Bu
BugClipper - a plug & play library for iOS apps.
Hacker NewsBugClipper - a plug & play library for iOS apps.
Testing apps require lot of screenshots and screencasts to report bugs. We've built BugClipper - an iOS library that fits inside the app and provides the tools required to grab screenshots, annotate them and record screen videos from inside the app. Seeking comments from app developers & testers
Share cardActual performance
1points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
TrustMRRFits verified-revenue profile · Strong signals: ios, apps, video · Missing: mobile apps, personal, entrepreneurs70%70% predicted probability of success on TrustMRR, 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: apps · Missing: mac, agents, macos69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue30%30% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Sv
Svend3r, an interactive plug and play charting library for Svelte50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Svend3r, an interactive plug and play charting library for Svelte
Hacker News12Pl
Plug-and-play collision avoidance module for ROS1 and ROS246%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Plug-and-play collision avoidance module for ROS1 and ROS2
Hacker News1iO
iOS Top Apps still supporting iPhone458%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
iOS Top Apps still supporting iPhone4
Hacker News1UR
URX Turnpike enables deeplinking for iOS apps63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
URX Turnpike enables deeplinking for iOS apps
Hacker News11Sq
Squarespace overhauls its iOS Apps64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Squarespace overhauls its iOS Apps
Hacker News9Finoxy11%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
OpenBanking plug and play integration
Indie HackersPeerBoard59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Plug & Play Community Platform
Indie Hackers7b2bSAMLkit18%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Use SAMLkit as a plug-and-play SAML 2.0 development entity
Indie Hackerscommitment-side-projectAn
AnySkin - Plug-and-play tactile skins for robotics54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AnySkin - Plug-and-play tactile skins for robotics
Hacker News7
AutomataLab17%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Plug-and-play business automations
Product Hunt+12