UltraWideo

UltraWideo

TrustMRR

UltraWideo kills black bars. It finds any video on any site — including cross-origin embeds — and rescales it to fill the screen, whether that's an ultrawide, a dual-monitor setup or an ordinary 16:9

UltraWideo kills black bars. It finds any video on any site — including cross-origin embeds — and rescales it to fill the screen, whether that's an ultrawide, a dual-monitor setup or an ordinary 16:9 laptop. Free is one global config; Pro adds per-site and per-video profiles, letterbox detection, WebGL ambient light, real-time sharpening and cloud sync. One codebase ships Chrome and Firefox, a Nuxt site on Cloudflare sells it, and a self-hosted licensing API keeps it working offline.

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Actual performance

125customers
$332MRR/mo
Did not reach leaderboard

Traction signals

Domain Rating3
MRR growth 30d-24.1%

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: ide, io, including · Missing: https docs, excited, just released
71%71% predicted probability of success on Hacker News, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: code · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: video · Missing: mobile apps, ios, personal
62%62% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersFits the IH revenue-focused audience · Strong signals: including · Missing: supports, reddit linkedin, podcasting
57%57% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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