HD
HDRify – easily make HDR emojis and memes
Hacker NewsHDRify – easily make HDR emojis and memes
Reading the 'HDR-Infused Emoji' post on HN a few days ago ( https://news.ycombinator.com/item?id=43717606 ) I couldn't help but think that such a chaotic-evil tool needs to be as easy-to-use as possible. So, I made HDRify.com to help the less-technically inclined access the magic of HDR emojis & brighten their Slack channels :) Note - only works on HDR screens with a browser that supports HDR - Chrome is relatively a safe bet.
Share cardActual performance
3points
1comments
Did not reach leaderboard
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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created82%82% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: slack, new · Missing: mac, agents, macos40%40% 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, revenue10%10% 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, crypto0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
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