ProofCap
Independent revenue verification for SaaS M&A
What it does
Cross-reference live billing data (Stripe, Lemon Squeezy, and more) against Google Analytics traffic signals. Source-connected revenue verification for SaaS M&A due diligence.
Don't wait weeks for an expensive M&A agency to flag ghost revenue. Start with a free public OSINT footprint scan, then go deep with GA4 + billing data cross-reference in 5 minutes . Plausibility scoring, EPMV analysis, and a timestamped risk vector trace — delivered as a cryptographically signed, shareable report. Connect your payment processor and Google Analytics via OAuth2. ProofCap is granted read-only access — it cannot move money or modify data. Our forensic AI pipeline cross-references revenue signals against traffic patterns, backlink profiles, and engagement anomalies. Receive a timestamped audit report with a plausibility score, risk vector map, and shareable link to send buyers…from proofcap.io
Does a similar job
all alternatives →
ProfitWell Revenue Recognition2017 · ▲215Audit-proof SaaS revenue recognition for Stripe & Chargebee


Revenue by Sleek AnalyticsApr 2026 · getsleek.io · ▲84See your revenue alongside your traffic. In real time.
VerifiedMRR — Private Revenue DashboardsJul 2026 · verifiedmrr.com · ▲28All your projects' revenue in one dashboard

More growth this month
the category →
AstraPixels▲267A pixel-art solar system at its real current positions.
Growth · 30d ago · astrapixels.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 11d ago · louisabraham.github.io



Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 18d ago · simedw.com