4K
4KFilmDb – A tool to track and analyze 4K movies (HDR, Dolby Atmos)
Hacker News4KFilmDb – A tool to track and analyze 4K movies (HDR, Dolby Atmos)
Hi HN, Over the past few months, I’ve been building 4KFilmDb, the first (and independent) 4K movie database to track and compare streaming quality (HDR, bitrates, Atmos audio) across platforms (Netflix, Prime Video, Disney+, etc). Key features: • HDR & Atmos analyzers • Smart filters (Presets) with built-in options to suggest 4K titles or ready-made lists • Fake HDR titles tracker (spot poor HDR grades easily) Currently in beta, so feedback is very welcome.
Share cardActual performance
3points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting55%55% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: video, month · Missing: mobile apps, ios, personal50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue22%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: audio, smart · Missing: web3, chat, crypto7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
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