VO
VOSR 2 image upscaling, in the browser
Hacker NewsVOSR 2 image upscaling, in the browser
Hey everyone, I’ve been interested in AI image upscaling for years, but running these models locally usually requires setting up complicated development environments. I used AI to port VOSR2 to WebGPU so anyone can run it directly in their browser. You’ll still need a fairly powerful machine, such as a modern Mac, but the results are comparable to Topaz, and it’s free. I’d love to hear what you think.
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Strong signals: para · Missing: supports, reddit linkedin, podcasting80%80% 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: mac, model, models · Missing: agents, macos, agent73%73% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released52%52% 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 · Strong signals: para · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive32%32% 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, revenue16%16% 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, crypto1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
In
Intergalactic image tagging cup45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Intergalactic image tagging cup
Hacker News15In
Intergalactic image tagging cup45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Intergalactic image tagging cup
Hacker News11Im
Image-triangulation (delaunay and voronoi)54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Image-triangulation (delaunay and voronoi)
Hacker News2My
My image removing bookmarklet27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My image removing bookmarklet
Hacker News3Sc
Scikit-Image Cheatsheet36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Scikit-Image Cheatsheet
Hacker News2Im
Image Fusker36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Image Fusker
Hacker News1Po
PokeDex TF – image classifier for pokemon51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
PokeDex TF – image classifier for pokemon
Hacker News1Co
Cosigneth: Container Image Signing and Verifying on Ethereum [Testnet]47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cosigneth: Container Image Signing and Verifying on Ethereum [Testnet]
Hacker News1Im
Image to CRT36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Image to CRT
Hacker News1Ma
Manipulable Image Representation via Triangulation33%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Manipulable Image Representation via Triangulation
Hacker News2