UX
UX Ninja – LLM Generated UX and SEO Analysis
Hacker NewsUX Ninja – LLM Generated UX and SEO Analysis
I built UX Ninja to help startups and devs like me optimise websites affordably—automated UX and SEO analysis for just $5. It generates detailed reports with actionable insights in minutes, and I’m giving away free discount coupons (expires tomorrow) for the first batch of users to try it out. Please use the code `HNLAUNCH` to try out. https://uxninja.io Would love your feedback!
Share cardActual performance
2points
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting72%72% 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: user, code · Missing: mac, agents, macos63%63% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users, way · Missing: mobile apps, ios, personal40%40% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released27%27% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue13%13% 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.
Correct prediction on native model
Similar products
UX Analytic32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Design Analysis
Indie HackersiO
iOS7 From a UX Perspective53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
iOS7 From a UX Perspective
Hacker News11:1 UX42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UX Mentorship
Indie Hackerscommitment-side-projectAn
An Occam to Go transpiler (LLM-generated)52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
An Occam to Go transpiler (LLM-generated)
Hacker News2UX Stoories22%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
UX Stoories is distinct Community for UX Professionals.
Indie Hackerscommitment-side-projectBe
Betlines ninja48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Betlines ninja
Hacker News1Lu
Lunchbox Ninja65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lunchbox Ninja
Hacker News1Lu
Lunchbox Ninja65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Lunchbox Ninja
Hacker News1Da
Danger World – UX Overhaul48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Danger World – UX Overhaul
Hacker News1Ba
Based UX46%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Based UX
Hacker News1