Experiments

Experiments

Product Hunt

Try new habits, challenges, and tools

Share card

Actual performance

356upvotes
26comments
Made the leaderboard

Traction signals

Makers1

Launch Intel predictions

Analyze your own launch →
AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive
55%55% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos
51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
38%38% predicted probability of success on BetaList, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
34%34% 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 released
34%34% predicted probability of success on Hacker News, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
27%27% 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, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Kaizo - Habits & Challenges
Kaizo - Habits & Challenges53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Habits Tracker, Daily Planner, Challenges

Indie Hackers1calendar
Tr
Try my new app Miscon40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Try my new app Miscon

Hacker News4
Ha
HackMe – XSS/CSRF Challenges48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HackMe – XSS/CSRF Challenges

Hacker News12
Wh
WhitestormJS and ReactJS on Codepen. Try It37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WhitestormJS and ReactJS on Codepen. Try It

Hacker News2
Tr
Try Snowplow41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Try Snowplow

Hacker News6
Tr
Try Enarx61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Try Enarx

Hacker News3
Tr
Try dsu gem as featured in RubyWeekly50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Try dsu gem as featured in RubyWeekly

Hacker News2
Tr
Try to Survive from Volcanoes to Tsunamis41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Try to Survive from Volcanoes to Tsunamis

Hacker News1
Acem
Acem37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Try acme

Indie Hackers
SSENSELESS
SSENSELESS39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Try on anyone

Product Hunt+121Fashion