An
An image annotation and object detection tool written in C
Hacker NewsAn image annotation and object detection tool written in C
Share cardActual performance
5points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released51%51% 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, personal49%49% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos24%24% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting23%23% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto19%19% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Pi
Picfit, an image resizing written in Go51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Picfit, an image resizing written in Go
Hacker News8Au
Automated video annotation tool for object detection on iOS42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Automated video annotation tool for object detection on iOS
Hacker News1Us
Using object detection to turn a webcam into a lightgun65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Using object detection to turn a webcam into a lightgun
Hacker News3Ob
Object Detection on Android for Self Driving Cars Written in Tensorflow64%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Detection on Android for Self Driving Cars Written in Tensorflow
Hacker News1Ob
Object Detection for Complex Classification Scenarios41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Detection for Complex Classification Scenarios
Hacker News2Ob
Object Detection in an Hour53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Detection in an Hour
Hacker News166I
I Tried to Do Realtime Object Detection in Google Colab63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I Tried to Do Realtime Object Detection in Google Colab
Hacker News3Ob
Object Detection in 50ms on a CPU54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Detection in 50ms on a CPU
Hacker News6Machine Learning55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Object Detection
Indie Hackers5$1,000/moaiYO
YOLOv3 – Pruning and Quantizing to Improve Object Detection Performance50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
YOLOv3 – Pruning and Quantizing to Improve Object Detection Performance
Hacker News4