Upload a CV and dewsletter reads it the way the market does: against every live internship title, counting what it finds. No taste, no vibes, no model. Every sentence below carries a measured number, and every gap comes with the exact move that closes it. It is blunt because the market is blunt; it is useful because the market is not.
below: a sample report, generated by dewsletter from a student CV against this morning's dataset. paste yours above to replace it.
| component | evidence counted | points |
|---|---|---|
| market coverage | 7/8 top demand terms present | 30/30 |
| quantified claims | 13 numbers with units | 20/20 |
| named tools | 12 recognizable tools | 15/15 |
| github link | present | 10/10 |
| action-verb bullets | 5 found | 10/10 |
| projects section | present | 10/10 |
| length sanity | 143 words | 0/5 |
Counted over 1176 live internship titles this morning. This column is why the findings are not opinions.
| term | live titles |
|---|---|
| ai | 442 |
| data science | 175 |
| machine learning | 172 |
| research | 143 |
| data engineering | 81 |
| agentic ai | 35 |
| infrastructure | 32 |
| automation | 30 |