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Company Evaluation (Lead Evaluation)

Company Evaluation (Lead Evaluation)
Functionality
01.

The method constructs a prompt that includes specific evaluation criteria and information about the lead (startup) that needs to be analyzed.

02.

The prompt is a formatted string containing placeholders for the startup details such as name, website, program sector, etc. It also provides a scoring model for evaluation criteria like market attractiveness, product/technology, team, and traction.

03.

The entire prompt, along with the lead information, is prepared to be sent to the OpenAI API for text completion.

Potential Benefits
TL;DR summaries offer swift overviews of lengthy content, saving time for readers lacking time to read the whole text.
TL;DR summarization aids content consumption amid information overload, letting users efficiently skim to find worthier pieces.
Shareable summaries make passing key information to others easy and convenient.
It helps users grasp key points in a fraction of the time needed for complete reading.
TL;DR summaries support decision-making by quickly presenting crucial insights, without delving into full texts.
TL;DR makes information accessible to busy, disabled, or non-native speakers.
Technical Details
OBJECTS USED​

Lead

CUSTOM FIELDS​
  • Lead > Startup_name__c.
  • Lead > Startup_Website__c.
  • Lead > Program_Sector__c.
  • Lead > Deck__c.
  • Lead > Describe_problem_you_are_solving_how__c.
  • Lead > What_are_you_Building__c.
  • Lead > Market_Size__c.
  • Lead > What_makes_your_team_special__c.
  • Lead > Who_are_your_co_founders_their_roles__c.
  • Lead > Product_Stage__c.
  • Lead > Next_Fundraising_Round__c.
  • Lead > Funds_Raised__c.
  • Lead > Notable_Investors__c.
  • Lead > Incubator_Accelerator__c.
  • Lead > Traction__c.
  • Lead > Your_plans_for_the_MENA_region_the_UAE__c.
  • Lead > Headquarter__c.
  • Lead > co_founders_will_reside_in_Abu_Dhabi__c.
APIS USED​

OpenAI (Services: Completions)

Lightning Web Components developed

leadCompo