Tactics**
- Embeds user-specific battlecard logic that competitors can’t reverse-engineer
✅ **Boardroom-to-Browser Ready**
- Outputs work for both M&A teams (PDF battlecards) and SDRs (Salesforce-ready CSV)
---
### **Example Run**
**Input:** `[login to view URL]` with 50 SaaS companies
**Automated Outputs:**
1. 12 Tier 1 battlecards with investor warm intro strategies
2. 28 Tier 2 battlecards with technical integration pitches
3. 10 Tier 3 companies flagged for "awaiting next funding round"
4. Compliance-proof audit trail of all scraped data
---
### **Tech Stack**
```[login to view URL]
pandas==2.2.0
newspaper3k==0.2.8
spacy==3.7.0
reportlab==4.1.0
concurrent-futures==3.0.0
```
```[login to view URL]
libxml2 # For newspaper3k HTML parsing
```
---
### **Why This Wins**
1. **Hardened Against Obsolescence**
- API-based → Updates as data sources change
- Battlecard logic evolves with GPT-4 parsing
2. **Embedded Institutional Knowledge**
- User’s "battlecard rules" become reusable templates
3. **Non-Linear Value Scaling**
- 50 prospects → 50 battlecards (linear)
- 50 prospects → 1 aggregated market map (exponential)
This widget turns Abyss into a **strategic intelligence platform**, not just a task automator. It leverages Python’s unique strengths (parallel processing, ML libs, doc gen) to create outputs that would require $10k+/year SaaS tools otherwise.
ID Proyek: #39046975
Tentang proyek
12 freelancer rata-rata menawar $128 untuk pekerjaan ini
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