RawVamp: Dark Aesthetic Photo Editor & Y2K PFP Maker

TrustMRR

RawVamp is the ultimate web-based photo editor engineered for the dark aesthetic, grunge, and Y2K communities. Our privacy-first, 100% local processing engine offers 100+ presets—including free core filters for authentic VHS glitches and digital decay. As a freemium SaaS, users can upgrade to VIP or Platinum for 4K ultra-HD exports, batch processing of up to 10 images, custom grain control, a premium horror preset library, and smart image compression for highly optimized files. Powered by WebGL.

Visit product View on TrustMRRJan 26, 2026Design Tools Software B2C

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Actual performance

6customers

$18MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating8

MRR growth 30d+100.3%

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Hacker NewsStrong engagement from HN community · Strong signals: io, including · Missing: https docs, excited, just released

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue

22%22% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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