High-Quality NSFW Video App

Hacker News

High-Quality NSFW Video App

Hi Hacker News! It's safe to say that we all enjoy some quality apps on our phones. But guess what, there's a certain industry that's still clinging to the usability and security standards from the desktop era of the 2010s. Poorly designed UIs, bombardments of ads, random popups, scams, etc. This industry operates in such a shady way that we as users rather keep their products in incognito mode. We say no more and offer you the following solution: USER EXPERIENCE - Mobile first and native-like UI design. - Beautiful dark mode that's easy on your eyes. - Instant navigations, smooth scrolling, touch gestures. - Can be added to the home screen for fullscreen and quick access (PWA). - No annoying ads and popups. PRIVACY PROTECTION - All data is stored locally in browser storage. No personal information is sent to servers. - All functionality is available without sign up or other personal identification. - No Google Analytics. Instead, we use the privacy-focused Fathom Analytics (usefathom.com). - No URL paths that expose information in the browsing history. Forward/back navigation still works perfectly. INCLUSIVITY - Only personal (and verified) accounts allowed. No studios or brands. This means that all available content has been approved by their actors and was created consensually. - We welcome all types of sexual orientation and try to provide the best possible service to all of our users. Please note that this product is only intended for persons over the age of 18. Happy swiping!

Visit product View on Hacker NewsMar 17, 2022

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Did not reach leaderboard

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

96%96% 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.

Product HuntOn track for Day 1 leaderboard · Strong signals: google, apps, user · Missing: mac, agents, macos

82%82% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

55%55% predicted probability of success on Hacker News, 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

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, month

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

11%11% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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