Notioly

Notioly

AppSumo

Customers appreciate Notioly for its versatile usage, attractive handmade illustrations, and regular updates. However, some users have noted the absence of male figures and occasional update issues.

Customers appreciate Notioly for its versatile usage, attractive handmade illustrations, and regular updates. However, some users have noted the absence of male figures and occasional update issues. Overall, Notioly remains a valuable purchase for anyone seeking a collection of over 100 Notion-style illustrations.

Share card

Actual performance

20reviews
Did not reach leaderboard

Traction signals

Rating5.0 / 5
Purchases773

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: user · Missing: mac, agents, macos
64%64% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: occasional, users · Missing: plus, platform, intuitive
60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Strong signals: users · Missing: mobile apps, ios, personal
51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
42%42% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, io · Missing: https docs, excited, just released
42%42% 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, podcasting
22%22% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Incorrect prediction on native model

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