MIT Open Source • Python 3.8+ CLI • 2,500 Proposals Dataset

Inbox Hook Preview Index (IHPI)

The standardized conversion metric measuring technical proof density and salutation personalism in the first 160 characters of freelance proposals.

$ pip install git+https://github.com/kylehffu/fastbd-ihpi-benchmark.git

⚡ Live In-Browser IHPI Evaluator Client-Side JS

Paste any proposal opening below to compute its 160-character viewport hook score and expected reply rate lift:

Proposal Text / Opening Hook: 149 chars

IHPI Score

100.0

Grade

A+ (Elite)

Expected Lift

+368% Reply

Client Name

Michael ✓

The Scoring Formula

IHPI = (0.30 * CNRR) + (0.40 * TPD_160) + (0.30 * RS_160) - Penalties

- CNRR (Client Name Recovery Rate): Measures whether the client's verified first name was harvested from past feedback (30 pts). Read the full study at https://fast-bd.com/cnrr.
- TPD_160 (Technical Proof Density): Measures frequencies of concrete numbers ($ amounts, latencies, percentages) and platform technologies (40 pts).
- RS_160 (Readability & Structure): Evaluates optimal word count (18-28 words) preventing cognitive overload (30 pts).
- Penalties: Immediate deductions for filler expressions (*"I hope this finds you well"*, *"Dear Hiring Manager"*, *"look no further"*).

Academic & Research Citation

@misc{fastbd2026ihpi,
  title={FastBD Inbox Hook Preview Index (IHPI): An Empirical Conversion Benchmark for Freelance Proposal Inboxes},
  author={FastBD Research Labs},
  year={2026},
  howpublished={\url{https://fast-bd.com/ihpi}}
}

Full Interactive B2B Outbound Suite

Fast-BD includes the Upwork Copilot, LinkedIn Sequence Builder, Local MapsLead Finder, and Quote Generator.

Launch Fast-BD Web Suite →