Actual performance
142upvotes
21comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, using · Missing: mac, macos, cursor89%89% 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, crypto61%61% predicted probability of success on BetaList, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting31%31% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue26%26% 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, intuitive24%24% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
Se
Search San Francisco using natural language70%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Search San Francisco using natural language
Hacker News12Assista AI47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Build powerful automations using natural language.
Indie Hackerscommitment-side-projectCh
ChatGitHub – Exploring GitHub Using Natural Language62%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
ChatGitHub – Exploring GitHub Using Natural Language
Hacker News6PlotMakerPRO56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Create data visualizations using natural language
Indie Hackers1aiSe
Search code using natural language65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Search code using natural language
Hacker News4Co
CompanyGPT – build targeted company list using natural language48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CompanyGPT – build targeted company list using natural language
Hacker News8Ve
Verita – Build Data Dashboards Using Natural Language73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Verita – Build Data Dashboards Using Natural Language
Hacker News1We
Web automation using natural language48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Web automation using natural language
Hacker News3Wr
Write code using natural language69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Write code using natural language
Hacker News209Se
Search photos using natural language58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Search photos using natural language
Hacker News4