GazeIq
Indie HackersTest ad attention in seconds, not weeks
I was running paid ads and wanted to know where people actually look on my creatives before burning budget. Eye-tracking studies cost $5,000–$50,000 and take weeks. I built GazeIQ so any marketer can get the same sign
Share cardActual performance
1followers
$200MRR/mo
Made the leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting84%84% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal39%39% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive35%35% 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, revenue25%25% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · 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
Stroop test39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
A free online Stroop test for attention and reaction time
Indie Hackerscommitment-side-projectI
I made a Klout killer in 2 weeks56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
I made a Klout killer in 2 weeks
Hacker News12
PitchLab28%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Win customers attention in minutes — not weeks.
Product Hunt+7Py
Pytorch implementation of seq2seq model with attention and pointer31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Pytorch implementation of seq2seq model with attention and pointer
Hacker News2Co
CodeNow : Anyone can test your code in seconds42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CodeNow : Anyone can test your code in seconds
Hacker News2Cy
Cybersalience – Guiding user attention using transformer attention37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cybersalience – Guiding user attention using transformer attention
Hacker News3FO
FOMO – See what your community pays attention to34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
FOMO – See what your community pays attention to
Hacker News3Cu
Curve Fitting Bezier Curves in WASM with Enzyme Ad60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Curve Fitting Bezier Curves in WASM with Enzyme Ad
Hacker News2Fl
Flinch – a Dutch auction for one ad slot that never ends55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Flinch – a Dutch auction for one ad slot that never ends
Hacker News3Fi
First Two Weeks on Mac57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
First Two Weeks on Mac
Hacker News3