Actual performance
536upvotes
252comments
Made the leaderboard
Traction signals
Makers1
Launch Intel predictions
Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos55%55% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive52%52% 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, podcasting50%50% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal36%36% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto26%26% predicted probability of success on BetaList, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Correct prediction on native model
Similar products
St
Stand Up California45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Stand Up California
Hacker News2Wh
What do you stand to make?47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
What do you stand to make?
Hacker News4Ds
Dsu (daily stand-up) Ruby gem35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Dsu (daily stand-up) Ruby gem
Hacker News2SiteFast44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Turn GoogleSheets into websites within minutes.
Indie Hackers5contentPl
Please Stand Up – macOS app reminds you to stand up every 30 minutes53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Please Stand Up – macOS app reminds you to stand up every 30 minutes
Hacker News3mobile stand20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Mobile stand
Indie Hackerscommitment-full-timeSu
Substack2Kindle – my internet lemonade stand50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Substack2Kindle – my internet lemonade stand
Hacker News1
VCOM RGB Headphones Stand with hub30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
RGB headphone stand with USBhub for organized, stylish desks
Product Hunt+12Se
See what websites are dropping what cookies & more58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
See what websites are dropping what cookies & more
Hacker News1Si
Sitekite – Imgur for Websites68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Sitekite – Imgur for Websites
Hacker News114