AI
AI Powered Slouch Detection for Mac Users
Hacker NewsAI Powered Slouch Detection for Mac Users
Hello Mac users, We're excited to introduce PostureNet.app. Our goal? To support your well-being by gently reminding you to maintain good posture throughout your day. We want to know if our tool makes a difference for you. Give it a try with our 72-hour free trial and please share your feedback. It's invaluable as we continue to improve. Check it out: PostureNet.app Thank you for helping us make a difference.
Share cardActual performance
2points
1comments
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting70%70% 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, user · Missing: agents, macos, agent60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: excited, lua, io · Missing: https docs, just released, exist41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Strong signals: users · Missing: plus, platform, intuitive33%33% 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, revenue19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: introduce · Missing: web3, chat, crypto4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
NameQuick59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI-powered file renaming for Mac power users
Indie Hackers1$200/moaiEx
Extended Isolation Forest for anomaly detection37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Extended Isolation Forest for anomaly detection
Hacker News22RC
RCE Detection59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RCE Detection
Hacker News1An
Anomaly Detection in Ruby52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Anomaly Detection in Ruby
Hacker News24An
Anomaly Detection with Bytewax and Redpanda59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Anomaly Detection with Bytewax and Redpanda
Hacker News3Go
Go-nude – Nudity detection with Go59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Go-nude – Nudity detection with Go
Hacker News16Ch
Chkbit bitrot detection59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Chkbit bitrot detection
Hacker News2CryptoVol and AnomaScope27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Anomaly detection and Volatility predictor
Indie Hackerscommitment-full-time
Refreak12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FACEIT Smurf detection and grenade lineups
Product Hunt+3Cy
CyScout – Solidity Vulnerability Detection Powered by GitHub CodeQL80%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CyScout – Solidity Vulnerability Detection Powered by GitHub CodeQL
Hacker News13