Actual performance
332upvotes
29comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent · Missing: mac, macos, cursor86%86% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto54%54% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue33%33% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting24%24% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
AI
AI Agents that do research for you24%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
AI Agents that do research for you
Hacker News4Br
Brief intro to NFA, DFA and how they relate to regexes34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Brief intro to NFA, DFA and how they relate to regexes
Hacker News1Research Brief — AI Agent23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
market research brief, Automation, Marketing Agent
Indie Hackers1advertising
Harry: Ads Builder40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn one brief into 50 Meta ads, then launch them in a click.
AppSumo
Friday Brief40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Your go-to design arm
Product Hunt+12AI Paragraph Rewriter35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Improve the readability of any paragraph
Indie Hackers1aiMi
Mirrors – Improve AI agents with staging environments38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mirrors – Improve AI agents with staging environments
Hacker News4Ke
Keep it Brief is a new approach to Q&A32%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Keep it Brief is a new approach to Q&A
Hacker News2music brief39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
music brief
Indie Hackers1$1,000/moentertainmentWh
What would you improve before promoting this?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What would you improve before promoting this?
Hacker News6