Text & Content Analysis
This page analyzes how a selected category, entity, or narrative frame appears in recent news coverage within the specified time window. Metrics and breakdowns are derived from the active article corpus.
Explore by Category
Corpus KPIs
Entity
powerpoint
Articles
1
From
2026-06-22 19:28:42+00
To
2026-06-22 19:28:42+00
Range
2026-06-16 14:20:43.458855+00 →
2026-06-23 14:20:43.458855+00
Who’s being talked about
Top Entities
| Entity | Label | Mentions | Actions |
|---|---|---|---|
| 1 million | MONEY | 1 | 📊 🔍 🧲 |
| 15 million to 2 million | MONEY | 1 | 📊 🔍 🧲 |
| ai | ORG | 1 | 📊 🔍 🧲 |
| amanda breen | ORG | 1 | 📊 🔍 🧲 |
| amanda breen senior | ORG | 1 | 📊 🔍 🧲 |
| barnard | GPE | 1 | 📊 🔍 🧲 |
| claude code | PRODUCT | 1 | 📊 🔍 🧲 |
| claude code so | WORK_OF_ART | 1 | 📊 🔍 🧲 |
| cowork | ORG | 1 | 📊 🔍 🧲 |
| entrepreneurcom | ORG | 1 | 📊 🔍 🧲 |
| excel | PRODUCT | 1 | 📊 🔍 🧲 |
| fiverr | ORG | 1 | 📊 🔍 🧲 |
| fiverr back | ORG | 1 | 📊 🔍 🧲 |
| fiverrs business trends index | ORG | 1 | 📊 🔍 🧲 |
| jessica thomas | PERSON | 1 | 📊 🔍 🧲 |
| key takeaways kashef | ORG | 1 | 📊 🔍 🧲 |
| mark kashef | PERSON | 1 | 📊 🔍 🧲 |
| one | CARDINAL | 1 | 📊 🔍 🧲 |
| powerpoint | ORG | 1 | 📊 🔍 🧲 |
| prompt advisers | ORG | 1 | 📊 🔍 🧲 |
| these days | DATE | 1 | 📊 🔍 🧲 |
| this year | DATE | 1 | 📊 🔍 🧲 |
| today | DATE | 1 | 📊 🔍 🧲 |
| turbo | GPE | 1 | 📊 🔍 🧲 |
| word | PERSON | 1 | 📊 🔍 🧲 |
Articles included
Top entities
Top sources
Top narrative frames
| Pub Date | Category | Domain | Title | Analyze | Author | Sent | Score |
|---|---|---|---|---|---|---|---|
| 2026-06-22 19:28:42+00 | Business |
|
I Built a 7-Figure Business Teaching People How to Engineer AI Prompts. My Advice Usually Boils Down to 3 Sentences. | Analyze | Amanda Breen | 😐 neutral | 0.1497 |