# How SaaStr uses Replit

**$200,000+**: “Eliminating the speaker review agency saved SaaStr $200,000+ annually”

As published on [replit.com](https://replit.com/customers/saastr), February 2025. Captured by usedby on 2026-10-07.

- Company: [SaaStr](https://www.usedby.ai/companies/saastr.md)
- Tool: [Replit](https://www.usedby.ai/tools/replit.md)
- Industry: [Marketing Tech](https://www.usedby.ai/companies/industry/marketing-tech-martech.md)

## What the story says

SaaStr's founder used Replit to build seven production apps, including a rebuilt website, a VC valuation calculator, an AI pitch analyzer, an AI mentor, an event site, and an automated speaker application grader. The grader replaced an outside agency that reviewed speaker submissions.

Summary written by usedby from the source page, in English. The figures are those of Replit and SaaStr, not ours.

> Perhaps his most valuable build: an automated system that instantly reviews and scores all 4,000+ annual speaker submissions across five factors—speaker prominence, educational value, speaking tour status, media appearances, and more.

- **334,835**: “It's been used 334,835 times in 30 days”
- **100,000**: “Used over 100,000 times, this tool incorporates 20 million words of SaaStr content”
- **4,000+**: “an automated system that instantly reviews and scores all 4,000+ annual speaker submissions”

> It automatically reviews all 4,000. We don't need the agency anymore. We're saving over $200,000 a year, which is interesting.
>
> Jason Lemkin

## What usedby checked

We compared the story with its live page on 2026-10-07.

- Checked: the figure $200,000+ is printed word for word on the page, near the name of SaaStr.
- Checked: the passage quoted above is copied word for word from the page, near the name of SaaStr.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: SaaStr uses Replit. Confirmed line. Latest check across sources: 2026-10-07.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/saastr-replit · How we check: https://www.usedby.ai/methodology