Freshdesk

Freshdesk

AppSumo

Satisfy and support your customers

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Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
BetaListSuited for BetaList early-adopters · Missing: web3, chat, crypto
87%87% 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 NewsMay not resonate with HN audience · Missing: https docs, excited, just released
45%45% 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
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
34%34% predicted probability of success on AppSumo, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
33%33% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
32%32% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
26%26% predicted probability of success on Indie Hackers, 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
CloudSPRT
CloudSPRT47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Put your customers at the heart of your support procedure.

Indie Hackers4saas
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Modern Community platform to support your customers56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Modern Community platform to support your customers

Hacker News1
Ho
How Zalando's Mobile engineers support 14M customers51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How Zalando's Mobile engineers support 14M customers

Hacker News3
Ar
Aredis 1.0.7 – now support redis cluster47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Aredis 1.0.7 – now support redis cluster

Hacker News1
Ar
Aredis 1.0.7 – now support redis cluster47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Aredis 1.0.7 – now support redis cluster

Hacker News1
Su
Support the EFF and Others with ThriveLinks39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Support the EFF and Others with ThriveLinks

Hacker News10
Yu
YubiKey HMAC-SHA1 support for KeePassX39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

YubiKey HMAC-SHA1 support for KeePassX

Hacker News32