How to Get Verified on TrustMRR

Why revenue verification matters

The indie SaaS ecosystem runs on trust, and trust breaks when founders inflate numbers. TrustMRR exists because self-reported MRR on Twitter, Indie Hackers, and Acquire.com cannot be taken at face value.

Verified MRR creates a single source of truth. When your TrustMRR profile shows $8,400 MRR connected via Stripe, that number is more credible than a screenshot or a tweet.

The API connection process

TrustMRR connects to Stripe, Paddle, and Lemon Squeezy via read-only API keys. The connection pulls MRR, customer count, and revenue trends automatically. You cannot manually edit verified numbers.

Setup takes 5-10 minutes if you already use one of the supported processors. TrustMRR reads subscription data, calculates MRR, and displays it on your public profile.

• Create a TrustMRR account and select your payment processor.
• Generate a read-only API key from Stripe, Paddle, or Lemon Squeezy.
• Paste the key into TrustMRR. Verification is automatic within minutes.
• Your public profile updates in real time as revenue changes.

What verification unlocks

Verified MRR on TrustMRR unlocks credibility across the indie ecosystem. Acquire.com buyers trust verified numbers. Enterprise customers evaluating small vendors check TrustMRR. Indie Hackers community members cross-reference claims.

TrustMRR profiles also appear in search results for "[company name] MRR," giving you a permanent, verified public record of your revenue trajectory.

• Acquire.com listings with linked TrustMRR profiles close 40% faster (Acquire.com internal data).
• Enterprise customers use TrustMRR to verify vendor revenue stability before signing contracts.
• Indie Hackers posts that link to a TrustMRR profile get higher engagement than unverified claims.
• Your TrustMRR profile serves as a permanent revenue record for future acquisition discussions.

Preparing your revenue data before connecting

Before connecting, clean up your Stripe or Paddle account. TrustMRR calculates MRR from active subscriptions. One-time charges, refunds, and test transactions can skew numbers if your account is messy.

Pause or cancel test subscriptions. Remove sandbox data. Ensure your product catalog reflects only active, paid plans.

• Audit active subscriptions for test accounts or internal users.
• Ensure all paid plans are properly configured as recurring, not one-time.
• Check that refunded subscriptions are marked correctly in your processor dashboard.
• If you have multiple products, verify MRR is calculated across all of them.

Writing your TrustMRR profile description

TrustMRR profiles include a product description that appears in search and on your public page. Our TrustMRR model's top signals include "profitable," "monthly," "entrepreneurs," and "users." These reflect how revenue-generating startups describe themselves on the platform.

The model also estimates MRR and customer count for products classified as revenue-generating. Median estimated MRR is $121/month (50th percentile), $625/month (75th percentile), and $3,002/month (90th percentile).

• State what your product does in one sentence, then mention verified revenue.
• Include customer count alongside MRR for context.
• Name your payment processor and verification date for transparency.
• Update your description when you hit revenue milestones.

Using TrustMRR beyond verification

TrustMRR is not just a badge. The platform publishes leaderboards, trend data, and category rankings that drive discovery. Startups ranked on TrustMRR leaderboards receive inbound interest from buyers, press, and potential customers.

Link your TrustMRR profile everywhere you mention revenue: Twitter bio, Indie Hackers product page, Acquire.com listing, and email signature.

• Add your TrustMRR profile URL to your Twitter/X bio.
• Link TrustMRR from your Indie Hackers product page.
• Include TrustMRR verification in Acquire.com listing highlights.
• Share milestone updates (e.g., "$10k MRR verified on TrustMRR") on social media.

What the Launch Intel TrustMRR model evaluates

Our TrustMRR classifier predicts whether a startup generates revenue based on description text. Average prediction probability is 48.0% across 3,300 startups. For revenue-generating products, regressors estimate MRR and customer count buckets.

TrustMRR has the strongest MRR ranking accuracy of any platform in our system: Spearman correlation of 0.88 for MRR estimates and 0.86 for customer count. This reflects that TrustMRR descriptions contain more financial signal than other platforms.

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