Actiwizard

Actiwizard

Product Hunt

Keep customers hooked with interactive games

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Actual performance

7upvotes
1comments
Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
65%65% predicted probability of success on BetaList, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
42%42% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
38%38% 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, personal
37%37% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

Correct prediction on native model

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BetaList
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Identifying, Segmenting and Contacting our Customers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Identifying, Segmenting and Contacting our Customers

Hacker News11
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Our first three featured customers57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Our first three featured customers

Hacker News3
Vuzers
Vuzers39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Engage with your customers through interactive videos

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We
WebGL Games66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

WebGL Games

Hacker News83
Ga
Games with Gran53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Games with Gran

Hacker News3
Ex
Extending SectorLISP to Implement Basic REPLs and Games56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Extending SectorLISP to Implement Basic REPLs and Games

Hacker News43
Ga
GamerVault – ProductHunt for Underrated Games49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GamerVault – ProductHunt for Underrated Games

Hacker News3
Ma
Mashed Games – destructable MMO browsergame53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mashed Games – destructable MMO browsergame

Hacker News4
TheoryForge
TheoryForge15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A strategic resource for Looter Shooter games

Indie Hackers1games