Automated Speaker Application Review System

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Automated Speaker Application Review System

Inspired by a conversation on:

The Official SaaStr Podcast: SaaS | Founders | Investors

The Official SaaStr Podcast: SaaS | Founders | Investors

SaaStr 822: SaaStr's Top 10+ AI Agents: AI SDR, AI BDR, AI RevOps + More: The How, The Who, The Why with SaaStr CEO Jason Lemkin

Host: Jason Lemkin

Timestamp: 00:50:23 - 00:51:41

Listen to Episode • View Podcast • All Ideas from The Official SaaStr Podcast: SaaS | Founders | Investors

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Feather Flow

Direct Quote

"I vibe-coded a speaker application. It's pretty damn cool. You can try it on sastrlondon.com."

Market Gap

Manual review of speaker applications is inefficient and slow.

Events and conferences often receive a high volume of speaker applications, making it challenging to process each submission thoughtfully. Manual reviews can result in delays, missed opportunities, and a frustrating experience for applicants who may not receive timely feedback. Moreover, relying on human reviewers can lead to inconsistencies in evaluation, as different reviewers may weigh criteria differently. This inefficiency can detract from the overall quality of the event and lead to burnout among staff who must manage this tedious task.

Summary

The Automated Speaker Application Review System utilizes AI to streamline the evaluation process for speaker submissions. This tool automatically grades applications based on predefined criteria and provides instant feedback to applicants. By leveraging machine learning algorithms, it can assess the relevance and quality of submissions, reducing the workload on human reviewers and ensuring a more consistent evaluation process. This system not only speeds up the review process, allowing event organizers to respond to applicants more quickly, but also enhances the quality of the event by ensuring only the best proposals are selected.

Categorization

Business Model
SaaS
Target Founder
Technical
Difficulty
Medium
Time to Revenue
< 1 month
Initial Investment
< $100

Potential MRR (18-24 months)

Conservative
$1,000 - $3,000 MRR
Moderate (Most Likely)
$5,000 - $10,000 MRR
Optimistic
$15,000 - $25,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
9/10
Novelty
8/10
Feasibility
8/10
Market Potential
7/10
Evidence
8/10
Overall
8/10
Found on September 24, 2025 • Analyzed on September 24, 2025 5:27 PM

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How should I validate this saas idea before building it?

2:34 PM

Great question! For a saas idea like this, I'd recommend starting with these validation steps:

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